Enhancing the Power Conversion of Photovoltaic Systems with Metallic Porous Media and Phase Change Material

Faculty Engineering Year: 2021
Type of Publication: ZU Hosted Pages:
Authors:
Journal: The Egyptian International Journal of Engineering Sciences and Technology The Egyptian International Journal of Engineering Sciences and Technology Volume:
Keywords : Enhancing , Power Conversion , Photovoltaic Systems with    
Abstract:
Photovoltaic system is one of the promising electricity generation devices due to its direct solar energy conversion, safe power transmission and practicability. However, its performance is very sensitive to high temperatures. Photovoltaic/Thermal systems were presented for enhancing the electrical efficiency and making use of the lost thermal energy. In this research, a combined usage of Paraffin as a phase change material, and a stainless-steel porous media was used to decrease its temperature and use its thermal energy. Two different systems were used for comparison. One contains Stainless steel wool with paraffin, and the other contains Paraffin without porous media. Three flow rates of 0.3300, 0.330, and 0.3300 L/s were used of water as a heat transfer fluid. It was found that, for all the tested flow rates, the system with a porous metallic media achieved lower surface temperature, higher electrical efficiency, and higher overall efficiency. The temperature of the PV cell decreased by 5 to 25⁰ C. The enhancement achieved was from 10% to 28% in the overall efficiency, and 1% to 4% in the electrical efficiency. This emphasizes the importance of the porous metallic media in enhancing properties of Paraffin as a phase change material when using with the Photovoltaic modules cooling.
   
     
 
       

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 More
  • Mohammed Abdelfattah Mohamed Farahat, "Short-Term Load Forecasting Using Curve Fitting Prediction Optimized by Genetic Algorithms", SAP journals, 2012 More
  • Mohammed Abdelfattah Mohamed Farahat, "The Using of Curve Fitting Prediction Optimized by Genetic Algorithms for Short-Term Load Forecasting", Praise Worthy Prize, 2012 More
  • Mohammed Abdelfattah Mohamed Farahat, "A New Artificial Neural Network Approach with Selected Inputs for Short Term Electric Load Forecasting", Praise Worthy Prize, 2008 More
  • Mohammed Abdelfattah Mohamed Farahat, "Factors Affecting the Life Time of the Electric Joints", Cairo University, 2010 More

Department Related Publications

  • Mohamed Alsayed Lotfy Elsayed Abozyd, "Comparative analyses and optimizations of hybrid biomass and solar energy systems based upon a variety of biomass technologies", Elsevier, 2024 More
  • Mohamed Alsayed Lotfy Elsayed Abozyd, "Analysis of Techno-Economic-Environmental Suitability of an Isolated Microgrid System Located in a Remote Island of Bangladesh", MDPI, 2020 More
  • Sameh Ibrahiem Selem Abdallah Abdelkreem, "Equilibrium optimizer for parameter extraction of a fuel cell dynamic model", Elsevier, 2021 More
  • Attia Abdelaziz Hussien Ali, "Equilibrium optimizer for parameter extraction of a fuel cell dynamic model", Elsevier, 2021 More
Tweet