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Title: MOVES Activity Updates Using Fleet DNA Data: Interim Report

Abstract

The U.S. Environmental Protection Agency's Motor Vehicle Emissions Simulator (MOVES) is a publicly available tool used by researchers and policy makers to help understand motor vehicle emission sources at national, county, and project levels. However, estimates of heavy-duty activity (MOVES2014), have been identified as areas needing improvement. The start activities in MOVES2014 are calculated using a limited data set, prompting the concern that inventory values are not representative. In addition, MOVES2014 is believed to underestimate heavy-duty activity that is not captured in the current drive cycles used to represent on-network activity. For example, MOVES2014 does not account for work-day idling activity that takes place on off-network roads, such as at a distribution center while the truck is queuing or during loading and unloading. Under the guidance and expertise of the EPA, the National Renewable Energy Laboratory has leveraged its extensive Fleet DNA database of heavy-duty vehicles to reinforce the data set behind the next-generation MOVES model and enhance idle activity and start fractions using six heavy-duty vehicle classes. The data available in Fleet DNA from 420 conventional, diesel powered vehicles provided over 120,000 hours of operation. Start fraction, soak fraction, and idle fraction by hour of the day were derivedmore » for each source type, state, and vocation, and results were provided in the form of .CSV files representing MOVES table inputs. This midterm report details these results providing graphical analysis and context for the start, soak, and idle distributions.« less

Authors:
ORCiD logo [1]; ORCiD logo [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
U.S. Environmental Protection Agency (EPA), Washington, D.C. (United States)
OSTI Identifier:
1491376
Report Number(s):
NREL/TP-5400-70671
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; MOVES; EPA; Fleet DNA; heavy duty vehicles

Citation Formats

Kotz, Andrew J., and Kelly, Kenneth J. MOVES Activity Updates Using Fleet DNA Data: Interim Report. United States: N. p., 2019. Web. doi:10.2172/1491376.
Kotz, Andrew J., & Kelly, Kenneth J. MOVES Activity Updates Using Fleet DNA Data: Interim Report. United States. doi:10.2172/1491376.
Kotz, Andrew J., and Kelly, Kenneth J. Tue . "MOVES Activity Updates Using Fleet DNA Data: Interim Report". United States. doi:10.2172/1491376. https://www.osti.gov/servlets/purl/1491376.
@article{osti_1491376,
title = {MOVES Activity Updates Using Fleet DNA Data: Interim Report},
author = {Kotz, Andrew J. and Kelly, Kenneth J.},
abstractNote = {The U.S. Environmental Protection Agency's Motor Vehicle Emissions Simulator (MOVES) is a publicly available tool used by researchers and policy makers to help understand motor vehicle emission sources at national, county, and project levels. However, estimates of heavy-duty activity (MOVES2014), have been identified as areas needing improvement. The start activities in MOVES2014 are calculated using a limited data set, prompting the concern that inventory values are not representative. In addition, MOVES2014 is believed to underestimate heavy-duty activity that is not captured in the current drive cycles used to represent on-network activity. For example, MOVES2014 does not account for work-day idling activity that takes place on off-network roads, such as at a distribution center while the truck is queuing or during loading and unloading. Under the guidance and expertise of the EPA, the National Renewable Energy Laboratory has leveraged its extensive Fleet DNA database of heavy-duty vehicles to reinforce the data set behind the next-generation MOVES model and enhance idle activity and start fractions using six heavy-duty vehicle classes. The data available in Fleet DNA from 420 conventional, diesel powered vehicles provided over 120,000 hours of operation. Start fraction, soak fraction, and idle fraction by hour of the day were derived for each source type, state, and vocation, and results were provided in the form of .CSV files representing MOVES table inputs. This midterm report details these results providing graphical analysis and context for the start, soak, and idle distributions.},
doi = {10.2172/1491376},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {1}
}

Technical Report:

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