IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i20p5203-d1502040.html
   My bibliography  Save this article

Site Selection Decision-Making for Offshore Wind-to-Hydrogen Production Bases Based on the Two-Dimensional Linguistic Cloud Model

Author

Listed:
  • Chen Fu

    (State Grid Shanghai Economic Research Institute, Shanghai 200235, China)

  • Li Lan

    (State Grid Shanghai Economic Research Institute, Shanghai 200235, China)

  • Su Chen

    (State Grid Shanghai Economic Research Institute, Shanghai 200235, China)

  • Mingxing Guo

    (State Grid Shanghai Economic Research Institute, Shanghai 200235, China)

  • Xiaojing Jiang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Xiaoran Yin

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Chuanbo Xu

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

Abstract

Offshore wind-to-hydrogen production is an effective means of solving the problems of large-scale grid-connected consumption and high power transmission costs of offshore wind power. Site selection is a core component in planning offshore wind-to-hydrogen facilities, involving careful consideration of multiple factors, and is a classic multi-criteria decision-making problem. Therefore, this study proposes a multi-criteria decision-making method based on the two-dimensional linguistic cloud model to optimize site selection for offshore wind-to-hydrogen bases. Firstly, the alternative schemes are evaluated using two-dimensional linguistic information, and a new model for transforming two-dimensional linguistic information into a normal cloud is constructed. Then, the cloud area overlap degree is defined to calculate the interaction factor between decision-makers, and a multi-objective programming model based on maximum deviation-minimum correlation is established. Following this, the Pareto solution of criteria weights is solved using the non-dominated sorting genetic algorithm II, and the alternatives are sorted and selected through the cloud-weighted average operator. Finally, an index system was constructed in terms of resource conditions, planning conditions, external conditions, and other dimensions, and a case study was conducted using the location of offshore wind-to-hydrogen production bases in Shanghai. The method proposed in this study demonstrates strong robustness and can provide a basis for these multi-criteria decision-making problems with solid qualitative characteristics.

