Energy sources evaluation based on multi-criteria decision support approach in China

Sustainable Horizons Pub Date : 2022-03-01 DOI:10.1016/j.horiz.2022.100017

Song-Shun Lin , Shui-Long Shen , Annan Zhou

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Abstract

This study aims to develop a comprehensive evaluation approach to analyze and grade the energy sources based on statistical data. A brief bibliometric analysis for energy sources evaluation shows that clean, sustainable and environment friendly of energy development is the main trend. Four kinds of energy sources including raw coal, crude oil, natural gas and electricity, are analyzed. The approach is developed based on the extended technique for order performance by similarity to ideal solution (TOPSIS) and criteria importance through inter-criteria correlation (CRITIC). The CRITIC method is utilized to assign the weights of attributes and the extended TOPSIS is applied to grade the energy sources. An example about energy sources evaluation in China is adopted. Results show that non-renewable energy sources (raw coal and crude oil), are main energy sources from 2010 to 2018. Additionally, the correlation analysis and sensitivity studies are presented to illustrate the feasibility of the developed approach. Developed approach provides a tool in energy sources analysis.

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基于多准则决策支持方法的中国能源评价

本研究旨在建立一种基于统计数据的综合评价方法，对能源进行分析和分级。对能源评价的文献计量分析表明，清洁、可持续和环境友好的能源发展是主要趋势。分析了原煤、原油、天然气和电力等四种能源。该方法是基于基于理想解的相似性(TOPSIS)和基于标准间相关性(CRITIC)的标准重要性的扩展技术发展起来的。利用CRITIC方法对属性进行权重分配，并利用扩展TOPSIS对能源进行分级。以中国能源评价为例。结果表明，2010 - 2018年，不可再生能源(原煤和原油)是主要的能源来源。此外，还通过相关分析和敏感性研究来说明所开发方法的可行性。该方法为能源分析提供了一种工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sustainable Horizons

CiteScore

6.60

自引率

0.00%

发文量