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International Journal of Hydrogen Energy
Article . 2024 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
International Journal of Hydrogen Energy
Article . 2024
License: unspecified
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A business model design for hydrogen refueling stations: A multi-level game approach

A Multi-level Game Approach
Authors: Tian Zhao; Zhixin Liu; Tooraj Jamasb;

A business model design for hydrogen refueling stations: A multi-level game approach

Abstract

There is currently a “mother-daughter” model for hydrogen refueling stations (HRS). On-site “mother” stations produce hydrogen from city natural gas or water electrolysis, and off-site “daughter” stations are supplied with hydrogen from nearby on-site stations. This HRS system is a micro hydrogen supply chain that includes hydrogen suppliers, retailers, and end consumers characterized via demand functions. The present paper designs an optimal business model for this distributed HRS system using a multi-level game model, given that on-site and off-site HRS can operate individually or as a coalition to supply hydrogen. Stackelberg game and Shapley value models are constructed to explore how cooperative operation is superior by generating more profits than separate operation. Accordingly, in order to promote cooperation between on-site and off-site operators of HRS, an evolutionary game model is developed to investigate the allocation of profits and coordinated costs on the equilibrium of cooperative operation. The authors conclude that boosting the initial probabilities of actors to choose cooperative strategies and decreasing the coordinated cost can lead the game system to the ideal consequence. The present paper offers recommendations including establishing regulation standards for HRS operation, and advancing the information technology to design a more effective cooperative mechanism.

Country
Denmark
Related Organizations
Keywords

Evolutionary game, Off-site HRS, Stackelberg game, On-site HRS, Shapley value, Business model

  • BIP!
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    citations
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    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Top 10%