Strategic analysis of technical, commercial, and regulatory influences on the commercialization of hydrogen fuel cell vehicles
Name
958267822-MIT.pdf
Description
Full printable version
Size
5.23 MB
Format
Adobe PDF
Checksum (MD5)
f95bab79f02b5d62a0f106f16ba78b27
Author(s)
Millard, David A. (David Anthony)
Advisor(s)
David R. Keith and Wai K. Cheng.
Date Issued
2016
Publisher
Massachusetts Institute of Technology
Abstract
Increasing regulatory pressures are being applied to automotive manufacturers requiring them to reduce the negative impacts that their vehicles have on the environment. In response to these regulations, and evolving consumer preferences, manufacturers are heavily invested in identifying technologies to increase fuel economy and reduce greenhouse gas emissions. Alternative propulsion technologies, such as fuel cells, are of tremendous interest to provide these benefits. However, factors including refueling infrastructure requirements, technology costs, and consumer willingness-to-consider all significantly impact the commercial viability of hydrogen fuel cell vehicles (HFCVs). I develop a system dynamics model to explore the temporal importance of critical factors required to build a market for HFCVs that is sustainable in the long-term. This methodology allows for the following: 1) Infrastructure: Identification of optimal hydrogen infrastructure growth necessary in order to support HFCV adoption and minimize required fueling stations. Additionally, the conditions in which external construction and operational support may give way to organic growth can be determined. 2) HFCV Ownership Costs: A time-dependent characterization of vehicle price and ownership subsidies can be ascertained to facilitate adoption. 3) Familiarity Accumulation: Assessment of the marketing investment necessary to yield desired HFCV adoption while minimizing costs. 4) Regulatory Requirements: Projection of compliance with Zero Emission Vehicle (ZEV) Action Plan requirements, highlighting potential impacts and possible mitigation measures.
Description
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunction with the Leaders for Global Operations Program at MIT.
Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2016. In conjunction with the Leaders for Global Operations Program at MIT.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 46-47).
Subjects
Sloan School of Management.
Institute for Data, Systems, and Society.
Engineering Systems Division.
Leaders for Global Operations Program.
MIT Department
Leaders for Global Operations Program at MIT
Massachusetts Institute of Technology. Engineering Systems Division
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Sloan School of Management
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