Evaluation of smart charging for electric vehicle-to-building integration: A case study
Abstract
Higher electric vehicle (EV) adoption will stress the importance of demand flexibility to achieve more economic, efficient, and reliable grid operation. Charging technologies will be paramount in shifting temporally to better fit the variable generation of wind and solar. As such, analysis is warranted on the benefits of EV charge scheduling with respect to installation cost, operation cost, difficulty of implementation, and grid flexibility. We tackle this by analyzing the cost savings of implementing an EV charge scheduling infrastructure to reduce demand charges and installation costs. In this paper, we analyze a case study for operation of 16 level 2 chargers and 1 fast charger for two different building types. We then evaluate various test phases for controlling building and charging loads using an adaptive charging network (ACN) algorithm to characterize the ACN’s potential to reduce overall project cost.
- Publication Date:
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- Wells Fargo Foundation; USDOE
- OSTI Identifier:
- 1659836
- Alternate Identifier(s):
- OSTI ID: 1692260
- Report Number(s):
- NREL/JA-5400-73285
Journal ID: ISSN 0306-2619; MainId:6467;UUID:7bb59097-3e2e-e911-9c1c-ac162d87dfe5;MainAdminID:13462
- Grant/Contract Number:
- AC36-08GO28308
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Applied Energy
- Additional Journal Information:
- Journal Volume: 266; Journal ID: ISSN 0306-2619
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 30 DIRECT ENERGY CONVERSION; charge scheduling; charging stations; demand response; electric vehicles; peak shaving
Citation Formats
Heredia, Willy Bernal, Chaudhari, Kalpesh, Meintz, Andrew, Jun, Myungsoo, and Pless, Shanti. Evaluation of smart charging for electric vehicle-to-building integration: A case study. United States: N. p., 2020.
Web. doi:10.1016/j.apenergy.2020.114803.
Heredia, Willy Bernal, Chaudhari, Kalpesh, Meintz, Andrew, Jun, Myungsoo, & Pless, Shanti. Evaluation of smart charging for electric vehicle-to-building integration: A case study. United States. https://doi.org/10.1016/j.apenergy.2020.114803
Heredia, Willy Bernal, Chaudhari, Kalpesh, Meintz, Andrew, Jun, Myungsoo, and Pless, Shanti. Fri .
"Evaluation of smart charging for electric vehicle-to-building integration: A case study". United States. https://doi.org/10.1016/j.apenergy.2020.114803. https://www.osti.gov/servlets/purl/1659836.
@article{osti_1659836,
title = {Evaluation of smart charging for electric vehicle-to-building integration: A case study},
author = {Heredia, Willy Bernal and Chaudhari, Kalpesh and Meintz, Andrew and Jun, Myungsoo and Pless, Shanti},
abstractNote = {Higher electric vehicle (EV) adoption will stress the importance of demand flexibility to achieve more economic, efficient, and reliable grid operation. Charging technologies will be paramount in shifting temporally to better fit the variable generation of wind and solar. As such, analysis is warranted on the benefits of EV charge scheduling with respect to installation cost, operation cost, difficulty of implementation, and grid flexibility. We tackle this by analyzing the cost savings of implementing an EV charge scheduling infrastructure to reduce demand charges and installation costs. In this paper, we analyze a case study for operation of 16 level 2 chargers and 1 fast charger for two different building types. We then evaluate various test phases for controlling building and charging loads using an adaptive charging network (ACN) algorithm to characterize the ACN’s potential to reduce overall project cost.},
doi = {10.1016/j.apenergy.2020.114803},
journal = {Applied Energy},
number = ,
volume = 266,
place = {United States},
year = {Fri Mar 20 00:00:00 EDT 2020},
month = {Fri Mar 20 00:00:00 EDT 2020}
}
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