Invertis Journal of Renewable Energy
  • Year: 2012
  • Volume: 2
  • Issue: 4

Application of Fuzzy Logic for Solar Radiation Prediction

  • Author:
  • Saurabh Bhardwaj1,, Smriti Srivastava1, O.S. Sastri2
  • Total Page Count: 8
  • Page Number: 191 to 198

1Department of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, Sector-3, Dwarka, New Delhi - 110 078

2Solar Energy Centre, Ministry of New and Renewable Energy, New Delhi - 110 00

*E-mail: bsaurabh2078@gmail.com

Online published on 10 August, 2015.

Abstract

Due to the increasing requirement for the design, optimization and performance evaluation of the solar energy systems modeling and prediction of solar radiation is of considerable importance. A number of solar radiation prediction models have been developed, ranging from simple empirical models to very complicated computer coded models. This paper presents Generalized Fuzzy Model (GFM) based paradigm for the prediction of solar radiation. For collecting the meteorological parameters a test bed is made at Solar Energy Center, Gurgaon, India. The proposed model is applied on four different sets comprising of various combination of input meteorological parameters (Day of the year, sun shine hour, ambient temperature, relative humidity and atmospheric pressure). The results of prediction are encouraging.

Keywords

Solar radiation prediction, generalized fuzzy model