2024-03-29T13:12:21Z
http://futureenergysp.com/index.php/tre/oai
oai:ojs.futureenergysp.com:article/39
2017-11-14T19:25:31Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/39
2017-11-14T19:25:31Z
Trends in Renewable Energy
Vol 3, No 2 (2017); 129-140
Bioelectricity Generation using Carbon Felt Electrode in Microbial Fuel Cell (MFC) Inoculated with Mixed Cultures
Peer-reviewed Article
Pramanik, Shishir Kanti; Department of Chemistry, School of Physical Sciences, Shahjalal University of Science and Technology, Sylhet-3114, Bangladesh
Rana, Md Mohosin; Department of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet-3114, Bangladesh
2017-10-10 09:50:26
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/39
MFC; Bioelectricity; Carbon felt; Mixed culture microorganisms; Power density
None
en
Microbial fuel cell (MFC) that was configured with the carbon felt electrode and the cation exchange membrane, and inoculated with mixed culture was demonstrated to yield bioelectricity. The cell was operated under four external loads with pHs ranging from 4 to 10 and the total cell operation was monitored up to 25 days. The presented results revealed that the potentiality of maximum current and power production was achieved while hexacyanoferrate(III) used as a cathodic reaction and at neutral pH condition of media. The maximum current density 2.5 Am-2 and power density 1410 mWm-2 were observed on the 25th day at an anode potential of -378 mV. Stable and steady power was produced by MFC on the day 22nd to 25th when cell operated at 250 Ω external load. The internal resistance of the fuel cell was decreased with the increase of the operation time. Coulombic efficiency (CE %) was found 22.70 % at the stable phase of fuel cell operation.Citation: Pramanik, S. K., and Rana, M. M. (2017). Bioelectricity Generation using Carbon Felt Electrode in Microbial Fuel Cell (MFC) Inoculated with Mixed Cultures. Trends in Renewable Energy, 3, 129-140. DOI: 10.17737/tre.2017.3.2.0039
oai:ojs.futureenergysp.com:article/114
2020-05-25T02:45:29Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/114
2020-05-25T02:45:29Z
Trends in Renewable Energy
Vol 6, No 2 (2020); 111-130
Global Solar Radiation Characteristics at Calabar and Port Harcourt Cities in Nigeria
Peer-reviewed Article
Amadi, Solomon Okechukwu; Dept of Physics, Geology, Geophysics, Alex Ekwueme Federal University
Dike, Timothy
Nwokolo, Samuel Chukwujindu
2020-04-07 20:52:57
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/114
Global solar radiation; Clearness index; Extraterrestrial solar radiation; Calabar; Nigeria
en
This study analyzed the inter-annual variability in solar radiation at Port Harcourt and Calabar, aiming at improving knowledge of solar resources. For the investigation, monthly mean global solar radiation data for fifteen years (2000 – 2014) was collected from Nigerian Meteorological Agency (NIMET), and the monthly mean extraterrestrial solar radiation was determined using globally recognized standard relation. The clearness index parameter was employed for characterizing the spatial variability of solar radiation for Calabar and Port Harcourt. The statistics of the monthly mean solar radiation deviations of Port Harcourt and Calabar was tested using the Kolmogorov–Smirnov method. The test results showed that they are normally distributed random variables. Furthermore, the analysis of sequential properties showed that the coefficients of the auto-correlation with lag 1 are significant for both stations. The auto-correlation coefficients with lag 1, though usually not significant, are negative for both stations. The auto regression lag 1 (AR-1) is the recommended procedure (model equation) for generating monthly solar radiation synthetic time series, with auto-correlation coefficients varying from 0.30 to 0.47 for both stations in the South-South of Nigeria.Citation: Amadi, S. (2020). Global Solar Radiation Characteristics at Calabar and Port Harcourt Cities in Nigeria. Trends in Renewable Energy, 6, 101-120. DOI: 10.17737/tre.2020.6.2.00114
oai:ojs.futureenergysp.com:article/80
2019-01-02T01:22:23Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/80
2019-01-02T01:22:23Z
Trends in Renewable Energy
Vol 5, No 1 (2019); 1-11
Conversion of Food Processing Waste to Bioenergy: Bangladesh Perspective
Peer-reviewed Article
Amin, Mohammad Shaiful Alam; Shahjalal University of science and Technology
Sylhet-3114.
Talukder, Mubassir Jahan
Raju, Rajashri Roy
Khan, Md Maksudur Rahman
2018-10-15 11:24:02
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/80
Microbial fuel cell; Food processing waste; Bio-electricity; Wastewater treatment; Chemical oxygen demand
en
Microbial fuel cell (MFC) is an attractive renewable and sustainable technology to meet up the drastic energy crisis of the world through waste water treatment. This Bioelectrochemical system (BES) converts biomass spontaneously into electricity by the metabolic activity of microorganisms. Food processing industry generally discharges large volume of wastewater, which creates adverse financial and ecological impacts to the industry and environment. In this present contribution, electricity production from food processing industry wastewater that serves as substrates in MFCs was investigated. Dual chambered mediator-less MFC was designed and fabricated using locally available materials. Performance of the MFC was evaluated by measuring potential parameters, such as current generation, current density, change in pH, and change in chemical oxygen demand at different operating conditions. Polarization experiments were conducted to find the maximum power density. Current generation increased with increasing sludge loading, and maximum results were recorded as 90 µA with 9 g of sludge and optimum pH value 8 in the anode chamber. This study documented a maximum power density of 7.42 mW/m2 with the corresponding current density of 25 mA/m2. Citation: Amin, M. S. A., Talukder, M. J., Raju, R. R., and Khan, M. M. R. (2019). Conversion of Food Processing Waste to Bioenergy: Bangladesh Perspective. Trends in Renewable Energy, 5(1), 1-11. DOI: 10.17737/tre.2019.5.1.0080
oai:ojs.futureenergysp.com:article/133
2021-11-04T18:25:38Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/133
2021-11-04T18:25:38Z
Trends in Renewable Energy
Vol 7 (2021); 87-113
Information Technology, Artificial Intelligence and Machine Learning in Smart Grid – Performance Comparison between Topology Identification Methodology and Neural Network Identification Methodology for the Branch Number Approximation of Overhead Low-Voltage Broadband over Power Lines Network Topologies
Peer-reviewed Article
Lazaropoulos, Athanasios G.
2021-10-13 13:50:08
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/133
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Distribution and Transmission Power Grids; Neural Networks; Machine Learning; IT; Modeling; Artificial Intelligence
en
Broadband over Power Lines (BPL) networks that are deployed across the smart grid can benefit from the usage of machine learning, as smarter grid diagnostics are collected and analyzed. In this paper, the neural network identification methodology of Overhead Low-Voltage (OV LV) BPL networks that aims at identifying the number of branches for a given OV LV BPL topology channel attenuation behavior is proposed, which is simply denoted as NNIM-BNI. In order to identify the branch number of an OV LV BPL topology through its channel attenuation behavior, NNIM-BNI exploits the Deterministic Hybrid Model (DHM), which has been extensively tested in OV LV BPL networks for their channel attenuation determination, and the OV LV BPL topology database of Topology Identification Methodology (TIM). The results of NNIM-BNI towards the branch number identification of OV LV BPL topologies are compared against the ones of a newly proposed TIM-based methodology, denoted as TIM-BNI.Citation: Lazaropoulos, A. G. (2021). Information Technology, Artificial Intelligence and Machine Learning in Smart Grid-Performance Comparison between Topology Identification Methodology and Neural Network Identification Methodology for the Branch Number Approximation of Overhead Low-Voltage Broadband over Power Lines Network Topologies. Trends in Renewable Energy, 7, 87-113. DOI: 10.17737/tre.2021.7.1.00133
oai:ojs.futureenergysp.com:article/27
2017-01-20T19:42:00Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/27
2017-01-20T19:42:00Z
Trends in Renewable Energy
Vol 2 (2016): Special Issue on Smart Grid (1); 113-142
Measurement Differences, Faults and Instabilities in Intelligent Energy Systems – Part 2: Fault and Instability Prediction in Overhead High-Voltage Broadband over Power Lines Networks by Applying Fault and Instability Identification Methodology (FIIM)
Peer-reviewed Article
Lazaropoulos, Athanasios G.; School of Electrical and Computer Engineering / National Technical University of Athens /
9 Iroon Polytechniou Street / Zografou, GR 15780
2016-10-03 09:04:24
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/27
Smart Grid; Intelligent Energy Systems; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Faults; Fault Analysis; Transmission Power Grids
en
This companion paper of [1] focuses on the prediction of various faults and instabilities that may occur during the operation of the transmission power grid when overhead high-voltage broadband over power lines (OV HV BPL) networks are deployed across it. Having already been identified the theoretical OV HV BPL transfer function for a given OV HV BPL network [1], the faults and instabilities of the transmission power grid are first differentiated from the measurement differences, which can occur during the determination of an OV HV BPL transfer function, and, then, are identified by applying the best L1 Piecewise Monotonic data Approximation (best L1PMA) to the measured OV HV BPL transfer function. When faults and instabilities are detected, a warning is issued.The contribution of this paper is triple. First, the Topology Identification Methodology (TIM) of [1] is here extended to the proposed Fault and Instability Identification Methodology (FIIM) so that faults and instabilities across the transmission power grid can be identified. Also, the curve similarity performance percentage metric (CSPpM) that acts as the accompanying performance metric of FIIM is introduced. Second, the impact of various fault and instability conditions on the OV HV BPL transfer functions is demonstrated. Third, the fault and instability prediction procedure by applying the FIIM is first reported.Citation: Lazaropoulos, A. G. (2016). Measurement Differences, Faults and Instabilities in Intelligent Energy Systems – Part 2: Fault and Instability Prediction in Overhead High-Voltage Broadband over Power Lines Networks by Applying Fault and Instability Identification Methodology (FIIM). Trends in Renewable Energy, 2(3), 113-142. DOI: 10.17737/tre.2016.2.3.0027
oai:ojs.futureenergysp.com:article/101
2019-12-05T04:28:17Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/101
2019-12-05T04:28:17Z
Trends in Renewable Energy
Vol 5, No 3 (2019); 282-306
Virtual Indicative Broadband over Power Lines Topologies for Respective Subclasses by Adjusting Channel Attenuation Statistical Distribution Parameters of Statistical Hybrid Models (Class Maps) – Part 3: The Case of Overhead Transmission Power Grids
Peer-reviewed Article
Lazaropoulos, Athanasios G.
2019-08-16 09:36:00
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/101
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Distribution Power Grids; Capacity; Statistics; Modeling
en
In [1], [2], the theoretical framework and the numerical results concerning the class mapping of overhead and underground medium voltage broadband over power lines (OV and UN MV BPL) topologies have been presented on the basis of the recently proposed initial statistical hybrid model (iSHM), modified statistical hybrid model (mSHM) and class map definition procedure. In this paper, all the recent findings regarding the statistical channel modeling and class mapping are first applied to transmission BPL networks; say, OV high voltage (HV) BPL topologies. The numerical results of OV HV BPL networks are compared against the respective ones of OV and UN distribution networks revealing significant similarities and differences. Finally, the impact of considering minimum or maximum capacity value instead of the average one during the definition procedure is investigated as well as the behavior of the total simulation time of class mapping.Citation: Lazaropoulos, A. G. (2019). Virtual Indicative Broadband over Power Lines Topologies for Respective Subclasses by Adjusting Channel Attenuation Statistical Distribution Parameters of Statistical Hybrid Models (Class Maps) – Part 3: The Case of Overhead Transmission Power Grids. Trends in Renewable Energy, 5, 282-306. DOI: 10.17737/tre.2019.5.3.00101
oai:ojs.futureenergysp.com:article/164
2024-03-09T01:48:30Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/164
2024-03-09T01:48:30Z
Trends in Renewable Energy
Vol 10, No 1 (2024); 30-66
Big Data and Neural Networks in Smart Grid - Part 1: The Impact of Measurement Differences on the Performance of Neural Network Identification Methodologies of Overhead Low-Voltage Broadband over Power Lines Networks
Peer-reviewed Article
Lazaropoulos, Athanasios G.; 1: School of Electrical and Computer Engineering / National Technical University of Athens / 9 Iroon Polytechniou Street / Zografou, GR 15780
2: Department of Industrial Design and Production Engineering / School of Engineering / University of West Attica / 250 Thivon & P. Ralli / Athens, GR 12244
Leligou, Helen C.; Department of Industrial Design and Production Engineering / School of Engineering / University of West Attica / 250 Thivon & P. Ralli / Athens, GR 12244
2023-11-19 09:22:33
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/164
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Distribution and Transmission Power Grids; Neural Networks; Big Data; Modeling; Measurements
en
Until now, the neural network identification methodology for the branch number identification (NNIM-BNI) and the neural network identification methodology for the distribution line and branch line length approximation (NNIM-LLA) have approximated the number of branches and the distribution line and branch line lengths given the theoretical channel attenuation behavior of the examined overhead low-voltage broadband over powerlines (OV LV BPL) topologies [1], [2]. The impact of measurement differences that follow continuous uniform distribution (CUDs) of different intensities on the performance of NNIM-BNI and NNIM-LLA is assessed in this paper. The countermeasure of the application of OV LV BPL topology databases of higher accuracy is here investigated in the case of NNIM-LLA. The strong inherent mitigation efficiency of NNIM-BNI and NNIM-LLA against CUD measurement differences and especially against those of low intensities is the key finding of this paper. The other two findings that are going to be discussed in this paper are: (i) The dependence of the approximation Root-Mean-Square Deviation (RMSD) stability of NNIM-BNI and NNIM-LLA on the applied default operation settings; and (ii) the proposal of more elaborate countermeasure techniques from the literature against CUD measurement differences aiming at improving NNIM-LLA approximations.Citation: Lazaropoulos, A. G., & Leligou, H. C. (2024). Big Data and Neural Networks in Smart Grid - Part 2: The Impact of Piecewise Monotonic Data Approximation Methods on the Performance of Neural Network Identification Methodology for the Distribution Line and Branch Line Length Approximation of Overhead Low-Voltage Broadband over Powerlines Networks. Trends in Renewable Energy, 10, 30-66. doi: https://doi.org/10.17737/tre.2024.10.1.00164
oai:ojs.futureenergysp.com:article/63
2018-05-03T13:56:10Z
tre:ART
v2
http://futureenergysp.com/index.php/tre/article/view/63
2018-05-03T13:56:10Z
Trends in Renewable Energy
Vol 4, No 1 (2018); 74-89
Enhancement of the Rooftop Photovoltaic Array Characteristic Interconnected by the Grid under Partial Shading Condition by using Cascaded DC/DC Converter [WITHDRAWN]
Peer-reviewed Article
Mohamed, Ahmed M.; Ain shams university
Saffan, Salah M.; Ain shams university
Attalla, Ahmed M.
Elgohary, Hamdy
2018-04-12 19:21:50
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/63
en
This article was withdrawn by the Editor-in-Chief, because it’s found to be a duplicated submission of authors’ publication in other journal:Ahmed M. Mahmoud, Salah M. Saafan, Ahmed M. Attalah. (2018) Enhancement of the rooftop Photovoltaic array characteristic interconnected by the grid under partial shading condition by using cascaded DC/DC converter. International Journal of Power Systems, 3, 42-52
oai:ojs.futureenergysp.com:article/126
2021-11-04T18:26:30Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/126
2021-11-04T18:26:30Z
Trends in Renewable Energy
Vol 6, No 3 (2020); 266-284
Technical Overview of the Net Metering in Lebanon
Peer-reviewed Article
Shabani, Issam; Lebanese University
Chaaban, Mohammad; Lebanese University
2020-10-28 10:28:06
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/126
Net Metering; Solar PV System; Renewable Energy Resources; Sustainable Energy; On-Grid System; Hawaii Back Feed Problem
en
In order to realize the best practices to allow the individuals participate in renewable energy production, a collection of legislation was ratified, and a set of decisions was introduced to encourage the prosumer concept. This notion, which is called Net Metering (NEM), is a billing mechanism that credits PV solar system owners for the energy injected to the grid. Lebanon adopts the NEM policy to reduce the demand and boost the grid through increasing the generation capacity. The decline of solar equipment cost encourages people to subscribe to the NEM service by utilizing the PV solar systems. The implementation of the NEM service provides the customers with leverage over their electricity bills. However, connecting the home micro grid into the vast grid is not easy. It imposes many technical challenges which are discussed in this article.
oai:ojs.futureenergysp.com:article/11
2017-01-20T23:04:06Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/11
2017-01-20T23:04:06Z
Trends in Renewable Energy
Vol 1, No 2 (2015); 87-118
Policies for Carbon Energy Footprint Reduction of Overhead Multiple-Input Multiple-Output High Voltage Broadband over Power Lines Networks
Peer-reviewed Article
http://futureenergysp.com/index.php/tre/article/download/11/50
Lazaropoulos, Athanasios G.; School of Electrical and Computer Engineering, National Technical University of Athens
2015-05-15 00:00:00
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/11
Broadband over Power Lines (BPL) modeling; modal analysis; Power Line Communications (PLC); overhead High-Voltage (HV) power lines; capacity; green technology
en
The impact of different environmental policies on the broadband performance of overhead multiple-input multiple-output high-voltage/broadband over power lines (MIMO/HV/BPL) networks is investigated in this paper. The examined environmental policies focus on the carbon energy footprint reduction of overhead MIMO/HV/BPL networks while respecting their broadband character.The contribution of this paper is three-fold. First, the spectral and environmental performance of various configurations and topologies of overhead MIMO/HV/BPL networks is assessed with regard to respective spectral efficient (SE) and newly presented environmental efficient (EE) metrics. Second, further insights regarding the performance of overhead MIMO/HV/BPL networks highlight the better spectral and environmental performance of these networks against other today’s overhead HV/BPL networks, such as single-input single-output (SISO), single-input multiple-output (SIMO), or multiple-input single-output (MISO) ones. Third, the definition of appropriate environmental policies that optimize the coexistence of the three main sectors of concern, which are the Quality of Service (QoS) requirements, protection of existing radioservices and promotion of environmentally aware limits, is promoted. Towards that direction, the proposed SE/EE trade-off relation of this paper is expected to prove an extremely helpful SE/EE optimization technique.Citation: Lazaropoulos, A. G. (2015). Policies for Carbon Energy Footprint Reduction of Overhead Multiple-Input Multiple-Output High Voltage Broadband over Power Lines Networks. Trends in Renewable Energy, 1(2), 87-118. DOI: 10.17737/tre.2015.1.2.0011
oai:ojs.futureenergysp.com:article/84
2020-04-29T02:50:02Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/84
2020-04-29T02:50:02Z
Trends in Renewable Energy
Vol 5, No 2 (2019); 165-180
Green Refining of Waste Lubricating Oil: A China Perspective
Peer-reviewed Article
Wu, Jinlong
Li, Bo
Wang, Wei
Yang, Shu
Liu, Peng
Zhang, Bo
Yang, Changyan
Ding, Yigang
2019-04-25 16:44:45
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/84
Waste lubricating oil; Green refining; Pretreatment; Thermal extraction and sedimentation; Response surface methodology
en
Presently, many regeneration processes of waste lubricating oil, such as catalytic hydrogenation, are available. However, some of these processes are highly costly and not suitable for Chinese economic conditions, and some may produce contaminated impurities such as acid slag, which cannot meet environmental protection requirements. This study aims to develop a green process for the regeneration of waste lubricating oil into a base oil, which should meet the requirements of green chemistry, have the characteristics of simple operation, low cost, less pollution and high recovery rate, and turn wastes into renewable resources. The new process developed via this research has three stages. First, mechanical and large particle impurities in the waste lubricating oil were removed by pretreatment. Second, most of the colloid and asphaltene were removed by thermal extraction and sedimentation. Finally, the activated bleaching earth was used to further purify the waste lubricating oil. The performance evaluation of the finally obtained lubricating base oil conformed to the standard of the HVI-100 lubricating oil. The total recovery rate of the process was about 63.5%.Citation:Â Wu, J., Li, B., Wang, W., Yang, S., Liu, P., Yang, C., and Ding, Y. (2019). Green Refining of Waste Lubricating Oil: A China Perspective. Trends in Renewable Energy, 5, 165-180. DOI: 10.17737/tre.2019.5.2.0084
oai:ojs.futureenergysp.com:article/149
2023-03-21T02:38:19Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/149
2023-03-21T02:38:19Z
Trends in Renewable Energy
Vol 9, No 1 (2023); 34-77
Artificial Intelligence, Machine Learning and Neural Networks for Tomography in Smart Grid – Performance Comparison between Topology Identification Methodology and Neural Network Identification Methodology for the Distribution Line and Branch Line Length Approximation of Overhead Low-Voltage Broadband over Power Lines Network Topologies
Peer-reviewed Article
Lazaropoulos, Athanasios G.
