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A Review of the Optimization Strategies and Methods Used to Locate Hydrogen Fuel Refueling Stations

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  • Nithin Isaac

    (Howard College Campus, University of KwaZulu-Natal, Durban 4041, South Africa)

  • Akshay K. Saha

    (Howard College Campus, University of KwaZulu-Natal, Durban 4041, South Africa)

Abstract

Increasing sales of conventional fuel-based vehicles are leading to an increase in carbon emissions, which are dangerous to the environment. To reduce these, conventional fuel-based vehicles must be replaced with alternative fuel vehicles such as hydrogen-fueled. Hydrogen can fuel vehicles with near-zero greenhouse gas emissions. However, to increase the penetration of such alternative fuel vehicles, there needs to be adequate infrastructure, specifically, refueling infrastructure, in place. This paper presents a comprehensive review of the different optimization strategies and methods used in the location of hydrogen refueling stations. The findings of the review in this paper show that there are various methods which can be used to optimally locate refueling stations, the most popular being the p-median and flow-capture location models. It is also evident from the review that there are limited studies that consider location strategies of hydrogen refueling stations within a rural setting; most studies are focused on urban locations due to the high probability of penetration into these areas. Furthermore, it is apparent that there is still a need to incorporate factors such as the safety elements of hydrogen refueling station construction, and for risk assessments to provide more robust, realistic solutions for the optimal location of hydrogen refueling stations. Hence, the methods reviewed in this paper can be used and expanded upon to create useful and accurate models for a hydrogen refueling network. Furthermore, this paper will assist future studies to achieve an understanding of the extant studies on hydrogen refueling station and their optimal location strategies.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2171-:d:1078708
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    Cited by:

    1. 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.
    2. Yi Guo & Qi Wang & Maofei Geng & Xueyuan Peng & Jianmei Feng, 2023. "Effects of Liquid Density on the Gas-Liquid Interaction of the Ionic Liquid Compressor for Hydrogen Storage," Energies, MDPI, vol. 16(7), pages 1-20, April.
    3. Nithin Isaac & Akshay Kumar Saha, 2023. "Analysis of Refueling Behavior Models for Hydrogen-Fuel Vehicles: Markov versus Generalized Poisson Modeling," Sustainability, MDPI, vol. 15(18), pages 1-16, September.

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