Thursday, August 24th, 2017

Fuzzy logic based modeling and estimation of global solar energy using meteorological parameters

Publication date: Available online 10 May 2014
Author(s): M. Rizwan , Majid Jamil , Sheeraz Kirmani , D.P. Kothari
Global solar energy data is considered as the most important parameter in smart grid applications, particularly for sizing the photovoltaic system and demand driven supply. However the data of global solar energy is rarely available on hourly basis, even for those stations where measurement has already been done. Due to lack of such measured data, the estimation of global solar energy at the earth’s surface is an important study in the present scenario to meet the energy requirement from green energy sources. This paper is based on fuzzy logic approach for modeling and estimating the global solar energy using mean duration sunshine per hour, temperature, latitude, longitude, altitude and months of the year as input parameters. Fortunately, these important for accurate parameters estimation of solar energy are commonly available. Results obtained from fuzzy logic approach are used for the prediction of SPV system output for smart grid application.

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