Leligou, Helen C
2023-01-09 17:33:58
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/149
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Distribution and Transmission Power Grids; Neural Networks; Machine Learning; IT; Modeling; Artificial Intelligence
en
Until now, the neural network identification methodology for the branch number identification (NNIM-BNI) has identified the number of branches for a given overhead low-voltage broadband over powerlines (OV LV BPL) topology channel attenuation behavior [1]. In this extension paper, NNIM-BNI is extended so that the lengths of the distribution lines and branch lines for a given OV LV BPL topology channel attenuation behavior can be approximated; say, the tomography of the OV LV BPL topology. NNIM exploits the Deterministic Hybrid Model (DHM) and the OV LV BPL topology database of Topology Identification Methodology (TIM). By following the same methodology of the original paper, the results of the neural network identification methodology for the distribution line and branch line length approximation (NNIM-LLA) are compared against the ones of the newly proposed TIM-based methodology, denoted as TIM-LLA.Citation: Lazaropoulos, A. G., and Leligou, H. C. (2023). Artificial Intelligence, Machine Learning and Neural Networks for Tomography in Smart Grid – Performance Comparison between Topology Identification Methodology and Neural Network Identification Methodology for the Distribution Line and Branch Line Length Approximation of Overhead Low-Voltage Broadband over Power Lines Network Topologies. Trends in Renewable Energy, 9, 34-77. DOI: 10.17737/tre.2023.9.1.00149
oai:ojs.futureenergysp.com:article/36
2017-10-07T03:17:55Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/36
2017-10-07T03:17:55Z
Trends in Renewable Energy
Vol 3 (2017): SPECIAL ISSUE ON SMART GRID (2); 2-25
Main Line Fault Localization Methodology in Smart Grid – Part 1: Extended TM2 Method for the Overhead Medium-Voltage Broadband over Power Lines Networks Case
Peer-reviewed Article
Lazaropoulos, Athanasios G.; National Technical University of Athens / School of Electrical and Computer Engineering
2017-09-27 22:50:07
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/36
Smart Grid; Intelligent Energy Systems; Broadband over Power Lines (BPL) Networks; Power Line Communications (PLC); Faults; Fault Analysis; Fault Localization; Distribution Power Grids
en
These three papers cover the overall methodology for the identification and localization of faults that occur in main transmission and distribution lines when broadband over power lines (BPL) networks are deployed across the transmission and distribution power grids, respectively. In fact, this fault case is the only one that cannot be handled by the combined operation of Topology Identification Methodology (TIM) and Instability Identification Methodology (FIIM). After the phase of identification of main distribution line faults, which is presented in this paper, the main line fault localization methodology (MLFLM) is applied in order to localize the faults in overhead medium-voltage BPL (OV MV BPL) networks.The main contribution of this paper, which is focused on the identification of the main distribution line faults, is the presentation of TM2 method extension through the adoption of coupling reflection coefficients. Extended TM2 method is analyzed in order to identify a main distribution line fault regardless of its nature (i.e., short- or open-circuit termination). The behavior of the extended TM2 method is assessed in terms of the main line fault nature and, then, its results are compared against the respective ones during the normal operation, which are given by the original TM2 method, when different main distribution line fault scenarios occur. Extended TM2 method acts as the introductory phase (fault identification) of MLFLM.
oai:ojs.futureenergysp.com:article/115
2020-05-25T02:45:29Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/115
2020-05-25T02:45:29Z
Trends in Renewable Energy
Vol 6, No 2 (2020); 131-155
Mathematical Analysis of Solar Photovoltaic Array Configurations with Partial Shaded Modules
Peer-reviewed Article
BALARAJU, V; SV University, Tirupati, Andhrapradesh,India
Chengaiah, Ch.
2020-04-28 16:44:57
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/115
Photovoltaic cell; Module; Array; Configurations; Shaded modules; Row currents; PV array power
en
Solar-based photovoltaic (SPV) cells produce power from sunlight through the photovoltaic effect. The yield voltage of a single PV cell is small, so the voltage is extended by interfacing PV cells in series arrangement known as PV module or panel. Solar PV array comprises of series and parallel connections of modules in the grid structure with a few columns and rows. The various kinds of SPV array configurations or topologies are shaped by changing the number of electrical connections between module to module in an array. This paper presents the mathematical examination of 6×6 size regular SPV array configurations, including Total-Cross-Tied, Parallel, Honey-Comb, Series-Parallel, Series, Bridge-Linked types beneath un-shading case, and different proposed shading cases (primarily short narrow, short wide, long narrow, and long wide shadings). The electrical proportionate circuit of the SPV array setups was analyzed by Kirchhoff’s laws at distinctive nodes and loops in a sun powered PV array. The location of global maximum power point (GMPP) was determined hypothetically and distinguished in Matlab/simulation software at various shading conditions.Citation: Raju, V.B., and Chengaiah, C. (2020). Mathematical Analysis of Solar Photovoltaic Array Configurations with Partial Shaded Modules. Trends in Renewable Energy, 6, 121-143. DOI: 10.17737/tre.2020.6.2.00115
oai:ojs.futureenergysp.com:article/81
2019-01-02T01:22:23Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/81
2019-01-02T01:22:23Z
Trends in Renewable Energy
Vol 5, No 1 (2019); 12-46
Detection of Energy Theft in Overhead Low-Voltage Power Grids – The Hook Style Energy Theft in the Smart Grid Era
Peer-reviewed Article
Lazaropoulos, Athanasios G.; National Technical University of Athens / School of Electrical and Computer Engineering
2018-10-26 20:08:08
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/81
Smart Grid; Broadband over Power Lines (BPL); Power Line Communications (PLC); Distribution Power Grid; Energy Theft
en
This paper investigates the possibility of detecting the hook style energy theft in the overhead low-voltage (OV LV) power grids when the smart grid conveniences are available. On the basis of the broadband over power lines (BPL) technology and the proposed method of the detection of the hook style energy theft (HS-DET method), a plethora of different scenarios concerning the hook style energy theft is considered so that the performance of HS-DET method can be assessed. The impact of OV LV BPL topologies, hook characteristics and measurement differences on the performance of HS-DET method is mainly assessed through appropriate metrics, such as derivative metrics of percent error sum (PES). Finally, appropriate contour plots against the hook style energy theft are proposed revealing the efficiency of HS-DET method against any relevant threat in any conditions.Citiation: Lazaropoulos, A. G. (2019). Detection of Energy Theft in Overhead Low-Voltage Power Grids – The Hook Style Energy Theft in the Smart Grid Era. Trends in Renewable Energy, 5(1), 12-46. DOI: 10.17737/tre.2019.5.1.0081
oai:ojs.futureenergysp.com:article/132
2021-11-04T18:25:38Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/132
2021-11-04T18:25:38Z
Trends in Renewable Energy
Vol 7 (2021); 114-126
World on the Road to 100% Renewable Energy
Peer-reviewed Article
Norouzi, Nima; Department of energy engineering and physics, Amirkabir university of technology (Tehran polytechnic), 424 Hafez Avenue, PO Box 15875-4413, Tehran, Iran,
Fani, Maryam; Department of energy engineering and physics, Amirkabir university of technology (Tehran polytechnic), 424 Hafez Avenue, PO Box 15875-4413, Tehran, Iran,
2021-10-28 11:41:14
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/132
100% Renewable Energy; Alternative Energy Sources; Fossil Fuel; Energy policy; sustainable economics
en
In the study, the current and future status of renewable energy resources were compiled in the light of large databases of national and international renewable energy institutions, and the latest situation in the world in the transition to 100% renewable energy was examined. The extent of the goal for the transition to 100% renewable energy has been determined, and predictions have been made based on all this information. In today’s world where energy and environmental problems are on the agenda, countries’ transition to renewable energy is the primary solution. This goal is called the transition to 100% renewable energy, which brings advantages such as providing needed energy and producing clean energy. Today, renewable energy sources account for more than one-third of the global energy capacity, and the world is rapidly moving towards 100% renewable energy. Compared with 2017, the total amount of renewable energy in 2018 increased by 181 GW, and the number of countries with an increase in the proportion of renewable energy increased. Taking into account the external dependence of the use of fossil fuels and environmental issues, this development is at a promising level in the future. In order to shift from highly polluting oil resources to natural gas and renewable resources, this article aims to investigate the current global energy transition trends, and then propose some important strategies to get closer to upstream goals and obligations in this way.Citation: Norouzi, N., and Fani, M. (2021). World on the Road to 100% Renewable Energy. Trends in Renewable Energy, 7, 114-126. DOI: 10.17737/tre.2021.7.1.00132
oai:ojs.futureenergysp.com:article/31
2017-02-07T04:01:52Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/31
2017-02-07T04:01:52Z
Trends in Renewable Energy
Vol 3, No 1 (2017); 61-75
Optimization of Raw Material Composition in an Agricultural Biogas Plant
Peer-reviewed Article
Mézes, Lili
Bai, Attila; University of Debrecen
Nagy, Dávid
Cinka, István
Gabnai, Zoltán
2017-01-01 07:29:04
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/31
Biogas; Optimization; Heterosis Effect; Feedstock; Substrate
University of Debrecen, Faculty of Economics and Business Research Fund (in Hungarian: GTK Kutatási Alap).
en
We analyzed the operation of a typical agricultural biogas plant in Hungary. Our aim was to optimize the composition of substrates for the biogas production and make a correct recommendation for completing feedstock recipes by considering the raw materials and technologies analyzed. The calculations were based on a very detailed database (including the daily operating data of 1673 days). Distribution of the biogas yields in summer and winter periods was normal based on the One-Sample Kolmogorov-Smirnov test, while the variance of data was homogeneous based on the Levene-test. Factor analysis of the biogas yield was performed with the Kaiser-Meyer-Olkin Measure of Sampling Adequacy probe (0.616) and the Bartlett's Test. According to the objectivity of our LP (linear program) model, we believe that a significant excess biogas yield (18-66%) could be achieved by the use of our model compared to the actual measured data. Although the amount of corn silage, grass silage, and the extract – as variables – was minimal in the recipe, they played a crucial role in the total biogas yield of the recipe because of their significantly higher organic matter contents and specific biogas yields. Our results could provide a reliable foundation for optimizing of the recipe in biogas plants with raw material base similar to the analyzed plants.Citation: Mézes, L., Bai, A., Nagy, D., Cinka, I., and Gabnai, Z. (2017). Optimization of Raw Material Composition in an Agricultural Biogas Plant. Trends in Renewable Energy, 3(1), 61-75. DOI: 10.17737/tre.2017.3.1.0031
oai:ojs.futureenergysp.com:article/107
2019-12-05T04:28:17Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/107
2019-12-05T04:28:17Z
Trends in Renewable Energy
Vol 5, No 3 (2019); 307-332
Impact of Sunshine Duration and Clearness Index on Diffuse Solar Radiation Estimation in Mountainous Climate
Peer-reviewed Article
Nwokolo, Samuel Chukwujindu; University of Calabar, Calabar, Nigeria
Otse, Christiana Queennet; Department Estate Management, Faculty of Environmental Design and Management, Obafemi Awolowo University, Ile-Ife
2019-11-30 07:20:06
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/107
Diffuse solar radiation; Empirical models; Classification; Functional forms; Hyderabad; Pakistan
Energy Sector management Assistance Program power by the World Bank Group
en; FCT
In this paper, measured data of solar radiation was applied to develop forty-three (43) empirical models for estimation of monthly average diffuse solar radiation using clearness index, sunshine duration and a combination of them as predictors. The data covered a period of two years from May 2015 to April 2017 and was measured at Mehran University of Engineering and Technology, Hyderabad, Pakistan. Through a comprehensive statistical performance analysis, 43 dimensional models developed were tested for constructing the most accurate regression model to predict the monthly mean daily diffuse solar radiation in Hyderabad, Pakistan. On the whole, the model 42 – a hybrid of sunshine duration and clearness index predictors of diffuse fraction outperformed the remaining models proposed in this study. The best model (model 42) was then compared with 5 models and 5 measured data of diffuse solar radiation available in the literature and the NASA database by applying statistical indicators such as MBE, MPE, RMSE, RRMSE, R2 and GPI. Through the analysis, the hybrid of sunshine duration and clearness index predictors of diffuse fraction model (model 42) was selected as the most appropriate model. The study concluded that the proposed hybrid model can serve as a baseline for the design of photovoltaic systems and estimate the monthly mean daily diffuse solar radiation on the horizontal surface for Hyderabad, Pakistan and other locations with similar local climate conditions.Citation: Nwokolo, S.C. and Otse, C.Q. (2019). Impact of Sunshine Duration and Clearness Index on Diffuse Solar Radiation Estimation in Mountainous Climate. Trends in Renewable Energy, 5, 307-332. DOI: 10.17737/tre.2019.5.3.00107
oai:ojs.futureenergysp.com:article/165
2024-03-09T01:48:30Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/165
2024-03-09T01:48:30Z
Trends in Renewable Energy
Vol 10, No 1 (2024); 67-97
Big Data and Neural Networks in Smart Grid - Part 2: The Impact of Piecewise Monotonic Data Approximation Methods on the Performance of Neural Network Identification Methodology for the Distribution Line and Branch Line Length Approximation of Overhead Low-Voltage Broadband over Powerlines Networks
Peer-reviewed Article
Lazaropoulos, Athanasios G.; 1: School of Electrical and Computer Engineering / National Technical University of Athens / 9 Iroon Polytechniou Street / Zografou, GR 15780
2: Department of Industrial Design and Production Engineering / School of Engineering / University of West Attica / 250 Thivon & P. Ralli / Athens, GR 12244
Leligou, Helen C.; Department of Industrial Design and Production Engineering / School of Engineering / University of West Attica / 250 Thivon & P. Ralli / Athens, GR 12244
2023-11-19 09:37:15
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/165
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Distribution and Transmission Power Grids; Neural Networks; Big Data; Modeling; Measurements; Piecewise Monotonic Data Approximations
en
Τhe impact of measurement differences that follow continuous uniform distributions (CUDs) of different intensities on the performance of the Neural Network Identification Methodology for the distribution line and branch Line Length Approximation (NNIM-LLA) of the overhead low-voltage broadband over powerlines (OV LV BPL) topologies has been assessed in [1]. When the αCUD values of the applied CUD measurement differences remain low and below 5dB, NNIM-LLA may internally and satisfactorily cope with the CUD measurement differences. However, when the αCUD values of CUD measurement differences exceed approximately 5dB, external countermeasure techniques against the measurement differences are required to be applied to the contaminated data prior to their handling by NNIM-LLA. In this companion paper, the impact of piecewise monotonic data approximation methods, such as L1PMA and L2WPMA of the literature, on the performance of NNIM-LLA of OV LV BPL topologies is assessed when CUD measurement differences of various αCUD values are applied. The key findings that are going to be discussed in this companion paper are: (i) The crucial role of the applied numbers of monotonic sections of the L1PMA and L2WPMA for the overall performance improvement of NNIM-LLA approximations as well as the dependence of the applied numbers of monotonic sections on the complexity of the examined OV LV BPL topology classes; and (ii) the performance comparison of the piecewise monotonic data approximation methods of this paper against the one of more elaborated versions of the default operation settings in order to reveal the most suitable countermeasure technique against the CUD measurement differences in OV LV BPL topologies.Citation: Lazaropoulos, A. G., & Leligou, H. C. (2024). Big Data and Neural Networks in Smart Grid - Part 2: The Impact of Piecewise Monotonic Data Approximation Methods on the Performance of Neural Network Identification Methodology for the Distribution Line and Branch Line Length Approximation of Overhead Low-Voltage Broadband over Powerlines Networks. Trends in Renewable Energy, 10, 67-97. doi: https://doi.org/10.17737/tre.2024.10.1.00165
oai:ojs.futureenergysp.com:article/70
2018-10-05T21:19:46Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/70
2018-10-05T21:19:46Z
Trends in Renewable Energy
Vol 4, No 2 (2018); 96-110
Enhancing Frequency of Grid-connected Wind Farm using Energy Capacitor System and Trap RC Shunt Damper Strategies
Peer-reviewed Article
http://futureenergysp.com/index.php/tre/article/download/70/329
Okedu, Kenneth E
2018-06-03 09:08:12
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/70
Wind energy; Wind farm; Frequency; Grid; Wind turbine; Filters; RC damper
en
In this paper, a combination of the conventional energy capacitor system and a proposed two-trap Resistor Capacitor (RC) shunt damper circuitry is used to stabilize a grid network made up of fixed speed wind turbines, steam turbines and hydro turbines. The energy storage system is connected to the terminals of the wind farm and has the capability of stabilizing the grid network during periods of wind speed change. The two-trap damper has the ability to mitigate the mechanical vibration of the wind turbine and increase its output and rotor speed acceleration during disturbances, so the turbine speed is reduced. Simulations were run using Power System Computer Aided Design and Electromagnetic Transient Including DC (PSCAD/EMTDC) environment, for scenarios where grid frequency control was not implemented and when frequency control was employed using the energy storage device. A further investigation was carried out in enhancing the performance of the grid network considering the proposed two-trap shunt DC damper control topology. The results show the improved performance of the variables of the wind turbine and the entire grid network during dynamics, due to the coordinated control strategies of the two-trap RC circuit and the energy capacitor system employed. Citation: Okedu, K. E. (2018). Enhancing Frequency of Grid-connected Wind Farm using Energy Capacitor System and Trap RC Shunt Damper Strategies. Trends in Renewable Energy, 4, 96-110. DOI: 10.17737/tre.2018.4.2.0070
