IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i13p10195-d1180616.html
   My bibliography  Save this article

The Hydrogen Energy Infrastructure Location Selection Model: A Hybrid Fuzzy Decision-Making Approach

Author

Listed:
  • Long Li

    (School of Management Engineering, Qingdao University of Technology, Qingdao 266520, China)

  • Shuqi Wang

    (School of Management Engineering, Qingdao University of Technology, Qingdao 266520, China)

  • Shengxi Zhang

    (School of Management Engineering, Qingdao University of Technology, Qingdao 266520, China)

  • Ding Liu

    (School of Management Engineering, Qingdao University of Technology, Qingdao 266520, China)

  • Shengbin Ma

    (Department of Construction Management, Dalian University of Technology, Dalian 116024, China)

Abstract

Actively responding to climate change and accelerating the realization of carbon emission reduction are the common goals of global sustainable development. Hydrogen energy, as a “zero carbon emission” secondary energy, is playing an increasingly important role on the world energy stage. Hydrogen energy infrastructure (focusing on hydrogen refueling stations) is a key infrastructure in the transition to a hydrogen economy. However, the indicators that influence the location selection of hydrogen refueling stations (HRSs) are specific and have complex relationships, and current research still lacks a comprehensive analysis of its location selection decision-making indicators. Based on this research gap, this study proposes a hybrid fuzzy decision-making approach to determine the relationship and degree of influence between indicators. Firstly, this study identified 18 decision indicators that influence location selection from four dimensions: policy, economy, society, and environment. Subsequently, semi-structured interviews were used to initially assess the relationship between indicators. Finally, by using interpretive structural modeling and the fuzzy decision-making trial and evaluation laboratory (ISM-FDEMATEL), a 7-level structural model is established, which clarifies the complex relationship between indicators and the individual attributes of each indicator. The research results show that the indicators of the policy dimension have a more significant influencing degree than the other three dimensions and have a greater influence on the entire indicator system; the indicators of the economic dimension have a higher influencing degree and are easily influenced by other indicators. These findings will benefit policymakers and practitioners to prioritize and manage their resources effectively and efficiently and provide a valuable reference for advancing the sustainable development of the infrastructure for hydrogen energy.

Suggested Citation

  • Long Li & Shuqi Wang & Shengxi Zhang & Ding Liu & Shengbin Ma, 2023. "The Hydrogen Energy Infrastructure Location Selection Model: A Hybrid Fuzzy Decision-Making Approach," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10195-:d:1180616
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/13/10195/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/13/10195/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Apostolou, D. & Xydis, G., 2019. "A literature review on hydrogen refuelling stations and infrastructure. Current status and future prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    2. Zhao, Tian & Liu, Zhixin & Jamasb, Tooraj, 2022. "Developing hydrogen refueling stations: An evolutionary game approach and the case of China," Energy Economics, Elsevier, vol. 115(C).
    3. 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).
    4. Yan Zhou & Xunpeng Qin & Chenglong Li & Jun Zhou, 2022. "An Intelligent Site Selection Model for Hydrogen Refueling Stations Based on Fuzzy Comprehensive Evaluation and Artificial Neural Network—A Case Study of Shanghai," Energies, MDPI, vol. 15(3), pages 1-23, February.
    5. Bersani, Chiara & Minciardi, Riccardo & Sacile, Roberto & Trasforini, Eva, 2009. "Network planning of fuelling service stations in a near-term competitive scenario of the hydrogen economy," Socio-Economic Planning Sciences, Elsevier, vol. 43(1), pages 55-71, March.
    6. Aziz, Ghazala & Sarwar, Suleman & Waheed, Rida & Khan, Mohd Saeed, 2023. "Significance of hydrogen energy to control the environmental gasses in light of COP26: A case of European Countries," Resources Policy, Elsevier, vol. 80(C).
    7. Ajanovic, Amela & Haas, Reinhard, 2018. "Economic prospects and policy framework for hydrogen as fuel in the transport sector," Energy Policy, Elsevier, vol. 123(C), pages 280-288.
    8. Solomon, Barry D. & Banerjee, Abhijit, 2006. "A global survey of hydrogen energy research, development and policy," Energy Policy, Elsevier, vol. 34(7), pages 781-792, May.
    9. Nithin Isaac & Akshay K. Saha, 2023. "A Review of the Optimization Strategies and Methods Used to Locate Hydrogen Fuel Refueling Stations," Energies, MDPI, vol. 16(5), pages 1-16, February.
    10. 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).
    11. Wei, Xintong & Qiu, Rui & Liang, Yongtu & Liao, Qi & Klemeš, Jiří Jaromír & Xue, Jinjun & Zhang, Haoran, 2022. "Roadmap to carbon emissions neutral industrial parks: Energy, economic and environmental analysis," Energy, Elsevier, vol. 238(PA).
    12. Li, Lei & Manier, Hervé & Manier, Marie-Ange, 2019. "Hydrogen supply chain network design: An optimization-oriented review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 342-360.
    13. Jones, J. & Genovese, A. & Tob-Ogu, A., 2020. "Hydrogen vehicles in urban logistics: A total cost of ownership analysis and some policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    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. Mohammed Yousri Silaa & Oscar Barambones & José Antonio Cortajarena & Patxi Alkorta & Aissa Bencherif, 2023. "PEMFC Current Control Using a Novel Compound Controller Enhanced by the Black Widow Algorithm: A Comprehensive Simulation Study," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
    2. Xu Liang & Huifang Kang & Rui Zeng & Yue Pang & Yun Yang & Yunlu Qiu & Yuanxu Tao & Jun Shen, 2024. "Impact of the Structural Parameters on the Performance of a Regenerative-Type Hydrogen Recirculation Blower for Vehicular Proton Exchange Membrane Fuel Cells," Sustainability, MDPI, vol. 16(5), pages 1-28, February.
    3. Wenli Dong & Lihan Lin, 2023. "Evaluating the Whole-Process Management of Future Communities Based on Integrated Fuzzy Decision Methods," Sustainability, MDPI, vol. 15(23), pages 1-23, November.

