A study on site selection of wind power plant based on prospect theory and VIKOR: a case study in China

被引:6
|
作者
Zhao, Hui [1 ]
Wang, Simeng [1 ]
Lu, Chen [1 ]
机构
[1] Qingdao Univ Technol, Sch Management Engn, Qingdao, Peoples R China
关键词
WPP; Site selection; DEMATEL; EW; Prospect theory; VIKOR; MULTICRITERIA DECISION-MAKING; PERFORMANCE EVALUATION; ENERGY; MODEL; FARM; STATION; EUROPE;
D O I
10.1108/K-01-2024-0022
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
PurposeWith the continuous development of the wind power industry, wind power plant (WPP) has become the focus of resource development within the industry. Site selection, as the initial stage of WPP development, is directly related to the feasibility of construction and the future revenue of WPP. Therefore, the purpose of this paper is to study the siting of WPP and establish a framework for siting decision-making.Design/methodology/approachFirstly, a site selection evaluation index system is constructed from four aspects of economy, geography, environment and society using the literature review method and the Delphi method, and the weights of each index are comprehensively determined by combining the Decision-making Trial and Evaluation Laboratory (DEMATEL) and the entropy weight method (EW). Then, prospect theory and the multi-criteria compromise solution ranking method (VIKOR) are introduced to rank the potential options and determine the best site.FindingsChina is used as a case study, and the robustness and reliability of the methodology are demonstrated through sensitivity analysis, comparative analysis and ablation experiment analysis. This paper aims to provide a useful reference for WPP siting research.Originality/valueIn this paper, DEMATEL and EW are used to determine the weights of indicators, which overcome the disadvantage of single assignment. Prospect theory and VIKOR are combined to construct a decision model, which also considers the attitude of the decision-maker and the compromise solution of the decision result. For the first time, this framework is applied to WPP siting research.
引用
收藏
页数:24
相关论文
共 50 条
  • [21] A BWM-GIS Based Approach for Wind Power Plant WPP) Site Selection: Sample of Tunceli
    Konurhan, Zekeriya
    Basaran, Erkin
    JOURNAL OF GEOGRAPHY-COGRAFYA DERGISI, 2023, (47): : 15 - 28
  • [22] Multi-factorial methodology for Wind Power Plant repowering optimization: A Spanish case study
    Garcia, Isabel C. Gil
    Fernandez-Guillamon, Ana
    Garcia-Cascales, M. Socorro
    Molina-Garcia, Angel
    ENERGY REPORTS, 2024, 11 : 179 - 196
  • [23] Site Selection of Solar Power Plants Using Hybrid MCDM Models: A Case Study in Indonesia
    Wang, Chia-Nan
    Chung, Yu-Chi
    Wibowo, Fajar Dwi
    Dang, Thanh-Tuan
    Nguyen, Ngoc-Ai-Thy
    ENERGIES, 2023, 16 (10)
  • [24] Cloud-based decision framework for waste-to-energy plant site selection - A case study from China
    Wu, Yunna
    Chen, Kaifeng
    Zeng, Bingxin
    Yang, Meng
    Geng, Shuai
    WASTE MANAGEMENT, 2016, 48 : 593 - 603
  • [25] Forecasting of Wind Speed at Offshore Wind Site - A Case Study
    Kishore, Nandha S. R.
    Thakur, Mainak
    Mandal, Subhojit
    OCEANS 2022, 2022,
  • [26] Optimal site selection for wind power plant using multi-criteria decision-making methods: A case study in eastern Iran
    Alavi, Seyed Mohammad Seyed
    Maleki, Akbar
    Khaleghi, Ali
    INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES, 2022, 17 : 1319 - 1337
  • [27] An extended VIKOR-based approach for pumped hydro energy storage plant site selection with heterogeneous information
    Wu Y.
    Liu L.
    Gao J.
    Chu H.
    Xu C.
    Xu, Chuanbo (18810736266@163.com), 1600, MDPI AG (08):
  • [29] Integration of LCSA and GIS-based MCDM for sustainable landfill site selection: a case study
    Mozaffari, Mehdi
    Bemani, Akram
    Erfani, Malihe
    Yarami, Najmeh
    Siyahati, Gholamreza
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (04)
  • [30] A novel hybrid MCDM approach for offshore wind farm site selection: A case study of Iran
    Fetanat, Abdolvahhab
    Khorasaninejad, Ehsan
    OCEAN & COASTAL MANAGEMENT, 2015, 109 : 17 - 28