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Global solar radiation estimation by Iranna-Bapat's models for India

机译:通过Irana-Bapat模型对印度的全球太阳辐射估算

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Estimation of solar radiation is considered as the most important parameter for the design and development of various solar energy systems. But, the availability of the required data is very scarce and often not readily accessible. The foremost objective of the present study was to estimate the monthly average global solar radiation (GSR) at various locations for India, by the generalized Iranna-Bapat''s model. Iranna-Bapat''s model is developed to estimate the value of global solar radiation at any location on earth surface. This model uses the most commonly measurable meteorological parameters such as ambient temperature, humidity, wind-speed, moisture for a given location. A total of 57 locations spread across India are used to validate this model. The computed values from Iranna-Bapat''s model are compared with the measured values. Iranna-Bapat''s model demonstrated acceptable results, and statistically displayed lower RMSE (<10%) for many locations. Therefore this model could be a good estimator for predicting the global solar radiation at other locations for India, where such data is not available.
机译:太阳辐射的估计被认为是设计和开发各种太阳能系统的最重要参数。但是,所需数据的可用性非常稀缺,而且通常不容易获得。本研究的首要目标是通过广义的Iranna-Bapat模型估算印度各个位置的月平均全球太阳辐射(GSR)。 Iranna-Bapat模型的开发是为了估计地球表面任何位置的全球太阳辐射值。该模型使用给定位置的最常见的气象参数,例如环境温度,湿度,风速,湿度。整个印度共有57个地点用于验证此模型。将Iranna-Bapat模型的计算值与测量值进行比较。 Iranna-Bapat的模型显示出可接受的结果,并在许多地方统计显示出较低的RMSE(<10%)。因此,该模型可以很好地预测印度其他没有此类数据的地点的全球太阳辐射。

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