Suggested Citation

  • Chen Fu & Li Lan & Su Chen & Mingxing Guo & Xiaojing Jiang & Xiaoran Yin & Chuanbo Xu, 2024. "Site Selection Decision-Making for Offshore Wind-to-Hydrogen Production Bases Based on the Two-Dimensional Linguistic Cloud Model," Energies, MDPI, vol. 17(20), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:20:p:5203-:d:1502040
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/20/5203/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/20/5203/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shu Zhang & Wenying Chen, 2022. "Assessing the energy transition in China towards carbon neutrality with a probabilistic framework," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    2. Farhad Taghizadeh-Hesary & Naoyuki Yoshino, 2020. "Sustainable Solutions for Green Financing and Investment in Renewable Energy Projects," Energies, MDPI, vol. 13(4), pages 1-18, February.
    3. Shaojie Song & Haiyang Lin & Peter Sherman & Xi Yang & Chris P. Nielsen & Xinyu Chen & Michael B. McElroy, 2021. "Production of hydrogen from offshore wind in China and cost-competitive supply to Japan," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    4. Xinyang Guo & Xinyu Chen & Xia Chen & Peter Sherman & Jinyu Wen & Michael McElroy, 2023. "Grid integration feasibility and investment planning of offshore wind power under carbon-neutral transition in China," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    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. Lifeng Du & Yanmei Yang & Luli Zhou & Min Liu, 2024. "Greenhouse Gas Reduction Potential and Economics of Green Hydrogen via Water Electrolysis: A Systematic Review of Value-Chain-Wide Decarbonization," Sustainability, MDPI, vol. 16(11), pages 1-37, May.
    2. Miklesh Yadav & Nandita Mishra & Shruti Ashok, 2023. "Dynamic connectedness of green bond with financial markets of European countries under OECD economies," Economic Change and Restructuring, Springer, vol. 56(1), pages 609-631, February.
    3. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Shahbaz, Muhammad & Vinh Vo, Xuan, 2021. "How energy transition and power consumption are related in Asian economies with different income levels?," Energy, Elsevier, vol. 237(C).
    4. Wang, Kai-Hua & Zhao, Yan-Xin & Jiang, Cui-Feng & Li, Zheng-Zheng, 2022. "Does green finance inspire sustainable development? Evidence from a global perspective," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 412-426.
    5. Zhang, Gaohang & Li, Fengting & Wang, Sen & Yin, Chunya, 2023. "Robust low-carbon energy and reserve scheduling considering operational risk and flexibility improvement," Energy, Elsevier, vol. 284(C).
    6. Li, Wenxue & Liu, Fei, 2023. "Financing green resource generation in sub-saharan Africa: Does financial integration matter?," Resources Policy, Elsevier, vol. 85(PB).
    7. Wang, Xiuli, 2023. "Exploring the role of resource industry dependence and green finance in green development efficiency in the context of post-Covid-19 period," Resources Policy, Elsevier, vol. 85(PB).
    8. Ma, Cong & Cheok, Mui Yee, 2022. "The impact of financing role and organizational culture in small and medium enterprises: Developing business strategies for economic recovery," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 26-38.
    9. Miquel-Flores, Ixart & Reghezza, Alessio & Buchetti, Bruno & Perdichizzi, Salvatore, 2024. "Greening the economy: how public-guaranteed loans influence firm-level resource allocation," Working Paper Series 2916, European Central Bank.
    10. Xian, Yujiao & Hu, Zhihui & Wang, Ke, 2023. "The least-cost abatement measure of carbon emissions for China's glass manufacturing industry based on the marginal abatement costs," Energy, Elsevier, vol. 284(C).
    11. Hunjra, Ahmed Imran & Hassan, M. Kabir & Zaied, Younes Ben & Managi, Shunsuke, 2023. "Nexus between green finance, environmental degradation, and sustainable development: Evidence from developing countries," Resources Policy, Elsevier, vol. 81(C).
    12. Viktoriia Myronchuk & Oleksandr Yatsenko & Dmytro Riznyk & Olena Hurina & Andrii Frolov, 2024. "Financing Sustainable Development: Analysis of Modern Approaches and Practices in the Context of Financial and Credit Activities," International Journal of Economics and Financial Issues, Econjournals, vol. 14(5), pages 317-329, September.
    13. Qi, Ye & Lu, Jiaqi & Liu, Tianle, 2024. "Measuring energy transition away from fossil fuels: A new index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    14. Arya Sasongko & Ali Sakti, 2020. "Sovereign Green Sukuk: Environmental Risk Model Development," Working Papers WP/02/2020, Bank Indonesia.
    15. Peterson K. Ozili & Paul Terhemba Iorember, 2024. "Financial stability and sustainable development," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 2620-2646, July.
    16. Kou, Xiaoxue & Wang, Ruzhu, 2023. "Thermodynamic analysis of electric to thermal heating pathways coupled with thermal energy storage," Energy, Elsevier, vol. 284(C).
    17. Han, Zhixin & Fang, Debin & Yang, Peiwen & Lei, Leyao, 2023. "Cooperative mechanisms for multi-energy complementarity in the electricity spot market," Energy Economics, Elsevier, vol. 127(PB).
    18. Li, Jiaman & Dong, Kangyin & Taghizadeh-Hesary, Farhad & Wang, Kun, 2022. "3G in China: How green economic growth and green finance promote green energy?," Renewable Energy, Elsevier, vol. 200(C), pages 1327-1337.
    19. Sun, Yanwei & Ai, Hongying & Li, Ying & Wang, Run & Ma, Renfeng, 2024. "Data-driven large-scale spatial planning framework for determining size and location of offshore wind energy development: A case study of China," Applied Energy, Elsevier, vol. 367(C).
    20. Shao, Tianming & Pan, Xunzhang & Li, Xiang & Zhou, Sheng & Zhang, Shu & Chen, Wenying, 2022. "China's industrial decarbonization in the context of carbon neutrality: A sub-sectoral analysis based on integrated modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(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:17:y:2024:i:20:p:5203-:d:1502040. 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.