Design of a future hydrogen supply chain: A multi-objective model for Turkey

Ahmet Erdoğan*, Ebru Geçici, Mehmet Güray Güler

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

One of the important alternatives to conventional fossil fuel vehicles in the transportation sector is hydrogen fuel cell vehicle (HFCV) technology. One of the most significant obstacles to the widespread use of these vehicles is the hydrogen supply chain network (HSC) infrastructure. In the design of this network, the harm caused by the network to the environment and the security risks that may arise are as important as the associated cost of building it. In this study, an HSC design that will minimize cost, carbon emission and security risk for Turkey is proposed. The problem is modeled using a mixed integer linear programming (MILP). Five different optimization cases are studied when the penetration rate of HFCV is 25%. In the first three cases, the objectives are independently optimized. The multi-objective optimization is addressed in Case 4 and Case 5. Case 4 is solved with epsilon constraint method by employing the results of the first three cases. The most balanced solution found is 88%, 10% and 2% away from the best cost, carbon emission and risk values, respectively. It is observed that the proposed solution has a decentralized network structure where steam methane reforming (SMR) and electrolysis (ELE) production plants are established. In Case 5, the weighted sum method (another multi-objective optimization method) is used and those which gave the closest results to that of the epsilon constraint method are chosen as the associated weights of three objectives. Using these weights, 10 different demand scenarios are studied. It is observed that the HSC has a decentralized structure under almost all demand scenarios.

Original languageEnglish
Pages (from-to)11775-11789
Number of pages15
JournalInternational Journal of Hydrogen Energy
Volume48
Issue number31
DOIs
Publication statusPublished - 12 Apr 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 Hydrogen Energy Publications LLC

Keywords

  • Hydrogen supply chain
  • Mixed integer linear programming
  • Multi-objective optimization

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