A Dynamic Fleet Model of U.S Light-Duty Vehicle Lightweighting and Associated Greenhouse Gas Emissions from 2016 to 2050.


Journal

Environmental science & technology
ISSN: 1520-5851
Titre abrégé: Environ Sci Technol
Pays: United States
ID NLM: 0213155

Informations de publication

Date de publication:
19 02 2019
Historique:
pubmed: 27 1 2019
medline: 19 9 2019
entrez: 26 1 2019
Statut: ppublish

Résumé

Substituting conventional materials with lightweight materials is an effective way to reduce the life cycle greenhouse gas (GHG) emissions from light-duty vehicles. However, estimated GHG emission reductions of lightweighting depend on multiple factors including the vehicle powertrain technology and efficiency, lightweight material employed, and end-of-life material recovery. We developed a fleet-based life cycle model to estimate the GHG emission changes due to lightweighting the U.S. light-duty fleet from 2016 to 2050, using either high strength steel or aluminum as the lightweight material. Our model estimates that implementation of an aggressive lightweighting scenario using aluminum reduces 2016 through 2050 cumulative life cycle GHG emissions from the fleet by 2.9 Gt CO

Identifiants

pubmed: 30682256
doi: 10.1021/acs.est.8b04249
doi:

Substances chimiques

Greenhouse Gases 0
Vehicle Emissions 0
Steel 12597-69-2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2199-2208

Auteurs

Alexandre Milovanoff (A)

Department of Civil & Mineral Engineering , University of Toronto , 35 St. George Street , Toronto , Ontario M5S 1A4 Canada.

Hyung Chul Kim (HC)

Materials & Manufacturing R&A Department , Ford Motor Company , Dearborn , Michigan 48121-2053 , United States.

Robert De Kleine (R)

Materials & Manufacturing R&A Department , Ford Motor Company , Dearborn , Michigan 48121-2053 , United States.

Timothy J Wallington (TJ)

Materials & Manufacturing R&A Department , Ford Motor Company , Dearborn , Michigan 48121-2053 , United States.

I Daniel Posen (ID)

Department of Civil & Mineral Engineering , University of Toronto , 35 St. George Street , Toronto , Ontario M5S 1A4 Canada.

Heather L MacLean (HL)

Department of Civil & Mineral Engineering , University of Toronto , 35 St. George Street , Toronto , Ontario M5S 1A4 Canada.
Department of Chemical Engineering & Applied Chemistry , University of Toronto , 200 College Street , Toronto , Ontario M5S 3E5 Canada.

Articles similaires

India Carbon Sequestration Environmental Monitoring Carbon Biomass

Pattern detection in the vehicular activity of bus rapid transit systems.

Jaspe U Martínez-González, Alejandro P Riascos, José L Mateos
1.00
Motor Vehicles Transportation Algorithms Humans

Classifications MeSH