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Development of energy model based on total daily irradiation and maximum ambient temperature

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  • Meyer, E.L
  • van Dyk, E.E

Abstract

To predict the energy produced by photovoltaic modules under certain meteorological conditions, an energy model can be used. Existing energy models need parameters that are not always available. In this study, an energy model based on regression analysis of total daily irradiation and maximum daily ambient temperature is developed. This model is able to predict daily module energy based on these two parameters only. The data used in this study were collected over a 15-month period at the University of Port Elizabeth (UPE), South Africa. The developed model was first compared to two existing energy models using data collected over the month of October 1998. Its validity was then evaluated over the entire 15-month period using seasonal regression coefficients. An application of the model to predict module energy output is illustrated by using data collected at the South African Weather Bureau (SAWB), Port Elizabeth (PE) station. The predicted energy is then compared to the energy measured at UPE. Results obtained show that the developed model is valid and a good predictor of module energy.

Suggested Citation

  • Meyer, E.L & van Dyk, E.E, 2000. "Development of energy model based on total daily irradiation and maximum ambient temperature," Renewable Energy, Elsevier, vol. 21(1), pages 37-47.
    • Handle: RePEc:eee:renene:v:21:y:2000:i:1:p:37-47
    DOI: 10.1016/S0960-1481(99)00124-X
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    Citations

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    Cited by:

    1. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    2. Senturk, Ali, 2020. "Investigation of datasheet provided temperature coefficients of photovoltaic modules under various sky profiles at the field by applying a new validation procedure," Renewable Energy, Elsevier, vol. 152(C), pages 644-652.
    3. 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.
    4. Cañete, Cristina & Carretero, Jesús & Sidrach-de-Cardona, Mariano, 2014. "Energy performance of different photovoltaic module technologies under outdoor conditions," Energy, Elsevier, vol. 65(C), pages 295-302.
    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. Park, Nochang & Kim, Ju-Hee & Kim, Hyun-A. & Moon, Jin-Chel, 2017. "Development of an algebraic model that predicts the maximum power output of solar modules including their degradation," Renewable Energy, Elsevier, vol. 113(C), pages 141-147.
    7. Muñoz, J.V. & Nofuentes, G. & Fuentes, M. & de la Casa, J. & Aguilera, J., 2016. "DC energy yield prediction in large monocrystalline and polycrystalline PV plants: Time-domain integration of Osterwald's model," Energy, Elsevier, vol. 114(C), pages 951-960.
    8. Eltawil, Mohamed A. & Zhao, Zhengming, 2010. "Grid-connected photovoltaic power systems: Technical and potential problems--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 112-129, January.
    9. Ke Shi & Chuangyi Li & Choongwan Koo, 2021. "A Techno-Economic Feasibility Analysis of Mono-Si and Poly-Si Photovoltaic Systems in the Rooftop Area of Commercial Building under the Feed-In Tariff Scheme," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
    10. Celik, A.N., 2003. "Long-term energy output estimation for photovoltaic energy systems using synthetic solar irradiation data," Energy, Elsevier, vol. 28(5), pages 479-493.
    11. 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.
    12. Cuce, Erdem & Cuce, Pinar Mert, 2013. "A comprehensive review on solar cookers," Applied Energy, Elsevier, vol. 102(C), pages 1399-1421.
    13. van Dyk, E.E & Meyer, E.L & Vorster, F.J & Leitch, A.W.R, 2002. "Long-term monitoring of photovoltaic devices," Renewable Energy, Elsevier, vol. 25(2), pages 183-197.

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