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Effects of Integrating Electric Vehicles and Stationary Batteries in a Smart Urban Electricity Network

Kaschub, Thomas; Jochem, Patrick; Fichtner, Wolf ORCID iD icon


The aim of the European Union to drastically reduce greenhouse gas emissions in the following decades has a great influence on the transport and the energy sector. Electric vehicles and renewable energy sources are seen as outstanding possibilities on this way. An interrelation of these technologies seems to be a promising option. In our contribution we address some challenges, which come along with this interrelation. From a system perspective, more flexibility is needed. One option is to extend flexible demand through dynamic pricing, which timulates a demand response. Electric vehicles can contribute to this objective when the comprehensive load shifting potentials are activated. In addition, the application of local storage devices is discussed to relieve local grids and support the integration of decentralized electricity generation by renewable energy sources.
In this contribution we analyze the effects of dynamic pricing for controlled and bi-directional charging of electric vehicles and the use of stationary battery systems in an urban electricity system. Therefore, we developed an optimization model for the application planning of the charging processes of electric vehicles and stationary storage systems. ... mehr

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DOI: 10.5445/IR/1000050110
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion – Deutsch-Französisches Institut für Umweltforschung (DFIU)
Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Universität Karlsruhe (TH) – Interfakultative Einrichtungen (Interfakultative Einrichtungen)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2014
Sprache Englisch
Identifikator ISSN: 0774-5036
KITopen-ID: 1000050110
Erschienen in European Battery, Hybrid and Fuel Cell Electric Vehicle Congress (EEVC 2014), Brussels, 2st to 5th December 2014
Seiten 12 S.
Schlagwörter smart grid, battery charge, emissions, optimization, modeling
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