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Title: NOVA-NREL Optimal Vehicle Acquisition Analysis (Brochure)

Abstract

Federal fleet managers face unique challenges in accomplishing their mission - meeting agency transportation needs while complying with Federal goals and mandates. Included in these challenges are a variety of statutory requirements, executive orders, and internal goals and objectives that typically focus on petroleum consumption and greenhouse gas (GHG) emissions reductions, alternative fuel vehicle (AFV) acquisitions, and alternative fuel use increases. Given the large number of mandates affecting Federal fleets and the challenges faced by all fleet managers in executing day-to-day operations, a primary challenge for agencies and other organizations is ensuring that they are as efficient as possible in using constrained fleet budgets. An NREL Optimal Vehicle Acquisition (NOVA) analysis makes use of a mathematical model with a variety of fleet-related data to create an optimal vehicle acquisition strategy for a given goal, such as petroleum or GHG reduction. The analysis can helps fleets develop a vehicle acquisition strategy that maximizes petroleum and greenhouse gas reductions.

Authors:
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1010458
Report Number(s):
NREL/BR-7A20-50064
TRN: US201108%%441
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Technical Report
Resource Relation:
Related Information: NREL (National Renewable Energy Laboratory)
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY AND ECONOMY; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 54 ENVIRONMENTAL SCIENCES; ALTERNATIVE FUELS; EXECUTIVE ORDERS; GREENHOUSE GASES; MATHEMATICAL MODELS; PETROLEUM; VEHICLES; FEDERAL FLEETS; FLEET MANAGERS; AGENCY TRANSPORTATION NEEDS; FEDERAL GOALS AND MANDATES; REDUCE PETROLEUM CONSUMPTION; REDUCE GREENHOUSE GAS EMISSIONS; GHG EMISSION REDUCTIONS; ALTERNATIVE FUEL VEHICLE ACQUISITIONS; AFVS; ALTERNATIVE FUEL USE INCREASE; FLEET BUDGET MANAGEMENT; NATIONAL RENEWABLE ENERGY LABORATORY; NREL; NREL OPTIMAL VEHICLE ACQUISITION ANALYSIS; NOVA ANALYSIS; MATHEMATICAL FLEET DATA MODEL; OPTIMAL VEHICLE ACQUISITION STRATEGY; MAXIMIZE PETROLEUM AND GREENHOUSE GAS REDUCTIONS; Deployment and Industrial Partnerships; Deployment and Market Transformation; Transportation

Citation Formats

Blakley, H. NOVA-NREL Optimal Vehicle Acquisition Analysis (Brochure). United States: N. p., 2011. Web. doi:10.2172/1010458.
Blakley, H. NOVA-NREL Optimal Vehicle Acquisition Analysis (Brochure). United States. doi:10.2172/1010458.
Blakley, H. Tue . "NOVA-NREL Optimal Vehicle Acquisition Analysis (Brochure)". United States. doi:10.2172/1010458. https://www.osti.gov/servlets/purl/1010458.
@article{osti_1010458,
title = {NOVA-NREL Optimal Vehicle Acquisition Analysis (Brochure)},
author = {Blakley, H.},
abstractNote = {Federal fleet managers face unique challenges in accomplishing their mission - meeting agency transportation needs while complying with Federal goals and mandates. Included in these challenges are a variety of statutory requirements, executive orders, and internal goals and objectives that typically focus on petroleum consumption and greenhouse gas (GHG) emissions reductions, alternative fuel vehicle (AFV) acquisitions, and alternative fuel use increases. Given the large number of mandates affecting Federal fleets and the challenges faced by all fleet managers in executing day-to-day operations, a primary challenge for agencies and other organizations is ensuring that they are as efficient as possible in using constrained fleet budgets. An NREL Optimal Vehicle Acquisition (NOVA) analysis makes use of a mathematical model with a variety of fleet-related data to create an optimal vehicle acquisition strategy for a given goal, such as petroleum or GHG reduction. The analysis can helps fleets develop a vehicle acquisition strategy that maximizes petroleum and greenhouse gas reductions.},
doi = {10.2172/1010458},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {3}
}

Technical Report:

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