IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i2p797-d1030922.html
   My bibliography  Save this article

An Optimal Site Selection Framework for Near-Zero Carbon Emission Power Plants Based on Multiple Stakeholders

Author

Listed:
  • Yanbin Li

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)

  • Yanting Sun

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)

  • Yulin Kang

    (Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Feng Zhang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)

  • Junjie Zhang

    (Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang 550002, China)

Abstract

Near-zero carbon emission power (NZCEP) plants, consisting of gas-fired units; wind turbines; power-to-gas (P2G); and carbon capture, utilization and storage (CCUS) systems, have recently received a lot of attention due to their enormous benefits in reducing carbon emissions and increasing the consumption of renewable energy. However, a complex environment of interest and a combination of risks makes their development very slow. This paper establishes a risk analysis framework for NZCEP considering multi-stakeholder participation. Firstly, a synthetic risk factor system was constructed based on stakeholders’ interests. Subsequently, interval type II trapezoidal fuzzy numbers were used and final weights were calculated from both subjective and objective aspects. Finally, we applied an acronym in Portuguese of the interactive and multi-criteria decision-making (TODIM) method to site selection to achieve a balance of interests of all stakeholders. In addition, a case study was conducted. The case result demonstrates that Zhengzhou in Henan Province is the best choice for a NZCEP power plant. A further finding is that government plays an important role in the development of NZCEP plants, with site selection results being the most sensitive to changes in the government’s risk appetite. Moreover, human resources are an important factor in the siting of an NZCEP plant.

