Abstract
Rational and accurate solar energy databases, essential for designing, sizing and performing the solar energy systems in any part of the world, are not easily accessible in different localities of Nepal. In this study, daily global solar radiation, sunshine hours and meteorological data for Biratnagar, Kathmandu, Pokhara and Jumla have been used to derive the regression constants. The linear regression technique has been used to develop a model for Biratnagar, Kathmandu, Pokhara and Jumla. The model has calculated the global solar radiation for these locations. The values of global solar radiation estimated by the model are found to be in close agreement with measured values of respective sites. The estimated values were compared with Angstrom-Prescott model and examined using the root mean square error (RMSE), mean bias error (MBE), mean percentage error (MPE), coefficient of regression (R), coefficient of determinant (R2) and correlation coefficient (CC) statistical techniques. Thus, the resultant correlations and linear regression relations may be then used for the locations of similar meteorological/geographical characteristics and also can be used to estimate the missing data of solar radiation for the respective site.
Highlights
Nepal is a land-locked mountainous country with a large area of beautiful landscape situated between 26 ̊22' to 30 ̊27' North latitude and 80 ̊40' to 80 ̊12' East longitude within a span of 200 km from south to north and about 800 km from east to west [1]
The values of global solar radiation estimated by the model are found to be in close agreement with measured values of respective sites
The estimated values were compared with Angstrom-Prescott model and examined using the root mean square error (RMSE), mean bias error (MBE), mean percentage error (MPE), coefficient of regression (R), coefficient of determinant (R2) and correlation coefficient (CC) statistical techniques
Summary
Nepal is a land-locked mountainous country with a large area of beautiful landscape situated between 26 ̊22' to 30 ̊27' North latitude and 80 ̊40' to 80 ̊12' East longitude within a span of 200 km from south to north and about 800 km from east to west [1]. The electricity consumption and the number of consumers increase at a rate of approximately 9% per year [4] whereas generation of additional power plant is almost in stagnant situation. This gap between supply and demand in power sector forces Nepal Electricity Authority into load-shedding from 4 hours to 16 hours per day in spring and dry season respectively [5]
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