    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. 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).
    2. Rawat, Atul & Garg, Chandra Prakash & Sinha, Priyank, 2024. "Analysis of the key hydrogen fuel vehicles adoption barriers to reduce carbon emissions under net zero target in emerging market," Energy Policy, Elsevier, vol. 184(C).
    3. Arturo Vallejos-Romero & Minerva Cordoves-Sánchez & César Cisternas & Felipe Sáez-Ardura & Ignacio Rodríguez & Antonio Aledo & Álex Boso & Jordi Prades & Boris Álvarez, 2022. "Green Hydrogen and Social Sciences: Issues, Problems, and Future Challenges," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    4. Tian Zhao & Zhixin Liu, 2023. "Investment Timing Analysis of Hydrogen-Refueling Stations and the Case of China: Independent or Co-Operative Investment?," Energies, MDPI, vol. 16(13), pages 1-17, June.
    5. Fanyue Qian & Weijun Gao & Dan Yu & Yongwen Yang & Yingjun Ruan, 2022. "An Analysis of the Potential of Hydrogen Energy Technology on Demand Side Based on a Carbon Tax: A Case Study in Japan," Energies, MDPI, vol. 16(1), pages 1-23, December.
    6. Hunt, Julian David & Nascimento, Andreas & Nascimento, Nazem & Vieira, Lara Werncke & Romero, Oldrich Joel, 2022. "Possible pathways for oil and gas companies in a sustainable future: From the perspective of a hydrogen economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    7. İnci, Mustafa & Büyük, Mehmet & Demir, Mehmet Hakan & İlbey, Göktürk, 2021. "A review and research on fuel cell electric vehicles: Topologies, power electronic converters, energy management methods, technical challenges, marketing and future aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    8. Zhao, Tian & Liu, Zhixin & Jamasb, Tooraj, 2022. "Developing hydrogen refueling stations: An evolutionary game approach and the case of China," Energy Economics, Elsevier, vol. 115(C).
    9. Matteo Genovese & Viviana Cigolotti & Elio Jannelli & Petronilla Fragiacomo, 2023. "Hydrogen Refueling Process: Theory, Modeling, and In-Force Applications," Energies, MDPI, vol. 16(6), pages 1-31, March.
    10. Li, Lei & Al Chami, Zaher & Manier, Hervé & Manier, Marie-Ange & Xue, Jian, 2021. "Incorporating fuel delivery in network design for hydrogen fueling stations: Formulation and two metaheuristic approaches," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    11. Panah, Payam Ghaebi & Bornapour, Mosayeb & Hemmati, Reza & Guerrero, Josep M., 2021. "Charging station Stochastic Programming for Hydrogen/Battery Electric Buses using Multi-Criteria Crow Search Algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    12. Zhu, Min & Dong, Peiwu & Ju, Yanbing & Li, Jiajun & Ran, Lun, 2023. "Effects of government subsidies on heavy-duty hydrogen fuel cell truck penetration: A scenario-based system dynamics model," Energy Policy, Elsevier, vol. 183(C).
    13. Bolz, Susanna & Thiele, Julian & Wendler, Tobias, 2024. "Regional capabilities and hydrogen adoption barriers," Energy Policy, Elsevier, vol. 185(C).
    14. 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.
    15. Salehi-Amiri, Amirhossein & Zahedi, Ali & Akbapour, Navid & Hajiaghaei-Keshteli, Mostafa, 2021. "Designing a sustainable closed-loop supply chain network for walnut industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    16. Zhang, Zhonglian & Yang, Xiaohui & Li, Moxuan & Deng, Fuwei & Xiao, Riying & Mei, Linghao & Hu, Zecheng, 2023. "Optimal configuration of improved dynamic carbon neutral energy systems based on hybrid energy storage and market incentives," Energy, Elsevier, vol. 284(C).
    17. Sumitkumar, Rathor & Al-Sumaiti, Ameena Saad, 2024. "Shared autonomous electric vehicle: Towards social economy of energy and mobility from power-transportation nexus perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    18. Qiu, Rui & Zhang, Haoran & Wang, Guotao & Liang, Yongtu & Yan, Jinyue, 2023. "Green hydrogen-based energy storage service via power-to-gas technologies integrated with multi-energy microgrid," Applied Energy, Elsevier, vol. 350(C).
    19. Johannes Full & Silja Hohmann & Sonja Ziehn & Edgar Gamero & Tobias Schließ & Hans-Peter Schmid & Robert Miehe & Alexander Sauer, 2023. "Perspectives of Biogas Plants as BECCS Facilities: A Comparative Analysis of Biomethane vs. Biohydrogen Production with Carbon Capture and Storage or Use (CCS/CCU)," Energies, MDPI, vol. 16(13), pages 1-16, June.
    20. Ju-Yeol Ryu & Sungho Park & Changhyeong Lee & Seonghyeon Hwang & Jongwoong Lim, 2023. "Techno-Economic Analysis of Hydrogen–Natural Gas Blended Fuels for 400 MW Combined Cycle Power Plants (CCPPs)," Energies, MDPI, vol. 16(19), pages 1-19, September.

    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:jsusta:v:15:y:2023:i:13:p:10195-:d:1180616. 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.