Suggested Citation

  • Yanbin Li & Yanting Sun & Yulin Kang & Feng Zhang & Junjie Zhang, 2023. "An Optimal Site Selection Framework for Near-Zero Carbon Emission Power Plants Based on Multiple Stakeholders," Energies, MDPI, vol. 16(2), pages 1-26, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:797-:d:1030922
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/2/797/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/2/797/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jalil Heidary Dahooie & Ali Husseinzadeh Kashan & Zahra Shoaei Naeini & Amir Salar Vanaki & Edmundas Kazimieras Zavadskas & Zenonas Turskis, 2022. "A Hybrid Multi-Criteria-Decision-Making Aggregation Method and Geographic Information System for Selecting Optimal Solar Power Plants in Iran," Energies, MDPI, vol. 15(8), pages 1-20, April.
    2. Peri, Erez & Tal, Alon, 2020. "A sustainable way forward for wind power: Assessing turbines’ environmental impacts using a holistic GIS analysis," Applied Energy, Elsevier, vol. 279(C).
    3. Wu, Yunna & Zhang, Ting & Xu, Chuanbo & Zhang, Xiaoyu & Ke, Yiming & Chu, Han & Xu, Ruhang, 2019. "Location selection of seawater pumped hydro storage station in China based on multi-attribute decision making," Renewable Energy, Elsevier, vol. 139(C), pages 410-425.
    4. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    5. Gokul Iyer & Yang Ou & James Edmonds & Allen A. Fawcett & Nathan Hultman & James McFarland & Jay Fuhrman & Stephanie Waldhoff & Haewon McJeon, 2022. "The path to 1.5 °C requires ratcheting of climate pledges," Nature Climate Change, Nature, vol. 12(12), pages 1092-1093, December.
    6. Min-Jung Pyo & Seong-Won Moon & Tong-Seop Kim, 2021. "A Comparative Feasibility Study of the Use of Hydrogen Produced from Surplus Wind Power for a Gas Turbine Combined Cycle Power Plant," Energies, MDPI, vol. 14(24), pages 1-21, December.
    7. Wang, Yuwei & Yang, Yuanjuan & Fei, Haoran & Song, Minghao & Jia, Mengyao, 2022. "Wasserstein and multivariate linear affine based distributionally robust optimization for CCHP-P2G scheduling considering multiple uncertainties," Applied Energy, Elsevier, vol. 306(PA).
    8. Yang, Bo & Wei, Yi-Ming & Hou, Yunbing & Li, Hui & Wang, Pengtao, 2019. "Life cycle environmental impact assessment of fuel mix-based biomass co-firing plants with CO2 capture and storage," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    9. Gokul Iyer & Yang Ou & James Edmonds & Allen A. Fawcett & Nathan Hultman & James McFarland & Jay Fuhrman & Stephanie Waldhoff & Haewon McJeon, 2022. "Ratcheting of climate pledges needed to limit peak global warming," Nature Climate Change, Nature, vol. 12(12), pages 1129-1135, December.
    10. Li, Yanbin & Zhang, Feng & Li, Yun & Wang, Yuwei, 2021. "An improved two-stage robust optimization model for CCHP-P2G microgrid system considering multi-energy operation under wind power outputs uncertainties," Energy, Elsevier, vol. 223(C).
    11. Fan, Jing-Li & Xu, Mao & Li, Fengyu & Yang, Lin & Zhang, Xian, 2018. "Carbon capture and storage (CCS) retrofit potential of coal-fired power plants in China: The technology lock-in and cost optimization perspective," Applied Energy, Elsevier, vol. 229(C), pages 326-334.
    12. Sheng-Li Si & Xiao-Yue You & Hu-Chen Liu & Ping Zhang, 2018. "DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-33, January.
    13. 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).
    14. 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.
    15. 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).
    16. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Odigie, O. & Munda, J.L., 2018. "A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria," Applied Energy, Elsevier, vol. 228(C), pages 1853-1869.
    17. Wang, Nan & Akimoto, Keigo & Nemet, Gregory F., 2021. "What went wrong? Learning from three decades of carbon capture, utilization and sequestration (CCUS) pilot and demonstration projects," Energy Policy, Elsevier, vol. 158(C).
    18. Yurii Vasilev & Alexey Cherepovitsyn & Anna Tsvetkova & Nadejda Komendantova, 2021. "Promoting Public Awareness of Carbon Capture and Storage Technologies in the Russian Federation: A System of Educational Activities," Energies, MDPI, vol. 14(5), pages 1-14, March.
    19. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-cui & Yu, Bi-Ying & Liao, Hua, 2021. "A social learning approach to carbon capture and storage demonstration project management: An empirical analysis," Applied Energy, Elsevier, vol. 299(C).
    20. Wu, Yunna & Liu, Fangtong & He, Jiaming & Wu, Man & Ke, Yiming, 2021. "Obstacle identification, analysis and solutions of hydrogen fuel cell vehicles for application in China under the carbon neutrality target," Energy Policy, Elsevier, vol. 159(C).
    21. Xu, Chuanbo & Wu, Yunna & Dai, Shuyu, 2020. "What are the critical barriers to the development of hydrogen refueling stations in China? A modified fuzzy DEMATEL approach," Energy Policy, Elsevier, vol. 142(C).
    22. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2021. "Multi-objective optimization and evaluation of hybrid CCHP systems for different building types," Energy, Elsevier, vol. 215(PA).
    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. 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).
    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. 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.
    4. Yang, Lin & Lv, Haodong & Jiang, Dalin & Fan, Jingli & Zhang, Xian & He, Weijun & Zhou, Jinsheng & Wu, Wenjing, 2020. "Whether CCS technologies will exacerbate the water crisis in China? —A full life-cycle analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    5. Hossein Yousefi & Saheb Ghanbari Motlagh & Mohammad Montazeri, 2022. "Multi-Criteria Decision-Making System for Wind Farm Site-Selection Using Geographic Information System (GIS): Case Study of Semnan Province, Iran," Sustainability, MDPI, vol. 14(13), pages 1-27, June.
    6. Wang, Peng-Tao & Wei, Yi-Ming & Yang, Bo & Li, Jia-Quan & Kang, Jia-Ning & Liu, Lan-Cui & Yu, Bi-Ying & Hou, Yun-Bing & Zhang, Xian, 2020. "Carbon capture and storage in China’s power sector: Optimal planning under the 2 °C constraint," Applied Energy, Elsevier, vol. 263(C).
    7. Zhou, Jianli & Wu, Yunna & Tao, Yao & Gao, Jianwei & Zhong, Zhiming & Xu, Chuanbo, 2021. "Geographic information big data-driven two-stage optimization model for location decision of hydrogen refueling stations: An empirical study in China," Energy, Elsevier, vol. 225(C).
    8. 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).
    9. Zhang, Guodao & Ge, Yisu & Pan, Xiaotian & Zheng, Yun & Yang, Yanhong, 2023. "Hybrid robust-stochastic multi-objective optimization of combined cooling, heating, hydrogen and power-based microgrids," Energy, Elsevier, vol. 274(C).
    10. Fang, Chenhao & Ma, Tieju, 2020. "Stylized agent-based modeling on linking emission trading systems and its implications for China's practice," Energy Economics, Elsevier, vol. 92(C).
    11. Hu, Yingying & Wu, Wei, 2023. "Can fossil energy make a soft landing？— the carbon-neutral pathway in China accompanying CCS," Energy Policy, Elsevier, vol. 174(C).
    12. Gao, Chong & Lin, Junjie & Zeng, Jianfeng & Han, Fengwu, 2022. "Wind-photovoltaic co-generation prediction and energy scheduling of low-carbon complex regional integrated energy system with hydrogen industry chain based on copula-MILP," Applied Energy, Elsevier, vol. 328(C).
    13. Alphan, H., 2021. "Modelling potential visibility of wind turbines: A geospatial approach for planning and impact mitigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    14. Hasan Eroğlu, 2021. "Multi-criteria decision analysis for wind power plant location selection based on fuzzy AHP and geographic information systems," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18278-18310, December.
    15. Fan, Wei & Ju, Liwei & Tan, Zhongfu & Li, Xiangguang & Zhang, Amin & Li, Xudong & Wang, Yueping, 2023. "Two-stage distributionally robust optimization model of integrated energy system group considering energy sharing and carbon transfer," Applied Energy, Elsevier, vol. 331(C).
    16. Shao, Meng & Zhao, Yuanxu & Sun, Jinwei & Han, Zhixin & Shao, Zhuxiao, 2023. "A decision framework for tidal current power plant site selection based on GIS-MCDM: A case study in China," Energy, Elsevier, vol. 262(PB).
    17. Wu, Yunna & Liu, Fangtong & Wu, Junhao & He, Jiaming & Xu, Minjia & Zhou, Jianli, 2022. "Barrier identification and analysis framework to the development of offshore wind-to-hydrogen projects," Energy, Elsevier, vol. 239(PB).
    18. Gan, Xiaolong & Liu, Lanchi & Wen, Tao & Webber, Ronald, 2022. "Modelling interrelationships between barriers to adopting green building technologies in China's rural housing via grey-DEMATEL," Technology in Society, Elsevier, vol. 70(C).
    19. Wang, Yuwei & Song, Minghao & Jia, Mengyao & Shi, Lin & Li, Bingkang, 2023. "TimeGAN based distributionally robust optimization for biomass-photovoltaic-hydrogen scheduling under source-load-market uncertainties," Energy, Elsevier, vol. 284(C).
    20. 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).

    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:gam:jeners:v:16:y:2023:i:2:p:797-:d:1030922. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.