oai:ojs.futureenergysp.com:article/128
2021-11-04T18:25:38Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/128
2021-11-04T18:25:38Z
Trends in Renewable Energy
Vol 7 (2021); 1-23
Enhance the Output Power of a Shaded Solar Photovoltaic Arrays with Shade Dispersion based TCT Configuration
Peer-reviewed Article
Bala Raju, V; SV University, Tirupati, Andhrapradesh,India
Chengaiah, Ch; SV University, Tirupati, Andhrapradesh,India
2021-04-22 19:39:33
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/128
PV Array; Modules; Configurations; Mismatch Losses; Power improvement; Shading Cases
NA
en
Partial shading has a negative impact on the performance parameters of a Solar Photovoltaic (PV) array, because it shades certain panels while leaving others un-shaded. This article focuses on modeling, comparing and performance assessment of 6×6, 6×5 and 5×6 size shadowed solar PV arrays under different partial shading cases in the MATLAB/ Simulink software. For this purpose, the simulation of series-parallel (SP), Total-Cross-Tied (TCT) and proposed shade dispersion based TCT (SD-TCT) type of array configurations was carried out under few shading cases. The proposed SD-TCT was designed using the shades dispersion technique, which is based on a number logic approach. In this technique, in order to effectively remove the row-current mismatches in the TCT PV array configuration, the shaded and un-shaded modules in an array were re-arranged, so that the shading on modules expands across the whole array. The physical placement of the TCT array modules has been reordered in accordance with the proposed number logic pattern exclusive of altering the electrical links among the panels. The simulation results showed that the performance of the SD-TCT type was superior to that of conventional array configurations.Citation: Bala Raju, V., and Chengaiah, C. (2021). Enhance the Output Power of a Shaded Solar Photovoltaic Arrays with Shade Dispersion based TCT Configuration. Trends in Renewable Energy, 7, 1-23. DOI: 10.17737/tre.2021.7.1.00128
oai:ojs.futureenergysp.com:article/12
2017-01-20T23:05:01Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/12
2017-01-20T23:05:01Z
Trends in Renewable Energy
Vol 1, No 2 (2015); 119-128
Synthesis and Characterization of Carbon Nanospheres Obtained by Hydrothermal Carbonization of Wood-derived and Other Saccharides
Peer-reviewed Article
Yan, Qiangu; Mississippi State University
Li, Rui; North Carolina A&T State University
Toghiani, Hossein; Dave C. Swalm School of Chemical Engineering, Mississippi State University
Cai, Zhiyong; Forest Products Lab, USDA Forest Service
Zhang, Jilei; Department of Sustainable Bioproducts, Mississippi State University
2015-07-04 03:24:16
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/12
Hydrothermal Carbonization (HTC); Carbon Nanospheres; Carbohydrates; Pine Wood-derived Saccharides; Gas Phase Composition; Mechanism of HTC; xylose; glucose; sucrose
en
Carbon nanospheres were synthesized by hydrothermal carbonization (HTC) of four different carbon sources: xylose, glucose, sucrose, and pine wood derived saccharides. The obtained carbon nanospheres were characterized for particle morphology and size, and surface functional groups. Morphological and structural differences among these saccharides derived HTC carbons were clearly observed. Scanning electron microscopy images of carbon nanospheres from HTC of xylose showed uniform spherical particles with diameters around 80 nm, while carbon nanospheres obtained from glucose, sucrose, and pine-derived saccharides had particle size  in the range of 100-150 nm, 300-400 nm, and 50-100 nm, respectively. Carbon dioxide and carbon monoxide were primary gaseous phase products during the HTC process. In addition, methane, propane, hydrogen, and benzene were detected in the gas phase.Citation: Yan, Q., Li, R., Toghiani, H., Cai, Z., and Zhang, J. (2015). Synthesis and Characterization of Carbon Nanospheres Obtained by Hydrothermal Carbonization of Wood-derived and Other Saccharides. Trends in Renewable Energy, 1(2), 119-128. DOI: 10.17737/tre.2015.1.2.0012
oai:ojs.futureenergysp.com:article/96
2019-07-14T17:13:48Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/96
2019-07-14T17:13:48Z
Trends in Renewable Energy
Vol 5, No 2 (2019); 181-217
Enhancing the Statistical Hybrid Model Performance in Overhead and Underground Medium Voltage Broadband over Power Lines Channels by Adopting Empirical Channel Attenuation Statistical Distribution
Peer-reviewed Article
Lazaropoulos, Athanasios G.; National Technical University of Athens, School of Electrical and Computer Engineering
2019-05-28 23:10:24
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/96
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Distribution Power Grids; Capacity; Statistics; Modeling
en
Statistical hybrid model is a statistical channel model suitable for the broadband over power lines (BPL) networks while it is based on the statistical processing of channel attenuation and capacity values of preassumed BPL topology classes. One of the key operation elements of the statistical hybrid model, which affects its results fidelity, is the selection of the appropriate channel attenuation statistical distribution among a set of well-known channel attenuation statistical distributions (i.e., such as Gaussian, Lognormal, Wald, Weibull and Gumbel distributions). The selection of the appropriate channel attenuation statistical distribution becomes a hard task since it depends on a number of factors such as the power grid type –either overhead (OV) or underground (UN) power grid–, the representative distribution BPL topology of the examined class, the applied electromagnetic interference (EMI) policies and the used coupling scheme type. The contribution of this paper is to identify the conditions whether the Empirical channel attenuation statistical distribution can act as the default distribution of statistical hybrid model (modified statistical hybrid model) thus replacing the required comparison analysis prior to the selection of the aforementioned distributions of the initial statistical hybrid model. The evaluation comparison is based on the already applied metrics of capacity percentage change and average absolute capacity percentage change.Citation: Lazaropoulos, A. G. (2019). Enhancing the Statistical Hybrid Model Performance in Overhead and Underground Medium Voltage Broadband over Power Lines Channels by Adopting Empirical Channel Attenuation Statistical Distribution. Trends in Renewable Energy, 5, 181-217. DOI: 10.17737/tre.2019.5.2.0096
oai:ojs.futureenergysp.com:article/150
2023-03-21T02:38:19Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/150
2023-03-21T02:38:19Z
Trends in Renewable Energy
Vol 9, No 1 (2023); 78-106
Effects of Angstrom-Prescott and Hargreaves-Samani Coefficients on Climate Forcing and Solar PV Technology Selection in West Africa
Peer-reviewed Article
Agbor, Mfongang Erim; University of Calabar
Udo, Sunday O.; University of Calabar
Ewona, Igwe O.
Nwokolo, Samuel Chukwujindu; University of Calabar, Calabar, Nigeria
Ogbulezie, Julie C.; University of Calabar
Amadi, Solomon Okechukwu; Alex Ekwueme Federal University, Ndufu-Alike
Billy, Utibe Akpan; University of Calabar
2023-01-15 19:41:32
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/150
Ångström-Prescott coefficient; Hargreaves-Samani coefficient; Global solar radiation; Solar PV technologies; Climate forcing
none
en
We evaluated and compared the performance of simulated Angström-Prescott (AP) and Hargreaves-Samani (HS) models on monthly and annual timescales using generalized datasets covering the entire West African region. The fitted AP model yielded more efficient parameters of a = 0.366 and b = 0.459, whereas the HS model produced a 0.216 coefficient based on an annual timescale, which is more suitable in the region compared to coefficients recommended by the Food and Agriculture Organization (FAO) (a = 0.25 and b = 0.5) and HS (0.17), respectively. Employing the FAO and HS recommended coefficients will introduce a relative percentage error (RPE) of 18.388% and 27.19% compared to the RPEs of 0.0014% and 0.1036% obtained in this study, respectively. When considering time and resource availability in the absence of ground-measured datasets, the coefficients obtained in this study can be used for predicting global solar radiation within the region. According to the AP and HS coefficients, the polycrystalline module (p-Si) is more reliable than the monocrystalline module (m-Si) because the p-Si module has a higher tendency to withstand the high temperatures projected to affect the region due to its higher intrinsic properties based on the AP and HS coefficients assessment in the region.Citation: Agbor, M. E., Udo, S. O., Ewona, I. O., Nwokolo, S. C., Ogbulezie, J. C., Amadi, S. O., and Billy, U. A. (2023). Effects of Angstrom-Prescott and Hargreaves-Samani Coefficients on Climate Forcing and Solar PV Technology Selection in West Africa. Trends in Renewable Energy, 9, 78-106. DOI: 10.17737/tre.2023.9.1.00150
oai:ojs.futureenergysp.com:article/37
2018-03-29T16:03:41Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/37
2018-03-29T16:03:41Z
Trends in Renewable Energy
Vol 3 (2017): SPECIAL ISSUE ON SMART GRID (2); 26-61
Main Line Fault Localization Methodology in Smart Grid – Part 2: Extended TM2 Method, Measurement Differences and L1 Piecewise Monotonic Data Approximation for the Overhead Medium-Voltage Broadband over Power Lines Networks Case
Peer-reviewed Article
Lazaropoulos, Athanasios G.; National Technical University of Athens / School of Electrical and Computer Engineering
2017-10-02 21:37:49
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/37
Smart Grid; Intelligent Energy Systems; Broadband over Power Lines (BPL) Networks; Power Line Communications (PLC); Faults; Fault Analysis; Fault Localization; Distribution Power Grids
en
Enriching the fault identification methodology of the first paper, this second paper investigates the performance of the identification of main distribution line faults when broadband over power lines (BPL) networks are deployed. The main issue that is concerned in this paper is the impact of measurement differences on the fault identification process performance.The main contribution of this paper, which is focused on the identification of the main distribution line faults when measurement differences occur, is the application of the L1 piecewise monotonic data approximation (l1PMA) in order to cope with the measurement differences that influence the reflection coefficients derived from the extended TM2 method. Through the L1PMA application, measurement differences are confronted in order to prevent the trigger of a false alarm about the existence of a main distribution line fault. The combined operation of the extended TM2 method and L1PMA concludes the introductory phase (fault identification) of the main line fault localization methodology (MLFLM).
oai:ojs.futureenergysp.com:article/117
2020-05-25T02:45:29Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/117
2020-05-25T02:45:29Z
Trends in Renewable Energy
Vol 6, No 2 (2020); 156-186
Business Analytics and IT in Smart Grid – Part 1: The Impact of Measurement Differences on the iSHM Class Map Footprints of Overhead Low-Voltage Broadband over Power Lines Topologies
Peer-reviewed Article
Lazaropoulos, Athanasios G.; 1: School of Electrical and Computer Engineering / National Technical University of Athens / 9 Iroon Polytechniou Street / Zografou, GR 15780
2: Department of Inductrial Design and Production Engineering / School of Engineering / University of West Attica / 250 Thivon & P. Ralli / Athens, GR 12244
2020-05-10 12:49:58
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/117
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Distribution and Transmission Power Grids; Capacity; Statistics; Business Analytics; IT; Modeling
en
Due to the smart grid (SG) operation, the power utilities are dealing with a cataclysm of big data that demands advanced information technology (IT) infrastructure and business analytics while one cause of this growth is the nature of the power grid operation that demands real-time measurements. In [1], [2], the theoretical framework and the numerical results for the interoperability of Deterministic Hybrid Model (DHM), initial Statistical Hybrid Model (iSHM), the definition procedure and the class maps have been presented for the overhead low-voltage broadband over power lines (OV LV BPL) networks as well as the iSHM footprints. On the basis of the five real indicative OV LV BPL topologies of [1], [2], the impact of measurement differences that follow either continuous uniform distributions (CUDs) or normal distributions (NDs) of different intensities is first highlighted on iSHM footprints.Citation: Lazaropoulos, A. G. (2020). Business Analytics and IT in Smart Grid – Part 1: The Impact of Measurement Differences on the iSHM Class Map Footprints of Overhead Low-Voltage Broadband over Power Lines Topologies. Trends in Renewable Energy, 6, 146-176. DOI: 10.17737/tre.2020.6.2.00117
oai:ojs.futureenergysp.com:article/86
2019-01-02T01:22:23Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/86
2019-01-02T01:22:23Z
Trends in Renewable Energy
Vol 5, No 1 (2019); 47-59
Theoretical Design of Energy Generating Gymnasium Pull-down Machine for Green, Renewable and Sustainable Energy Production
Peer-reviewed Article
Saeed, Musharraf; University of Sargodha, Pakistan
Saleem, Ifrah; University of Lahore
Iqbal, Farhat; University of Sargodha, Pakistan
2018-12-24 10:41:53
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/86
EGGS; EGGM; Gymnasium; Renewable energy; Cable and pulley; Pull-down machine; Micro grid
en
New technologies are being invented and energy demand is increasing. Growth of population has always been and will remain one of the major causes of energy demand. Science is therefore looking for new major and minor energy resources to keep world in progress. The main focus of energy engineering and technology in the field of energy generation is to harvest energy by any mean from any source. A theoretical research is introduced in this paper which will contribute its reasonable share in the field of renewable and green energy sector. This energy generating system is named as energy generating gymnasium system (EGGS). The core idea behind this energy harvesting system is that, the human being is also a source of renewable energy and it is possible to harness electrical energy from people by the use of EGGS. Human energy is wasted when excessive calories of body are burnt during exercise in gymnasiums to achieve the desired fitness. EGGS will provide an opportunity to return expended energy in the form of electrical energy from gymnasium equipment and cardiovascular machines. This electrical energy will be cheap and also green since it will not emit any carbon dioxide (CO2) gas during the process. This system can increase the potential of renewable energy area and the electrical energy generated from EGGS can be sold back to the national utility via micro grids (MG). The proposed system will be very beneficial for such countries that are facing energy crises as well as the third world countries. Authors have discussed a gymnasium machine named as “Pull-down machine†and proposed a theoretical modification to make it as an energy generating gymnasium machine (EGGM) in the presented research.Citation: Saeed, M., Saleem, I., and Iqbal, F. (2019). Theoretical Design of Energy Generating Gymnasium Pull-down Machine for Green, Renewable and Sustainable Energy Production. Trends in Renewable Energy, 5, 47-59. DOI: 10.17737/tre.2019.5.1.0086Â
oai:ojs.futureenergysp.com:article/134
2022-03-23T02:45:43Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/134
2022-03-23T02:45:43Z
Trends in Renewable Energy
Vol 8, No 1 (2022); 1-26
Modeling and Performance Investigations of Partially Shaded Solar PV Arrays with Cell Partition Technique based Modules
Peer-reviewed Article
BALARAJU, V; SV University, Tirupati, Andhrapradesh,India
Chengaiah, Ch.
2021-11-25 16:07:40
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/134
Solar PV module; Full cell; Half cell; Tri cell; Array configurations; Static reconfigurations; Cell level shading conditions; Mismatch power losses
en
Solar photovoltaic (PV) modules consist of solar cells connected in series to provide the required output power. The solar PV system is experiencing major challenges, which are mainly due to the partial shadows on the photovoltaic modules leading to mismatching power loss and hot spot problems. Hotspots have become a major cause of PV module failure. The Cell Partition Technique (CPT) is proposed to reduce hotspots and minimize mismatch losses caused by partial shadings. Specifically, each solar PV cell (Full cell) in a solar PV module is divided or partitioned into two half cells (known as Half-Cut Cells or HC) and three equal cells (known as Tri-Cut Cells or TC) in accordance with the proposed technique. The HC and TC types of cells are connected in a strings of series-parallel connection, and bypass diode is placed in middle of the solar PV module to ensure proper operation. The primary aim of this research is to model, evaluate, and investigate the performance of solar PV arrays using new PV modules are developed based on Cell Partition Technique (PVM-CPT), such as half-cut cell modules (HCM), and tri-cut cell modules (TCM) and compared with full-sized cell modules (FCM). These PVM-CPT are connected in Series–Parallel (SP), Total-Cross-Tied (TCT), and proposed static shade dispersion based TCT reconfiguration (SD-TCTR) for the array sizes of 3x4, 4x3 and 4x4, respectively. The purpose is to select the most appropriate solar PV array configurations in terms of the highest global maximum power and thus the lowest mismatch power losses under short and narrow, short and wide, long and narrow, long and wide type of cell level partial shadings. The Matlab/Simulink software is used to simulate and analyze all of the shading cases. The results show that, when compared to conventional module configurations under different shading conditions, the proposed static SD-TCTR arrangement with TC modules (SDTCTR-TCM) exhibits the lowest mismatch power losses and the greatest improvement in array power. Corrigendum to "Modeling and Performance Investigations of Partially Shaded Solar PV Arrays with Cell Partition Technique based Modules" is published on 01/12/2022. Citation: BALARAJU, V., and Chengaiah, C. (2022). Modeling and Performance Investigations of Partially Shaded Solar PV Arrays with Cell Partition Technique based Modules. Trends in Renewable Energy, 8, 1-26. DOI: 10.17737/tre.2022.8.1.00134
oai:ojs.futureenergysp.com:article/29
2017-02-07T04:01:52Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/29
2017-02-07T04:01:52Z
Trends in Renewable Energy
Vol 3, No 1 (2017); 2-32
Power Systems Stability through Piecewise Monotonic Data Approximations – Part 1: Comparative Benchmarking of L1PMA, L2WPMA and L2CXCV in Overhead Medium-Voltage Broadband over Power Lines Networks
Peer-reviewed Article
Lazaropoulos, Athanasios G.
