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Prediction of global radiation by means of the differential Ångstrom model

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  • Yeboah-Amankwah, D.
  • Agyeman, K.

Abstract

The differential Ångstrom model has been applied to transform the 1985–1987 sunshine records of Motupore Island to insolation data. The a and b regression parameters from the Waigani (UPNG) station, which is 15 km away, have been employed for this. The regression of the data calculated on the measured daily insolation shows a 0.90 regression coefficient, while that of the data calculated on the measured monthly mean daily insolation yields a high 0.98. The calculated insolation successfully predicts the measured mean daily insolation to within 5.5% at 99% level of confidence—a promising result, since the measured insolation is known to only 5%.

Suggested Citation

  • Yeboah-Amankwah, D. & Agyeman, K., 1991. "Prediction of global radiation by means of the differential Ångstrom model," Renewable Energy, Elsevier, vol. 1(5), pages 769-773.
    • Handle: RePEc:eee:renene:v:1:y:1991:i:5:p:769-773
    DOI: 10.1016/0960-1481(91)90025-K
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    References listed on IDEAS

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    1. Bahel, V. & Srinivasan, R. & Bakhsh, H., 1987. "Statistical comparison of correlations for estimation of global horizontal solar radiation," Energy, Elsevier, vol. 12(12), pages 1309-1316.
    2. Bahel, V. & Bakhsh, H. & Srinivasan, R., 1987. "A correlation for estimation of global solar radiation," Energy, Elsevier, vol. 12(2), pages 131-135.
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