Planning sustainable hydrogen supply chain infrastructure with uncertain demand

Muhammad Dayhim, Mohsen Jafari, Monica Mazurek

Research output: Contribution to journalArticle

35 Scopus citations

Abstract

This study introduces a multi-period optimization model taking into account the stochasticity and the effect of uncertainty in the hydrogen production, storage and usage in macro view (e.g. county level). The objective function includes minimization of total daily social cost of the hydrogen supply chain network with uncertain demand. There are several factors and key attributes, which influence consumer choice to buy a fuel cell vehicle. At the same time, consumer preference on the demand side is the most important factor in predicting changes in the auto market. A spatially aggregated demand model was developed to estimate the potential demand for fuel cell vehicles based on different household attributes such as income, education etc. These models were applied to evaluate the future hydrogen supply chain for State of New Jersey.

Original languageEnglish (US)
Pages (from-to)6789-6801
Number of pages13
JournalInternational Journal of Hydrogen Energy
Volume39
Issue number13
DOIs
StatePublished - Apr 24 2014

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All Science Journal Classification (ASJC) codes

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

Keywords

  • Clean energy in New Jersey
  • Hydrogen supply chain network
  • MILP
  • Spatially aggregated demand

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