2017-01-01 07:29:04
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/29
Smart Grid; Intelligent Energy Systems; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Faults; Fault Analysis; Fault Identification and Prediction; Power System Stability; Distribution Power Grids
en
This first paper assesses the performance of three well-known piecewise monotonic data approximations (i.e., L1PMA, L2WPMA, and L2CXCV) during the mitigation of measurement differences in the overhead medium-voltage broadband over power lines (OV MV BPL) transfer functions.The contribution of this paper is triple. First, based on the inherent piecewise monotonicity of OV MV BPL transfer functions, L2WPMA and L2CXCV are outlined and applied during the determination of theoretical and measured OV MVBPL transfer functions. Second, L1PMA, L2WPMA, and L2CXCV are comparatively benchmarked by using the performance metrics of the percent error sum (PES) and fault PES. PES and fault PES assess the efficiency and accuracy of the three piecewise monotonic data approximations during the determination of transmission BPL transfer functions. Third, the performance of L1PMA, L2WPMA, and L2CXCV is assessed with respect to the nature of faults —i.e. faults that follow either continuous uniform distribution (CUD) or normal distribution (ND) of different magnitudes—.The goal of this set of two papers is the establishment of a more effective identification and restoration of the measurement differences during the OV MV BPL coupling transfer function determination that may significantly help towards a more stable and self-healing power system.Citation: Lazaropoulos, A. G. (2017). Power Systems Stability through Piecewise Monotonic Data Approximations – Part 1: Comparative Benchmarking of L1PMA, L2WPMA and L2CXCV in Overhead Medium-Voltage Broadband over Power Lines Networks. Trends in Renewable Energy, 3(1), 2-32. DOI: 10.17737/tre.2017.3.1.0029
oai:ojs.futureenergysp.com:article/108
2020-03-28T04:02:39Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/108
2020-03-28T04:02:39Z
Trends in Renewable Energy
Vol 6, No 1 (2020); 1-11
Double Carbon Coated LiCoPO4 Nano Composite as High-Performance Cathode for Lithium Ion Batteries
Peer-reviewed Article
Yu, Yong
Zhao, Huifang
Chen, Yao
Feng, Zeng-kai; Foshan Branch, Beijing Landmark Engineering Co., Ltd., Foshan, Guangdong
Liu, Xiaomin; Prof., College of Materials Science and Engineering, Nanjing Tech University
Yang, Hui; Prof., College of Materials Science and Engineering, Nanjing Tech University
2020-01-02 10:42:07
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/108
Double carbon coated LiCoPO4 nano composite; High-performance cathode; Lithium ion battery
Natural Science Foundation of China
en
Polyacene(PAS)/carbon and acetylene black(AB)/carbon coated lithium cobalt phosphate composites were synthesized via the solid state reaction method using co-precipitated Co3(PO4)2·8H2O and Li3PO4 mixture as its precursor. X-ray powder diffraction (XRD) was performed to investigate the structure and phase of all the samples. The transmission electron microscopy (TEM) shows that the double carbon layers coated on the surface of LiCoPO4 successfully. The LiCoPO4/C, LiCoPO4/PAS and LiCoPO4/AB delivered a capacity of T 120.92, 121.07 and 138.06 mAh×g-1 at 0.1C, respectively. The double carbon coated LiCoPO4 electrode delivered an initial discharge capacity of 147.12, 143.51 mAh×g-1 after AB/glucose, PAS/glucose coating, which maintained at 59.5% and 61.7% after 15 cycles at the 0.1C rate, respectively.Citiation: Yu, Y., Zhao, H., Chen, Y., Feng, Z.-k., Liu, X., and Yang, H. (2020). Double Carbon Coated LiCoPO4 Nano Composite as High-Performance Cathode for Lithium Ion Batteries. Trends in Renewable Energy, 6, 1-11. DOI: 10.17737/tre.2020.6.1.00108
oai:ojs.futureenergysp.com:article/166
2024-03-09T01:48:30Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/166
2024-03-09T01:48:30Z
Trends in Renewable Energy
Vol 10, No 1 (2024); 98-131
Africa's Path to Sustainability: Harnessing Technology, Policy, and Collaboration
Peer-reviewed Article
Nwokolo, Samuel Chukwujindu; University of Calabar
Eyime, Eyime Echeng; University of Calabar
Obiwulu, Anthony Umunnakwe; University of Lagos
Ogbulezie, Julie C.; University of Calabar
2023-12-06 04:49:15
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/166
Sustainability; Innovation; Renewable Energy; Digital Transformation; African Context; Technological Barriers
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This paper explores the significant role of technological advancements, strategic policies, and collaborations in driving Africa towards a more sustainable future. It highlights how the continent's increasing adoption of innovative technologies, such as renewable energy solutions and digital infrastructure, coupled with well-crafted strategic policies and international collaborations, is transforming various sectors and fostering a sustainable future. These advancements have not only improved access to basic services like healthcare and education but have also created new opportunities for economic growth and job creation. The paper emphasizes the importance of ongoing collaborations between African countries and international partners in sharing knowledge, expertise, and resources to accelerate sustainable development efforts across the continent. The paper discusses different international organizations that have collaborated with and assisted Africa in the areas of technical innovation, finance, and knowledge exchange necessary to achieve a full-scale sustainable future. Despite their humanitarian efforts, Africa faces tremendous hurdles in attaining a sustainable future. These challenges range from a lack of access to technology and digital infrastructure in rural areas to difficulties in harnessing technological advancements due to infrastructure and connectivity constraints. These challenges have hindered Africa's ability to fully leverage the potential of technical innovation and digital solutions for a sustainable future. Limited financial resources and investment opportunities have further impeded progress in achieving the necessary infrastructure and connectivity upgrades. The continent is vulnerable to the impacts of climate change, which further hinders its development progress. Therefore, it is crucial for ongoing collaborations between African countries and international partners to address these challenges collectively and work towards long-term solutions for a sustainable future in Africa.Citation: Nwokolo, S., Eyime, E., Obiwulu, A., & Ogbulezie, J. (2023). Africa's Path to Sustainability: Harnessing Technology, Policy, and Collaboration. Trends in Renewable Energy, 10(1), 98-131. doi:http://dx.doi.org/10.17737/tre.2024.10.1.00166
oai:ojs.futureenergysp.com:article/68
2018-10-05T21:19:46Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/68
2018-10-05T21:19:46Z
Trends in Renewable Energy
Vol 4, No 2 (2018); 111-124
Reconfiguration technique for Optimization of the Photovoltaic array output power under partial shading conditions
Peer-reviewed Article
Mohamed, Ahmed M; Ain shams university
Saafan, Salah M
Attalla, Ahmed M
Elgohary, Hamdy
2018-06-05 15:07:23
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/68
Photovoltaic Array; Partial shading; Reconfiguration; MATLAB Simulink; Optimization
en
A partial shading condition is a case under which the PV array is exposed to many problems such as losses of the output power of the PV array, and the PV array has more than one maximum power point (MPP), which makes it so difficult to track the MPP. This paper presents the effect of different partial shading patterns on PV array characteristics and the effect on the output power of the PV array, and provides a comparative literature review on methods to mitigate these effects and the drawbacks of these methods. It also proposed a new reconfiguration strategy that increases the output power of the PV array by 13.8 % from the total power under shadow condition, and a new technique for enhancing the output power of the PV array by 20 % of the total power under fully illumining conditions by controlling the switch matrix between the photovoltaic array and adaptive batteries bank. This paper gives a solution for the problem of the difficulty of tracking the MPP, because the proposed strategy makes only one MPP. The simulation was carried out by using MATLAB Simulink under different shading patterns.Citation:Â Mohamed, A. M., Saafan, S. M., Attalla, A. M., and Elgohary, H. (2018). Reconfiguration technique for Optimization of the Photovoltaic array output power under partial shading conditions. Trends in Renewable Energy, 4, 111-124. DOI: 10.17737/tre.2018.4.2.0068
oai:ojs.futureenergysp.com:article/129
2022-03-11T02:33:27Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/129
2022-03-11T02:33:27Z
Trends in Renewable Energy
Vol 7 (2021); 24-52
Life Cycle Assessment of A Hydrocarbon-based Electrified Cleaning Agent
Peer-reviewed Article
Liu, Peng
Zhang, Bo
Yang, Changyan
Gong, Yu
Qu, Yinhang
Li, Jiayi
Yang, Bohan
Ding, Yigang
2021-05-03 08:41:51
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/129
D40 solvent oil; Tetrachloroethylene; Global warming potential (GWP), Acidification potential (AP); Eutrophication potential (EP); Photochemical ozone formation potential (POFP); Ecotoxicity (ET)
en
The electrified cleaning agent requires a moderate volatilization rate, low ozone-depleting substances value, non-flammable, non-explosive and other characteristics. This study performed a whole life cycle assessment on a hydrocarbon-based electrified cleaning agent. The life cycle model is cradle-to-grave, and the background data sets include power grid, transportation, high-density polyethylene, chemicals, etc. The analysis shows that the global warming potential (GWP) of the life cycle of 1 kg of electrified cleaning agent is 2.08 kg CO2 eq, acidification potential (AP) is 9.49E-03 kg SO2 eq, eutrophication potential (EP) is 1.18E-03 kg PO43-eq, respirable inorganic matter (RI) is 2.13E- 03 kg PM2.5 eq, ozone depletion potential (ODP) is 4.91E-05 kg CFC-11 eq, photochemical ozone formation potential (POFP) is 2.89E-02 kg NMVOC eq, ionizing radiation-human health potential (IRP) is 3.16E-02 kg U235 eq, ecotoxicity (ET) is 2.69E-01 CTUe, human toxicity-carcinogenic (HT-cancer) is 4.32E-08 CTUh, and human toxicity-non-carcinogenic (HT-non cancer) is 2.31E-07 CTUh. The uncertainty of the results is between 3.46-9.95%.The four processes of tetrachloroethylene production, D40 solvent oil production, tetrachloroethylene environmental discharge during product use, and electricity usage during product disposal have substantial effects on each LCA indicator, so they are the focus of process improvement. Changes in power consumption during production and transportation distance of raw materials have little effect on total carbon emissions. Compared with the production process of single-solvent electrified cleaning agent tetrachloroethylene and n-bromopropane, the production of the electrified cleaning agent developed in this study has its own advantages in terms of carbon footprint and other environmental impact indicators. Carbon emissions mainly come from the power consumption of each process, natural gas production and combustion, and other energy materials for heating. It is recommended to use renewable raw materials instead of crude oil to obtain carbon credits based on geographical advantages, and try to use production processes with lower carbon emissions, while the exhaust gas from the traditional production process is strictly absorbed and purified before being discharged.
oai:ojs.futureenergysp.com:article/14
2017-01-20T22:43:44Z
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http://futureenergysp.com/index.php/tre/article/view/14
2017-01-20T22:43:44Z
Trends in Renewable Energy
Vol 1, No 3 (2015); 131-184
Financially Stimulating Local Economies by Exploiting Communities’ Microgrids: Power Trading and Hybrid Techno-Economic (HTE) Model
Peer-reviewed Article
Lazaropoulos, Athanasios G.; School of Electrical and Computer Engineering
National Technical University of Athens
9 Iroon Polytechniou Street, Zografou
Athens, Greece 15780
Lazaropoulos, Panagiotis; Department of Accounting and Finance
Athens University of Economics and Business
76 Patission Avenue, Athens
Athens, Greece 10434
2015-09-10 08:35:38
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/14
Microgrids (MGs); Power Trading; Energy Arbitrage; Energy Storage Systems (ESSs); Distributed Generation (DG) sources; Renewable Energy Sources (RESs); Green Economy; Sustainable Development and Growth; Economy of Local Communities; Smart Grid
en
This paper thoroughly considers the potential of installing microgrids (MGs) in communities that suffer from the economic crisis in order to financially stimulate their local economies. Exploiting the state-of-the-art evolutions in the fields of the MG technology, the Hybrid Techno-Economic (HTE) model is proposed as a suitable techno-economic tool for assessing the power generation/consumption behaviour and the financial performance of these communities’ MGs.The contribution of this paper is four-fold. First, the HTE model is presented. HTE model describes a theoretical analysis that is suitable for studying community’s MGs. Appropriately concatenating one well-validated technical module and one new economic module, the HTE model quickly and conveniently reveals the power generation/consumption and economic profile of community’s MGs. Second, HTE model is integrated through an extended portfolio of power and financial metrics. The applied metrics study the influence of generation and consumption power changes on community’s MGs. The validity and the efficiency of the HTE model are examined with respect to these power changes while the impact of these changes on the power and cash flows of community’s MGs are assessed. Third, a cost-benefit analysis of the operation of community’s MGs accompanied with a financial stability analysis is also demonstrated. The main outcome of these analyses is the daily total benefit (TB) of community’s MGs with its respective financial bounds. Fourth, the contribution of the energy arbitrage and the power production mix among available power sources of community’s MGs to the daily TB is investigated.Apart from promoting the ecological awareness, this paper tries to become a catching argument for the communities in order to exploit the community’s MGs.Citation: Lazaropoulos, A. G., and Lazaropoulos, P. (2015). Financially Stimulating Local Economies by Exploiting Communities’ Microgrids: Power Trading and Hybrid Techno-Economic (HTE) Model. Trends in Renewable Energy, 1(3), 131-184. DOI: 10.17737/tre.2015.1.3.0014
oai:ojs.futureenergysp.com:article/97
2020-04-11T03:53:19Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/97
2020-04-11T03:53:19Z
Trends in Renewable Energy
Vol 5, No 2 (2019); 218-228
Catalytic Pyrolysis of Kapok Fiber for Production of Olefins
Peer-reviewed Article
Qiu, Qi; College of Chemistry and Environmental EngineeringShenzhen University
Cai, Yingen
Ye, Qiuling
Lv, Weizhong; Shenzhen University
2019-07-14 12:01:11
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/97
Kapok fibers; GCMS; Pyrolysis; MCM-41; Zr-MCM-41; Olefin
Natural Science Foundation of Guangdong Province; Shenzhen University
en
Pyrolysis of kapok fibers over mesoporous molecular sieves of MCM-41, Zr-MCM-41 and Cr-MCM-41 (the mole ratio of Si:Zr or Si/Cr=50) was studied by using pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS). Pure silicon MCM-41 showed weak acidity during pyrolysis with furfural as the main product. Zr-MCM-41 showed the dual-functionality of acid and base with both furfural and hydroxy acetone present in the products. Cr-MCM-41 was more acidic with more furfural produced. The optimal conditions for producing olefins were found to be 600°C and the ratio of kapok fiber to catalyst being 1:10 with the Zr-MCM-41 catalyst. The main products obtained via pyrolysis of kapok fiber were acetic acid, furfural, 2,4-di-tert-butylphenol, olefins, and alkanes. The excess of the catalyst and the high temperature of the reaction had certain effects on the pyrolysis of biomass to produce olefins, such as 1-decene, 1-dodecene, 1-undecene, 1-tridecene and heptadecane. Citation: Qiu, Q., Cai, Y., Ye, Q., and Lv, W. (2019). Catalytic Pyrolysis of Kapok Fiber for Production of Olefins. Trends in Renewable Energy, 5, 218-228. DOI: 10.17737/tre.2019.5.2.0097
oai:ojs.futureenergysp.com:article/156
2023-10-26T00:45:09Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/156
2023-10-26T00:45:09Z
Trends in Renewable Energy
Vol 9, No 2 (2023); 120-136
Assessing the Impact of Soiling, Tilt Angle, and Solar Radiation on the Performance of Solar PV Systems
Peer-reviewed Article
Nwokolo, Samuel Chukwujindu; University of Calabar, Calabar, Nigeria
Obiwulu, Anthony Umunnakwe
Amadi, Solomon Okechukwu
Ogbulezie, Julie C
2023-03-21 18:17:46
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/156
Global tilted irradiance; global horizontal irradiance; soiling; optimum tilt angle; maximum incident solar radiation
en
This research examined the observed datasets and a theoretically derived model for estimating yearly optimum tilt angle (β), maximum incident solar radiation (Hmax), clean gain indicator (CGI), and soiling loss indicator (SLI) at Mumbwa, Zambia, the Mediterranean Region, and low latitude locations across the globe. The cleaned tilted collector emerged as the best performing collector due to Hmax and much higher energy gains compared with the soiled collector. CGI showed an appreciable performance of 0.4737% over -0.4708% on the SLI, indicating that soiling on the surface of photovoltaic (PV) modules significantly depreciates the overall performance of PV modules. Two established empirical models obtained from the literature were compared with the established theoretical model (β=φ). The result revealed that the two models overestimated the observed annual optimum tilt angle in this paper, simply because the models were developed with high latitude location datasets from the Asia continent. However, the newly established monthly and yearly global radiation indicator (GRI) models by the authors in their previous paper performed excellently in the selected representative cities in the Mediterranean region.Citation: Nwokolo, S., Obiwulu, A., Amadi, S., & Ogbulezie, J. (2023). Assessing the Impact of Soiling, Tilt Angle, and Solar Radiation on the Performance of Solar PV Systems. Trends in Renewable Energy, 9(2), 120-136. doi:http://dx.doi.org/10.17737/tre.2023.9.2.00156
oai:ojs.futureenergysp.com:article/38
2018-03-29T16:03:05Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/38
2018-03-29T16:03:05Z
Trends in Renewable Energy
Vol 3 (2017): SPECIAL ISSUE ON SMART GRID (2); 62-81
Main Line Fault Localization Methodology in Smart Grid – Part 3: Main Line Fault Localization Methodology (MLFLM)
Peer-reviewed Article
Lazaropoulos, Athanasios G.; National Technical University of Athens / School of Electrical and Computer Engineering
2017-10-06 22:17:39
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/38
Smart Grid; Intelligent Energy Systems; Broadband over Power Lines (BPL) Networks; Power Line Communications (PLC); Faults; Fault Analysis; Fault Localization; Distribution Power Grids
en
Since the main distribution line faults can be securely identified as outlined in the first and second paper, this third paper presents the methodology of localizing the main distribution line fault when broadband over power lines (BPL) networks have already been deployed across the distribution power grids. The main issue of this paper is the detailed presentation of the main line localization methodology (MLFLM) as well as well as its performance assessment when measurement differences occur.The contribution of this paper, which is focused on the application of MLFLM, is double. First, the procedure, which is followed in order to create the database of faults and is used by MLFLM, is here analytically presented. This database is based on the application of the main distribution line fault identification percentage metric (MDLFI) to coupling reflection coefficients of all possible fault OV MV BPL topologies (modified OV MV BPL topologies). Second, the performance assessment of MLFLM is investigated with respect to the nature of the measurement differences and the location of main distribution line faults across the distribution power grid.
