GIS-based onshore wind farm site selection using Fuzzy Multi-Criteria Decision Making methods. Evaluating the case of Southeastern Spain

被引:184
作者
Sanchez-Lozano, J. M. [1 ]
Garcia-Cascales, M. S. [2 ]
Lamata, M. T. [3 ]
机构
[1] Univ Politecn Cartagena, Acad Gen Aire, Ctr Univ Def, Murcia, Spain
[2] Univ Politecn Cartagena UPCT, Dept Elect Tecnol Comp & Proyectos, Murcia, Spain
[3] Univ Granada, Dept Ciencias Comp & Inteligencia Artificial, Granada, Spain
关键词
Onshore wind farm; Geographic information systems; Multi-Criteria Decision Making (MCDM); Linguistic labels; Fuzzy Analytic Hierarchy Process (FAHP); Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS); ANALYTIC HIERARCHY PROCESS; INFORMATION-SYSTEM; TRAINING AIRCRAFT; LOCATIONS; TOPSIS; CRITERIA; CHOICE; PLANTS;
D O I
10.1016/j.apenergy.2016.03.030
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
When it is necessary to select the best location to implant an onshore wind farm, the criteria that influence the decision-making are not always numerical values but can also include qualitative criteria in the form of labels or linguistic variables which can be represented through fuzzy membership. In this paper, some fuzzy approaches of different Multi-Criteria Decision Making (MCDM) methods are combined in order to deal with a trending decision problem such as onshore wind farm site selection. More specifically, the Fuzzy Analytic Hierarchy Process (FAHP) is applied to obtain the weights of the criteria, whereas the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is used to evaluate the alternatives. A Geographic Information System (GIS) is applied to obtain the database of the alternatives and criteria which are transformed in a fuzzy decision matrix through triangular fuzzy numbers. The coast of the Murcia Region, located at the Southeast of Spain, has been chosen as the study area to carry out this evaluation. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:86 / 102
页数:17
相关论文
共 57 条
[1]   Wind farm land suitability indexing using multi-criteria analysis [J].
Al-Yahyai, Sultan ;
Charabi, Yassine ;
Gastli, Adel ;
Al-Badi, Abdullah .
RENEWABLE ENERGY, 2012, 44 :80-87
[2]   Consistency in the analytic hierarchy process: A new approach [J].
Alonso, Jose Antonio ;
Lamata, M. Teresa .
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2006, 14 (04) :445-459
[3]  
[Anonymous], WIND RES STUD DEV WI
[4]  
[Anonymous], EN FUT REN SOURC EN
[5]  
[Anonymous], MESS PART EARL SUBM
[6]  
[Anonymous], FRAM CONV CLIM CHANG
[7]  
[Anonymous], REN EN PLAN PER 2005
[8]  
[Anonymous], 1999, COMPUTING WORDS IN 1
[9]  
[Anonymous], REN EN PLAN PANER 20
[10]  
[Anonymous], WIND POW 2013 EUR ST