IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v328y2022ics0306261922014301.html
   My bibliography  Save this article

A hybrid multi-criteria decision-making framework for offshore wind turbine selection: A case study in China

Author

Listed:
  • Yu, Yang
  • Wu, Shibo
  • Yu, Jianxing
  • Xu, Ya
  • Song, Lin
  • Xu, Weipeng

Abstract

The proper selection of offshore wind turbines is crucial for the long-term development of offshore wind farms. It also contributes to achieving the long-term sustainability goals of offshore wind power. To select the optimal offshore wind turbine with massive difficulties lying in diversity of evaluation criteria, uncertainties in the decision environment and different risk preferences of decision makers, a hybrid multi-criteria decision-making (MCDM) framework is proposed. This framework integrates the interval 2-tuple linguistic (I2TL) model, power weighted average (PWA) operator, stepwise weighted assessment ratio analysis II (SWARA II), method based on the removal effects of criteria (MEREC), cumulative prospect theory (CPT) and combined compromise solution (CoCoSo) method. First, a more realistic and holistic evaluation criteria system is developed for wind turbines based on a two-phase procedure. Then, the I2TL variables are employed to transform the subjective judgments of experts into quantitative evaluation information, and the individual evaluations are fused by the similarity measure-based PWA operator. After that, a new integrated weighing method combined with SWARA II and MEREC is adopted to acquire the criterion weights. Next, the CoCoSo method based on CPT is applied to rank alternatives. An actual case study in China is conducted to demonstrate the applicability of the proposed framework. Finally, the robustness and reliability of the framework are validated through sensitivity and comparison analysis. The hybrid MCDM framework can provide a beneficial reference for decision makers to analyze and select the optimal wind turbine.

