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Model for estimating the energy yield of a high concentrator photovoltaic system

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  • Fernández, Eduardo F.
  • Pérez-Higueras, P.
  • Almonacid, F.
  • Ruiz-Arias, J.A.
  • Rodrigo, P.
  • Fernandez, J.I.
  • Luque-Heredia, I.

Abstract

The prediction of the energy yield of HCPV (high concentrator photovoltaic) systems is crucial to evaluate the potential and promote the market expansion of HCPV technology. Currently, there is a lack of experience in the modelling of these kinds of systems due to the special features of such technology. In this work, a practical model based on simple mathematical expressions and atmospheric parameters is introduced. The proposed model takes into account the main important parameters which influence the output of a HCPV system such as cell temperature, spectrum and efficiency of the inverter and other losses of the BOS (balance of system). The results obtained are validated using the data of a HCPV installation located at the University of Jaen in southern Spain and monitored daily every minute since 2011. The model accurately predicts the monthly energy yield with a deviation ranging from 4.07% to −0.47% and the annual final energy yield with a deviation of 0.9%.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:87:y:2015:i:c:p:77-85
    DOI: 10.1016/j.energy.2015.04.095
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    2. Talavera, D.L. & Pérez-Higueras, P. & Almonacid, F. & Fernández, E.F., 2017. "A worldwide assessment of economic feasibility of HCPV power plants: Profitability and competitiveness," Energy, Elsevier, vol. 119(C), pages 408-424.
    3. Fernández, Eduardo F. & Talavera, D.L. & Almonacid, Florencia M. & Smestad, Greg P., 2016. "Investigating the impact of weather variables on the energy yield and cost of energy of grid-connected solar concentrator systems," Energy, Elsevier, vol. 106(C), pages 790-801.
    4. Rodrigo, P.M., 2020. "Balancing the shading impact in utility-scale dual-axis tracking concentrator photovoltaic power plants," Energy, Elsevier, vol. 210(C).
    5. 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).
    6. Almonacid, Florencia & Rodrigo, Pedro & Fernández, Eduardo F., 2016. "Determination of the current–voltage characteristics of concentrator systems by using different adapted conventional techniques," Energy, Elsevier, vol. 101(C), pages 146-160.
    7. Zhe Mi & Jikun Chen & Nuofu Chen & Yiming Bai & Wenwang Wu & Rui Fu & Hu Liu, 2016. "Performance Analysis of a Grid-connected High Concentrating Photovoltaic System under Practical Operation Conditions," Energies, MDPI, vol. 9(2), pages 1-12, February.
    8. Rahimat O. Yakubu & Maame T. Ankoh & Lena D. Mensah & David A. Quansah & Muyiwa S. Adaramola, 2022. "Predicting the Potential Energy Yield of Bifacial Solar PV Systems in Low-Latitude Region," Energies, MDPI, vol. 15(22), pages 1-17, November.

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