oai:ojs.futureenergysp.com:article/118
2020-05-25T02:45:29Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/118
2020-05-25T02:45:29Z
Trends in Renewable Energy
Vol 6, No 2 (2020); 187-213
Business Analytics and IT in Smart Grid – Part 2: The Qualitative Mitigation Impact of Piecewise Monotonic Data Approximations on the iSHM Class Map Footprints of Overhead Low-Voltage Broadband over Power Lines Topologies Contaminated by Measurement Differences
Peer-reviewed Article
Lazaropoulos, Athanasios G.; 1: School of Electrical and Computer Engineering / National Technical University of Athens / 9 Iroon Polytechniou Street / Zografou, GR 15780
2: Department of Inductrial Design and Production Engineering / School of Engineering / University of West Attica / 250 Thivon & P. Ralli / Athens, GR 12244
2020-05-12 23:06:47
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/118
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Distribution and Transmission Power Grids; Capacity; Statistics; Business Analytics; IT; Modeling
en
Business analytics and IT infrastructure preserve the integrity of the smart grid (SG) operation against the flood of big data that may be susceptible to faults, such as measurement differences. In [1], the impact of measurement differences that follow continuous uniform distributions (CUDs) of different magnitudes has been investigated via initial Statistical Hybrid Model (iSHM) footprints during the operation of overhead low-voltage broadband over power lines (OV LV BPL) networks. In this companion paper, the mitigation efficiency of piecewise monotonic data approximations, such as L1PMA and L2WPMA, is qualitatively assessed in terms of iSHM footprints when the aforementioned measurement difference CUD of different intensities are applied.Citation: Lazaropoulos, A. G. (2020). Business Analytics and IT in Smart Grid – Part 2: The Qualitative Mitigation Impact of Piecewise Monotonic Data Approximations on the iSHM Class Map Footprints of Overhead Low-Voltage Broadband over Power Lines Topologies Contaminated by Measurement Differences. Trends in Renewable Energy, 6, 177-203. DOI: 10.17737/tre.2020.6.2.00118
oai:ojs.futureenergysp.com:article/82
2019-01-02T01:22:23Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/82
2019-01-02T01:22:23Z
Trends in Renewable Energy
Vol 5, No 1 (2019); 60-89
Special Cases during the Detection of the Hook Style Energy Theft in Overhead Low-Voltage Power Grids through HS-DET Method – Part 1: High Measurement Differences, Very Long Hook Technique and “Smart†Hooks
Peer-reviewed Article
Lazaropoulos, Athanasios G.; National Technical University of Athens / School of Electrical and Computer Engineering
2018-12-26 07:56:46
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/82
Smart Grid; Broadband over Power Lines (BPL); Power Line Communications (PLC); Distribution Power Grid; Energy Theft; Jamming; Robustness
en
On the basis of [1], this pair of companion papers investigates the possibility of jamming the method of the detection of the hook style energy theft (HS-DET method) that can be used for the detection of the hook style energy theft in the overhead low-voltage (OV LV) power grids. The three main suspicious issues that have been identified in [1] are further investigated in this paper. The robustness of the HS-DET method against these issues is assessed by using percent error sum (PES) submetrics, appropriate contour plots and a new proposed robustness PES submetric against the hook style energy theft of HS-DET method.Citation: Lazaropoulos, A. G. (2019). Special Cases during the Detection of the Hook Style Energy Theft in Overhead Low-Voltage Power Grids through HS-DET Method – Part 1: High Measurement Differences, Very Long Hook Technique and “Smart†Hooks. Trends in Renewable Energy, 5, 60-89. DOI: 10.17737/tre.2019.5.1.0082
oai:ojs.futureenergysp.com:article/135
2022-03-23T02:45:43Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/135
2022-03-23T02:45:43Z
Trends in Renewable Energy
Vol 8, No 1 (2022); 27-37
Study of hydrogen internal combustion engine vehicles based on the whole life cycle evaluation method
Peer-reviewed Article
Guo, Ping; School of Mechanical Engineering, North China University of Water Resources and Electric Power
Xu, Jianlun
Zhao, Chuanhao
Zhang, Baoliang
2022-01-29 08:23:33
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/135
Whole Life Cycle; Hydrogen Fuel Internal Combustion Engine; Emission; Economy
ZHONGYUAN Thousand Talent Program
en
In order to better achieve the goal of low carbon emissions from vehicles, a whole life cycle assessment of hydrogen-fueled internal combustion engine vehicles has been conducted in recent years. Based on the study of hydrogen use around the world, we studied the emission and economic performance of hydrogen-fueled internal combustion engine vehicles from the beginning of hydrogen production to the end of use (Well-to-Wheel, WTW) based on the whole life cycle evaluation method. The results show that the overall environmental impact of hydrogen production by steam reforming of natural gas is the smallest, and that the rational use of "abandoned electricity" for hydrogen production from electrolytic water in the western part of China significantly reduces the overall environmental impact and the cost of hydrogen production. In the use phase, the emissions are less, which not only can meet the National 6 emission standard, but also can reach higher emission standard after adding exhaust gas recirculation (EGR). From the whole life cycle point of view, hydrogen-fueled internal combustion engine has a very good development prospect.Citation: Guo, P., Xu, J., Zhao, C., and Zhang, B. (2022). Study of hydrogen internal combustion engine vehicles based on the whole life cycle evaluation method. Trends in Renewable Energy, 8, 27-37. DOI: 10.17737/tre.2022.8.1.00135
oai:ojs.futureenergysp.com:article/30
2017-02-07T04:01:52Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/30
2017-02-07T04:01:52Z
Trends in Renewable Energy
Vol 3, No 1 (2017); 33-60
Power Systems Stability through Piecewise Monotonic Data Approximations – Part 2: Adaptive Number of Monotonic Sections and Performance of L1PMA, L2WPMA, and L2CXCV in Overhead Medium-Voltage Broadband over Power Lines Networks
Peer-reviewed Article
Lazaropoulos, Athanasios G.
2017-01-01 07:29:04
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/30
Smart Grid; Intelligent Energy Systems; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Faults; Power System Stability; Fault Analysis; Fault Identification and Prediction; Distribution Power Grids
en
This second paper investigates the role of the number of monotonic sections during the mitigation of measurement differences in overhead medium-voltage broadband over power lines (OV MV BPL) transfer functions. The performance of two well-known piecewise monotonic data approximations that are based on the number of monotonic sections (i.e., L1PMA and L2WPMA) is assessed in comparison with the occurred measurement differences and L2CXCV, which is a piecewise monotonic data approximation without considering monotonic sections.The contribution of this paper is double. First, further examination regarding the definition of the optimal number of monotonic section is made so that the accuracy of L1PMA can be significantly enhanced. In fact, the goal is to render piecewise monotonic data approximations that are based on the optimal number of monotonic sections as the leading approximation against the other ones without monotonic sections. Second, a generic framework concerning the definition of an adaptive number of monotonic sections is proposed for given OV MV BPL topology.Citation: Lazaropoulos, A. G. (2017). Power Systems Stability through Piecewise Monotonic Data Approximations – Part 2: Adaptive Number of Monotonic Sections and Performance of L1PMA, L2WPMA, and L2CXCV in Overhead Medium-Voltage Broadband over Power Lines Networks. Trends in Renewable Energy, 3(1), 33-60. DOI: 10.17737/tre.2017.3.1.0030
oai:ojs.futureenergysp.com:article/111
2020-03-28T04:02:39Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/111
2020-03-28T04:02:39Z
Trends in Renewable Energy
Vol 6, No 1 (2020); 37-60
A Comprehensive Study on Re-arrangement of Modules Based TCT Configurations of Partial Shaded PV Array with Shade Dispersion Method
Peer-reviewed Article
BALARAJU, V; SV University, Tirupati, Andhrapradesh
Chengaiah, Ch.
2020-02-12 00:00:00
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/111
Photovoltaic cells and modules; Array output power; Interconnections; Mismatch power losses; Fill-factor; Efficiency; Partial shading
en
The conventional Total-Cross-Tied (TCT) Solar photovoltaic (SPV) array configuration has the highest power output as compared to other configurations or topologies in most cases of partial shading. But the performance of TCT configuration is affected under shading conditions, resulting in multiple peaks occurring in the output PV characteristics. To improve the performance of TCT array configuration under different shading scenarios, it is only necessary to reposition or rearrange the PV modules in the TCT Solar PV array based on the arrangement of puzzle numbers, without altering the electrical contacts of the TCT array configuration. The main objective of this study is to investigate the performance of rearrangement of modules in SPV array based new TCT array configurations with shade dispersion technique and compare the global maximum peak power (GMPP) of SPV array, mismatch losses, Fill-Factor, efficiency and number of required electrical connections or ties between array modules with proposed optimal arrangement of modules under shading (non-uniform irradiance) conditions. For this study, one uniform irradiance case and total 14 partial shading patterns were considered. MATLAB/Simulink software was used for modeling and simulation of 6×6 size different rearrangement based TCT array and proposed optimal SPV array configurations.Citation: BALARAJU, V., and Chengaiah, C. (2020). A Comprehensive Study on Re-arrangement of Modules Based TCT Configurations of Partial Shaded PV Array with Shade Dispersion Method. Trends in Renewable Energy, 6, 37-60. DOI: 10.17737/tre.2020.6.1.00111
oai:ojs.futureenergysp.com:article/169
2024-03-09T01:48:30Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/169
2024-03-09T01:48:30Z
Trends in Renewable Energy
Vol 10, No 1 (2024); 132-158
Assessment of Temporal Trend in Surface Air Temperatures across Some Selected Eco-Climatic Zones in Nigeria
Peer-reviewed Article
KING, L.E.; Dept. of Physics, University of Calabar
Udo, S.O.
Ewona, I.O.
Amadi, S.O.
Ebong, E.D.
Umoh, M.D.
2024-02-27 20:21:37
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/169
Trend; Temporal, Maximum temperature; Minimum temperature; Radiative forcing; Nigeria
en
Temporal trends in surface air temperatures across some selected eco-climatic zones in Nigeria from 1981 to 2018 were assessed using the Merra-2 reanalysis dataset. A total of 15 stations spread across the eco-climatic zones in Nigeria were used for this study. The Mann-Kendall (M-K) trend test was used to detect direction, significance, coefficients of time trends, while the linear regression and the Sen’s slope trend tests were used to estimate the trend magnitudes. The M-K trend test showed that the surface air maximum temperature of 14 stations had monotonic increasing trends, of which 13 stations were statistically significant at the 0.01 significance level, and 1 station was statistically significant at the 0.05 significance level. However, the M-K trend test also showed that surface air minimum temperature for all the 15 stations (representing 100%), showed monotonic upward trends, statistically significant at the 0.01 significance level. The Sen's slope and linear trend tests showed higher trend magnitudes at most stations, particularly stations in the Guinea-wooded, Sudan and Sahel savannas. The estimated mean trend magnitudes of maximum and minimum air surface temperatures increased by approximately 0.035°C/year and 0.036°C/year, respectively. The estimated mean air surface temperature increased by approximately 0.036°C/year and approximately 1.4°C for Nigeria over the 38-year period. The study then presents a linear trend projection of mean air surface temperature increase in Nigeria of approximately 4.3°C by 2100. This is 0.2°C below maximum levels and within the range of approximately 1.5 to 4.5°C that global air surface temperature is projected to rise by 2100 in the Intergovernmental Panel on Climate Change (IPCC) 2007 report. The M-K and linear trend tests were fully consistent with the standardized time series anomaly plots. Mean annual values of the air surface temperatures showed latitudinal dependence. The manifestation of significant long-term trends at high confidence levels in the air surface temperatures over the period, provides a clear evidence that the climate of Nigeria is witnessing a possible human-induced radiative forcing and a strong tendency for the occurrences of climate-related extreme events and their resulting adverse implications. Citation: KING, L.E., Udo, S.O., Ewona, I.O., Amadi, S.O., Ebong, E.D., & Umoh, M.D. (2024). Assessment of Temporal Trend in Surface Air Temperatures across Some Selected Eco-Climatic Zones in Nigeria. Trends in Renewable Energy, 10, 132-158. doi:http://dx.doi.org/10.17737/tre.2024.10.1.00169
oai:ojs.futureenergysp.com:article/76
2018-10-05T21:19:46Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/76
2018-10-05T21:19:46Z
Trends in Renewable Energy
Vol 4, No 2 (2018); 125-184
Smart Energy and Spectral Efficiency (SE) of Distribution Broadband over Power Lines (BPL) Networks – Part 1: The Impact of Measurement Differences on SE Metrics
Peer-reviewed Article
Lazaropoulos, Athanasios G.
