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Geographic information big data-driven two-stage optimization model for location decision of hydrogen refueling stations: An empirical study in China

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  • Zhou, Jianli
  • Wu, Yunna
  • Tao, Yao
  • Gao, Jianwei
  • Zhong, Zhiming
  • Xu, Chuanbo

Abstract

The promotion of hydrogen fuel cell vehicles (HFCVs) is an effective way to decarbonize the transportation industry. However, the shortage and difficulty in the layout of hydrogen refueling stations (HRSs) are the key obstacles to the HFCVs development. This paper constructs a two-stage location optimization model based on geographic information big data to provide technical support for the HRSs layout. The first stage is suitability analysis led by the geographic information system; the second is decision analysis based on the multi-criteria decision-making (MCDM) approach. First, the analysis elements and indicators used in the two-stage model are respectively given: including ten types of geographic information elements and six evaluation indicators. Then, the key steps and core algorithms of the two-stage model are introduced in detail. Thirdly, this paper takes the Weifang City of Shandong Province as the study area to carry out an empirical case to verify the model. The weight results show that traffic convenience is the key determinant of suitability (more than 25%); the economic development level and public acceptance of the alternative site area are the critical indicators in the decision-making stage (more than 25%). The model gives the suitability score for all available land in the study area. The suitability score is between 3.521 and 8.047 (10 points scale). Taking the median value of 5.784 as the threshold value, eight alternative sites are selected from the green areas suitable for layout based on the distribution of interest points, which are included in the planning for the next two years. The layout priority rankings show that alternative sites A1, A6, and A5 are ranked high. The reliability and uniqueness of the model are proved by comparative analysis. The results of sensitivity analysis and scenario analysis show that the sensitivity preference of decision-makers could significantly affect the priority ranking. The empirical study will provide effective reference and enlightenment for Shandong to develop hydrogen energy strategy.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:225:y:2021:i:c:s036054422100579x
    DOI: 10.1016/j.energy.2021.120330
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    as
    1. Wang, Ying-Wei & Wang, Chuan-Ren, 2010. "Locating passenger vehicle refueling stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(5), pages 791-801, September.
    2. Meryem Tahri & Mustapha Hakdaoui & Mohamed Maanan, 2015. "The evaluation of solar farm locations applying Geographic Information System and Multi-Criteria Decision-Making methods: Case study in southern Morocco," Post-Print hal-01185533, HAL.
    3. Chung, Sung Hoon & Kwon, Changhyun, 2015. "Multi-period planning for electric car charging station locations: A case of Korean Expressways," European Journal of Operational Research, Elsevier, vol. 242(2), pages 677-687.
    4. Höhn, J. & Lehtonen, E. & Rasi, S. & Rintala, J., 2014. "A Geographical Information System (GIS) based methodology for determination of potential biomasses and sites for biogas plants in southern Finland," Applied Energy, Elsevier, vol. 113(C), pages 1-10.
    5. Atici, Kazim Baris & Simsek, Ahmet Bahadir & Ulucan, Aydin & Tosun, Mustafa Umur, 2015. "A GIS-based Multiple Criteria Decision Analysis approach for wind power plant site selection," Utilities Policy, Elsevier, vol. 37(C), pages 86-96.
    6. Tahri, Meryem & Hakdaoui, Mustapha & Maanan, Mohamed, 2015. "The evaluation of solar farm locations applying Geographic Information System and Multi-Criteria Decision-Making methods: Case study in southern Morocco," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1354-1362.
