Abstract
This study aims to determine or estimate solar radiation (Rs) for 20 meteorological stations in India and to compare Rs using six equations (Hargreaves, Allen, Hunt, Annandale, Li and sunshine hours based). The required data for the Rs estimation was extracted from CLIMWAT 2.0 software. The data contains a long-term monthly average of maximum air temperature (°C) and minimum air temperature (°C), relative humidity (%), sunshine hours (h/day), wind speed (km/day), effective rainfall (mm/month) and solar radiation (MJ m−2 d−1). The estimated values were compared with measured values using two performance indicators, viz. root-mean-squared error (RMSE) and modelling efficiency (ME). The result showed that the sunshine hour-based method performed best among the all Rs estimation methods at almost all stations (except Bangalore, Ludhiana and Silchar). Therefore, Rs estimation method is recommended for Indian locations. However, both the Annandale and Hargreaves methods are performed better than other methods.
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Adamala, S., Krishna Reddy, Y.V. (2019). Evaluation of Different Solar Radiation Estimation Methods for Indian Locations. In: Rathinasamy, M., Chandramouli, S., Phanindra, K., Mahesh, U. (eds) Water Resources and Environmental Engineering II. Springer, Singapore. https://doi.org/10.1007/978-981-13-2038-5_5
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