The Efficiency Assessment of Renewable Energy Sources with Data Envelopment Analysis

机译：基于数据包络分析的可再生能源效率评估

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In this paper, we compare the efficiencies of seven primary renewable energy technologies that generate electricity. We use Data Envelopment Analysis (DEA) to determine the most efficient renewable energy source with predetermined input and output variables. We apply four different analytical approaches to rank these energy sources with respect to their efficiency scores. According to our analysis, geothermal is the most efficient and solar thermal technologies are the least efficient renewable energy sources.

机译：在本文中，我们比较了七种主要的可再生能源发电技术的效率。我们使用数据包络分析（DEA）来确定具有预定输入和输出变量的最有效可再生能源。我们采用四种不同的分析方法对这些能源的效率得分进行排名。根据我们的分析，地热是效率最高的，而太阳能技术是效率最低的可再生能源。

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《Decision Sciences Institute annual meeting》|2018年|1739-1751|共13页
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Umit Saglam;
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Data Envelopment Analysis (DEA); Efficiency Ranking; Electricity Generation; Multi-Criteria Decision Making; Renewable Energy Sources;

机译：数据包络分析（DEA）;效率排名;发电;多标准决策;可再生能源;

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The Efficiency Assessment of Renewable Energy Sources with Data Envelopment Analysis

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