2018-08-21 22:59:41
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/76
Smart Grid; Broadband over Power Lines (BPL); Power Line Communications (PLC); Distribution Power Grid; Spectral Efficiency
en
This paper assesses the impact of measurement differences on the spectral efficiency (SE) of distribution broadband over power lines (BPL) networks when CS2 module is applied. The broadband performance of distribution BPL networks is investigated in the 3-88 MHz frequency range when appropriate injected power spectral density limits (IPSD limits) and uniform additive white Gaussian noise (AWGN) PSD levels from the BPL literature are assumed. The impact of measurement differences on SE of the distribution BPL networks is here assessed through appropriate SE metrics. These SE metrics assessing this impact are detailed in order to act as the benchmark metrics of the countermeasures techniques against measurement differences of the companion paper.Citation: Lazaropoulos, A. G. (2018). Smart Energy and Spectral Efficiency (SE) of Distribution Broadband over Power Lines (BPL) Networks – Part 1: The Impact of Measurement Differences on SE Metrics. Trends in Renewable Energy, 4, 125-184. DOI: 10.17737/tre.2018.4.2.0076
oai:ojs.futureenergysp.com:article/127
2021-11-04T18:25:38Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/127
2021-11-04T18:25:38Z
Trends in Renewable Energy
Vol 7 (2021); 53-72
Pyrolysis-Gas Chromatography/Mass Spectrometry Analysis of Oils from Different Sources
Peer-reviewed Article
Qiu, Qi; College of Chemistry and Environmental EngineeringShenzhen University
Zhang, Yiting
2021-05-23 11:19:54
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/127
Pyrolysis; Gutter oil; GC/MS; Waste oil; Olefins
en
Regenerated gutter oil (i.e., waste oil) accounts for 10% of the edible oil market, which has caused serious food safety issues. Currently, there is no standard protocol for the identification of the gutter oil. In this study, the pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS) method was employed to analyze eleven oil samples including edible vegetable oils (tea oil, corn oil, olive oil, sunflower oil, peanut oil and blend vegetable oil) and waste oils (used frying oil, lard, chicken fat, inferior oil and kitchen waste grease). Three factors of pyrolysis temperature, reaction time and sample volume were investigated to optimize the analytical parameters. The optimal pyrolysis conditions were determined to be 600°C, 1 min and an injection volume of 0.3 μL. Five characteristic components (tetradecane, z,z-9,12-octadecadienoic acid, decanoic acid-2-propenyl ester, 17-octadecenoic acid, and z-9-octadecenoic acid) were found in all oil samples. The existence of C11-C16 olefins in the pyrolytic products of the animal fats and the other low-quality oils could be utilized to distinguish vegetable oils from gutter oils.Â
oai:ojs.futureenergysp.com:article/18
2017-01-20T20:33:39Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/18
2017-01-20T20:33:39Z
Trends in Renewable Energy
Vol 2, No 1 (2016); 2-12
Clavulanic Acid Production by Streptomyces clavuligerus using Solid State Fermentation on Polyurethane Foam
Peer-reviewed Article
Wang, Hui; State Key Lab of Biochemistry, Institute of Process Engineering, Chinese Academy of Sciences, Beijing
Chen, Hongzhang; State Key Lab of Biochemistry, Institute of Process Engineering, Chinese Academy of Sciences, Beijing
2016-01-01 00:00:00
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/18
Inert support; Solid state fermentation; Clavulanic acid; Polyurethane foam
en
Clavulanic acid (CA), a metabolite of Streptomyces clavuligerus, is a potent β-lactamase inhibitor. In this study, polyurethane foam (PUF) was used as inert solid support to produce clavulanic acid by solid state fermentation (SSF). Maximal CA yield of 263 µg/ml was obtained at pH 6.5, incubation temperature 29°C, 10 ml medium per 3 g PUF, 0.015% added glycerol, 2% added lithium chloride (LiCl), and 2 g/L added ornithine. Under the same conditions, the yield of CA produced by SSF on PUF is apparently higher than that by submerged fermentation (SMF). In addition, CA produced by using this method is of higher purity and easier to be extracted. Citation: Wang, H. and Chen, H. (2016). Clavulanic Acid Production by Streptomyces clavuligerus using Solid State Fermentation on Polyurethane Foam. Trends in Renewable Energy, 2(1), 2-12. DOI: 10.17737/tre.2016.2.1.0018
oai:ojs.futureenergysp.com:article/98
2019-12-05T04:28:17Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/98
2019-12-05T04:28:17Z
Trends in Renewable Energy
Vol 5, No 3 (2019); 229-236
IoT Based Smart Solar Flower Water Pump System
Peer-reviewed Article
Band, Bhushan Harihar; PRMCEAM, Badnera
Ingole, A D
2019-07-26 07:48:42
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/98
Solar Flower; Energy Generation; IoT; Water Pump; Motor; Solar Tracker
en
The electric demand of the countries is increasing day by day and the available resources are quite insufficient to fulfill this demand. The reasons are that the conventional energy resources are diminishing and available with finite sources. Due to these reasons, the solar power is one of the promising alternatives that is easily available, pollution free and having higher operating life. The solar system also provides higher operating efficiency for the load, and the cost of the solar panel is minimum. To improve the switching technology used for the power conversion, we presented a smart flower system powered by photovoltaic panels that could supply standalone AC/DC load. In this system, solar panels produce a direct current, which can be converted into AC by the converter and used in home, industrial and agriculture applications. The output of the panels depends on the direction of sun's rays (solar energy), and the solar photovoltaic cell converts the solar energy into useful electrical energy. The aim of this paper is to develop the solar photovoltaic generation system based on a standard power electronics cell for micro industrial, commercial, home as well as agriculture applications. The proposed system is capable to provide protection from wind and rain, thereby the efficiency of the solar panels will increase. The generation of the electricity is more with trackers than stationary counterparts due to direct exposure to sun's rays. This increase can be as much as 25% depending upon the geographic location of the tracking system. The generated output voltage can be used for various purposes, and we used the store energy to run an agriculture water pump by using the internet of things (IoT). Citation: Band, B. H., and Ingole, A. D. (2019). IoT Based Smart Solar Flower Water Pump System. Trends in Renewable Energy, 5, 229-236. DOI: 10.17737/tre.2019.5.3.0098
oai:ojs.futureenergysp.com:article/159
2023-10-26T00:45:09Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/159
2023-10-26T00:45:09Z
Trends in Renewable Energy
Vol 9, No 2 (2023); 157-166
Optimized Lightweight Frame for Intelligent New-energy Vehicles
Peer-reviewed Article
Wu, Peipei
2023-06-02 19:01:34
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/159
Intelligent new-energy vehicle, Vehicle frame; Finite element analysis; Lightweight; Optimization
en
In this paper, a joint optimization method based on multi-objective response surface approximation model and finite element simulation program is proposed to realize the lightweight optimization of new-energy vehicle frames. Under the premise of satisfying the constraints of strength, frequency and vibration, the thickness of different important parts is optimized to achieve the goal of minimizing the quality of intelligent vehicles. In order to obtain the stress distribution of each part and the vibration frequency of the frame, various finite element analyses of the intelligent vehicle frame are analyzed. In order to achieve optimization, this paper adopts the response surface method for multi-objective optimization. Sample data was generated by the central composite design, and the response surface optimization method was used to filter out 5 design variables that had a large impact on the frame. As a result, the weight of the frame was reduced from 25.05 kg to 19.86 kg, a weight reduction of 20.7%, achieving a significant weight reduction effect. This method provides important reference value and guiding significance for the optimization of frame and its lightweight. In this way, the design of the frame can be better optimized to make it lighter, thereby improving the performance of the smart car. At the same time, this method can also be applied to optimization problems in other fields to achieve more efficient and accurate optimization goals. Citation: Wu, P. (2023). Optimized Lightweight Frame for Intelligent New-energy Vehicles. Trends in Renewable Energy, 9(2), 157-166. doi:http://dx.doi.org/10.17737/tre.2023.9.2.00159
oai:ojs.futureenergysp.com:article/43
2017-11-14T19:25:31Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/43
2017-11-14T19:25:31Z
Trends in Renewable Energy
Vol 3, No 2 (2017); 153-159
Energetic and Exergetic Evaluation of Biomass Fired Water Heating System
Peer-reviewed Article
Panwar, N.L.; Assistant Prof., Department of Renewable Energy Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology
Paul, Arjun Sanjay; Department of Renewable Energy Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology
2017-11-04 20:41:01
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/43
Biomass water heater; Exergy efficiency; Thermal efficiency; Rural applications
en
This paper deals with thermal and exergy efficiencies of biomass fired water heating system. Water heating system is extensively suitable to generate hot water in rural areas. The developed water heating system was tested with Desi babul (Acacia nilotica) wood. Thermal and exergy efficiencies of the system were estimated at 54.5 percent and 6.79 percent, respectively.Citation:Â Panwar, N. L., and Paul, A. S. (2017). Energetic and Exergetic Evaluation of Biomass Fired Water Heating System. Trends in Renewable Energy, 3, 153-159. DOI: 10.17737/tre.2017.3.2.0043
oai:ojs.futureenergysp.com:article/119
2020-05-25T02:45:29Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/119
2020-05-25T02:45:29Z
Trends in Renewable Energy
Vol 6, No 2 (2020); 214-233
Business Analytics and IT in Smart Grid – Part 3: New Application Aspect and the Quantitative Mitigation Analysis of Piecewise Monotonic Data Approximations on the iSHM Class Map Footprints of Overhead Low-Voltage Broadband over Power Lines Topologies Contaminated by Measurement Differences
Peer-reviewed Article
Lazaropoulos, Athanasios G.; 1: School of Electrical and Computer Engineering / National Technical University of Athens / 9 Iroon Polytechniou Street / Zografou, GR 15780
2: Department of Inductrial Design and Production Engineering / School of Engineering / University of West Attica / 250 Thivon & P. Ralli / Athens, GR 12244
2020-05-13 23:14:10
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/119
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Distribution and Transmission Power Grids; Capacity; Statistics; Business Analytics; IT; Modeling
en
Βig data that overwhelm smart grid (SG) are susceptible to errors that can further affect business analytics and related human decisions. In [1], the impact of measurement differences that follow various distributions has been examined via initial Statistical Hybrid Model (iSHM) footprints while the mitigation impact of piecewise monotonic data approximations has been qualitatively assessed via corresponding iSHM footprints in [2]. In this companion paper, the potential of applying piecewise monotonic data approximations in the intrinsic procedure of iSHM rather than its inputs and the quantitative mitigation analysis of piecewise monotonic data approximations against measurement differences via iSHM footprints are proposed for the overhead low-voltage broadband over power lines (OV LV BPL) topologies.Citation: Lazaropoulos, A. G. (2020). Business Analytics and IT in Smart Grid – Part 3: New Application Aspect and the Quantitative Mitigation Analysis of Piecewise Monotonic Data Approximations on the iSHM Class Map Footprints of Overhead Low-Voltage Broadband over Power Lines Topologies Contaminated by Measurement Differences. Trends in Renewable Energy, 6, 214-233. DOI: 10.17737/tre.2020.6.2.00119
oai:ojs.futureenergysp.com:article/83
2019-01-02T01:22:23Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/83
2019-01-02T01:22:23Z
Trends in Renewable Energy
Vol 5, No 1 (2019); 90-116
Special Cases during the Detection of the Hook Style Energy Theft in Overhead Low-Voltage Power Grids through HS-DET Method – Part 2: Different Measurement Differences, Feint “Smart†Hooks and Hook Interconnection Issues
Peer-reviewed Article
Lazaropoulos, Athanasios G.; National Technical University of Athens / School of Electrical and Computer Engineering
2018-12-26 08:38:41
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/83
Smart Grid; Broadband over Power Lines (BPL); Power Line Communications (PLC); Distribution Power Grid; Energy Theft; Jamming; Robustness.
en
On the basis of [1] and [2], this paper investigates the possibility of jamming the method of the detection of the hook style energy theft (HS-DET method) that is used for the detection of the hook style energy theft in the overhead low-voltage (OV LV) power grids. Three more sophisticated scenarios, which have been revealed in [2] and are the evolution of the three main suspicious issues of [1], are further investigated in this paper. The detection efficiency of HS-DET method is assessed by using the already validated percent error sum (PES) submetrics and appropriate contour plots. Citation: Lazaropoulos, A. G. (2019). Special Cases during the Detection of the Hook Style Energy Theft in Overhead Low-Voltage Power Grids through HS-DET Method – Part 2: Different Measurement Differences, Feint “Smart†Hooks and Hook Interconnection Issues. Trends in Renewable Energy, 5, 90-116. DOI: 10.17737/tre.2019.5.1.0083
oai:ojs.futureenergysp.com:article/142
2022-11-22T02:59:40Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/142
2022-11-22T02:59:40Z
Trends in Renewable Energy
Vol 8, No 1 (2022); 67-83
Life Cycle Assessment of a Coke Cleaning Agent
Peer-reviewed Article
Gong, Yu
Yang, Changyan
Qu, Yinhang
Li, Jiayi
Yang, Bohan
Ding, Yigang
Zhang, Bo
2022-03-20 08:06:41
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/142
Life Cycle Assessment; Descaling Agent; Carbon Footprint; Coke; Production
en
The life cycle assessment of the coke cleaning agent developed by a university-enterprise cooperation project was conducted. This cleaning agent has the characteristics of phosphorus-free, environmentally friendly, and broad market prospects. The life cycle assessment of the established model showed that the GWP of producing 1kg of coke cleaning agent is 1.19 kg CO2 eq, PED is 13.17 MJ, WU is 186.74 kg, AP is 3.63E-03 kg SO2 eq, ADP is 7.75E-05 kg antimony eq, EP is 1.30E-03 kg PO43-eq, RI is 1.16E-03 kg PM2.5 eq, ODP is 4.63E-06 kg CFC-11 eq, and POFP is 1.85E-03 kg NMVOC eq .The uncertainty of the results is between 4.20% and 24.05%. The carbon footprint (GWP) analysis showed that the production process of isotridecanol polyoxyethylene ether, isopropanol, fatty alcohol polyoxyethylene ether M and isodecanol polyoxyethylene ether contributed significantly. The average sensitivity analysis showed that the most influential processes were sodium lauryl amphoacetate, isopropanol, and tripropylene glycol methyl ether. Citation: Gong, Y., Yang, C., Qu, Y., Li, J., Yang, B., Ding, Y., and Zhang, B. (2022). Life Cycle Assessment of a Coke Cleaning Agent. Trends in Renewable Energy, 8(1), 67-83. DOI: 10.17737/tre.2022.8.1.00142
oai:ojs.futureenergysp.com:article/13
2017-10-12T04:07:30Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/13
2017-10-12T04:07:30Z
Trends in Renewable Energy
Vol 3, No 1 (2017); 76-85
A Comparison of Energy Consumption in Hydrothermal Liquefaction and Pyrolysis of Microalgae
Peer-reviewed Article
Zhang, Bo
Wu, Jinsheng
Deng, Zhao
Yang, Changyan
Cui, Chang
Ding, Yigang
2017-01-01 07:29:04
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/13
Microalgae; Energy Consumption; Pyrolysis; Hydrothermal Liquefaction (HTL); Microwave-assisted pyrolysis; Thermal Drying
School of Chemical Engineering and Pharmacy at the Wuhan Institute of Technology
en
The energy requirements for converting one tonne (1,000 kg) of Chlorella slurry of 20 wt% solids via fast pyrolysis, microwave-assisted pyrolysis (MAP), and hydrothermal liquefaction (HTL) were compared. Drying microalgae prior to pyrolysis by using a spray drying process with a 50% energy efficiency required an energy input of 4,107 MJ, which is higher than the energy content (4,000 MJ) of raw microalgae. The energy inputs to conduct fast pyrolysis, MAP, and HTL reactions were 504 MJ (50% efficient), 1,057 MJ (~25% efficient), and 2,776 MJ (50% efficient), respectively. The overall energy requirement of fast pyrolysis is theoretically about 1.6 times more than that of HTL. The energy recovery ratios for fast pyrolysis, MAP, and HTL of microalgae were 78.7%, 57.2%, and 89.8%, respectively. From the energy balance point of view, hydrothermal liquefaction is superior, and it achieved a higher energy recovery with a less energy cost. To improve the pyrolysis process, developing drying devices powered by renewable energies, optimizing the pyrolysis process (specifically microwave-assisted), and improving the energy efficiency of equipment are options.Citation: Zhang, B., Wu, J., Deng, Z.,  Yang, C., Cui, C., and Ding, Y. (2017). A Comparison of Energy Consumption in Hydrothermal Liquefaction and Pyrolysis of Microalgae. Trends in Renewable Energy, 3(1), 76-85. DOI: 10.17737/tre.2017.3.1.0013
oai:ojs.futureenergysp.com:article/112
2020-03-28T04:02:39Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/112
2020-03-28T04:02:39Z
Trends in Renewable Energy
Vol 6, No 1 (2020); 61-87
Statistical Channel Modeling of Overhead Low Voltage Broadband over Power Lines (OV LV BPL) Networks – Part 1: The Theory of Class Map Footprints of Real OV LV BPL Topologies, Branch Line Faults and Hook-Style Energy Thefts
Peer-reviewed Article
Lazaropoulos, Athanasios G.; National Technical University of Athens / School of Electrical and Computer Engineering
2020-03-12 21:45:16
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/112
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Distribution and Transmission Power Grids; Capacity; Statistics; Modeling
en
Due to the significant volatility of Broadband over Power Lines (BPL) networks regarding their circuital and topological characteristics, channel statistical modeling recently gains special attention from the BPL communications engineers. Among the recently presented channel attenuation statistical models, initial statistical hybrid model (iSHM) and modified statistical hybrid model (mSHM) have been theoretically defined and applied to overhead medium voltage (OV MV), underground medium voltage (UN MV) and overhead high voltage (OV HV) BPL networks so far. Apart from the iSHM and mSHM definition and application, the theory of the definition procedure of new virtual distribution and transmission BPL topologies, which describes the phases towards defining statistically equivalent BPL topologies and topology subclasses to the real indicative ones, has been demonstrated as well as the class maps, which are 2D capacity contour plots with respect to the channel attenuation statistical distributions (CASDs) parameters of iSHM and mSHM.In this pair of papers, iSHM, mSHM, the definition procedure of new virtual BPL topologies and the class mapping are first applied to overhead low voltage (OV LV) BPL networks. Based on the class maps and the BPL topology database of Topology Identification Methodology (TIM), the required theory for illustrating the footprint of the real OV LV BPL topologies is first presented on class maps in this paper. On the basis of the class maps and the BPL topology database of Fault and Instability Identification Methodology (FIIM), the required theory for illustrating the footprint of the OV LV BPL topologies with branch line faults is first identified on class maps in this paper. On the basis of the class maps and the BPL topology database of hook style energy theft detection method (HS-DET method), the required theory for illustrating the footprint of the OV LV BPL topologies with a hook style energy theft is first demonstrated on class maps in this paper.Citation: Lazaropoulos, A. G. (2020). Statistical Channel Modeling of Overhead Low Voltage Broadband over Power Lines (OV LV BPL) Networks – Part 1: The Theory of Class Map Footprints of Real OV LV BPL Topologies, Branch Line Faults and Hook-Style Energy Thefts. Trends in Renewable Energy, 6, 61-87. DOI: 10.17737/tre.2020.6.1.00112
oai:ojs.futureenergysp.com:article/168
2024-03-15T02:40:09Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/168
2024-03-15T02:40:09Z
Trends in Renewable Energy
Vol 10 (2024): Current Publications; 159-169
Evaluation of PV-based Buck-Boost and SEPIC Converters for EV Charging Applications
Peer-reviewed Article
K, JAGADEESH; SRI VENKATESWARA UNIVERSITY
Chengaiah, Ch.
2024-03-14 21:31:29
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/168
Solar PV system; DC-DC converters; Particle Swarm Optimization (PSO); Electrical Vehicles; Optimization
en
In recent decades, environmental issues have become an area of greatest concern due to changes in global climate conditions. The transportation sector is a major contributor to carbon dioxide emissions, accounting for more than 22.9% of total carbon dioxide emissions. At present, most vehicles run on gasoline/diesel as fuel which is unsustainable and unviable as fossil fuels produce carbon emissions and fuel costs are rising. To address these issues, electric vehicles (EVs) offer an attractive solution as alternative to internal combustion engine vehicles that use electricity as an energy source. It is logical to use renewable energy to charge vehicles, which makes renewable energy an end-to-end clean energy source. In electric vehicles, energy conversion plays an important role. In the energy conversion process, alternating current (AC) can be converted to direct current (DC), or direct current can be converted to alternating current. In EV fast charging applications, DC-to-DC conversion is used, which requires DC-to-DC converters. In this paper, a detailed evaluation of the Buck-Boost and Single-Ended Primary Inductance Converters (SEPIC) with PV as input is analyzed for EV charging applications to make it end-to-end clean energy. For this purpose, a 5-by-5 PV system with a Buck-Boost, SEPIC converters with particle swarm optimization technique is considered, which is simulated in a MATLAB/SIMULINK environment. The simulation results showed that the ripples in output are minimal in SEPIC which supports the smooth and efficient charging of EV battery. Citation: K, J., & Chengaiah, C. (2024). Evaluation of PV-based Buck-Boost and SEPIC Converters for EV Charging Applications. Trends in Renewable Energy, 10, 159-169. doi:http://dx.doi.org/10.17737/tre.2024.10.2.00168
oai:ojs.futureenergysp.com:article/77
2018-10-05T21:19:46Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/77
2018-10-05T21:19:46Z
Trends in Renewable Energy
Vol 4, No 2 (2018); 185-212
Smart Energy and Spectral Efficiency (SE) of Distribution Broadband over Power Lines (BPL) Networks – Part 2: L1PMA, L2WPMA and L2CXCV for SE against Measurement Differences in Overhead Medium-Voltage BPL Networks
Peer-reviewed Article
Lazaropoulos, Athanasios G.
