Sunshine based models for estimation of monthly mean daily global solar radiation (Case studies of north eastern location (Patna) in India)

In learning of solar energy utilization, one should know about global solar radiation data precisely and it is compulsory on behalf of optimal design and evaluation of the performance of any solar energy conversion system. In this topic, a north-eastern location in India (Patna) as case studies, six models based on empirical formula are like quadratic, cubic, logarithmic, exponential and exponent i.e. derivative of Angstrom- Prescott obtained linear regression model; relating the global solar radiation data with the sunshine data. Estimate the coefficients (constants) of different models by the curve estimation technique with the help of curve fitting in MATLAB. Utilizing seven statistical indicators, correlation among estimated and determined global solar radiation has been performed. As a result, the quadratic model is obtained as the most appropriate for the expectation of solar radiation in Patna. Also, this model may then be utilized for areas in India with comparative meteorological and geological attributes at which sun-based information is not available.