Strategic design of hydrogen infrastructure considering cost and safety using multiobjective optimization

Jiyong Kim, il Moon

Research output: Contribution to journalArticle

63 Citations (Scopus)

Abstract

This study presents a method for the design of a hydrogen infrastructure system including production, storage and transportation of hydrogen. We developed a generic optimization-based model to support the decision-making process for the design of the hydrogen supply chain. The network design problem is formulated as a mixed integer linear programming (MILP) problem to identify the optimal supply chain configurations from various alternatives. The objective is to consider not only cost efficiency, but also safety. Since there is a trade-off between these two objectives, formal multiobjective optimization techniques are required to establish the optimal Pareto solutions that can then be used for decision-making purposes. With the model, the effects of demand uncertainty can be also analyzed by comparing the deterministic and the stochastic solutions. The features and capabilities of the model are illustrated through the application of future hydrogen infrastructure of Korea. The optimal Pareto solutions utilize both cost-oriented and safety-oriented strategies.

Original languageEnglish
Pages (from-to)5887-5896
Number of pages10
JournalInternational Journal of Hydrogen Energy
Volume33
Issue number21
DOIs
Publication statusPublished - 2008 Jan 1

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Multiobjective optimization
safety
costs
Hydrogen
optimization
decision making
hydrogen
Supply chains
Costs
Decision making
linear programming
Korea
Linear programming
integers
configurations

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Condensed Matter Physics
  • Energy Engineering and Power Technology

Cite this

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Strategic design of hydrogen infrastructure considering cost and safety using multiobjective optimization. / Kim, Jiyong; Moon, il.

In: International Journal of Hydrogen Energy, Vol. 33, No. 21, 01.01.2008, p. 5887-5896.

Research output: Contribution to journalArticle

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