EVI-OnDemand [SWR-21-115]

RESOURCE

Abstract

EVI-OnDemand is a simulation platform which estimates fast-charging infrastructure requirements necessary to support ride-hailing electrification. The tool belongs to the broader EVI-X family, a consortium of infrastructure modeling tools created by researchers at the National Renewable Energy Laboratory (NREL).
Developers:
Moniot, Matthew [1] Wood, Eric [1] Borlaug, Brennan [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Release Date:
2021-09-30
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Python
Licenses:
GNU General Public License v3.0
Sponsoring Org.:
Code ID:
133725
Site Accession Number:
NREL SWR-21-115
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Country of Origin:
United States

RESOURCE

Citation Formats

Moniot, Matthew, Wood, Eric, and Borlaug, Brennan. EVI-OnDemand [SWR-21-115]. Computer Software. https://github.com/NREL/EVI-OnDemand. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO). 30 Sep. 2021. Web. doi:10.11578/dc.20240628.4.
Moniot, Matthew, Wood, Eric, & Borlaug, Brennan. (2021, September 30). EVI-OnDemand [SWR-21-115]. [Computer software]. https://github.com/NREL/EVI-OnDemand. https://doi.org/10.11578/dc.20240628.4.
Moniot, Matthew, Wood, Eric, and Borlaug, Brennan. "EVI-OnDemand [SWR-21-115]." Computer software. September 30, 2021. https://github.com/NREL/EVI-OnDemand. https://doi.org/10.11578/dc.20240628.4.
@misc{ doecode_133725,
title = {EVI-OnDemand [SWR-21-115]},
author = {Moniot, Matthew and Wood, Eric and Borlaug, Brennan},
abstractNote = {EVI-OnDemand is a simulation platform which estimates fast-charging infrastructure requirements necessary to support ride-hailing electrification. The tool belongs to the broader EVI-X family, a consortium of infrastructure modeling tools created by researchers at the National Renewable Energy Laboratory (NREL).},
doi = {10.11578/dc.20240628.4},
url = {https://doi.org/10.11578/dc.20240628.4},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240628.4}},
year = {2021},
month = {sep}
}