    7. Zachary P. Cano & Dustin Banham & Siyu Ye & Andreas Hintennach & Jun Lu & Michael Fowler & Zhongwei Chen, 2018. "Batteries and fuel cells for emerging electric vehicle markets," Nature Energy, Nature, vol. 3(4), pages 279-289, April.
    8. Sánchez-Lozano, Juan M. & Teruel-Solano, Jerónimo & Soto-Elvira, Pedro L. & Socorro García-Cascales, M., 2013. "Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 544-556.
    9. Li, Shunxi & Su, Bowen & St-Pierre, David L. & Sui, Pang-Chieh & Zhang, Guofang & Xiao, Jinsheng, 2017. "Decision-making of compressed natural gas station siting for public transportation: Integration of multi-objective optimization, fuzzy evaluating, and radar charting," Energy, Elsevier, vol. 140(P1), pages 11-17.
    10. Seddig, Katrin & Jochem, Patrick & Fichtner, Wolf, 2019. "Two-stage stochastic optimization for cost-minimal charging of electric vehicles at public charging stations with photovoltaics," Applied Energy, Elsevier, vol. 242(C), pages 769-781.
    11. 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.
    12. Guo, Sen & Zhao, Huiru, 2015. "Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective," Applied Energy, Elsevier, vol. 158(C), pages 390-402.
    13. Lee, Dong-Yeon & Elgowainy, Amgad & Vijayagopal, Ram, 2019. "Well-to-wheel environmental implications of fuel economy targets for hydrogen fuel cell electric buses in the United States," Energy Policy, Elsevier, vol. 128(C), pages 565-583.
    14. Sánchez-Lozano, J.M. & García-Cascales, M.S. & Lamata, M.T., 2016. "GIS-based onshore wind farm site selection using Fuzzy Multi-Criteria Decision Making methods. Evaluating the case of Southeastern Spain," Applied Energy, Elsevier, vol. 171(C), pages 86-102.
    15. Cho, Seolhee & Kim, Jiyong, 2019. "Multi-site and multi-period optimization model for strategic planning of a renewable hydrogen energy network from biomass waste and energy crops," Energy, Elsevier, vol. 185(C), pages 527-540.
    16. Autran Monteiro Gomes, Luiz Flávio & Duncan Rangel, LuI´s Alberto, 2009. "An application of the TODIM method to the multicriteria rental evaluation of residential properties," European Journal of Operational Research, Elsevier, vol. 193(1), pages 204-211, February.
    17. 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).
    18. Famoso, F. & Prestipino, M. & Brusca, S. & Galvagno, A., 2020. "Designing sustainable bioenergy from residual biomass: Site allocation criteria and energy/exergy performance indicators," Applied Energy, Elsevier, vol. 274(C).
    19. Qingpeng Cheng & Ye Tian & Shuaishuai Lyu & Na Zhao & Kui Ma & Tong Ding & Zheng Jiang & Lihua Wang & Jing Zhang & Lirong Zheng & Fei Gao & Lin Dong & Noritatsu Tsubaki & Xingang Li, 2018. "Confined small-sized cobalt catalysts stimulate carbon-chain growth reversely by modifying ASF law of Fischer–Tropsch synthesis," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
    20. Liu, Zongwei & Hao, Han & Cheng, Xiang & Zhao, Fuquan, 2018. "Critical issues of energy efficient and new energy vehicles development in China," Energy Policy, Elsevier, vol. 115(C), pages 92-97.
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    2. Alessandro Guzzini & Giovanni Brunaccini & Davide Aloisio & Marco Pellegrini & Cesare Saccani & Francesco Sergi, 2023. "A New Geographic Information System (GIS) Tool for Hydrogen Value Chain Planning Optimization: Application to Italian Highways," Sustainability, MDPI, vol. 15(3), pages 1-23, January.
    3. 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).
    4. Zhao, Tian & Liu, Zhixin & Jamasb, Tooraj, 2021. "Developing Hydrogen Infrastructure and Demand: An Evolutionary Game and the Case of China," Working Papers 18-2021, Copenhagen Business School, Department of Economics.
    5. 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.
    6. Wang, Yongli & Tao, Siyi & Chen, Xin & Huang, Feifei & Xu, Xiaomin & Liu, Xiaoli & Liu, Yang & Liu, Lin, 2022. "Method multi-criteria decision-making method for site selection analysis and evaluation of urban integrated energy stations based on geographic information system," Renewable Energy, Elsevier, vol. 194(C), pages 273-292.

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