Estimation of Global Solar Radiation using Angstrom and Gopinathan Model on Sunshine Hour and Temperature in Highland, Nepal

Jayanta Saud, P. M. Shrestha, U. Joshi, B. Tiwari, I. B. Karki, K. Poudyal
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Abstract

In developing countries like Nepal, the direct measurement of global solar radiation (GSR) is difficult. So, the estimation of GSR is carried out at Jumla (29°16′ N, 82° 11′ E and about 2347 m altitude) for the year 2015 and 2017 using regression technique to the meteorological parameters on Angstrom model, Gopinathan and Olomiyesan- Oyedum models. Among three models, Olomiyesan and Oyedum model is better than other models. Its empirical constants a=0.38, b=0.10 and c=0.09 are found. The values of statistical errors MBE, MPE and RMSE are smaller than other models. Similarly, the coefficient of determination (R2=0.89) is greater than other models. Finally, the finding empirical constants and meteorological parameters sunshine hour, and temperature are used to estimate the GSR for the year 2017. In addition to this, the annual average GSR for the year 2015 and 2017 are found to be 18.86 MJ/m2/day and 17.50 MJ/m2/day respectively. It is concluded that the finding empirical constants are used to estimate the GSR and solar energy at similar geographical location of Nepal.
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利用Angstrom和Gopinathan模式估算尼泊尔高原日照时数和温度的全球太阳辐射
在尼泊尔这样的发展中国家,直接测量全球太阳辐射(GSR)是困难的。因此,利用Angstrom模式、Gopinathan模式和Olomiyesan- Oyedum模式的气象参数回归技术,对2015年和2017年在Jumla(29°16’N, 82°11’E,海拔约2347 m)的GSR进行了估算。在三种模型中,Olomiyesan和Oyedum模型优于其他模型。得到其经验常数a=0.38, b=0.10, c=0.09。统计误差MBE、MPE和RMSE值均小于其他模型。同样,决定系数(R2=0.89)也大于其他模型。最后,利用观测到的经验常数和气象参数日照时数、气温对2017年的GSR进行估算。此外,2015年和2017年的年平均GSR分别为18.86 MJ/m2/day和17.50 MJ/m2/day。所得经验常数可用于估算尼泊尔相似地理位置的GSR和太阳能。
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