Electric Fleet Adoption Strategies – Addressing Storage and Infrastructure Needs
Principal Investigator: Arun Raju
| University of California, Riverside
The goal of the project is to evaluate mid to long-term energy storage needs of the electric grid for select fleet electrification scenarios. The researchers will compare grid-tied, behind the meter, and smart grid storage options, and will examine the feasibility of long-term storage through the ‘power to gas’ approach. The project will identify cost effective and practical solutions to manage the increasing renewables integration in the fleet electrification context. The Resolve model, an advanced power systems planning model developed for the California Public Utilities Commission will be used to conduct the core analysis. Designed to answer planning and operational questions related to renewable resource integration, resolve co-optimizes investment and dispatch over a multi-year horizon with one-hour dispatch resolution for a study area, and solves for the optimal investments in renewable resources, technologies, and energy storage options. The deliverables will include cost and electric infrastructure needs for anticipated transportation electrification trends, and energy storage and responsive demand strategy recommendations.
Status: In Progress
NCST Grant Cycle: NCST Caltrans 2018-2019
Sponsors: California Department of Transportation