California Plug-In Electric Vehicle Infrastructure Projections [electronic resource] : 2017-2025 - Future Infrastructure Needs for Reaching the State's Zero Emission-Vehicle Deployment Goals

• Ngôn ngữ: eng
• Ký hiệu phân loại: 629.22 Types of vehicles
• Thông tin xuất bản: Golden, Colo. : Oak Ridge, Tenn. : National Renewable Energy Laboratory (U.S.) ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2018
• Mô tả vật lý: Size: 2.0 MB : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 266481
• Chủ đề: 1. 33 advanced propulsion systems; 2. Charger projections; 3. Charging infrastructure; 4. Plug-in electric vehicles; 5. Zero-emission vehicles

Tóm tắt

This report analyzes plug-in electric vehicle (PEV) infrastructure needs in California from 2017 to 2025 in a scenario where the State's zero-emission vehicle (ZEV) deployment goals are achieved by household vehicles. The statewide infrastructure needs are evaluated by using the Electric Vehicle Infrastructure Projection tool, which incorporates representative statewide travel data from the 2012 California Household Travel Survey. The infrastructure solution presented in this assessment addresses two primary objectives: (1) enabling travel for battery electric vehicles and (2) maximizing the electric vehicle-miles traveled for plug-in hybrid electric vehicles. The analysis is performed at the county-level for each year between 2017 and 2025 while considering potential technology improvements. The results from this study present an infrastructure solution that can facilitate market growth for PEVs to reach the State's ZEV goals by 2025. The overall results show a need for 99k-130k destination chargers, including workplaces and public locations, and 9k-25k fast chargers. The results also show a need for dedicated or shared residential charging solutions at multi-family dwellings, which are expected to host about 120k PEVs by 2025. An improvement to the scientific literature, this analysis presents the significance of infrastructure reliability and accessibility on the quantification of charger demand.