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A mixed-integer linear programming model for optimizing green hydrogen supply chain networks
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DOI：10.1016/j.ijhydene.2025.02.138.png)
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Abstract
En 中文
The green hydrogen supply chain has an increasing interest as a promising alternative for a low-carbon economy transition. Challenges related to this fuel's production, storage, and distribution infrastructure are widely investigated in this field. Therefore, this article proposes a mixed-integer linear programming (MILP) model for the optimized green hydrogen supply chain design, considering the distribution of renewable energy and hydrogen from the production plants to the final demand. The objective function is to minimize the total costs, considering the available technological options at each stage. Through this model, the quantity, type, and location of production plants, transportation modes, and storage facilities will be determined to achieve an efficient and cost-effective operation in its application in the case study located in Cear & aacute;, Brazil's northeast state. Therefore, three scenarios representing cases of increased demand were simulated to demonstrate the output results from the proposed model. The costs per unit of produced hydrogen decreased by 36.24% between pessimistic and optimistic scenarios. Consequently, the results of this study provide insights for decision- making regarding the infrastructure and operation of the green hydrogen supply chain. Potential areas for further investigation include incorporating additional stages in the objective function, expanding technological pathways, enhancing spatiotemporal analysis, and assessing socio-environmental impacts.
Keywords:
Optimization
Hydrogen infrastructure
Renewable hydrogen economy
Renewable energies
Journal
IF:
8.3
Papers:
5.4W
Citations:
23.1W