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Optimization assessment of the energy performance of a BIPV/T-PCM system using Genetic Algorithms

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  • Pereira, Ricardo
  • Aelenei, Laura

Abstract

In this paper, a BIPV/T-PCM installed in an office building façade is investigated to approach the system efficiency optimization using Genetic Algorithm method. Based on an updated mathematical model, theoretical simulation has been conducted for BIPV/T-PCM in this case for the existing system set-up (geometry-air cavity width, ventilation, system layers). Furthermore, field testing for this case has also been performed to validate the model, and then the simulated and experimental results are compared and found in considerably good agreement. The overall energy efficiency of the system was evaluated for winter and summer condition adopting different utilization strategies and optimization variables have been identified. The thermal and electric efficiencies were calculated based on the optimization variables and the results shown that the system can achieve a maximum overall efficiency of 64% with winter configuration and 32% with summer configuration.

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  • Pereira, Ricardo & Aelenei, Laura, 2019. "Optimization assessment of the energy performance of a BIPV/T-PCM system using Genetic Algorithms," Renewable Energy, Elsevier, vol. 137(C), pages 157-166.
    • Handle: RePEc:eee:renene:v:137:y:2019:i:c:p:157-166
    DOI: 10.1016/j.renene.2018.06.118
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    References listed on IDEAS

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    1. Chow, T.T., 2010. "A review on photovoltaic/thermal hybrid solar technology," Applied Energy, Elsevier, vol. 87(2), pages 365-379, February.
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    2. Shi, Hao & Xu, Huining & Tan, Yiqiu & Li, Qiang & Yi, Wei, 2022. "Multi-objective optimization of operation strategy in snow melting system for airfield runway using genetic algorithm: A case study in Beijing Daxing International Airport," Renewable Energy, Elsevier, vol. 201(P2), pages 100-116.
    3. Yu, Qinghua & Chen, Xi & Yang, Hongxing, 2021. "Research progress on utilization of phase change materials in photovoltaic/thermal systems: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    4. Lamnatou, Chr. & Vaillon, R. & Parola, S. & Chemisana, D., 2021. "Photovoltaic/thermal systems based on concentrating and non-concentrating technologies: Working fluids at low, medium and high temperatures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    5. Vassiliades, C. & Agathokleous, R. & Barone, G. & Forzano, C. & Giuzio, G.F. & Palombo, A. & Buonomano, A. & Kalogirou, S., 2022. "Building integration of active solar energy systems: A review of geometrical and architectural characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    6. Karol Bot & Laura Aelenei & Maria da Glória Gomes & Carlos Santos Silva, 2020. "Performance Assessment of a Building Integrated Photovoltaic Thermal System in Mediterranean Climate—A Numerical Simulation Approach," Energies, MDPI, vol. 13(11), pages 1-25, June.
    7. Abdelrazik, A.S. & Shboul, Bashar & Elwardany, Mohamed & Zohny, R.N. & Osama, Ahmed, 2022. "The recent advancements in the building integrated photovoltaic/thermal (BIPV/T) systems: An updated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    8. Skandalos, Nikolaos & Wang, Meng & Kapsalis, Vasileios & D'Agostino, Delia & Parker, Danny & Bhuvad, Sushant Suresh & Udayraj, & Peng, Jinqing & Karamanis, Dimitris, 2022. "Building PV integration according to regional climate conditions: BIPV regional adaptability extending Köppen-Geiger climate classification against urban and climate-related temperature increases," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    9. Ricardo A. Marques Lameirinhas & João Paulo N. Torres & João P. de Melo Cunha, 2022. "A Photovoltaic Technology Review: History, Fundamentals and Applications," Energies, MDPI, vol. 15(5), pages 1-44, March.

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