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Impact of time interval on the Ångström-Prescott coefficients and their interchangeability in estimating radiation

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  • Li, Mao-Fen
  • Fan, Li
  • Liu, Hong-Bin
  • Wu, Wei
  • Chen, Ji-Long

Abstract

The Ångström-Prescott (A-P) model, a highly rated model, has been widely used to estimate global solar radiation (H) at daily or monthly scales in different locations around the world. However, few studies focused on the interchangeability of the A-P coefficients at different time scales, especially finer scales. The objectives of this work were to determine the A-P coefficients at daily (TS1), 5-day (TS2), 10-day (TS3), and monthly (TS4) time scales and to investigate the variations of the A-P coefficients caused by the time intervals and how this variations impacts on H estimation. Long-term records of H (1961-2000) from a total of 15 stations in the Yangtze River basin were used in the present study. The model performance was evaluated using root mean squared error (RMSE), coefficient of determination (R2), mean absolute difference (MAD), and Pearson coefficient. Better fit were found at time scales of TS2 and TS3 (R2 = 0.86 and 0.84, respectively) between the observed and predicted H. For each station, slight differences existed between the coefficients at the studied time scales. In general, the difference in coefficients increased with the increased of time interval from TS1 to TS2, TS3 and TS4. The largest differences in the coefficients were found between TS1 and TS4. Nevertheless, further analysis demonstrated that the coefficients calibrated at finer time scale could be applied to estimate H at larger time scales with an acceptable accuracy, and vice versa. The results have significant implications to facilitate the calibration and choice of the A-P coefficients.

Suggested Citation

  • Li, Mao-Fen & Fan, Li & Liu, Hong-Bin & Wu, Wei & Chen, Ji-Long, 2012. "Impact of time interval on the Ångström-Prescott coefficients and their interchangeability in estimating radiation," Renewable Energy, Elsevier, vol. 44(C), pages 431-438.
    • Handle: RePEc:eee:renene:v:44:y:2012:i:c:p:431-438
    DOI: 10.1016/j.renene.2012.01.107
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    References listed on IDEAS

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    1. Chen, Ji-Long & Liu, Hong-Bin & Wu, Wei & Xie, De-Ti, 2011. "Estimation of monthly solar radiation from measured temperatures using support vector machines – A case study," Renewable Energy, Elsevier, vol. 36(1), pages 413-420.
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    Cited by:

    1. Wu, Wei & Tang, Xiao-Ping & Yang, Chao & Guo, Nai-Jia & Liu, Hong-Bin, 2013. "Spatial estimation of monthly mean daily sunshine hours and solar radiation across mainland China," Renewable Energy, Elsevier, vol. 57(C), pages 546-553.
    2. Ping-Huan Kuo & Hsin-Chuan Chen & Chiou-Jye Huang, 2018. "Solar Radiation Estimation Algorithm and Field Verification in Taiwan," Energies, MDPI, vol. 11(6), pages 1-12, May.

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