The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review

被引：121
|
作者：
Elena Arce, Maria [1 ]
Saavedra, Angeles [2 ]
Miguez, Jose L. [3 ]
Granada, Enrique [3 ]
机构：
[1] Univ Vigo, Spanish Naval Acad, Def Univ Ctr, Marin Pontevedra 36920, Spain
[2] Univ Vigo, ETS Ingn Minas, Vigo 36310, Spain
[3] Univ Vigo, ETS Ingenieros Ind, Vigo 36310, Spain
来源：
RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 2015年 / 47卷
关键词：
Sustainable energy; Multi-criteria decision analysis (MCDA); Grey-based analysis; Energy systems; MULTIPLE QUALITY CHARACTERISTICS; RELATIONAL ANALYSIS; MULTIOBJECTIVE OPTIMIZATION; RENEWABLE ENERGY; DELPHI METHOD; MORPHOLOGICAL CHARACTERIZATION; GENERATION SECTOR; TAGUCHI METHOD; MAKING MODEL; FUZZY-AHP;
D O I：
10.1016/j.rser.2015.03.010
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The European energy system is characterized by a high dependence on fossil fuels and energy importation. Renewable energies are a solution to this issue. To change the energy supply, it is necessary to analyze the energy system. Thus, decision-makers face a multi-attribute decision problem. Many sustainable energy systems analyses are characterized by multiple, interrelated parameters and vague information. When the information is vague, it is necessary to implement multi-criteria decision analysis (MCDA) tools that can work with poor data systems. This article reviews appropriated methods and different stages of MCDA problems using grey relation methods (i.e., criteria selection and weighting methods). It is observed that technical criteria are the most evaluated parameters, followed by environmental criteria, in terms of gas emissions. In referring to criteria weighting, the analytical hierarchy process is the most popular tool, especially when it is essential to evaluate the opinion of an expert panel. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码：924 / 932
页数：9
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