Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/17216
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dc.contributor.authorGonzález, J.-
dc.contributor.authorAlvaro, Roberto-
dc.contributor.authorGarnallo, C.-
dc.contributor.authorFuentes, M.-
dc.contributor.authorFraile-Ardanuy, J.-
dc.contributor.authorKNAPEN, Luk-
dc.contributor.authorJANSSENS, Davy-
dc.date.accessioned2014-10-07T11:53:34Z-
dc.date.available2014-10-07T11:53:34Z-
dc.date.issued2014-
dc.identifier.citationShakshuki, Elhadi; Yasar, Ansar (Ed.). The 5th International Conference on Ambient Systems, Networks and Technologies (ANT-2014), the 4th International Conference on Sustainable Energy Information Technology (SEIT-2014), Elsevier Science BV, p. 647-654-
dc.identifier.issn1877-0509-
dc.identifier.urihttp://hdl.handle.net/1942/17216-
dc.description.abstractIn this paper the daily temporal and spatial behavior of electric vehicles (EVs) is modelled using an activity-based (ActBM) micro-simulation model for Flanders region (Belgium). Assuming that all EVs are completely charged at the beginning of the day, this mobility model is used to determine the percentage of Flemish vehicles that cannot cover their programmed daily trips and need to be recharged during the day. Assuming a variable electricity price, an optimization algorithm determines when and where EVs can be recharged at minimum cost for their owners. This optimization takes into account the individual mobility constraint for each vehicle, as they can only be charged when the car is stopped and the owner is performing an activity. From this information, the aggregated electric demand for Flanders is obtained, identifying the most overloaded areas at the critical hours. Finally it is also analyzed what activities EV owners are underway during their recharging period. From this analysis, different actions for public charging point deployment in different areas and for different activities are proposed.-
dc.description.sponsorshipThe research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n°270833.-
dc.language.isoen-
dc.publisherElsevier Science BV-
dc.relation.ispartofseriesProcedia Computer Science-
dc.rights2014 Published by Elsevier B.V. Open access under CC BY-NC-ND license.-
dc.subject.otherElectric vehicle-
dc.subject.othercharging infrastructure-
dc.subject.otheroptimization-
dc.subject.otheractivity-based mobility model-
dc.titleDetermining Electric Vehicle Charging Point Locations Considering Drivers’ Daily Activities-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsShakshuki, Elhadi-
local.bibliographicCitation.authorsYasar, Ansar-
local.bibliographicCitation.conferencedate2014, June 02-06-
local.bibliographicCitation.conferencenameThe 5th International Conference on Ambient Systems, Networks and Technologies (ANT-2014), the 4th International Conference on Sustainable Energy Information Technology (SEIT-2014)-
local.bibliographicCitation.conferenceplaceHasselt, Belgium-
dc.identifier.epage654-
dc.identifier.spage647-
dc.identifier.volume32-
local.format.pages8-
local.bibliographicCitation.jcatC1-
dc.description.notesFraile-Ardanuy, J (reprint author), ETSI Telecomunicac UPM, Madrid 28040, Spain. jesus.fraile.ardanuy@upm.es-
local.publisher.placeARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr32-
dc.identifier.doi10.1016/j.procs.2014.05.472-
dc.identifier.isi000361562600079-
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S1877050914006723-
local.bibliographicCitation.btitleThe 5th International Conference on Ambient Systems, Networks and Technologies (ANT-2014), the 4th International Conference on Sustainable Energy Information Technology (SEIT-2014)-
local.uhasselt.internationalyes-
item.validationecoom 2016-
item.contributorGonzález, J.-
item.contributorAlvaro, Roberto-
item.contributorGarnallo, C.-
item.contributorFuentes, M.-
item.contributorFraile-Ardanuy, J.-
item.contributorKNAPEN, Luk-
item.contributorJANSSENS, Davy-
item.fullcitationGonzález, J.; Alvaro, Roberto; Garnallo, C.; Fuentes, M.; Fraile-Ardanuy, J.; KNAPEN, Luk & JANSSENS, Davy (2014) Determining Electric Vehicle Charging Point Locations Considering Drivers’ Daily Activities. In: Shakshuki, Elhadi; Yasar, Ansar (Ed.). The 5th International Conference on Ambient Systems, Networks and Technologies (ANT-2014), the 4th International Conference on Sustainable Energy Information Technology (SEIT-2014), Elsevier Science BV, p. 647-654.-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
crisitem.journal.issn1877-0509-
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