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Enhancing the photovoltaic system efficiency using porous metallic media integrated with phase change material
Faculty
Engineering
Year:
2021
Type of Publication:
ZU Hosted
Pages:
Authors:
Mohammed Abdelfattah Mohamed Farahat
Staff Zu Site
Abstract In Staff Site
Journal:
Energy EL SEVIER
Volume:
Keywords :
Enhancing , photovoltaic system efficiency using porous
Abstract:
Photovoltaic (PV) thermal systems are a good efficiency enhancement solution as they enhance the electrical efficiency of PV panels and produce thermal energy. A recent technique that causes homogeneity in the PV cell temperature and provides energy storage is the use of phase change materials. However, some types of inexpensive phase change materials available in the market, such as paraffin, have low thermal conductivity in the solid phase. This paper introduces a solution for this problem using porous metallic media (PMM) integrated with the PCM system with active cooling. This investigation was experimentally conducted using three flow rates (0.2, 0.3, and 0.4 LPM) of water as a heat transfer fluid. The comparative analysis showed that for all flow rates, the PMM-PCM system achieved a higher efficiency than that with only the PCMs. The maximum electrical efficiency reached was 23% with the flow rate of 0.4 LPM, providing the best cooling for the PV panels within the system. Regarding the thermal efficiency, the flow rate of 0.3 LPM was found to achieve a maximum thermal efficiency of 74% in the PMM-PCM system. Moreover, an optimum overall efficiency of 95% in the system was achieved at 0.3 LPM.
Author Related Publications
Mohammed Abdelfattah Mohamed Farahat, "A New Approach for Short-Term Load Forecasting Using Curve Fitting Prediction Optimized by Genetic Algorithms", IEEE, 2010
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Mohammed Abdelfattah Mohamed Farahat, "Short-Term Load Forecasting Using Curve Fitting Prediction Optimized by Genetic Algorithms", SAP journals, 2012
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Mohammed Abdelfattah Mohamed Farahat, "The Using of Curve Fitting Prediction Optimized by Genetic Algorithms for Short-Term Load Forecasting", Praise Worthy Prize, 2012
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Mohammed Abdelfattah Mohamed Farahat, "A New Artificial Neural Network Approach with Selected Inputs for Short Term Electric Load Forecasting", Praise Worthy Prize, 2008
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Mohammed Abdelfattah Mohamed Farahat, "Factors Affecting the Life Time of the Electric Joints", Cairo University, 2010
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Department Related Publications
Attia Abdelaziz Hussien Ali, "Artificial Bee Colony-Based Approach for Optimal Capacitor Placement in Distribution Networks", Springer International Publishing Switzerland, 2013
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Sahar Mohamed Abdelaziem Ahmed Eldeeb, "Flower Pollination Algorithm for Optimal Capacitor Placement and Sizing in Distribution Systems", Taylor & Francis, 2016
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Nadia Abdelwahab Hammam Elsonbaty, "Soft Computing-Based New Control Techniques For MPPT of PV-Water Pumping System", International Conference on New Energy & Environmental Engineering, ICNEEE 2016,, 2016
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Ehab Saliem Ali Mohamed Salamh, "Speed Control of Induction Motor Supplied by Wind Turbine via Imperialist Competitive Algorithm", ScienceDirect - Elsevier, 2015
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