IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v222y2024ics096014812301827x.html
   My bibliography  Save this article

A two-stage decision framework for GIS-based site selection of wind-photovoltaic-hybrid energy storage project using LSGDM method

Author

Listed:
  • Gao, Jianwei
  • Wang, Yaping
  • Guo, Fengjia
  • Chen, Jiayi

Abstract

To alleviate the instability of renewable energy generation and reduce the cost of energy storage, a wind-photovoltaic-hybrid energy storage project that combines hydrogen storage and electric thermal storage has been developed. Selecting the appropriate location is essential. Therefore, a two-stage decision framework is proposed to select the optimal site. In the first stage, geographic information system is used to assess the suitability of the study area and identify potential locations. In the second stage, the large-scale group decision-making method is employed for further evaluation. Considering the uncertainty of information, the probabilistic linguistic term sets are used to describe evaluation information. Then, experts are clustered via transitive closure algorithm, the weights of the experts and the subgroups are calculated according to the similarity and the importance of experts, and the size of subgroups, respectively. Furthermore, the weight of the criteria is calculated by maximum deviation method. Finally, the improved tomada de decisaointerativa e multicritévio method is used to rank the feasible sites. To verify the practicability of the method, an empirical study is conducted in Inner Mongolia Autonomous Region. Through sensitivity and comparative analyses, site A3 is identified as the optimal location, which facilitates the layout of wind-photovoltaic-hybrid energy storage projects.

