| Title | Multi-Scale Model of the U.S. Transportation Energy Market for Policy Assessment |
|---|---|
| Record ID | 47947 |
| Personal Name Creator |
Eppstein, Margaret J.; Rizzo, Donna M.; Marshall, Jeffrey S. |
| Corporate Creator | University of Vermont. College of Engineering and Mathematical Sciences |
| Publisher | University of Vermont. Transportation Research Center |
| Publication Date | 20130601 |
| Language | English |
| Abstract | Across the globe, issues related to energy, its sources, uses, and impacts on climate change are at the forefront of political and environmental debates (e.g., the 2012 United Nations Climate Change Conference at Doha, http://unfccc.int). Currently, transportation accounts for approximately one third of greenhouse gas (GHG) emissions in the U.S., and is its fastest growing source. Plug-in hybrid electric vehicles (PHEVs) offer advantages to both the environment and the consumer. By powering more transportation through the electric grid, PHEVs may significantly reduce GHG emissions. The degree to which this can occur depends on current regional sources of electric power generation, the ability of Smart Grid technologies to improve grid efficiency and reduce peak demands, and shifts in power generation from coal to cleaner sources, including natural gas and renewables (e.g., wind, solar). Potential vehicle-to-grid technologies could further reduce peak demands and therefore have a positive feedback on the grid efficiency. In addition, PHEVs and all-electric vehicles (EVs) have projected lifecycle costs that are much lower than either hydrogen fuel-cell or internal combustion engines [14]. From the consumer perspective, PHEVs can provide large savings in fuel costs without the range limitations of EVs; the EPA/DOT sticker data for the 2013 Chevy Volt states that the vehicle “will save $6850 in fuel costs over 5 years compared to the average new vehicle”. |
| Rosap ID | dot:26104 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/26104 |
| TRT Terms | Climate change; Renewable energy sources; Electric automobiles; Market assessment; Transportation policy; Economic models; Neural networks; Information processing |
| General Subjects | Research Hub; Market assessment; Economic models; policy |
| Classification | NTL - ENERGY AND ENVIRONMENT - ENERGY AND ENVIRONMENT; NTL - PLANNING AND POLICY - PLANNING AND POLICY |
| Geographical Coverage |
United States |
| Report Number | 13-004 |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/47000/47900/47947/TRC-Sig5-FinalReport_20181017.pdf |
| Format | |
| Database | NTL Digital Repository |