Estimation of Renewable Solar Energy Source Using Grey Relational Analysis Method

Abstract

Solar energy heat and in various forms like light that reaches the earth this study shows. As this energy travels, Most of it is scattered, and is lost due to reflection and absorption by clouds. By satisfactorily harnessing solar energy Studies show that Because It is abundant in nature and free of cost It is a freely available source of energy. Second, it is a promising global energy source, because it's not over, solid and then other energy sources increase output performance. Creating sustainable energy resources One of the most urgent tasks of mankind, Because of the increasing energy demand With limited global fossil fuels is in serious conflict. Therefore, solar energy is clean, In an economical and convenient manner Effective use is a big challenge. This paper deals with multi-attribute decision making (MADM) for complications Gray uses Correlation Analysis (GRA) method. GRA method Advantages of using Includes the following: Results are based on original data, And the calculations are simple And easy to understand. In a business context helps in making management decisions. This is one of the best methods. Combined with improved gray correlation analysis using the gray model An integrated forecasting method. Integrating convolution technology, of the gray model establishing the right solution, applicability of the latter Improves greatly. Effects of time delay included in the study. Improved gray correlation analysis Consistency of the two factors is not only "in scale" but as the traditional gray correlation method does, it assumes "direction". The proposed integrated method, then the existing system Provides tremendous improvement. Objective of this thesis Finding the Solar energy and using Gray Relational Analysis (GRA) method showing GRA (Gray Relational Analysis) Method, Energy efficiency, Energy variability, Economic allocation, Investment cost, Technology maturity, CO2 emission, Ecosystem impact, Employment are Alternatives and Hydro, Wind, Wind, Biomass, the evaluation parameters reached by the handler. Energy efficiency is the first rank whereas Technology maturity is having the lowest rank. In this paper Solar Energy efficiency is the first rank whereas Technology maturity is having the lowest rank.