Vehicle Technology Adoption for Greenhouse Gas Mitigation

Purpose 

VTAG is a Python-based model for applying sales-based alternative vehicle consumer adoption curves to baseline U.S. Annual Energy Outlook vehicle sales projections in order to model the resulting automobile-related energy use and greenhouse gas emissions through 2050. The model is implemented on a county level and accounts for population growth, regional differences in driving behavior, and changes to fuel availability and vehicle fuel economy.

Audience 
Researchers in transportation life-cycle assessment and alternative fuel production scenarios
Developer(s) 
Corinne Scown, Thomas McKone, Arpad Horvath, Michael Taptich
Sponsor(s) 
LBNL

Status:

Contacts