2018-08-21 23:01:36
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/77
Smart Grid; Broadband over Power Lines (BPL); Power Line Communications (PLC); Distribution Power Grid; Spectral Efficiency
en
This second paper assesses the performance of piecewise monotonic data approximations, such as L1PMA, L2WPMA and L2CXCV, against the measurement differences during the spectral efficiency (SE) calculations in overhead medium-voltage broadband over power lines (OV MV BPL) networks. In this case study paper, the performance of the aforementioned three already known piecewise monotonic data approximations, which are considered as countermeasure techniques against measurement differences, is here extended during the SE computations. The indicative BPL topologies of the first paper are again considered while the 3-30 MHz frequency band of the BPL operation is assumed.Citation: Lazaropoulos, A. G. (2018). Smart Energy and Spectral Efficiency (SE) of Distribution Broadband over Power Lines (BPL) Networks – Part 2: L1PMA, L2WPMA and L2CXCV for SE against Measurement Differences in Overhead Medium-Voltage BPL Networks. Trends in Renewable Energy, 4, 185-212. DOI: 10.17737/tre.2018.4.2.0077
oai:ojs.futureenergysp.com:article/130
2021-11-04T18:25:38Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/130
2021-11-04T18:25:38Z
Trends in Renewable Energy
Vol 7 (2021)
WITHDRAWN: Exergy and Energy Analysis of a CHP System with a Gas Turbine and a Horizontal Axis Wind Turbine
Peer-reviewed Article
Norouzi, Nima; Department of energy engineering and physics, Amirkabir university of technology (Tehran polytechnic), 424 Hafez Avenue, PO Box 15875-4413, Tehran, Iran
2021-07-29 15:53:27
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/130
Amirkabir university of technology
en
This article has been withdrawn at the request of the author. The Publisher apologizes for any inconvenience this may cause.Citation: Norouzi, N. (2021). WITHDRAWN:Â Exergy and Energy Analysis of a CHP System with a Gas Turbine and a Horizontal Axis Wind Turbine. Trends in Renewable Energy, DOI: 10.17737/tre.2021.7.1.00130.
oai:ojs.futureenergysp.com:article/23
2017-01-20T20:08:42Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/23
2017-01-20T20:08:42Z
Trends in Renewable Energy
Vol 2, No 2 (2016); 61-82
Capacity Performance of Overhead Transmission Multiple-Input Multiple-Output Broadband over Power Lines Networks: The Insidious Effect of Noise and the Role of Noise Models
Peer-reviewed Article
Lazaropoulos, Athanasios G.; School of Electrical and Computer Engineering / National Technical University of Athens
2016-06-04 00:00:00
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/23
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Noise Models, Transmission Power Grids; Capacity; Multiple-Input Multiple-Output (MIMO) Systems.
en
Extending the analysis already presented in [1], this paper considers broadband potential of overhead (OV) transmission multiple-input multiple-output (MIMO) broadband over power lines (BPL) networks when different noise conditions occur and different well-proven noise models are adopted.The contribution of this paper is two-fold. First, the broadband potential of a great number of indicative OV high-voltage (HV) BPL topologies and of MIMO transmission schemes is studied in terms of appropriate capacity metrics. The relevant numerical results reveal the significant dependence of ΜΙΜΟ capacity metrics on noise conditions. Second, various well-known BPL noise models from the literature are compared on the basis of their achieved OV HV MIMO BPL capacity. Through the careful study of the capacity results of noise models, it is demonstrated that spectrally flat additive white Gaussian noise (AWGN) may be comfortably assumed as an efficient noise model in transmission MIMO BPL networks. Also in MIMO BPL networks, the comparative capacity analysis of noise models shows small differences among them in the 3-88MHz frequency range.Citation:Lazaropoulos, A. G. (2016). Capacity Performance of Overhead Transmission Multiple-Input Multiple-Output Broadband over Power Lines Networks: The Insidious Effect of Noise and the Role of Noise Models. Trends in Renewable Energy, 2(2), 61-82. DOI: 10.17737/tre.2016.2.2.0023
oai:ojs.futureenergysp.com:article/99
2019-12-05T04:28:17Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/99
2019-12-05T04:28:17Z
Trends in Renewable Energy
Vol 5, No 3 (2019); 237-257
Virtual Indicative Broadband over Power Lines Topologies for Respective Subclasses by Adjusting Channel Attenuation Statistical Distribution Parameters of Statistical Hybrid Models (Class Maps) – Part 1: Theory
Peer-reviewed Article
Lazaropoulos, Athanasios G.
2019-08-15 20:49:11
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/99
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Distribution Power Grids; Capacity; Statistics; Modeling
en
Based on a set of indicative overhead and underground medium voltage broadband over power lines (OV and UN MV BPL) topologies, initial statistical hybrid model (iSHM) and modified statistical hybrid model (mSHM) are statistical channel models suitable for the distribution BPL networks. Both iSHM and mSHM statistically process channel attenuation and capacity values of assumed indicative OV and UN MV BPL topologies by exploiting channel attenuation statistical distributions (CASDs). iSHM exploits a set of well-known CASDs (i.e., Gaussian, Lognormal, Wald, Weibull and Gumbel CASDs) while mSHM exploits the Empirical CASD. Each indicative OV and UN MV BPL topology acts as the representative one of a respective OV and UN MV BPL topology class (i.e., rural, suburban, urban and aggravated urban class) that consists of a number of respective statistically equivalent OV and UN MV BPL topologies. The contribution of this paper is the theoretical framework presentation of the creation of new virtual indicative OV and UN MV BPL topologies by appropriately adjusting the parameters of iSHM and mSHM CASDs. These new virtual indicative OV and UN MV BPL topologies will enrich the respective today’s OV and UN MV BPL topology classes with respective OV and UN MV BPL topology subclasses while each subclass will be enriched by a number of respective statistically equivalent OV and UN MV BPL topologies. The procedure of defining new virtual distribution BPL topologies by applying iSHM and mSHM will allow a better capacity study of OV and UN MV BPL topology classes. Apart from the definition procedure of the virtual indicative OV MV and UN MV BPL topologies and their respective virtual subclasses by adjusting CASD parameters of iSHM and mSHM, the contribution of this paper is the class map that analytically describes the taxonomy of distribution BPL topology classes and subclasses.Citation: Lazaropoulos, A. G. (2019). Virtual Indicative Broadband over Power Lines Topologies for Respective Subclasses by Adjusting Channel Attenuation Statistical Distribution Parameters of Statistical Hybrid Models (Class Maps) – Part 1: Theory. Trends in Renewable Energy, 5, 237-257. DOI: 10.17737/tre.2019.5.3.0099
oai:ojs.futureenergysp.com:article/158
2023-10-26T00:45:09Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/158
2023-10-26T00:45:09Z
Trends in Renewable Energy
Vol 9, No 2 (2023); 167-179
Temperature Forecasting as a Means of Mitigating Climate Change and Its Effects: A Case Study of Mali
Peer-reviewed Article
Billy, Utibe Akpan; University of Calabar
Udo, Sunday O
Ewona, Igwe O
Umoh, Mfon D
Mfongang, Agbor
2023-06-15 20:08:21
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/158
Trend Analysis; Forecast; Temperature; Mali; Mann-Kendall; Models
en
Temperature forecasts and trend analyzes were carried out for several locations in Mali as an important tool for warning of potentially threatening weather events such as severe heat waves, storms, droughts and floods, which could pose a great risk to humans and their environment. Five locations (Segou, Sikasso, Kayes, Gao and Taoudenni) across Mali (170 00’N – 40 00’W) were chosen for this research work. Satellite data of annual temperature obtained from the European Centre for Medium-Range Weather Forecast (ECMWF) database for 35 years (1985-2019) was used for this work. The Mann-Kendall trend test was carried out for various locations to observe and study the trend. Four Models including Auto Regressive and Integrated Moving Average (ARIMA), Exponential smoothening (ETS), TBATS (Trigonometric seasonality, Box-Cox transformation, ARMA errors, Trend and Seasonal components) and the linear model were employed to forecast average temperature for 10 years for all the locations. The model that produces the best forecast at the 95% confidence level is expected to have the lowest Root Mean Square Error (RMSE) value. The results showed that no significant trends were recorded at the considered locations. The linear model produced the best forecast for Segou, Kayes and Taoudenni, while the TBATS model produced the best forecast for Gao and the ARIMA model produced the best forecast for Sikasso.Citation: Billy, U., Udo, S., Ewona, I., Umoh, M., & Mfongang, A. (2023). Temperature Forecasting as a Means of Mitigating Climate Change and Its Effects: A Case Study of Mali. Trends in Renewable Energy, 9(2), 167-179. doi:http://dx.doi.org/10.17737/tre.2023.9.2.00158
oai:ojs.futureenergysp.com:article/45
2018-05-03T13:56:10Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/45
2018-05-03T13:56:10Z
Trends in Renewable Energy
Vol 4, No 1 (2018); 15-42
Main Line Fault Localization Methodology (MLFLM) in Smart Grid – The Underground Medium- and Low-Voltage Broadband over Power Lines Networks Case
Peer-reviewed Article
Lazaropoulos, Athanasios G.
2017-12-29 00:03:30
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/45
Smart Grid; Intelligent Energy Systems; Broadband over Power Lines (BPL) Networks;Power Line Communications (PLC); Faults; Fault Analysis; Fault Localization; Distribution Power Grids
en
This paper assesses the performance of the main line fault localization methodology (MLFLM) when its application is extended to underground medium- and low-voltage broadband over power lines (UN MV and UN LV BPL) networks, say UN distribution BPL networks.  This paper focuses on the localization of main distribution line faults across UV MV and UN LV BPL networks. By extending the MLFLM procedure, which has successfully been applied to overhead medium-voltage (OV MV) BPL networks, the performance assessment of MLFLM is investigated with respect to the nature of the main distribution line faults, the intensity of the measurement differences and the fault location across the main distribution lines of the underground distribution power grid (either MV or LV grid).Citation: Lazaropoulos, A. G. (2017). Main Line Fault Localization Methodology (MLFLM) in Smart Grid – The Underground Medium- and Low-Voltage Broadband over Power Lines Networks Case. Trends in Renewable Energy, 4, 15-42. DOI: 10.17737/tre.2018.4.1.0045
oai:ojs.futureenergysp.com:article/120
2021-11-04T18:26:30Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/120
2021-11-04T18:26:30Z
Trends in Renewable Energy
Vol 6, No 3 (2020); 234-244
Process Design of Microalgae Slurry Pump
Peer-reviewed Article
Li, Jiayi
Qu, Yinhang
Gong, Yu
Yang, Changyan
Yang, Bohan
Liu, Peng
Zhang, Bo
Ding, Yigang
2020-07-24 20:45:25
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/120
Microalgae Slurry; Slurry Pump; Process Design; Viscosity; Pump Power
en
Microalgae are a renewable source of dietary supplements, bioactive compounds, and potential energy. Once harvested, the microalgal medium is dewatered to form a slurry for downstream processing. This article outlines a process design for pumping the microalgae slurry. The pump requirements for delivering the Chlorella slurry with 5, 10 or 20 wt% solids at one tonne per hour (1,000 kg/h) and 10 bar were calculated. The 5 wt% microalgae slurry is a Newtonian fluid with a viscosity of 1.95 mPa×s. The 10 wt% and 20 wt% microalgae slurries are non-Newtonian fluids, whose viscosity depends on the shear rate (g). The viscosity of 10 wt% and 20 wt% microalgae slurries is 1.504 (g = 50 s-1)/1.155 (g = 100 s-1) and 1.844 (g = 50 s-1)/1.219 (g = 100 s-1) mPa×s, respectively. The pump power requirements are mainly governed by the delivery pressure. The effect of the pipe length and the number of elbows is negligible. The effective power of the pump is calculated as 0.267-0.275 kW. To fulfill this duty, a ZGB type single-stage single-suction centrifugal slurry pump can be selected, which would provide enough shear rate to reduce the viscosity of the microalgae slurry and give required shaft power. Citation: Li, J., Qu, Y., Gong, Y., Yang, C., Yang, B., Liu, P., Zhang, B., and Ding, Y. (2020). Process Design of Microalgae Slurry Pump. Trends in Renewable Energy, 6(3), 234-244. DOI: 10.17737/tre.2020.6.3.00120
oai:ojs.futureenergysp.com:article/93
2019-07-14T17:13:48Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/93
2019-07-14T17:13:48Z
Trends in Renewable Energy
Vol 5, No 2 (2019); 117-150
The Role of Information Technology Department against the Hook Style Energy Theft in Smart Cities – Ad-Hoc Overhead Low-Voltage Broadband over Power Lines (OV LV BPL) Networks
Peer-reviewed Article
Lazaropoulos, Athanasios G.; National Technical University of Athens / School of Electrical and Computer Engineering
2019-04-02 00:00:00
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/93
Smart Grid; Broadband over Power Lines (BPL); Power Line Communications (PLC); Distribution Power Grid; Energy Theft; Jamming; Robustness
en
This paper investigates the possibility of detecting the hook style energy theft in the overhead low-voltage (OV LV) power grids through the hook style energy theft method (HS-DET method) when ad-hoc overhead Low-Voltage Broadband over Power Lines (OV LV BPL) networks are deployed by the Information Technology departments of the power utilities. Without the need for the deployment of a complete and permanent OV LV BPL network across the OV LV power grid, the impact of the deviation from the initial measurement positions and of longer ad-hoc OV LV BPL topologies on the detection efficiency of HS-DET method is assessed by using the already validated percent error sum (PES) metrics and appropriate contour plots.Citation: Lazaropoulos, A. G. (2019). The Role of Information Technology Department against the Hook Style Energy Theft in Smart Cities – Ad-Hoc Overhead Low-Voltage Broadband over Power Lines (OV LV BPL) Networks. Trends in Renewable Energy, 5, 117-150. DOI: 10.17737/tre.2019.5.2.0093
oai:ojs.futureenergysp.com:article/140
2022-11-08T03:55:17Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/140
2022-11-08T03:55:17Z
Trends in Renewable Energy
Vol 8, No 2 (2022); 84-95
Construction of Hydrogen Safety Evaluation Model Based on Analytic Hierarchy Process (AHP)
Peer-reviewed Article
Xu, Jianlun
Wang, Minghao
Guo, Ping
2022-03-23 20:05:31
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/140
Analytic Hierarchy Process (AHP); Multi-objective evaluation; Hydrogen safety grade; Hydrogen fuel cell; Alternative energy sources
en
With the large consumption of traditional primary energy, hydrogen as a clean and renewable energy has been widely studied by scholars around the world. Hydrogen is mainly used in hydrogen internal combustion engine and hydrogen fuel cell. Hydrogen internal combustion engine is the direct combustion of hydrogen as fuel, with the advantages of easy use. Alternatively, hydrogen fuel cell converts the chemical energy of hydrogen into electrical energy by electrochemical reaction, which has the advantages of high efficiency and zero pollution. Regardless of the use method, the safety of hydrogen use needs to be considered. However, in the whole life cycle of hydrogen, the process from hydrogen production to the use of hydrogen in automobiles is extremely complex. There are many factors affecting the safety of hydrogen use, and a single factor cannot be used as an evaluation. In order to make the evaluation of hydrogen safety more complete and accurate, the weight of four primary evaluation indexes and eight secondary evaluation indexes affecting hydrogen safety is determined by analytic hierarchy process, and a reliable hydrogen safety evaluation model is established.Citation: Xu, J., Wang, M., and Guo, P. (2022). Construction of Hydrogen Safety Evaluation Model Based on Analytic Hierarchy Process (AHP). Trends in Renewable Energy, 8(2), 84-95. DOI: http://dx.doi.org/10.17737/tre.2022.8.2.00140
oai:ojs.futureenergysp.com:article/34
2017-11-14T19:25:31Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/34
2017-11-14T19:25:31Z
Trends in Renewable Energy
Vol 3, No 2 (2017); 102-128
Improvement of Power Systems Stability by Applying Topology Identification Methodology (TIM) and Fault and Instability Identification Methodology (FIIM) – Study of the Overhead Medium-Voltage Broadband over Power Lines (OV MV BPL) Networks Case
Peer-reviewed Article
Lazaropoulos, Athanasios G.; National Technical University of Athens (NTUA) / School of Electrical and Computer Engineering
2017-10-10 09:50:26
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/34
Smart Grid; Intelligent Energy Systems; Broadband over Power Lines (BPL) Networks; Power Line Communications (PLC); Faults; Fault Analysis; Fault Identification and Prediction; Distribution Power Grids
en
The performance of two useful piecewise monotonic data approximation (PMA) applications that are Topology Identification Methodology (TIM) and Fault and Instability Identification Methodology (FIIM) is investigated in this paper for the overhead medium-voltage broadband over power lines (OV MV BPL) networks. TIM and FIIM are applied to OV MV BPL networks when measurement differences, faults and instabilities occur. By exploiting the L1PMA optimal number of monotonic sections, advanced TIM and FIIM are also proposed and applied to OV MV BPL networks. The results of the four PMA applications are compared and it is found that advanced TIM and FIIM achieve higher computational speeds and almost equivalent identification performance in comparison with the respective original TIM and FIIM. Exploiting the better performance metrics of advanced TIM and FIIM, PMA applications provide a stable step towards the real time surveillance and monitoring of transmission and distribution power grid.Citation: Lazaropoulos, A. G. (2017). Improvement of Power Systems Stability by Applying Topology Identification Methodology (TIM) and Fault and Instability Identification Methodology (FIIM) – Study of the Overhead Medium-Voltage Broadband over Power Lines (OV MV BPL) Networks Case. Trends in Renewable Energy, 3, 102-128. DOI: 10.17737/tre.2017.3.2.0034
oai:ojs.futureenergysp.com:article/113
2020-03-28T04:02:39Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/113
2020-03-28T04:02:39Z
Trends in Renewable Energy
Vol 6, No 1 (2020); 88-109
Statistical Channel Modeling of Overhead Low Voltage Broadband over Power Lines (OV LV BPL) Networks – Part 2: The Numerical Results of Class Map Footprints of Real OV LV BPL Topologies, Branch Line Faults and Hook Style Energy Thefts
Peer-reviewed Article
Lazaropoulos, Athanasios G.; National Technical University of Athens / School of Electrical and Computer Engineering
2020-03-12 21:49:05
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/113
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Distribution and Transmission Power Grids; Capacity; Statistics; Modeling
en
In [1], the theoretical framework for the interoperability of DHM, iSHM, mSHM, the definition procedure and the class maps has been first presented for OV LV BPL networks. But the main interest of the first paper has focused on the theory of the OV LV BPL topology footprints of TIM, FIIM and HS-DET method on the class maps.In this paper, the numerical results concerning the application of iSHM, mSHM, the definition procedure and the class maps to OV LV BPL networks are first shown. Then, given the iSHM and mSHM class maps, the footprints of TIM, FIIM and HS-DET method databases for the OV LV BPL topologies are highlighted. Finally, a technique for the detection of branch line faults and hook style energy thefts that is based on iSHM and mSHM footprints is proposed.Citation: Lazaropoulos, A. G. (2020). Statistical Channel Modeling of Overhead Low Voltage Broadband over Power Lines (OV LV BPL) Networks – Part 2: The Numerical Results of Class Map Footprints of Real OV LV BPL Topologies, Branch Line Faults and Hook Style Energy Thefts. Trends in Renewable Energy, 6, 88-109. DOI: 10.17737/tre.2020.6.1.00113
oai:ojs.futureenergysp.com:article/78
2018-10-05T21:19:46Z
tre:ART
driver
v2
http://futureenergysp.com/index.php/tre/article/view/78
2018-10-05T21:19:46Z
Trends in Renewable Energy
Vol 4, No 2 (2018); 213-235
Development of Feed-Forward Back-Propagation Neural Model to Predict the Energy and Exergy Analysis of Solar Air Heater
