charging

This dissertation focuses primarily on the system analysis of critical infrastructure systems (CIS), with a particular interest to address the modeling and computational challenges brought by uncertainties, interdependencies and distributed decision making of various components and stakeholders involved in CIS.

This data supports the project of the same name, which explored how locating charging facilities at California's highway rest stops might impact electricity demand, grid operation, and integration of renewables like solar and wind into California's energy mix.

This research studied the feasibility of the deployment of renewable hydrogen fueling for fuel cell electric vehicles and DC fast charging stations for plug-in electric vehicles at highway safety roadside rest areas and the integration of stations with the electricity grid in California.

This policy brief summarizes findings from researchers at the University of California, Davis, who collected state travel data and electricity demand data to run a model that identified optimal highway rest areas for electric vehicle charger installation and calculated how an increase in charging demand would affect the California electricity grid at selected highway locations.