Location optimization of hydrogen refueling stations in hydrogen expressway based on hydrogen supply chain cost

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Abstract

Hydrogen energy is regarded as an important way to achieve carbon emission reduction. This paper focuses on the combination of the design of the hydrogen supply chain network and the location of hydrogen refueling stations on the expressway. Based on the cost analysis of the hydrogen supply chain, a multi-objective model is developed to determine the optimal scale and location of hydrogen refueling stations on the hydrogen expressway. The proposed model considers the hydrogen demand forecast, hydrogen source selection, hydrogen production and storage and transportation, hydrogen station refueling mode, etc. Taking Dalian City, China as an example, with offshore wind power as a reliable green hydrogen supply to select the location and capacity of hydrogen refueling stations for the hydrogen energy demonstration section of a certain expressway under multiple scenarios. The results of the case show that 4 and 5 stations are optimized on the expressway section respectively, and the unit hydrogen cost is $14.3 /kg H2 and $11.8 /kg H2 respectively, which are equal to the average hydrogen price in the international range. The optimization results verify the feasibility and effectiveness of the model.

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Wang, D., Wang, Z., Han, F., Zhao, F., & Ji, Y. (2021). Location optimization of hydrogen refueling stations in hydrogen expressway based on hydrogen supply chain cost. In Frontiers in Artificial Intelligence and Applications (Vol. 341, pp. 368–374). IOS Press BV. https://doi.org/10.3233/FAIA210267

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