Comparative study of solar flux using different empirical models at low land urban industrial zone of Biratnagar Nepal

Fauda Limbu, B. Tiwari, U. Joshi, Jeevan Regmi, Indra B. Karki, Khem N. Poudyal
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Abstract

Nepal is a developing country where sufficient clean energy is not available in our daily needs for cooking, lighting and other developmental activities. So, it is high time to promote clean and green energy, which is freely available in every corner of the country. In this regard, the present study helps to estimate the global solar radiation at the lowland region Biratnagar (lat. 26◦28′53′′N, long. 87◦15′50′′E and Alt. 72 m) using measured global solar radiation (GSR) and sunshine hours on empirical models. This paper uses the regression technique on two different empirical models Angstrom-Prescott(A-P) and Tiwari and Sangeeta, to estimate solar radiation. After analyzing the data on empirical models, the empirical constants 0.25 and 0.23 and 0.13 and 0.24 are found in A-P and Tiwari and Sangeeta models, respectively. The performance of the models was carried out by employing mean bias error (MBE), mean percentage error (MPE), root mean square error (RMSE) and adjusted coefficient of determination (R2). These statistical tools reveal that all these models are statistically significant. Such a study is relevant when reliable data for solar radiation is not adequately available. The findings of empirical coefficients can be utilized for predicting solar radiation and solar energy at similar geographical locations in Nepal.
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尼泊尔比拉特纳加尔低地城市工业区不同经验模式的太阳通量比较研究
尼泊尔是一个发展中国家,没有足够的清洁能源来满足我们烹饪、照明和其他发展活动的日常需求。因此,是时候推广清洁和绿色能源了,这种能源在国家的每个角落都是免费的。在这方面,本研究有助于估计比拉特纳加尔低地地区的全球太阳辐射。26◦28 53”N,长。87◦15 ' 50 " E和Alt. 72 m)使用测量的全球太阳辐射(GSR)和经验模式的日照时数。本文利用回归技术对Angstrom-Prescott(A-P)和Tiwari and Sangeeta两种不同的经验模型进行了太阳辐射的估计。对经验模型数据进行分析,A-P模型的经验常数分别为0.25和0.23,Tiwari和Sangeeta模型的经验常数分别为0.13和0.24。采用平均偏置误差(MBE)、平均百分比误差(MPE)、均方根误差(RMSE)和调整后的决定系数(R2)来评价模型的性能。这些统计工具表明,所有这些模型在统计上都是显著的。在没有足够可靠的太阳辐射数据的情况下,这样的研究是有意义的。经验系数的结果可用于预测尼泊尔类似地理位置的太阳辐射和太阳能。
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