Electric Fleet Adoption Strategies – Addressing Storage and Infrastructure Needs

Arun Raju and Alexander Vu

Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis

Abstract: Significant electrification of the transportation sector is necessary for the State to achieve several important greenhouse gas (GHG) reduction and renewable energy targets. The State’s electricity generation and transmission capabilities must increase in order to meet the demand generated by increasing levels of fleet electrification. The increased demand, combined with the Renewables Portfolio Standard (RPS) targets will require significantly increased energy storage capabilities that can accommodate demand while integrating renewable power sources into the grid. This project evaluated the mid to long-term energy storage needs of the electric grid for select fleet electrification scenarios. The analysis was conducted using Resolve, a power systems planning model, for RPS targets of 60% and 80% by 2030 and 2042 respectively. The results show that Electrical Energy Storage (EES) capacity requirements depend on a number of parameters, including Demand Response (DR), Electric Vehicle (EV) charging flexibility, and total EV population. The EES requirements for the 60% RPS scenarios range from 3.9 to 4.3 GW while for the 80% RPS scenarios, the range is from 18.5 to 20.4 GW. View the NCST Project Webpage

Keywords: Engineering; Computer models; Demand; Electric vehicles; Energy storage systems; Fleet management; Greenhouse gases; Grids (Transmission lines); Range (Vehicles); Vehicle fleets (search for similar items in EconPapers)
Date: 2020-07-01
New Economics Papers: this item is included in nep-ene, nep-reg and nep-tre
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.escholarship.org/uc/item/4t918623.pdf;origin=repeccitec (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cdl:itsdav:qt4t918623

Access Statistics for this paper

More papers in Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis Contact information at EDIRC.
Bibliographic data for series maintained by Lisa Schiff ().