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Predicting average energy conversion of photovoltaic system in Malaysia using a simplified method

Author

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  • Alamsyah, T.M.I.
  • Sopian, K.
  • Shahrir, A.

Abstract

This paper is about predicting the average conventional energy conversion by a photovoltaic system in Malaysia. The calculation is based on average number of days in a month. Average hourly energy flows are estimated based on knowledge of array test parameters, monthly average of hourly ambient temperature and monthly average of daily hemispherical radiation. The monthly average of diffuse component of radiation can be predicted based on hemispherical radiation, by using an appropriate empirical correlation related to the monthly average of diffuse fraction to monthly average of clearness index. The values of hourly average radiation are estimated based on a statistical model.

Suggested Citation

  • Alamsyah, T.M.I. & Sopian, K. & Shahrir, A., 2004. "Predicting average energy conversion of photovoltaic system in Malaysia using a simplified method," Renewable Energy, Elsevier, vol. 29(3), pages 403-411.
    • Handle: RePEc:eee:renene:v:29:y:2004:i:3:p:403-411
    DOI: 10.1016/S0960-1481(03)00141-1
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    Cited by:

    1. Alberto Dolara & Francesco Grimaccia & Sonia Leva & Marco Mussetta & Emanuele Ogliari, 2015. "A Physical Hybrid Artificial Neural Network for Short Term Forecasting of PV Plant Power Output," Energies, MDPI, vol. 8(2), pages 1-16, February.

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