Automated Transit Fleet Electrification Planning in Response to Route Dynamics, Vehicle Utilization, and Local Climate
DOI
10.2172/1798710
Publicly accessible
License
Transit electrification is difficult, requiring the consideration of many factors including route dynamics, vehicle utilization, and local ambient temperatures. Incumbent planning tools typically rely upon static vehicle efficiency numbers which do not consider local factors specific to each fleet. This paper summarizes a collaboration between NREL and Microgrid Labs, which produced an automated sizing tool capable of producing vehicle battery and motor sizing for drop-in electrification. Furthermore, the workflow also exports the electric-vehicle supply equipment needed to support fleet electrification. The paper summarizes the model theory and includes a sample pilot study performed in support of the Via Mobility transit fleet.
Citation Formats
TY - DATA
AB - Transit electrification is difficult, requiring the consideration of many factors including route dynamics, vehicle utilization, and local ambient temperatures. Incumbent planning tools typically rely upon static vehicle efficiency numbers which do not consider local factors specific to each fleet. This paper summarizes a collaboration between NREL and Microgrid Labs, which produced an automated sizing tool capable of producing vehicle battery and motor sizing for drop-in electrification. Furthermore, the workflow also exports the electric-vehicle supply equipment needed to support fleet electrification. The paper summarizes the model theory and includes a sample pilot study performed in support of the Via Mobility transit fleet.
AU - Ficenec, Karen
A2 - Payne, Grant
A3 - Miller, Eric
A4 - Moniot, Matthew
A5 - Sankar, Narayanan
A6 - Singh, Namit
A7 - Levy, Jonathan
DB - C-MIX - Community Microgrid Information Exchange
DP - Open EI | National Laboratory of the Rockies
DO - 10.2172/1798710
KW - Electric vehicles
KW - Electric vehicle charging
KW - Battery energy storage
KW - Solar
KW - Photovoltaics
KW - PV
KW - Diesel generators
KW - Other liquid-fuel generators
KW - Financing
KW - Business models
KW - Planning and design
KW - Planning
KW - Design
KW - Case studies
KW - Performance
LA - English
DA - 2021/06/01
PY - 2021
PB - NLR
T1 - Automated Transit Fleet Electrification Planning in Response to Route Dynamics, Vehicle Utilization, and Local Climate
UR - https://doi.org/10.2172/1798710
ER -
Ficenec, Karen, et al. Automated Transit Fleet Electrification Planning in Response to Route Dynamics, Vehicle Utilization, and Local Climate. NLR, 1 June, 2021, C-MIX - Community Microgrid Information Exchange. https://doi.org/10.2172/1798710.
Ficenec, K., Payne, G., Miller, E., Moniot, M., Sankar, N., Singh, N., & Levy, J. (2021). Automated Transit Fleet Electrification Planning in Response to Route Dynamics, Vehicle Utilization, and Local Climate. [Data set]. C-MIX - Community Microgrid Information Exchange. NLR. https://doi.org/10.2172/1798710
Ficenec, Karen, Grant Payne, Eric Miller, Matthew Moniot, Narayanan Sankar, Namit Singh, and Jonathan Levy. Automated Transit Fleet Electrification Planning in Response to Route Dynamics, Vehicle Utilization, and Local Climate. NLR, June, 1, 2021. Distributed by C-MIX - Community Microgrid Information Exchange. https://doi.org/10.2172/1798710
@misc{CMIX_Dataset_269,
title = {Automated Transit Fleet Electrification Planning in Response to Route Dynamics, Vehicle Utilization, and Local Climate},
author = {Ficenec, Karen and Payne, Grant and Miller, Eric and Moniot, Matthew and Sankar, Narayanan and Singh, Namit and Levy, Jonathan },
abstractNote = {Transit electrification is difficult, requiring the consideration of many factors including route dynamics, vehicle utilization, and local ambient temperatures. Incumbent planning tools typically rely upon static vehicle efficiency numbers which do not consider local factors specific to each fleet. This paper summarizes a collaboration between NREL and Microgrid Labs, which produced an automated sizing tool capable of producing vehicle battery and motor sizing for drop-in electrification. Furthermore, the workflow also exports the electric-vehicle supply equipment needed to support fleet electrification. The paper summarizes the model theory and includes a sample pilot study performed in support of the Via Mobility transit fleet.},
url = {https://cmix.openei.org/submissions/269},
year = {2021},
howpublished = {C-MIX - Community Microgrid Information Exchange, NLR, https://doi.org/10.2172/1798710},
note = {Accessed: 2026-10-13},
doi = {10.2172/1798710}
}
https://dx.doi.org/10.2172/1798710
Details
Data from Jun 1, 2021
Last updated Mar 30, 2026
Submitted Jun 2, 2026
Organization
NLR
Contact
Karen Ficenec
Authors