Peer-reviewed Article
Ghritlahre, Harish Kumar
2018-08-27 21:01:56
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/78
Solar air heater; Energy analysis; Exergy analysis; Artificial Neural Network; Multi-layer perceptron
en
In the present work, Artificial Neural Network (ANN) model has been developed to predict the energy and exergy efficiency of a roughened solar air heater (SAH). Total fifty data sets of samples, obtained by conducting experiments on SAHs with three different specification of wire-rib roughness on the absorber plates, have been used in this work. These experimental data and calculated values of thermal efficiency and exergy efficiency have been used to develop an ANN model. Levenberg-Marquardt (LM) and Scaled Conjugate Gradient (SCG) learning algorithm were used to train the proposed ANN model. Six numbers of neurons were found with LM learning algorithm in the hidden layer as the optimal value on the basis of statistical error analysis. In the input layer, the time of experiments, mass flow rate, ambient temperature, mean temperature of air, absorber plate temperature and solar radiation intensity have been taken as input parameters; and energy efficiency and exergy efficiency have been taken as output parameters in the output layer. The 6-6-2 neural model has been obtained as the optimal model for prediction. Performance predictions using ANN were compared with the experimental data and a close agreement was observed. Statistical error analysis was used to evaluate the results.Citation: Ghritlahre, H. K. (2018). Development of feed-forward back-propagation neural model to predict the energy and exergy analysis of solar air heater. Trends in Renewable Energy, 4, 213-235. DOI: 10.17737/tre.2018.4.2.0078
oai:ojs.futureenergysp.com:article/131
2021-11-04T18:25:38Z
tre:ART
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http://futureenergysp.com/index.php/tre/article/view/131
2021-11-04T18:25:38Z
Trends in Renewable Energy
Vol 7 (2021); 73-86
Exergy and Energy Analysis of Wind-Thermal System
Peer-reviewed Article
Norouzi, Nima; Department of energy engineering and physics, Amirkabir university of technology (Tehran polytechnic), 424 Hafez Avenue, PO Box 15875-4413, Tehran, Iran,
2021-08-29 21:27:53
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/131
ORC cycle; Wind turbine; Energy analysis; Wind Thermal; Exergy analysis
Non
en
Current wind systems are intermittent and cannot be used as the baseload energy source. The research on the concept of wind power using direct thermal energy conversion and thermal energy storage, called wind powered Thermal Energy System (WTES), opened the door to a new energy system called Wind-thermal, which is a strategy for developing baseload wind power systems. The thermal energy is generated from the rotating energy directly at the top of the tower by the heat generator, which is a simple and light electric brake. The rest of the system is the same as the tower type concentrated solar power (CSP). This paper’s results suggest that the energy and exergy performance of the WTES (62.5% and 29.8%) is comparable to that of conventional wind power, which must be supported by the backup thermal plants and grid enhancement. This cogeneration nature of the WTES system makes this system suitable for using wind power as a direct heat source in several heat-demanding processes such as chemical production. Also, the light heat generator reduces some issues of wind power, such as noise and vibration, which are two main bottlenecks of the wind power technology.Citation: Norouzi, N. (2021). Exergy and Energy Analysis of Wind-Thermal System. Trends in Renewable Energy, 7(1), 73-86. DOI: 10.17737/tre.2021.7.1.00131
oai:ojs.futureenergysp.com:article/26
2017-01-20T19:39:53Z
tre:ART
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http://futureenergysp.com/index.php/tre/article/view/26
2017-01-20T19:39:53Z
Trends in Renewable Energy
Vol 2 (2016): Special Issue on Smart Grid (1); 85-112
Measurement Differences, Faults and Instabilities in Intelligent Energy Systems – Part 1: Identification of Overhead High-Voltage Broadband over Power Lines Network Topologies by Applying Topology Identification Methodology (TIM)
Peer-reviewed Article
Lazaropoulos, Athanasios G.; School of Electrical and Computer Engineering / National Technical University of Athens /
9 IroonPolytechniou Street / Zografou, GR 15780
2016-10-03 08:55:29
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/26
Smart Grid; Intelligent Energy Systems; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Faults; Fault Analysis; Transmission Power Grids
en
This first paper considers the identification of the structure of overhead high-voltage broadband over power lines (OV HV BPL) network topologies by applying the best L1 Piecewise Monotonic data Approximation (best L1PMA) to measured OV HV BPL transfer functions. Even if measurement differences occur during the determination of an OV HV BPL transfer function, the corresponding OV HV BPL network topology may be revealed through the curve similarity of the best L1PMA result compared with the available records of the proposed OV HV BPL transfer function database.The contribution of this paper is triple. First, based on the inherent piecewise monotonicity of OV HV BPL transfer functions, best L1PMA is first applied during the determination of theoretical and measured OV HV BPL transfer functions. Second, the creation procedure of the OV HV BPL network topology database is demonstrated as well as the curve similarity performance metric (CSPM). Third, the accuracy of the proposed Topology Identification Methodology (TIM) is examined in comparison with the traditional TIM with respect to the nature of the measurement differences during the determination of OV HV BPL transfer functions.Citation: Lazaropoulos, A. G. (2016). Measurement Differences, Faults and Instabilities in Intelligent Energy Systems – Part 1: Identification of Overhead High-Voltage Broadband over Power Lines Network Topologies by Applying Topology Identification Methodology (TIM). Trends in Renewable Energy, 2(3), 85-112. DOI: 10.17737/tre.2016.2.3.0026
oai:ojs.futureenergysp.com:article/100
2019-12-05T04:28:17Z
tre:ART
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http://futureenergysp.com/index.php/tre/article/view/100
2019-12-05T04:28:17Z
Trends in Renewable Energy
Vol 5, No 3 (2019); 258-281
Virtual Indicative Broadband over Power Lines Topologies for Respective Subclasses by Adjusting Channel Attenuation Statistical Distribution Parameters of Statistical Hybrid Models (Class Maps) – Part 2: Numerical Results for the Overhead and Underground Medium-Voltage Power Grids
Peer-reviewed Article
Lazaropoulos, Athanasios G.
2019-08-16 09:33:38
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/100
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Distribution Power Grids; Capacity; Statistics; Modeling
en
With reference to the initial statistical hybrid model (iSHM) and modified statistical hybrid model (mSHM), the theory of the definition procedure of new virtual indicative distribution BPL topologies by appropriately adjusting the channel attenuation statistical distributions (CASDs) parameters of iSHM and mSHM has been presented in [1]. In this paper, the results of the definition procedure for the OV and UN MV BPL networks are first presented through the prism of the proposed class maps of iSHM and mSHM.Citation: Lazaropoulos, A. G. (2019). Virtual Indicative Broadband over Power Lines Topologies for Respective Subclasses by Adjusting Channel Attenuation Statistical Distribution Parameters of Statistical Hybrid Models (Class Maps) – Part 2: Numerical Results for the Overhead and Underground Medium-Voltage Power Grids. Trends in Renewable Energy, 5, 258-281. DOI: 10.17737/tre.2019.5.3.00100
oai:ojs.futureenergysp.com:article/163
2024-03-09T01:48:30Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/163
2024-03-09T01:48:30Z
Trends in Renewable Energy
Vol 10, No 1 (2024); 1-29
Exploring Cutting-Edge Approaches to Reduce Africa's Carbon Footprint through Innovative Technology Dissemination
Peer-reviewed Article
Nwokolo, Samuel Chukwujindu; University of Calabar, Calabar, Nigeria
Eyime, Eyime Echeng
Obiwulu, Anthony Umunnakwe; University of Lagos, Lagos, Nigeria
Ogbulezie, Julie C.; University of Calabar, Nigeria
2023-11-08 17:30:32
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/163
Renewable energy; Climate-smart potential; Technological diffusion; Sustainable renewable energy growth; Greenhouse gas (GHG) emissions; Revitalizing Africa
none
en
This paper investigates the possibility of revolutionizing Africa's carbon footprint through innovative technology dissemination strategies for GHG emission reduction. It highlights the importance of harnessing renewable energy sources to mitigate climate change and promote sustainable development in Africa. This paper also examined several technology diffusion theories in order to unleash Africa's climate-smart potential by tying them to the recommended techniques for dealing with technological diffusion concerns. These theories varied from diffusion of innovation theory to planned behaviour theory. By analysing these theories, it was found that the most appropriate technology diffusion theory for the assessment of innovative technology dissemination strategies for GHG emission reduction in Africa would be the Diffusion of Innovations Theory. This is due to the theory's emphasis on the dissemination and adoption of new ideas, technologies, or innovations by people or groups within a social system. It would give useful insights into the variables influencing the adoption and dissemination of novel technology for reducing GHG emissions in Africa. The paper also discusses the challenges and barriers faced in the diffusion of renewable energy technologies across the continent while proposing innovative strategies to overcome these obstacles and unlock Africa's untapped climate-smart potential. These strategies include promoting policy and regulatory frameworks that incentivize investment in renewable energy, fostering partnerships between governments, private sector entities, and international organizations to support technology transfer and capacity building, and implementing financial mechanisms such as green bonds and carbon pricing to mobilize funding for renewable energy projects. These proposed strategies were also used to develop seven policies required for innovative technology dissemination strategies for GHG emission reduction in Africa. These policies aim to address the unique challenges faced by African countries in adopting and implementing innovative technologies for GHG emission reduction. By focusing on capacity building, financial incentives, and knowledge sharing, these strategies seek to promote the widespread adoption of sustainable technologies across the continent. They emphasize the importance of collaboration between governments, private sector entities, and international organizations to ensure the successful implementation and long-term sustainability of these policies.Citation: Nwokolo, S. C., Eyime, E. E., Obiwulu, A. U., & Ogbulezie, J. C. (2023). Exploring Cutting-Edge Approaches to Reduce Africa's Carbon Footprint through Innovative Technology Dissemination. Trends in Renewable Energy, 10, 1-29. doi:10.17737/tre.2024.10.1.00163
oai:ojs.futureenergysp.com:article/59
2018-05-03T13:56:10Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/59
2018-05-03T13:56:10Z
Trends in Renewable Energy
Vol 4, No 1 (2018); 43-73
Broadband Performance Metrics and Regression Approximations of the New Coupling Schemes for Distribution Broadband over Power Lines (BPL) Networks
Peer-reviewed Article
Lazaropoulos, Athanasios G.
2018-03-14 22:02:35
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/59
Broadband over Power Lines (BPL); Power Line Communications (PLC); distribution power grids; statistical performance metrics; Smart Grid (SG)
en
This paper assesses the broadband performance of overhead (OV) and underground (UN) low-voltage (LV) and medium-voltage (MV) broadband over power lines (BPL) networks when the new refined Coupling Scheme module (CS2 module) is adopted. The broadband performance of distribution BPL networks is assessed in terms of their Average Channel Gain (ACG), Root-Mean-Square Delay-Spread (RMS-DS), Coherence Bandwidth (CB) and Spectral Efficiency (SE). Also, corresponding regression approximations (i.e., UN1, UN2 and UN3 approaches) are given in the examined BPL frequency range. The aforementioned broadband performance metrics of the application of CS2 module are compared against the relative ones of the vintage CS1 module and of MIMO channels. The analysis and relevant numerical results outline: (i) the important improvement of the aforementioned performance metrics and regression approximations when CS2 module is applied in distribution BPL networks instead of CS1 module; and (ii) the universal role of UN1, UN2 and UN3 approaches for describing coupling scheme channels and MIMO ones.Citation:Â Lazaropoulos, A. G. (2018). Broadband Performance Metrics and Regression Approximations of the New Coupling Schemes for Distribution Broadband over Power Lines (BPL) Networks. Trends in Renewable Energy, 4, 43-73.
oai:ojs.futureenergysp.com:article/122
2021-11-04T18:26:30Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/122
2021-11-04T18:26:30Z
Trends in Renewable Energy
Vol 6, No 3 (2020); 245-265
Management Information Systems and Data Science in the Smart Grid – Inner Class Area Capacity Distribution of the iSHM Class Maps of Overhead Low-Voltage Broadband over Power Lines Topologies
Peer-reviewed Article
Lazaropoulos, Athanasios G.; 1: School of Electrical and Computer Engineering / National Technical University of Athens / 9 Iroon Polytechniou Street / Zografou, GR 15780
2: Department of Industrial Design and Production Engineering / School of Engineering / University of West Attica / 250 Thivon & P. Ralli / Athens, GR 12244
2020-09-26 20:44:37
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/122
Smart Grid; Broadband over Power Lines (BPL) networks; Power Line Communications (PLC); Distribution and Transmission Power Grids; Capacity, Statistics; Modeling; Management Information Systems; Data Science
en
On the basis of the initial Statistical Hybrid Model (iSHM), the iSHM class maps, which are 2D contour plots and may graphically classify the real and virtual OV LV BPL topologies into five class areas, are upgraded in this paper by exploiting the third dimension of the capacity so that the upgraded class maps can provide additional information concerning the inner class area capacity distribution. The comprehension of the behavior of the inner class area capacity distribution is critical in order to deeper understand the extent and the position of iSHM class map footprints when various operation conditions of OV LV BPL topologies occur. Two inner class area capacity distribution rule of thumbs that deal with the OV LV BPL topology classification and capacity estimation are proposed thus supporting the management information system of OV LV BPL networks.Citation: Lazaropoulos, A. G. (2020). Management Information Systems and Data Science in the Smart Grid – Inner Class Area Capacity Distribution of the iSHM Class Maps of Overhead Low-Voltage Broadband over Power Lines Topologies. Trends in Renewable Energy, 6(3), 245-265. DOI: 10.17737/tre.2020.6.3.00122
oai:ojs.futureenergysp.com:article/95
2019-07-14T17:13:48Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/95
2019-07-14T17:13:48Z
Trends in Renewable Energy
Vol 5, No 2 (2019); 151-164
Production of Biochar Based Porous Carbon Nanofibers for High-Performance Supercapacitor Applications
Peer-reviewed Article
Xiu, Shuangning; North Carolina A&T State University
Gbewonyob, Spero
Shahbazi, Abolghasem
Zhang, Lifeng
2019-04-08 07:12:59
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/95
Biochar; Pyrolysis; Supercapacitor; Nanofiber; Activated carbon
United States Department of Agriculture-National Institute of Food and Agriculture
en
Biomass-derived biochar was used as the precursor to synthesize porous carbons for supercapacitor electrodes. The biochar was first activated with KOH to generate porous carbon material and then fabricated into highly flexible porous carbon nanofibers (ECNF) by electrospinning technique. Activated carbons with a surface area of around 2258 m2/g were found. The resultant biochar based ECNF mats exhibited outstanding mechanical flexibility and electrochemical properties as free-stranding and binder free electrodes of supercapacitor. The PAN/BCK3 ECNFs, which were made from the composite of polyacrylonitrile (PAN) and KOH-activated biochar (mass ratio of Biochar/KOH =1:3) exhibited the highest gravimetric capacitance (108 F/g at current density of 0.5 A/g) with high retention (96% at 1 A/g) due to its well-developed micro-mesoporosity. The results indicated that biomass-derived biochar is a promising material which can be used for the production of low cost high performance electrode materials for supercapacitor. Citation: Xiu, S., Gbewonyob, S., Shahbazi, A., and Zhang, L. (2019). Production of Biochar Based Porous Carbon Nanofibers for High-Performance Supercapacitor Applications. Trends in Renewable Energy, 5, 151-164. DOI: 10.17737/tre.2019.5.2.0095
oai:ojs.futureenergysp.com:article/143
2022-11-08T03:55:17Z
tre:ART
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v2
http://futureenergysp.com/index.php/tre/article/view/143
2022-11-08T03:55:17Z
Trends in Renewable Energy
Vol 8, No 2 (2022); 107-118
Backpropagation Neural Network (BPNN) Algorithm for Predicting Wind Speed Patterns in East Nusa Tenggara
Peer-reviewed Article
http://futureenergysp.com/index.php/tre/article/download/143/614
http://futureenergysp.com/index.php/tre/article/download/143/615
http://futureenergysp.com/index.php/tre/article/download/143/616
http://futureenergysp.com/index.php/tre/article/download/143/617
http://futureenergysp.com/index.php/tre/article/download/143/618
http://futureenergysp.com/index.php/tre/article/download/143/619
Gunawan, Andri; Department of Energy Security, Faculty Defense Management, Indonesia Defense University, Jakarta 10430, Indonesia
Thamrin, Suyono; Department of Energy Security, Faculty Defense Management, Indonesia Defense University, Jakarta 10430, Indonesia
Kuntjoro, Yanif Dwi; Department of Energy Security, Faculty Defense Management, Indonesia Defense University, Jakarta 10430, Indonesia
Idris, Abdi Manab; Department of Energy Security, Faculty Defense Management, Indonesia Defense University, Jakarta 10430, Indonesia
2022-04-10 17:48:01
Trends in Renewable Energy is an international peer-reviewed open access journal, adopting Creative Commons Attribution License (CC-BY). The author(s) hold the copyright and retain publishing rights without restrictions. Copyright holders allow users to distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honor or reputation.
url:http://futureenergysp.com/index.php/tre/article/view/143
BPPN; Wind Speed; MSE; MAPE; East Nusa Tenggara
en
The Paris agreement compels all countries to make major contributions to the zero-emission scheme, a legally binding international treaty on climate change. This fulfilment must be supported by technological developments towards Society 5.0, forcing every country to develop renewable energy (clean energy) on a large scale. One of the renewable energies with the highest efficiency is wind power generation. Its construction requires a large cost, and the best location must consider the high wind speed. East Nusa Tenggara Province is one of the locations in the border area with insufficient electricity. The choice of location was supported by military operations in guarding the border which required a lot of energy. Therefore, it is necessary to predict wind speed patterns based on historical data from the database so that wind power plants can be realized. One of the best methods for long-term prediction of wind speed is the backpropagation neural network (BPPN) method. Wind speed data was used from January 2003 to December 2020 with a total of 216 data sets obtained from NASA. It should be noted that January 2003 to December 2010 data is positioned as input data, while training target data is from January 2011-December 2015. Validation data is determined from January 2016-December 2020. The best predictive architecture model is 8-11-5- 5, learning rate is 0.4 and epoch is 20,000. Prediction accuracy is very good with a mean square error (MSE) value of 0.007634 and a mean absolute percentage error (MAPE) of 11.62783. The highest wind speed was shown in February 2018 as 10.75 m/s.Citation: Gunawan, A., Thamrin, S., Kuntjoro, Y. D., and Idris, A. M. (2022). Backpropagation Neural Network (BPNN) Algorithm for Predicting Wind Speed Patterns in East Nusa Tenggara. Trends in Renewable Energy, 8, 107-118. DOI: 10.17737/tre.2022.8.2.00143