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Sustainable transportation energy infrastructure for fuel cell vehicles
Descriptive
TitleInfo
Title
Sustainable transportation energy infrastructure for fuel cell vehicles
Name
(type = personal)
NamePart
(type = family)
Dayhim
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Muhammad
NamePart
(type = date)
1982-
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Muhammad Dayhim
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author
Name
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Jafari
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Mohsen A
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Mohsen A Jafari
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Advisory Committee
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chair
Name
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NamePart
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Mazurek
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Monica
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Monica Mazurek
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Advisory Committee
Role
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internal member
Name
(type = personal)
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(type = family)
Pham
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(type = given)
Hoang
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Hoang Pham
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Advisory Committee
Role
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internal member
Name
(type = personal)
NamePart
(type = family)
Williams
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(type = given)
Trefor
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Trefor Williams
Affiliation
Advisory Committee
Role
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internal member
Name
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Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
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NamePart
Graduate School - New Brunswick
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school
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Text
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theses
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2015
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(type = degree)
2015-10
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2015
Place
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xx
Language
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eng
Abstract
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Alternative 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.
Subject
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Topic
Interdisciplinary Ph.D. Program
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
Identifier
ETD_6859
PhysicalDescription
Form
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electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xi, 142 p. : ill.)
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Subject
(authority = ETD-LCSH)
Topic
Infrastructure (Economics)
Subject
(authority = ETD-LCSH)
Topic
Power resources
Subject
(authority = ETD-LCSH)
Topic
Alternative fuel vehicles
Note
(type = statement of responsibility)
by Muhammad Dayhim
RelatedItem
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
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doi:10.7282/T3RV0QNR
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Dayhim
GivenName
Muhammad
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(point = start)
2015-10-01 17:03:04
AssociatedEntity
Name
Muhammad Dayhim
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
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ETD
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windows xp
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