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A three-point-based electrical model and its application in a photovoltaic thermal hybrid roof-top system with crossed compound parabolic concentrator

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Listed:
  • Li, W.
  • Paul, M.C.
  • Baig, H.
  • Siviter, J.
  • Montecucco, A.
  • Mallick, T.K.
  • Knox, A.R.

Abstract

A new coupled optical, thermal and electrical model is presented in this study and applied to a concentrating photovoltaic thermal (PV/T) system for predicting the system performance under various operational conditions. Firstly, a three-point-based electrical model and a method for extracting its five model parameters are developed by using the currents and voltages at the short-, open-circuit and maximum power points provided in usual PV module/panel datasheets. Then, the model and method are validated with the existing six flat-plate PV modules and subsequently are used to predict the hourly electrical performance of the CPV/T roof-top system designed by us under outdoor conditions on four clear days by integrating with a scaling law developed by us. Additionally, transient effect and water temperature on the storage tank are examined. It turned out that the CPV system could operate for 6 h a day with a peak instant electrical power of 50W/m2 and could generate 0.22kWh/m2 electricity a day in May–July. The error in hourly electrical energy gained between the predictions and observations is in a range of (3.64–8.95)% with the mean of 5.53% in four days, and the estimated water temperature in the storage tank agrees with the monitored one in range of 0.2–1 °C. The proposed methods as well as the electrical models could potentially be applied widely across the solar energy field for the management and operation of the electrical energy production from any CPV/T roof-top system.

Suggested Citation

  • Li, W. & Paul, M.C. & Baig, H. & Siviter, J. & Montecucco, A. & Mallick, T.K. & Knox, A.R., 2019. "A three-point-based electrical model and its application in a photovoltaic thermal hybrid roof-top system with crossed compound parabolic concentrator," Renewable Energy, Elsevier, vol. 130(C), pages 400-415.
    • Handle: RePEc:eee:renene:v:130:y:2019:i:c:p:400-415
    DOI: 10.1016/j.renene.2018.06.021
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    References listed on IDEAS

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    1. Carrero, C. & Ramírez, D. & Rodríguez, J. & Platero, C.A., 2011. "Accurate and fast convergence method for parameter estimation of PV generators based on three main points of the I–V curve," Renewable Energy, Elsevier, vol. 36(11), pages 2972-2977.
    2. de Blas, M.A & Torres, J.L & Prieto, E & Garcı́a, A, 2002. "Selecting a suitable model for characterizing photovoltaic devices," Renewable Energy, Elsevier, vol. 25(3), pages 371-380.
    3. Wang, Gang & Zhao, Ke & Shi, Jiangtao & Chen, Wei & Zhang, Haiyang & Yang, Xinsheng & Zhao, Yong, 2017. "An iterative approach for modeling photovoltaic modules without implicit equations," Applied Energy, Elsevier, vol. 202(C), pages 189-198.
    4. Celik, Ali Naci & Acikgoz, NasIr, 2007. "Modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules using four- and five-parameter models," Applied Energy, Elsevier, vol. 84(1), pages 1-15, January.
    5. Senturk, A. & Eke, R., 2017. "A new method to simulate photovoltaic performance of crystalline silicon photovoltaic modules based on datasheet values," Renewable Energy, Elsevier, vol. 103(C), pages 58-69.
    6. Lo Brano, Valerio & Ciulla, Giuseppina, 2013. "An efficient analytical approach for obtaining a five parameters model of photovoltaic modules using only reference data," Applied Energy, Elsevier, vol. 111(C), pages 894-903.
    7. Carrero, C. & Rodríguez, J. & Ramírez, D. & Platero, C., 2010. "Simple estimation of PV modules loss resistances for low error modelling," Renewable Energy, Elsevier, vol. 35(5), pages 1103-1108.
    8. Orioli, Aldo & Di Gangi, Alessandra, 2013. "A procedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data," Applied Energy, Elsevier, vol. 102(C), pages 1160-1177.
    9. Sellami, Nazmi & Mallick, Tapas K., 2013. "Optical efficiency study of PV Crossed Compound Parabolic Concentrator," Applied Energy, Elsevier, vol. 102(C), pages 868-876.
    10. Li, W. & Paul, M.C. & Rolley, M. & Sweet, T. & Gao, M. & Baig, H. & Fernandez, E.F. & Mallick, T.K. & Montecucco, A. & Siviter, J. & Knox, A.R. & Han, G. & Gregory, D.H. & Azough, F. & Freer, R., 2017. "A coupled optical-thermal-electrical model to predict the performance of hybrid PV/T-CCPC roof-top systems," Renewable Energy, Elsevier, vol. 112(C), pages 166-186.
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    Cited by:

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    6. Li, Lanyu & Yao, Zhiyi & You, Siming & Wang, Chi-Hwa & Chong, Clive & Wang, Xiaonan, 2019. "Optimal design of negative emission hybrid renewable energy systems with biochar production," Applied Energy, Elsevier, vol. 243(C), pages 233-249.

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