Suggested Citation

  • Yu, Yang & Wu, Shibo & Yu, Jianxing & Xu, Ya & Song, Lin & Xu, Weipeng, 2022. "A hybrid multi-criteria decision-making framework for offshore wind turbine selection: A case study in China," Applied Energy, Elsevier, vol. 328(C).
    • Handle: RePEc:eee:appene:v:328:y:2022:i:c:s0306261922014301
    DOI: 10.1016/j.apenergy.2022.120173
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922014301
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2022.120173?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hu, Shushan & Hoare, Cathal & Raftery, Paul & O’Donnell, James, 2019. "Environmental and energy performance assessment of buildings using scenario modelling and fuzzy analytic network process," Applied Energy, Elsevier, vol. 255(C).
    2. Van Thanh Nguyen & Nguyen Hoang Hai & Nguyen Thi Kim Lan, 2022. "Spherical Fuzzy Multicriteria Decision-Making Model for Wind Turbine Supplier Selection in a Renewable Energy Project," Energies, MDPI, vol. 15(3), pages 1-12, January.
    3. Morteza Yazdani & Pascale Zaraté & Edmundas Kazimieras Zavadskas & Zenonas Turskis, 2019. "A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems," Post-Print hal-02879091, HAL.
    4. Li, Mingxin & Jiang, Xiaoli & Carroll, James & Negenborn, Rudy R., 2022. "A multi-objective maintenance strategy optimization framework for offshore wind farms considering uncertainty," Applied Energy, Elsevier, vol. 321(C).
    5. Radu, David & Berger, Mathias & Dubois, Antoine & Fonteneau, Raphaël & Pandžić, Hrvoje & Dvorkin, Yury & Louveaux, Quentin & Ernst, Damien, 2022. "Assessing the impact of offshore wind siting strategies on the design of the European power system," Applied Energy, Elsevier, vol. 305(C).
    6. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    7. Liu, Bingsheng & Liu, Song & Xue, Bin & Lu, Shijian & Yang, Yang, 2021. "Formalizing an integrated decision-making model for the risk assessment of carbon capture, utilization, and storage projects: From a sustainability perspective," Applied Energy, Elsevier, vol. 303(C).
    8. Elkadeem, M.R. & Younes, Ali & Sharshir, Swellam W. & Campana, Pietro Elia & Wang, Shaorong, 2021. "Sustainable siting and design optimization of hybrid renewable energy system: A geospatial multi-criteria analysis," Applied Energy, Elsevier, vol. 295(C).
    9. Lozano-Minguez, E. & Kolios, A.J. & Brennan, F.P., 2011. "Multi-criteria assessment of offshore wind turbine support structures," Renewable Energy, Elsevier, vol. 36(11), pages 2831-2837.
    10. Sitorus, Fernando & Brito-Parada, Pablo R., 2020. "A multiple criteria decision making method to weight the sustainability criteria of renewable energy technologies under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    11. Li, Xiang & Gao, Qi & Cao, Yuying & Yang, Yanfei & Liu, Shiming & Wang, Zhong Lin & Cheng, Tinghai, 2022. "Optimization strategy of wind energy harvesting via triboelectric-electromagnetic flexible cooperation," Applied Energy, Elsevier, vol. 307(C).
    12. Gao, Jianwei & Guo, Fengjia & Ma, Zeyang & Huang, Xin & Li, Xiangzhen, 2020. "Multi-criteria group decision-making framework for offshore wind farm site selection based on the intuitionistic linguistic aggregation operators," Energy, Elsevier, vol. 204(C).
    13. Jallal, Mohammed Ali & González-Vidal, Aurora & Skarmeta, Antonio F. & Chabaa, Samira & Zeroual, Abdelouhab, 2020. "A hybrid neuro-fuzzy inference system-based algorithm for time series forecasting applied to energy consumption prediction," Applied Energy, Elsevier, vol. 268(C).
    14. Kheybari, Siamak & Kazemi, Mostafa & Rezaei, Jafar, 2019. "Bioethanol facility location selection using best-worst method," Applied Energy, Elsevier, vol. 242(C), pages 612-623.
    15. Nansheng Pang & Mengfan Nan & Qichen Meng & Siyang Zhao, 2021. "Selection of Wind Turbine Based on Fuzzy Analytic Network Process: A Case Study in China," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    16. Sayyid Ali Banihashemi & Mohammad Khalilzadeh & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene, 2021. "Investigating the Environmental Impacts of Construction Projects in Time-Cost Trade-Off Project Scheduling Problems with CoCoSo Multi-Criteria Decision-Making Method," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
    17. Singh, Shweta & Upadhyay, Surya Prakash & Powar, Satvasheel, 2022. "Developing an integrated social, economic, environmental, and technical analysis model for sustainable development using hybrid multi-criteria decision making methods," Applied Energy, Elsevier, vol. 308(C).
    18. Ma, Hongliang & Ge, Mingwei & Wu, Guangxing & Du, Bowen & Liu, Yongqian, 2021. "Formulas of the optimized yaw angles for cooperative control of wind farms with aligned turbines to maximize the power production," Applied Energy, Elsevier, vol. 303(C).
    19. Wang, Kang & Wang, Jianzhou & Zeng, Bo & Lu, Haiyan, 2022. "An integrated power load point-interval forecasting system based on information entropy and multi-objective optimization," Applied Energy, Elsevier, vol. 314(C).
    20. Zhao, Haoran & Guo, Sen & Zhao, Huiru, 2019. "Comprehensive assessment for battery energy storage systems based on fuzzy-MCDM considering risk preferences," Energy, Elsevier, vol. 168(C), pages 450-461.
    21. Supciller, Aliye Ayca & Toprak, Fatih, 2020. "Selection of wind turbines with multi-criteria decision making techniques involving neutrosophic numbers: A case from Turkey," Energy, Elsevier, vol. 207(C).
