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Monthly average daily global solar irradiation maps for Uganda: A location in the equatorial region

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  • Mubiru, J.
  • Banda, E.J.K.B.

Abstract

Proper sizing of solar energy systems is necessary in order to optimize their output. This requires a database of solar irradiation for locations for which the systems are being assessed. Solar irradiation data is also required in modeling a building’s thermal performance, as input into ecological and crop models and evaluation of long-term effects of climatological changes. Solar irradiation data can be provided through measurements. In Uganda, measurements of global solar irradiation have been carried out for a few locations because the measuring instruments are expensive to purchase and install. An alternative to obtaining solar irradiation data is to estimate it either by use of an appropriate solar irradiation model or interpolation of the few existing records. The present study attempted to draw global solar irradiation maps for Uganda. Global solar irradiation values were estimated for eight out of twelve stations using an artificial neural networks model proposed for Uganda. Measured values of monthly average daily global solar irradiation were used for the remaining four stations. The values for the twelve stations were then utilized for the interpolation using moving average method. The result is a set of twelve global solar irradiation maps for Uganda with relative errors in the range of 8%–16%.

Suggested Citation

  • Mubiru, J. & Banda, E.J.K.B., 2012. "Monthly average daily global solar irradiation maps for Uganda: A location in the equatorial region," Renewable Energy, Elsevier, vol. 41(C), pages 412-415.
    • Handle: RePEc:eee:renene:v:41:y:2012:i:c:p:412-415
    DOI: 10.1016/j.renene.2011.11.018
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    References listed on IDEAS

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    1. Alnaser, W.E. & Eliagoubi, B. & Al-Kalak, A. & Trabelsi, H. & Al-Maalej, M. & El-Sayed, H.M. & Alloush, M., 2004. "First solar radiation atlas for the Arab world," Renewable Energy, Elsevier, vol. 29(7), pages 1085-1107.
    2. De Miguel, A. & Bilbao, J. & Salsón, S. & Lage, A., 1994. "Solar radiation and sunshine hour maps in Castilla and León region (Spain)," Renewable Energy, Elsevier, vol. 4(8), pages 933-940.
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    1. David Puga-Gil & Gonzalo Astray & Enrique Barreiro & Juan F. Gálvez & Juan Carlos Mejuto, 2022. "Global Solar Irradiation Modelling and Prediction Using Machine Learning Models for Their Potential Use in Renewable Energy Applications," Mathematics, MDPI, vol. 10(24), pages 1-21, December.
    2. Moreno, A. & Gilabert, M.A. & Camacho, F. & Martínez, B., 2013. "Validation of daily global solar irradiation images from MSG over Spain," Renewable Energy, Elsevier, vol. 60(C), pages 332-342.

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