Suggested Citation

  • Gao, Jianwei & Wang, Yaping & Guo, Fengjia & Chen, Jiayi, 2024. "A two-stage decision framework for GIS-based site selection of wind-photovoltaic-hybrid energy storage project using LSGDM method," Renewable Energy, Elsevier, vol. 222(C).
    • Handle: RePEc:eee:renene:v:222:y:2024:i:c:s096014812301827x
    DOI: 10.1016/j.renene.2023.119912
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014812301827X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2023.119912?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. Mensour, O. Nait & El Ghazzani, B. & Hlimi, B. & Ihlal, A., 2019. "A geographical information system-based multi-criteria method for the evaluation of solar farms locations: A case study in Souss-Massa area, southern Morocco," Energy, Elsevier, vol. 182(C), pages 900-919.
    2. Wu, Yunna & Liao, Mingjuan & Hu, Mengyao & Lin, Jiawei & Zhou, Jianli & Zhang, Buyuan & Xu, Chuanbo, 2020. "A decision framework of low-speed wind farm projects in hilly areas based on DEMATEL-entropy-TODIM method from the sustainability perspective: A case in China," Energy, Elsevier, vol. 213(C).
    3. DeValeria, Michelle K. & Michaelides, Efstathios E. & Michaelides, Dimitrios N., 2020. "Energy and thermal storage in clusters of grid-independent buildings," Energy, Elsevier, vol. 190(C).
    4. Shuai, Jing & Cheng, Xin & Ding, Liping & Yang, Jun & Leng, Zhihui, 2019. "How should government and users share the investment costs and benefits of a solar PV power generation project in China?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 86-94.
    5. Yang, Qing & Huang, Tianyue & Wang, Saige & Li, Jiashuo & Dai, Shaoqing & Wright, Sebastian & Wang, Yuxuan & Peng, Huaiwu, 2019. "A GIS-based high spatial resolution assessment of large-scale PV generation potential in China," Applied Energy, Elsevier, vol. 247(C), pages 254-269.
    6. Talavera, D.L. & Muñoz-Cerón, E. & Ferrer-Rodríguez, J.P. & Nofuentes, G., 2016. "Evolution of the cost and economic profitability of grid-connected PV investments in Spain: Long-term review according to the different regulatory frameworks approved," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 233-247.
    7. Qolipour, Mojtaba & Mostafaeipour, Ali & Tousi, Omid Mohseni, 2017. "Techno-economic feasibility of a photovoltaic-wind power plant construction for electric and hydrogen production: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 113-123.
    8. Wu, Yunna & Geng, Shuai & Zhang, Haobo & Gao, Min, 2014. "Decision framework of solar thermal power plant site selection based on linguistic Choquet operator," Applied Energy, Elsevier, vol. 136(C), pages 303-311.
    9. Luo, Guoliang & Liu, Yingxuan & Zhang, Liping & Xu, Xuan & Guo, Yiwei, 2021. "Do governmental subsidies improve the financial performance of China’s new energy power generation enterprises?," Energy, Elsevier, vol. 227(C).
    10. Wu, Yunna & Xu, Chuanbo & Zhang, Buyuan & Tao, Yao & Li, Xinying & Chu, Han & Liu, Fangtong, 2019. "Sustainability performance assessment of wind power coupling hydrogen storage projects using a hybrid evaluation technique based on interval type-2 fuzzy set," Energy, Elsevier, vol. 179(C), pages 1176-1190.
    11. Kamenopoulos, Sotiris N. & Tsoutsos, Theocharis, 2015. "Assessment of the safe operation and maintenance of photovoltaic systems," Energy, Elsevier, vol. 93(P2), pages 1633-1638.
    12. Onar, Sezi Cevik & Oztaysi, Basar & Otay, İrem & Kahraman, Cengiz, 2015. "Multi-expert wind energy technology selection using interval-valued intuitionistic fuzzy sets," Energy, Elsevier, vol. 90(P1), pages 274-285.
    13. Li, Lili & Taeihagh, Araz, 2020. "An in-depth analysis of the evolution of the policy mix for the sustainable energy transition in China from 1981 to 2020," Applied Energy, Elsevier, vol. 263(C).
    14. Gigović, Ljubomir & Pamučar, Dragan & Božanić, Darko & Ljubojević, Srđan, 2017. "Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia," Renewable Energy, Elsevier, vol. 103(C), pages 501-521.
    15. Okazaki, Toru, 2020. "Electric thermal energy storage and advantage of rotating heater having synchronous inertia," Renewable Energy, Elsevier, vol. 151(C), pages 563-574.
    16. Yanjuan Yu & Hongkun Chen & Lei Chen, 2018. "Comparative Study of Electric Energy Storages and Thermal Energy Auxiliaries for Improving Wind Power Integration in the Cogeneration System," Energies, MDPI, vol. 11(2), pages 1-16, January.
    17. Noorollahi, Younes & Ghenaatpisheh Senani, Ali & Fadaei, Ahmad & Simaee, Mobina & Moltames, Rahim, 2022. "A framework for GIS-based site selection and technical potential evaluation of PV solar farm using Fuzzy-Boolean logic and AHP multi-criteria decision-making approach," Renewable Energy, Elsevier, vol. 186(C), pages 89-104.
    18. Yunna Wu & Jianli Zhou & Yong Hu & Lingwenying Li & Xiaokun Sun, 2018. "A TODIM-Based Investment Decision Framework for Commercial Distributed PV Projects under the Energy Performance Contracting (EPC) Business Model: A Case in East-Central China," Energies, MDPI, vol. 11(5), pages 1-27, May.
    Full references (including those not matched with items on IDEAS)

