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- Conflict of Interest
- In relation to this article, we declare that there is no conflict of interest.
- Publication history
-
Received March 13, 2023
Revised August 4, 2023
Accepted August 10, 2023
- Acknowledgements
- This research was supported by the Korea Hydro & Nuclear Power Co. Ltd. (2023). J. Ryu acknowledges the partial support from Dongguk University Research Fund.
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A data-based scheduling methodology for constructing hydrogen refueling stations
Department of Energy & Electricity Engineering, Dongguk University WISE Campus, Gyeongju 38066, South Korea
jhryu@dongguk.ac.kr
Korean Journal of Chemical Engineering, October 2023, 40(10), 2407-2418(12), 10.1007/s11814-023-1552-6
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Abstract
Hydrogen is drawing increasing attention as a carbon-neutral energy carrier. The effects of climate change
are increasing the pressure to establish a hydrogen energy infrastructure. To facilitate the transition to hydrogen energy,
a large number of hydrogen refueling stations (HRS)s will need to be constructed throughout the entire transportation
network. With a limited financial budget, constructing them simultaneously is not possible. However, it is economical
to develop a systematic decision-making framework for determining construction priorities for HRSs. In this study, we
propose p-median based mixed integer linear programming (MILP) models to establish location and construction priorities. The models aim to maximize the contribution impact that is represented by the sum of average distances
between HRS and its allocated hydrogen vehicles. The metropolitan city of South Korea, Seoul, is used as a case study
to illustrate the applicability of the proposed methodology.
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7. M. A. Nicholas, S. L. Handy and D. Sperling, Transp. Res. Rec.,1880(1), 126 (2004).
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