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http://hdl.handle.net/1942/15313
Title: | Activity-Based Modeling to Predict Spatial and Temporal Power Demand of Electric Vehicles in Flanders, Belgium | Authors: | KNAPEN, Luk KOCHAN, Bruno BELLEMANS, Tom JANSSENS, Davy WETS, Geert |
Issue Date: | 2012 | Publisher: | NATL ACAD SCIENCES | Source: | TRANSPORTATION RESEARCH RECORD (2287), p. 146-154 | Abstract: | Electric power demand for household-generated traffic was estimated as a function of time and space for the region of Flanders, Belgium. An activity-based model was used to predict traffic demand. Electric vehicle (EV) type and charger characteristics were determined on the basis of car ownership and on the assumption that the market shares of EV categories would be similar to the current ones for internal combustion engine vehicles published in government statistics. Charging opportunities at home and work locations were derived from the predicted schedules and the estimation of the possibility to charge at work. Simulations were run for several levels of EV market penetration and for specific ratios of battery-only electric vehicles (BEVs) to pluggable hybrid electric vehicles. A single car was used to drive all trips in a daily schedule. Most of the Flemish schedules could be driven entirely by a BEV even after the published range values were reduced to account for range anxiety and for the overestimated ranges resulting from tests in accordance with standards. The current overnight period for low-tariff electricity was found to be sufficiently long to allow for individual cost optimizing while minimizing the peaks for overall power demand. | Notes: | Wets, G (reprint author), Hasselt Univ, Transportat Res Inst IMOB, Wetenschapspk 5,Bus 6, B-3590 Diepenbeek, Belgium. geert.wets@uhasselt.be | Keywords: | Engineering, Civil; Transportation; Transportation Science & Technology | Document URI: | http://hdl.handle.net/1942/15313 | ISSN: | 0361-1981 | e-ISSN: | 2169-4052 | DOI: | 10.3141/2287-18 | ISI #: | 000311918500019 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2014 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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knapen.pdf | Peer-reviewed author version | 220.94 kB | Adobe PDF | View/Open |
2287-18.pdf Restricted Access | Published version | 653.78 kB | Adobe PDF | View/Open Request a copy |
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