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
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页数:20
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  • [51] A review of hybrid wave-tidal energy conversion technology
    Chen, Peihao
    Wu, Dawei
    [J]. OCEAN ENGINEERING, 2024, 303
  • [52] Remote sensing of photovoltaic scenarios: Techniques, applications and future directions
    Chen, Qi
    Li, Xinyuan
    Zhang, Zhengjia
    Zhou, Chao
    Guo, Zhiling
    Liu, Zhengguang
    Zhang, Haoran
    [J]. APPLIED ENERGY, 2023, 333
  • [53] Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review
    Chin, Vun Jack
    Salam, Zainal
    Ishaque, Kashif
    [J]. APPLIED ENERGY, 2015, 154 : 500 - 519
  • [54] Modelling of photovoltaic-thermal collectors for the provision of electricity and low temperature heat-Comparison of different flow rate control approaches to optimize the electrical yield
    Christ, Daniel
    Kaltschmitt, Martin
    [J]. RENEWABLE ENERGY FOCUS, 2021, 37 : 1 - 13
  • [55] A novel comparative analysis between the experimental and numeric methods on viscosity of zirconium oxide nano fluid: Developing optimal artificial neural network and new mathematical model
    Colak, Andac Batur
    [J]. POWDER TECHNOLOGY, 2021, 381 : 338 - 351
  • [56] Enhancing the performance of a photovoltaic thermal system with phase change materials: Predictive modelling and evaluation using neural networks
    Deka, Manash Jyoti
    Kamble, Akash Dilip
    Das, Dudul
    Sharma, Prabhakar
    Ali, Shahadath
    Kalita, Paragmoni
    Bora, Bhaskor Jyoti
    Kalita, Pankaj
    [J]. RENEWABLE ENERGY, 2024, 224
  • [57] Advancements, Challenges, and Pathways to Sustainable Biofuel Production
    Din, Muhammad Imran
    Ameen, Saba
    Hussain, Zaib
    Khalid, Rida
    [J]. CHEMICAL ENGINEERING & TECHNOLOGY, 2024, 47 (04) : 614 - 623
  • [58] Advancements of wind energy conversion systems for low-wind urban environments: A review
    Ding, TanJian
    Chang, Clifford Choe Wei
    Bhuiyan, Mohammad Arif Sobhan
    Minhad, Khairun Nisa
    Ali, Kharudin
    [J]. ENERGY REPORTS, 2022, 8 : 3406 - 3414
  • [59] Machine learning-based thermo-electrical performance improvement of nanofluid-cooled photovoltaic-thermal system
    Diwania, Sourav
    Kumar, Maneesh
    Kumar, Rajeev
    Kumar, Arun
    Gupta, Varun
    Khetrapal, Pavan
    [J]. ENERGY & ENVIRONMENT, 2024, 35 (04) : 1793 - 1817
  • [60] Photovoltaic-thermal (PV/T) technology: a comprehensive review on applications and its advancement
    Diwania, Sourav
    Agrawal, Sanjay
    Siddiqui, Anwar S.
    Singh, Sonveer
    [J]. INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING, 2020, 11 (01) : 33 - 54