    22. Ju, Liwei & Zhao, Rui & Tan, Qinliang & Lu, Yan & Tan, Qingkun & Wang, Wei, 2019. "A multi-objective robust scheduling model and solution algorithm for a novel virtual power plant connected with power-to-gas and gas storage tank considering uncertainty and demand response," Applied Energy, Elsevier, vol. 250(C), pages 1336-1355.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shupeng Huang & Hong Cheng & Manyi Tan & Zhiqing Tang & Chuyi Teng, 2024. "Evaluating Regional Potentials of Agricultural E-Commerce Development Using a Novel MEREC Heronian-CoCoSo Approach," Agriculture, MDPI, vol. 14(8), pages 1-16, August.
    2. Liu, Jicheng & Lu, Yunyuan, 2023. "A task matching model of photovoltaic storage system under the energy blockchain environment - based on GA-CLOUD-GS algorithm," Energy, Elsevier, vol. 283(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dimitris Ioannidis & Dimitra G. Vagiona, 2024. "Optimal Wind Farm Siting Using a Fuzzy Analytic Hierarchy Process: Evaluating the Island of Andros, Greece," Sustainability, MDPI, vol. 16(10), pages 1-25, May.
    2. Torkayesh, Ali Ebadi & Alizadeh, Reza & Soltanisehat, Leili & Torkayesh, Sajjad Ebadi & Lund, Peter D., 2022. "A comparative assessment of air quality across European countries using an integrated decision support model," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    3. Krishankumar, Raghunathan & Pamucar, Dragan & Deveci, Muhammat & Aggarwal, Manish & Ravichandran, Kattur Soundarapandian, 2022. "Assessment of renewable energy sources for smart cities’ demand satisfaction using multi-hesitant fuzzy linguistic based choquet integral approach," Renewable Energy, Elsevier, vol. 189(C), pages 1428-1442.
    4. Asadi, Meysam & Ramezanzade, Mohsen & Pourhossein, Kazem, 2023. "A global evaluation model applied to wind power plant site selection," Applied Energy, Elsevier, vol. 336(C).
    5. Lu, Zhiming & Gao, Yan & Xu, Chuanbo, 2021. "Evaluation of energy management system for regional integrated energy system under interval type-2 hesitant fuzzy environment," Energy, Elsevier, vol. 222(C).
    6. Nan Li & Haining Zhang & Xiangcheng Zhang & Xue Ma & Sen Guo, 2020. "How to Select the Optimal Electrochemical Energy Storage Planning Program? A Hybrid MCDM Method," Energies, MDPI, vol. 13(4), pages 1-20, February.
    7. Ziemba, Paweł, 2022. "Uncertain Multi-Criteria analysis of offshore wind farms projects investments – Case study of the Polish Economic Zone of the Baltic Sea," Applied Energy, Elsevier, vol. 309(C).
    8. Gholamreza Haseli & Reza Sheikh & Jianqiang Wang & Hana Tomaskova & Erfan Babaee Tirkolaee, 2021. "A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM): Application to Supply Chain Management," Mathematics, MDPI, vol. 9(16), pages 1-20, August.
    9. Minaei, Foad & Minaei, Masoud & Kougias, Ioannis & Shafizadeh-Moghadam, Hossein & Hosseini, Seyed Ali, 2021. "Rural electrification in protected areas: A spatial assessment of solar photovoltaic suitability using the fuzzy best worst method," Renewable Energy, Elsevier, vol. 176(C), pages 334-345.
    10. Zehba Raizah & Udaya Kumara Kodipalya Nanjappa & Harshitha Urs Ajjipura Shankar & Umair Khan & Sayed M. Eldin & Rajesh Kumar & Ahmed M. Galal, 2022. "Windmill Global Sourcing in an Initiative Using a Spherical Fuzzy Multiple-Criteria Decision Prototype," Energies, MDPI, vol. 15(21), pages 1-13, October.
    11. Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Wang, 2002. "Consistent testing for stochastic dominance: a subsampling approach," CeMMAP working papers 03/02, Institute for Fiscal Studies.
    12. Heiko Karle & Georg Kirchsteiger & Martin Peitz, 2015. "Loss Aversion and Consumption Choice: Theory and Experimental Evidence," American Economic Journal: Microeconomics, American Economic Association, vol. 7(2), pages 101-120, May.
    13. Shoji, Isao & Kanehiro, Sumei, 2016. "Disposition effect as a behavioral trading activity elicited by investors' different risk preferences," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 104-112.
    14. Muhammad Kashif & Thomas Leirvik, 2022. "The MAX Effect in an Oil Exporting Country: The Case of Norway," JRFM, MDPI, vol. 15(4), pages 1-16, March.
    15. Boone, Jan & Sadrieh, Abdolkarim & van Ours, Jan C., 2009. "Experiments on unemployment benefit sanctions and job search behavior," European Economic Review, Elsevier, vol. 53(8), pages 937-951, November.
    16. Jos'e Cl'audio do Nascimento, 2019. "Behavioral Biases and Nonadditive Dynamics in Risk Taking: An Experimental Investigation," Papers 1908.01709, arXiv.org, revised Apr 2023.
    17. Martín Egozcue & Sébastien Massoni & Wing-Keung Wong & RiÄ ardas Zitikis, 2012. "Integration-segregation decisions under general value functions: "Create your own bundle — choose 1, 2, or all 3!"," Documents de travail du Centre d'Economie de la Sorbonne 12057, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    18. Howard Kunreuther & Erwann Michel-Kerjan, 2015. "Demand for fixed-price multi-year contracts: Experimental evidence from insurance decisions," Journal of Risk and Uncertainty, Springer, vol. 51(2), pages 171-194, October.
    19. Francesco GUALA, 2017. "Preferences: Neither Behavioural nor Mental," Departmental Working Papers 2017-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    20. Shi, Yun & Cui, Xiangyu & Zhou, Xunyu, 2020. "Beta and Coskewness Pricing: Perspective from Probability Weighting," SocArXiv 5rqhv, Center for Open Science.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:328:y:2022:i:c:s0306261922014301. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.