Estimation of Global Solar Radiations using Meteorological Data for Five Cities in India |
Author(s): |
Deepak Garg , PEC University of Technology, Chandigarh; Anil Kumar, PEC University of Technology, Chandigarh; Ankit Yadav, PEC University of Technology, Chandigarh; S K Soni, PEC University of Technology, Chandigarh |
Keywords: |
Mean Bias Error (MBE), Mean Percentage Error (MPE), Root Mean Square Error (RMSE) |
Abstract |
A lot of models had been formulated by various researchers to estimate the Global Solar Radiation (GSR) over a particular region from the available meteorological data. This data mainly includes measured GSR from site, sunshine hours and air temperature data. The models which were studied had considered sunshine hour data and temperature data separately. In the present work, the new models are developed based on sunshine hours, air temperature and a combined model is also proposed containing both sunshine hours and air temperature values to estimate GSR over Amritsar, Bhopal, New Delhi, Srinagar and Varanasi regions of India. Evaluation of proposed models has been made in terms of Mean Bias Error (MBE), Mean Percentage Error (MPE) and Root Mean Square Error (RMSE). The results shows an improvement in RMSE value when GSR is estimated by considering both sunshine hours and air temperature together. |
Other Details |
Paper ID: IJSRDV3I31010 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 1329-1331 |
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