| Description |
1 online resource (7 p.) : col. ill., map. |
| Series |
NREL/CP ; 5400-49181 |
|
Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-5400-49181.
|
| Note |
Title from title screen (viewed January 17, 2011). |
| System Details |
Full text available via Internet in .pdf format. Adobe Acrobat Reader required. |
| Note |
"Presented at the 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exhibition, Shenzhen, China, November 5-9, 2010." |
|
"December 2010." |
| Summary |
The transition to electricity as a transportation fuel will create a new load for electricity generation. A set of regional hourly load profiles for electrified vehicles was developed for the 2010 to 2050 timeframe. The transportation electrical energy was determined using regional population forecast data, historical vehicle per capita data, and market penetration growth functions to determine the number of plug-in electric vehicles (PEVs) in each analysis region. Market saturation scenarios of 30% and 50% of sales of PEVs consuming on average ~6 kWh per day were considered. PEV aggregate load profiles from previous work were combined with vehicle population data to generate hourly loads on a regional basis. A transition from consumer-controlled charging toward utility-controlled charging was assumed such that by 2050 approximately 45% of the transportation energy demands could be delivered across four daily time slices under optimal control from the utility's perspective. This electrified transportation analysis resulted in an estimate for both the flexible load and fixed load shapes on a regional basis that may evolve under two PEV market penetration scenarios. |
| Bibliography |
Includes bibliographical references (p. 6). |
| Funding |
DE-AC36-08GO28308 FC10.2400 |
| Subject |
Electric vehicles -- Energy consumption -- Forecasting.
|
|
Electric power systems -- Load dispatching -- Forecasting.
|
|
Electric automobiles -- Energy consumption -- Forecasting.
|
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Transportation -- Energy consumption -- United States -- Forecasting.
|
| Added Author |
Mai, Trieu.
|
|
Kintner-Meyer, Michael.
|
|
National Renewable Energy Laboratory (U.S.)
|
| Gpo Item No. |
0430-P-04 (online) |
| Sudoc No. |
E 9.17:NREL/CP-5400-49181 |
|
