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Preference Structure on the Design of Hydrogen Refueling Stations to Activate Energy Transition

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  • Soyeong Park

    (Department of Industrial and Management Systems Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin, Gyeonggi 17104, Korea)

  • Solji Nam

    (Department of Industrial and Management Systems Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin, Gyeonggi 17104, Korea)

  • Myoungjin Oh

    (Department of Industrial and Management Systems Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin, Gyeonggi 17104, Korea)

  • Ie-jung Choi

    (Center of Public R&D Program Evaluation, Science and Technology Policy Institute (STEPI), A-3F Sejong National Research Complex, 370 Sicheong-daero, Sejong-si 30147, Korea)

  • Jungwoo Shin

    (Department of Industrial and Management Systems Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin, Gyeonggi 17104, Korea)

Abstract

As a countermeasure to the greenhouse gas problem, the world is focusing on alternative fuel vehicles (AFVs). The most prominent alternatives are battery electric vehicles (BEV) and fuel cell electric vehicles (FCEVs). This study examines FCEVs, especially considering hydrogen refueling stations to fill the gap in the research. Many studies suggest the important impact that infrastructure has on the diffusion of AFVs, but they do not provide quantitative preferences for the design of hydrogen refueling stations. This study analyzes and presents a consumer preference structure for hydrogen refueling stations, considering the production method, distance, probability of failure to refuel, number of dispensers, and fuel costs as core attributes. For the analysis, stated preference data are applied to choice experiments, and mixed logit is used for the estimation. Results indicate that the supply stability of hydrogen refueling stations is the second most important attribute following fuel price. Consumers are willing to pay more for green hydrogen compared to gray hydrogen, which is hydrogen produced by fossil fuels. Driver fuel type and perception of hydrogen energy influence structure preference. Our results suggest a specific design for hydrogen refueling stations based on the characteristics of user groups.

Suggested Citation

  • Soyeong Park & Solji Nam & Myoungjin Oh & Ie-jung Choi & Jungwoo Shin, 2020. "Preference Structure on the Design of Hydrogen Refueling Stations to Activate Energy Transition," Energies, MDPI, vol. 13(15), pages 1-13, August.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:3959-:d:393279
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    as
    1. Fredrik Carlsson & Olof Johansson-Stenman, 2000. "Willingness to pay for improved air quality in Sweden," Applied Economics, Taylor & Francis Journals, vol. 32(6), pages 661-669.
    2. Hackbarth, André & Madlener, Reinhard, 2016. "Willingness-to-pay for alternative fuel vehicle characteristics: A stated choice study for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 89-111.
    3. Shin, Jungwoo & Hwang, Won-Sik & Choi, Hyundo, 2019. "Can hydrogen fuel vehicles be a sustainable alternative on vehicle market?: Comparison of electric and hydrogen fuel cell vehicles," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 239-248.
    4. Mark Stewart, 2006. "Maximum simulated likelihood estimation of random-effects dynamic probit models with autocorrelated errors," Stata Journal, StataCorp LP, vol. 6(2), pages 256-272, June.
    5. Gnann, Till & Plötz, Patrick, 2015. "A review of combined models for market diffusion of alternative fuel vehicles and their refueling infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 783-793.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    7. Longo, Alberto & Markandya, Anil & Petrucci, Marta, 2008. "The internalization of externalities in the production of electricity: Willingness to pay for the attributes of a policy for renewable energy," Ecological Economics, Elsevier, vol. 67(1), pages 140-152, August.
    8. Hyundo Choi & Sangook Park & Jeong-dong Lee, 2011. "Government-driven knowledge networks as precursors to emerging sectors: a case of the hydrogen energy sector in Korea," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 20(3), pages 751-787, June.
    9. Dean R. Hyslop, 1999. "State Dependence, Serial Correlation and Heterogeneity in Intertemporal Labor Force Participation of Married Women," Econometrica, Econometric Society, vol. 67(6), pages 1255-1294, November.
    10. Das, Himadry Shekhar & Tan, Chee Wei & Yatim, A.H.M., 2017. "Fuel cell hybrid electric vehicles: A review on power conditioning units and topologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 268-291.
    11. Shin, Jungwoo & Woo, JongRoul & Huh, Sung-Yoon & Lee, Jongsu & Jeong, Gicheol, 2014. "Analyzing public preferences and increasing acceptability for the Renewable Portfolio Standard in Korea," Energy Economics, Elsevier, vol. 42(C), pages 17-26.
    12. Oshiro, Ken & Masui, Toshihiko, 2015. "Diffusion of low emission vehicles and their impact on CO2 emission reduction in Japan," Energy Policy, Elsevier, vol. 81(C), pages 215-225.
    13. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    14. Kim, Ju-Hee & Kim, Hyo-Jin & Yoo, Seung-Hoon, 2019. "Willingness to pay for fuel-cell electric vehicles in South Korea," Energy, Elsevier, vol. 174(C), pages 497-502.
    15. Shin, Jungwoo & Park, Yuri & Lee, Daeho, 2016. "Strategic management of over-the-top services: Focusing on Korean consumer adoption behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 329-337.
    16. Ziegler, Andreas, 2012. "Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: A discrete choice analysis for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1372-1385.
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    1. Matteo Genovese & David Blekhman & Michael Dray & Francesco Piraino & Petronilla Fragiacomo, 2023. "Experimental Comparison of Hydrogen Refueling with Directly Pressurized vs. Cascade Method," Energies, MDPI, vol. 16(15), pages 1-14, August.
    2. Ko, Sungmin & Shin, Jungwoo, 2023. "Projection of fuel cell electric vehicle demand reflecting the feedback effects between market conditions and market share affected by spatial factors," Energy Policy, Elsevier, vol. 173(C).
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    4. José A. Ventura, 2023. "Climate Benefits Advocated by the Development of Sustainable Vehicles and Charging Infrastructures in the Transport Sector," Energies, MDPI, vol. 16(9), pages 1-5, April.
    5. Agustín Álvarez Coomonte & Zacarías Grande Andrade & Rocio Porras Soriano & José Antonio Lozano Galant, 2024. "Review of the Planning and Distribution Methodologies to Locate Hydrogen Infrastructure in the Territory," Energies, MDPI, vol. 17(1), pages 1-25, January.
    6. Alessandra Perna & Mariagiovanna Minutillo & Simona Di Micco & Elio Jannelli, 2022. "Design and Costs Analysis of Hydrogen Refuelling Stations Based on Different Hydrogen Sources and Plant Configurations," Energies, MDPI, vol. 15(2), pages 1-22, January.
    7. Park, Soyeong & Maeng, Kyuho & Shin, Jungwoo, 2023. "Efficient subsidy distribution for hydrogen fuel cell vehicles based on demand segmentation," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    8. Olivier Bethoux, 2020. "Hydrogen Fuel Cell Road Vehicles and Their Infrastructure: An Option towards an Environmentally Friendly Energy Transition," Energies, MDPI, vol. 13(22), pages 1-27, November.

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