This dissertation presents a unified framework for understanding plug-in electric vehicle (PEV) usage, with special focus on household factors, user preferences, and PEV technologies. The researcher also looks at energy, emissions, and infrastructure-related factors.
This research examines the differentiation between HEV, PHEV and BEV users in Puget Sound Regional Council regarding the aspects of user household socio-demographic attributes, daily travel pattern and energy usage profile.
This study identifies heavily-trafficked freight truck routes of optimal distances in Georgia and quantifies electrification benefits for fleets operating on these corridors by integrating outputs from MOVES Matrix, the Argonne National Laboratory’s GREET Model, the Georgia Tech Fuel and Emissions Calculator (FEC), and other models into a web-based tool.
This dissertation develops an integrated modeling framework for advanced biofuel production system from dedicated energy crops under uncertainty. The goal of this framework is to support strategic infrastructure development and policy making for bioenergy production systems.