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Sustainable transportation energy infrastructure for fuel cell vehicles
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Dayhim, Muhammad. Sustainable transportation energy infrastructure for fuel cell vehicles. Retrieved from https://doi.org/doi:10.7282/T3RV0QNR

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TitleSustainable transportation energy infrastructure for fuel cell vehicles
NameDayhim, Muhammad (author); Jafari, Mohsen A (chair); Mazurek, Monica (internal member); Pham, Hoang (internal member); Williams, Trefor (internal member); Rutgers University; Graduate School - New Brunswick
Date Created2015
Other Date2015-10 (degree)
SubjectInterdisciplinary Ph.D. Program, Infrastructure (Economics), Power resources, Alternative fuel vehicles
Extent1 online resource (xi, 142 p. : ill.)
DescriptionAlternative Fuel vehicle (AFV) technology and supporting energy infrastructure will become very important as the United States moves towards oil independence and environmentally sustainable economy. The current vehicle fueling infrastructure is not capable of supporting AFV technologies, and there are substantial economic and technical challenges and barriers that must be overcome in the near future. It is expected that AFV technology will require a massive infrastructure redesign and reinvestment constrained on environmental sustainability, economic efficiency, safety, security, public policy and incentives, and consumer acceptance. Hydrogen has the great potential to become one of the major energy carrier in the future energy system especially for fuel cell vehicles. The objective of this dissertation is to address and solve these interconnected key problems: (1) how to design and plan a sustainable regional infrastructure for hydrogen fuel supply chain network under uncertain demand; and (2) in what capacity and location the infrastructure will need at the macro and micro levels. We introduce a multi-period optimization model taking into account the stochasticity and the effect of uncertainty in hydrogen production, storage and usage in macro view (U.S. county level).We develop a spatially aggregated demand model to estimate the potential demand for fuel cell vehicles based on different household attributes such as income and education among others. We propose a Geographic Information System (GIS)-based Multi-Criteria Decision Making (MCDM) tool which finds the suitable locations for a hydrogen fueling station by considering factors such as land availability, air quality, and energy source availability. The results are used to choose the optimal locations for the location allocation model by maximizing the customer demand coverage. We also propose a location allocation model which identifies the optimal locations among suitable locations by maximizing the customer demand coverage based on the capacitated Maximal Covering Location Problem (MCLP). Also, the model captures the hydrogen demand uncertainty and measures the location risk of having hydrogen fuel shortage in future. In this dissertation we also propose a life cycle assessment (LCA) and economic assessment model to compare different waste to energy methods for transportation use.
NotePh.D.
NoteIncludes bibliographical references
Noteby Muhammad Dayhim
Genretheses, ETD doctoral
Persistent URLhttps://doi.org/doi:10.7282/T3RV0QNR
Languageeng
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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