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Vehicle energy consumption in python (Vencopy): Presenting and demonstrating an open-source tool to calculate electric vehicle charging flexibility

Wulff, Niklas; Miorelli, Fabia; Gils, Hans Christian; Jochem, Patrick 1
1 Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)

Abstract:

As electric vehicle fleets grow, rising electric loads necessitate energy systems models to incorporate their respective demand and potential flexibility. Recently, a small number of tools for electric vehicle demand and flexibility modeling have been released under open source licenses. These usually sample discrete trips based on aggregate mobility statistics. However, the full range of variables of travel surveys cannot be accessed in this way and sub-national mobility patterns cannot be modeled. Therefore, a tool is proposed to estimate future electric vehicle fleet charging flexibility while being able to directly access detailed survey results. The framework is applied in a case study involving two recent German national travel surveys (from the years 2008 and 2017) to exemplify the implications of different mobility patterns of motorized individual vehicles on load shifting potential of electric vehicle fleets. The results show that different mobility patterns, have a significant impact on the resulting load flexibilites. Most obviously, an increased daily mileage results in higher electricty demand. A reduced number of trips per day, on the other hand, leads to correspondingly higher grid connectivity of the vehicle fleet. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000136943
Veröffentlicht am 06.09.2021
Originalveröffentlichung
DOI: 10.3390/en14144349
Scopus
Zitationen: 2
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1996-1073
KITopen-ID: 1000136943
Erschienen in Energies
Verlag MDPI
Band 14
Heft 14
Seiten Art. Nr.: 4349
Vorab online veröffentlicht am 19.07.2021
Schlagwörter electric vehicles; load shifting potential; demand side management; load flexibility; open source; sector coupling
Nachgewiesen in Dimensions
Scopus
Web of Science
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