    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. Lv, Furong & Tang, Haiping, 2024. "Sustainable photovoltaic power generation spatial planning through ecosystem service valuation: A case study of the Qinghai-Tibet plateau," Renewable Energy, Elsevier, vol. 222(C).
    2. 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).
    3. Nima Mirzaei, 2022. "A Multicriteria Decision Framework for Solar Power Plant Location Selection Problem with Pythagorean Fuzzy Data: A Case Study on Green Energy in Turkey," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    4. Gao, Jing & Wang, Chao & Wang, Zhanwu & Lin, Jin & Zhang, Runkai & Wu, Xin & Xu, Guangyin & Wang, Zhenfeng, 2024. "Site selection decision for biomass cogeneration projects from a sustainable perspective: A case study of China," Energy, Elsevier, vol. 286(C).
    5. Juárez-Luna, David & Urdiales, Eduardo, 2021. "Participación de la capacidad fotovoltaica instalada en México: un análisis benchmarking [Share of installed photovoltaic capacity in Mexico: a benchmarking analysis]," MPRA Paper 114589, University Library of Munich, Germany.
    6. Ji, Zhengsen & Li, Wanying & Niu, Dongxiao, 2024. "Optimal investment decision of agrivoltaic coupling energy storage project based on distributed linguistic trust and hybrid evaluation method," Applied Energy, Elsevier, vol. 353(PA).
    7. 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).
    8. Liu, Zhengguang & Guo, Zhiling & Song, Chenchen & Du, Ying & Chen, Qi & Chen, Yuntian & Zhang, Haoran, 2023. "Business model comparison of slum-based PV to realize low-cost and flexible power generation in city-level," Applied Energy, Elsevier, vol. 344(C).
    9. Li, Xiao-Ya & Dong, Xin-Yu & Chen, Sha & Ye, Yan-Mei, 2024. "The promising future of developing large-scale PV solar farms in China: A three-stage framework for site selection," Renewable Energy, Elsevier, vol. 220(C).
    10. Elkadeem, Mohamed R. & Younes, Ali & Mazzeo, Domenico & Jurasz, Jakub & Elia Campana, Pietro & Sharshir, Swellam W. & Alaam, Mohamed A., 2022. "Geospatial-assisted multi-criterion analysis of solar and wind power geographical-technical-economic potential assessment," Applied Energy, Elsevier, vol. 322(C).
    11. Yuan, Jiahang & Luo, Xinggang & Li, Zhendong & Li, Lingfei & Ji, Pengli & Zhou, Qing & Zhang, Zhongliang, 2021. "Sustainable development evaluation on wind power compressed air energy storage projects based on multi-source heterogeneous data," Renewable Energy, Elsevier, vol. 169(C), pages 1175-1189.
    12. Dhiman, Harsh S. & Deb, Dipankar, 2020. "Fuzzy TOPSIS and fuzzy COPRAS based multi-criteria decision making for hybrid wind farms," Energy, Elsevier, vol. 202(C).
    13. Geng, Shuai & Lin, Lijun, 2018. "The extensible evaluation framework of urban green house gas emission reduction responsibility: A case of Shandong province in China," Energy, Elsevier, vol. 162(C), pages 171-184.
    14. Shao, Meng & Han, Zhixin & Sun, Jinwei & Xiao, Chengsi & Zhang, Shulei & Zhao, Yuanxu, 2020. "A review of multi-criteria decision making applications for renewable energy site selection," Renewable Energy, Elsevier, vol. 157(C), pages 377-403.
    15. Ullah, Zia & Elkadeem, M.R. & Kotb, Kotb M. & Taha, Ibrahim B.M. & Wang, Shaorong, 2021. "Multi-criteria decision-making model for optimal planning of on/off grid hybrid solar, wind, hydro, biomass clean electricity supply," Renewable Energy, Elsevier, vol. 179(C), pages 885-910.
    16. Martínez-Gordón, R. & Morales-España, G. & Sijm, J. & Faaij, A.P.C., 2021. "A review of the role of spatial resolution in energy systems modelling: Lessons learned and applicability to the North Sea region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    17. Rediske, Graciele & Siluk, Julio Cezar M. & Michels, Leandro & Rigo, Paula D. & Rosa, Carmen B. & Cugler, Gilberto, 2020. "Multi-criteria decision-making model for assessment of large photovoltaic farms in Brazil," Energy, Elsevier, vol. 197(C).
    18. Wu, Yunna & Zhang, Buyuan & Wu, Chenghao & Zhang, Ting & Liu, Fangtong, 2019. "Optimal site selection for parabolic trough concentrating solar power plant using extended PROMETHEE method: A case in China," Renewable Energy, Elsevier, vol. 143(C), pages 1910-1927.
    19. José Eduardo Tafula & Constantino Dário Justo & Pedro Moura & Jérôme Mendes & Ana Soares, 2023. "Multicriteria Decision-Making Approach for Optimum Site Selection for Off-Grid Solar Photovoltaic Microgrids in Mozambique," Energies, MDPI, vol. 16(6), pages 1-41, March.
    20. Gao, Jianwei & Wang, Yaping & Huang, Ningbo & Wei, Lingli & Zhang, Zixuan, 2022. "Optimal site selection study of wind-photovoltaic-shared energy storage power stations based on GIS and multi-criteria decision making: A two-stage framework," Renewable Energy, Elsevier, vol. 201(P1), pages 1139-1162.

    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:renene:v:222:y:2024:i:c:s096014812301827x. 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.journals.elsevier.com/renewable-energy .

    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.