Towards highly efficient solar photovoltaic thermal cooling by waste heat utilization: A review

被引:11
作者
Farag, Mena Maurice [1 ,2 ]
Hamid, Abdul-Kadir [1 ,2 ]
AlMallahi, Maryam Nooman [3 ]
Elgendi, Mahmoud [3 ,4 ,5 ]
机构
[1] Univ Sharjah, Coll Engn, Dept Elect Engn, POB 27272, Sharjah, U Arab Emirates
[2] Univ Sharjah, Res Inst Sci & Engn, Smart Automat & Commun Technol Res Ctr SACT, POB 27272, Sharjah, U Arab Emirates
[3] United Arab Emirates Univ, Coll Engn, Dept Mech & Aerosp Engn, Al Ain, U Arab Emirates
[4] United Arab Emirates Univ, Natl Water & Energy Ctr, POB 15551, Al Ain, U Arab Emirates
[5] Minia Univ, Fac Engn, Dept Mech Power Engn & Energy, Al Minya, Egypt
关键词
Adaptive and Robust Controlled Schemes; Predictive Cooling; PV/T; Sensors; Solar Energy; Optimization; ARTIFICIAL NEURAL-NETWORK; DOUBLE-DIODE MODEL; PARTICLE SWARM OPTIMIZATION; GRID-CONNECTED SYSTEM; PUMP SYSTEM; ENERGETIC PERFORMANCE; PV/T TECHNOLOGY; 2-DIODE MODEL; COLLECTORS; PARAMETERS;
D O I
10.1016/j.ecmx.2024.100671
中图分类号
O414.1 [热力学];
学科分类号
摘要
Photovoltaic (PV) systems are popular for their reliability and zero fuel costs. However, only around 20 % of solar energy is converted into electricity, while the remainder is dissipated as waste heat. Excessive waste heat affects the lifespan of PV systems, leading to abnormal operating temperatures. In this notion, Photovoltaicthermal (PV/T) systems are introduced to extract waste heat through various cooling techniques to harness electrical and thermal energies, demonstrating their capabilities through experimental and modeling techniques. Researchers have sought to develop optimized modeling techniques based on empirical, semi-empirical, and AIbased modeling for efficient execution of PV/T systems. This study reviews the current optimization developments in the PV/T systems, focusing on multiple numerical and experimental designs. Various cooling methods, including air, water, and phase change materials (PCM) with nanofluids, are examined for their promising contributions to electrical and thermal efficiency enhancement. Additionally, optimization methods have been investigated by incorporating automated processes into PV/T systems employing self-automation techniques. These processes aim to reduce the overall cost and establish a self-sustaining performance. Finally, the challenges and recommendations for future research for PV/T enhancement are highlighted.
引用
收藏
页数:20
相关论文
共 246 条
  • [81] SIMPLIFIED METHOD FOR PREDICTING PHOTO-VOLTAIC ARRAY OUTPUT
    EVANS, DL
    [J]. SOLAR ENERGY, 1981, 27 (06) : 555 - 560
  • [82] EVANS DL, 1977, SOL ENERGY, V20, P37
  • [83] Farag M. M., 2022, IET Conference Proceedings, P198, DOI 10.1049/icp.2022.2448
  • [84] Metaheuristic Algorithms in Optimal Power Flow Analysis: A Qualitative Systematic Review
    Farag, Mena Maurice
    Alhamad, Razan Adnan
    Nassif, Ali Bou
    [J]. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2023, 32 (07)
  • [85] An Optimized Fractional Nonlinear Synergic Controller for Maximum Power Point Tracking of Photovoltaic Array Under Abrupt Irradiance Change
    Farag, Mena Maurice
    Patel, Nirav
    Hamid, Abdul-Kadir
    Adam, Ali Ahmed
    Bansal, Ramesh C.
    Bettayeb, Maamar
    Mehiri, Abdelbasset
    [J]. IEEE JOURNAL OF PHOTOVOLTAICS, 2023, 13 (02): : 305 - 314
  • [86] Solar energy development in the GCC region - a review on recent progress and opportunities
    Farag, Mena Maurice
    Bansal, Ramesh C.
    [J]. INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION, 2023, 43 (05) : 579 - 599
  • [87] Farag MM, 2021, I C DEV ESYST ENG, P241, DOI [10.1109/DeSE54285.2021.9719385, 10.1109/DESE54285.2021.9719385]
  • [88] Farag MM, 2021, INT C EL COMP COMM M, P1, DOI [10.1109/ICECCME52200.2021.9590896, DOI 10.1109/ICECCME52200.2021.9590896]
  • [89] Farag MM, 2023, 50 INT C COMP IND EN, P1692
  • [90] Farag MM, 2023, 2023 ADV SCI ENG TEC, P1, DOI [10.1109/ASET56582.2023.10180880, DOI 10.1109/ASET56582.2023.10180880]