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The impact of solar radiation variability and data discrepancies on the design of PV systems

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  • Labed, S.
  • Lorenzo, E.

Abstract

Different information sources on solar radiation data are usually available for a same site. Significant discrepancies can be observed between these different sources, leading to a certain taste of incertitude. An in-depth analysis of such a problem reveals that this is coherent with the natural and unavoidable variability of the solar radiation phenomenon, and that all the information sources can be considered as equally confident.

Suggested Citation

  • Labed, S. & Lorenzo, E., 2004. "The impact of solar radiation variability and data discrepancies on the design of PV systems," Renewable Energy, Elsevier, vol. 29(7), pages 1007-1022.
  • Handle: RePEc:eee:renene:v:29:y:2004:i:7:p:1007-1022
    DOI: 10.1016/j.renene.2003.12.009
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    References listed on IDEAS

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    1. Benghanem, M. & Maafi, A., 1998. "Performance of stand-alone photovoltaic systems using measured meteorological data for Algiers," Renewable Energy, Elsevier, vol. 13(4), pages 495-504.
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    1. Casares, F.J. & Lopez-Luque, R. & Posadillo, R. & Varo-Martinez, M., 2014. "Mathematical approach to the characterization of daily energy balance in autonomous photovoltaic solar systems," Energy, Elsevier, vol. 72(C), pages 393-404.
    2. Sharples, Steve & Radhi, Hassan, 2013. "Assessing the technical and economic performance of building integrated photovoltaics and their value to the GCC society," Renewable Energy, Elsevier, vol. 55(C), pages 150-159.
    3. Habte, Aron & Sengupta, Manajit & Gueymard, Christian & Golnas, Anastasios & Xie, Yu, 2020. "Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998–2017)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    4. Posadillo, R. & López Luque, R., 2008. "Approaches for developing a sizing method for stand-alone PV systems with variable demand," Renewable Energy, Elsevier, vol. 33(5), pages 1037-1048.
    5. Zervas, P.L. & Sarimveis, H. & Palyvos, J.A. & Markatos, N.C.G., 2008. "Prediction of daily global solar irradiance on horizontal surfaces based on neural-network techniques," Renewable Energy, Elsevier, vol. 33(8), pages 1796-1803.
    6. Fernández-Infantes, Alberto & Contreras, Javier & Bernal-Agustín, José L., 2006. "Design of grid connected PV systems considering electrical, economical and environmental aspects: A practical case," Renewable Energy, Elsevier, vol. 31(13), pages 2042-2062.
    7. Dias, César Luiz de Azevedo & Castelo Branco, David Alves & Arouca, Maurício Cardoso & Loureiro Legey, Luiz Fernando, 2017. "Performance estimation of photovoltaic technologies in Brazil," Renewable Energy, Elsevier, vol. 114(PB), pages 367-375.
    8. Teodoro Adrada Guerra & Julio Amador Guerra & Beatriz Orfao Tabernero & Guillermo De la Cruz García, 2017. "Comparative Energy Performance Analysis of Six Primary Photovoltaic Technologies in Madrid (Spain)," Energies, MDPI, vol. 10(6), pages 1-23, June.
    9. Emmanuel, Michael & Akinyele, Daniel & Rayudu, Ramesh, 2017. "Techno-economic analysis of a 10 kWp utility interactive photovoltaic system at Maungaraki school, Wellington, New Zealand," Energy, Elsevier, vol. 120(C), pages 573-583.
    10. Aste, Niccolò & Del Pero, Claudio & Leonforte, Fabrizio & Manfren, Massimiliano, 2013. "A simplified model for the estimation of energy production of PV systems," Energy, Elsevier, vol. 59(C), pages 503-512.
    11. Quesada, B. & Sánchez, C. & Cañada, J. & Royo, R. & Payá, J., 2011. "Experimental results and simulation with TRNSYS of a 7.2Â kWp grid-connected photovoltaic system," Applied Energy, Elsevier, vol. 88(5), pages 1772-1783, May.
    12. Nghia-Hieu Nguyen & Bao-Chi Le & Le-Ngoc Nguyen & Thanh-Trung Bui, 2023. "Technical Analysis of the Large Capacity Grid-Connected Floating Photovoltaic System on the Hydropower Reservoir," Energies, MDPI, vol. 16(9), pages 1-29, April.
    13. Dusan Maga & Jaromir Hrad & Jiri Hajek & Akeel Othman, 2021. "Application of Minimum Energy Effect to Numerical Reconstruction of Insolation Curves," Energies, MDPI, vol. 14(17), pages 1-18, August.
    14. Bilbao, J. & Miguel, A., 2013. "Contribution to the study of UV-B solar radiation in Central Spain," Renewable Energy, Elsevier, vol. 53(C), pages 79-85.
    15. Liu, Xiaoying & Xu, Yinlong & Zhong, Xiuli & Zhang, Wenying & Porter, John Roy & Liu, Wenli, 2012. "Assessing models for parameters of the Ångström–Prescott formula in China," Applied Energy, Elsevier, vol. 96(C), pages 327-338.

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