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Experimental modeling of the optical and energy performances of a point-focus CPV system applied to a residential user

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  • Renno, C.
  • Perone, A.

Abstract

There is not a standard configuration of Concentrating Photovoltaic (CPV) systems on the market because it must be defined according the user characteristics. Hence, it is important to evaluate the real optical and energy performances of CPV system to satisfy accurately the user energy demands. An experimental model able to calculate energy and optical performances of CPV system with Triple-Junction (TJ) cells, is presented in this paper. First, optical performances influencing the CPV system electrical producibility, are evaluated. Optical concentration factor (Copt) and optical efficiency are experimentally determined in terms of distance between TJ cell and optics. Successively, a black-box model able to link simultaneously TJ cell electrical power with Direct Normal Irradiation (DNI) and TJ cell temperature when Copt varies, is adopted; it is difficult to link these variables by means of a white-box model. This link is basic to evaluate the real CPV system performances when it is sized to match the user energy loads. Hence, the CPV system feasibility applied to 120 m2 residential user, is evaluated. The modules optimal number is defined to maximize the investment profitability. The modules optimal number is five with a Net Present Value equal to 7.2 k€.

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  • Renno, C. & Perone, A., 2021. "Experimental modeling of the optical and energy performances of a point-focus CPV system applied to a residential user," Energy, Elsevier, vol. 215(PA).
  • Handle: RePEc:eee:energy:v:215:y:2021:i:pa:s0360544220322635
    DOI: 10.1016/j.energy.2020.119156
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    1. Karathanassis, I.K. & Papanicolaou, E. & Belessiotis, V. & Bergeles, G.C., 2019. "Dynamic simulation and exergetic optimization of a Concentrating Photovoltaic/ Thermal (CPVT) system," Renewable Energy, Elsevier, vol. 135(C), pages 1035-1047.
    2. Carlo Renno, 2020. "Theoretical and Experimental Evaluation of the Working Fluid Temperature Levels in a CPV/T System," Energies, MDPI, vol. 13(12), pages 1-17, June.
    3. Burhan, Muhammad & Chua, Kian Jon Ernest & Ng, Kim Choon, 2016. "Sunlight to hydrogen conversion: Design optimization and energy management of concentrated photovoltaic (CPV-Hydrogen) system using micro genetic algorithm," Energy, Elsevier, vol. 99(C), pages 115-128.
    4. Daneshazarian, Reza & Cuce, Erdem & Cuce, Pinar Mert & Sher, Farooq, 2018. "Concentrating photovoltaic thermal (CPVT) collectors and systems: Theory, performance assessment and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 473-492.
    5. Despotovic, Milan & Nedic, Vladimir & Despotovic, Danijela & Cvetanovic, Slobodan, 2016. "Evaluation of empirical models for predicting monthly mean horizontal diffuse solar radiation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 246-260.
    6. Badakhshan, Sobhan & Hajibandeh, Neda & Shafie-khah, Miadreza & Catalão, João.P.S., 2019. "Impact of solar energy on the integrated operation of electricity-gas grids," Energy, Elsevier, vol. 183(C), pages 844-853.
    7. Almonacid, F. & Fernández, Eduardo F. & Rodrigo, P. & Pérez-Higueras, P.J. & Rus-Casas, C., 2013. "Estimating the maximum power of a High Concentrator Photovoltaic (HCPV) module using an Artificial Neural Network," Energy, Elsevier, vol. 53(C), pages 165-172.
    8. Baig, Hasan & Siviter, J. & Li, W. & Paul, M.C. & Montecucco, A. & Rolley, M.H. & Sweet, T.K.N. & Gao, M. & Mullen, P.A. & Fernandez, E.F. & Han, G. & Gregory, D.H. & Knox, A.R. & Mallick, Tapas, 2018. "Conceptual design and performance evaluation of a hybrid concentrating photovoltaic system in preparation for energy," Energy, Elsevier, vol. 147(C), pages 547-560.
    9. Li, Guiqiang & Xuan, Qingdong & Pei, Gang & Su, Yuehong & Ji, Jie, 2018. "Effect of non-uniform illumination and temperature distribution on concentrating solar cell - A review," Energy, Elsevier, vol. 144(C), pages 1119-1136.
    10. Fernández, Eduardo F. & Pérez-Higueras, P. & Almonacid, F. & Ruiz-Arias, J.A. & Rodrigo, P. & Fernandez, J.I. & Luque-Heredia, I., 2015. "Model for estimating the energy yield of a high concentrator photovoltaic system," Energy, Elsevier, vol. 87(C), pages 77-85.
    11. Kerzmann, Tony & Schaefer, Laura, 2012. "System simulation of a linear concentrating photovoltaic system with an active cooling system," Renewable Energy, Elsevier, vol. 41(C), pages 254-261.
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    3. Cameron, William James & Reddy, K. Srinivas & Mallick, Tapas Kumar, 2022. "Review of high concentration photovoltaic thermal hybrid systems for highly efficient energy cogeneration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
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    5. Waseem Iqbal & Irfan Ullah & Seoyong Shin, 2023. "Nonimaging High Concentrating Photovoltaic System Using Trough," Energies, MDPI, vol. 16(3), pages 1-15, January.
    6. Waseem Iqbal & Irfan Ullah & Seoyong Shin, 2023. "Optical Developments in Concentrator Photovoltaic Systems—A Review," Sustainability, MDPI, vol. 15(13), pages 1-25, July.
    7. Carlo Renno & Alessandro Perone & Diana D’Agostino & Francesco Minichiello, 2021. "Experimental and Economic Analysis of a Concentrating Photovoltaic System Applied to Users of Increasing Size," Energies, MDPI, vol. 14(16), pages 1-18, August.

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