Comparative Analysis of MCDM Methods for the Evaluation of Optimum Green Energy Sources

Research Anthology on Clean Energy Management and Solutions Pub Date : 1900-01-01 DOI:10.4018/978-1-7998-9152-9.ch011

Chiranjib Bhowmik, S. Dhar, A. Ray

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引用次数: 1

Abstract

The aim of this article is to select the optimum green energy sources for sustainable planning from a given set of energy alternatives. This study examines the combined behavior of multi-criteria decision-making approaches-TOPSIS, MOOSRA and COPRAS are used to evaluate the green energy sources–solar, hydro, biogas and biomass and to identify the optimum source by appraising its functioning features based on entropy probability technique. An illustrative case study is presented in order to demonstrate the application feasibility of the combined approaches for the ranking of optimum green energy sources. The analyzed results show that biogas is the optimum green energy source having the highest score value obtained by combined approaches. The sensitivity analysis shows the robustness of the combined approaches with the highest effectiveness. The study not only considers the various cost criteria but other actors like power generation, implementation period and useful life are also considered to select the optimum green energy sources for future project investment.

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最优绿色能源评价的MCDM方法比较分析

本文的目的是从一组给定的能源替代品中选择可持续规划的最佳绿色能源。本研究将topsis、MOOSRA和COPRAS等多准则决策方法应用于太阳能、水能、沼气和生物质等绿色能源的综合评价，并基于熵概率技术对其功能特征进行评价，以确定最优能源。通过实例分析，论证了综合方法在绿色能源优化排序中的应用可行性。分析结果表明，沼气是最优的绿色能源，综合评价得分最高。灵敏度分析表明，组合方法的鲁棒性最强，效果最好。该研究不仅考虑了各种成本标准，还考虑了发电量、实施期限和使用寿命等其他因素，为未来的项目投资选择最佳的绿色能源。

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Research Anthology on Clean Energy Management and Solutions

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