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BEHAVIOUR-DRIVEN ELECTRIC VEHICLE CHARGING DECISIONS AND ITS IMPLICATIONS ON DEMAND RESPONSE FLEXIBILITY FOR THE INTEGRATION OF RENEWABLE ENERGIES IN GERMANY

Wulff, Niklas and Steck, Felix and van den Adel, Bent and Hoyer-Klick, Carsten and Gils, Hans Christian and Anderson, John Erik (2019) BEHAVIOUR-DRIVEN ELECTRIC VEHICLE CHARGING DECISIONS AND ITS IMPLICATIONS ON DEMAND RESPONSE FLEXIBILITY FOR THE INTEGRATION OF RENEWABLE ENERGIES IN GERMANY. 16th IAEE European Energy Conference, 28.-28. Aug. 2019, Ljubljana, Slovenia.

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Abstract

The expected increase in battery electric vehicles poses both, opportunities and risks for the decarbonisation of future power systems. While electric mobility may technically serve as a source of flexibility, it increases the overall power demand and may as well increase the demand for power in peak load hours. While electric mobility in national and continental scale energy system optimization is often treated in an aggregated fleet, user behaviour and charging decisions play a crucial role in the availability of vehicles' batteries for balancing electric load and renewable energy feed-in. Michaelis, Gnann & Klingler (2018) find that reduction of peak load and RE surplus electricity stemming from plug-in vehicles in Germany may be as high as 2.2 GW and 1.8 TWh respectively for 2030. However, they assume constant charging stations' power of 3.7 kW that seem conservative. Also, the authors don't explicitly describe to what effect user behaviour limits vehicle charging. By linking the modular energy system optimization model REMix with the vehicle stock model VECTOR21 and the charging decision simulation tool CURRENT, we aim to determine a more realistic demand response potential for future electric vehicles compared to previous studies. All three models are developed at the German Aerospace Center (DLR) and have been applied and validated in different project contexts. We for the first time integrate hourly profiles determined by individual charging decisions as input for an energy system optimization model. We determine the reduction potential of peak load, renewable energy (RE) curtailment as well as RE capacity expansion for the different cases of controlled charging versus uncontrolled charging for Germany for 2030. Thus, we provide both methodological and quantitative insights into the effects of coupling power and transport sector that are of value to the scientific discussion.

Item URL in elib:https://elib.dlr.de/129229/
Document Type:Conference or Workshop Item (Poster)
Title:BEHAVIOUR-DRIVEN ELECTRIC VEHICLE CHARGING DECISIONS AND ITS IMPLICATIONS ON DEMAND RESPONSE FLEXIBILITY FOR THE INTEGRATION OF RENEWABLE ENERGIES IN GERMANY
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wulff, NiklasNiklas.Wulff (at) dlr.dehttps://orcid.org/0000-0002-4659-6984
Steck, FelixFelix.Steck (at) dlr.deUNSPECIFIED
van den Adel, BentBent.vandenadel (at) dlr.deUNSPECIFIED
Hoyer-Klick, CarstenCarsten.Hoyer-Klick (at) dlr.dehttps://orcid.org/0000-0002-7273-9176
Gils, Hans ChristianHans.Gils (at) dlr.dehttps://orcid.org/0000-0001-6745-6609
Anderson, John ErikJohn.Anderson (at) dlr.deUNSPECIFIED
Date:27 August 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:energy systems, energy system modelling, energy system analysis, behaviour, electric vehicles, charging behaviour, battery electric vehicles, charging, optimization, flexibility
Event Title:16th IAEE European Energy Conference
Event Location:Ljubljana, Slovenia
Event Type:international Conference
Event Dates:28.-28. Aug. 2019
Organizer:Faculty of Economics, University of Ljubljana, Slovenia
HGF - Research field:Energy
HGF - Program:Technology, Innovation and Society
HGF - Program Themes:Renewable Energy and Material Resources for Sustainable Futures - Integrating at Different Scales
DLR - Research area:Energy
DLR - Program:E SY - Energy Systems Analysis
DLR - Research theme (Project):E - Systems Analysis and Technology Assessment
Location: Stuttgart
Institutes and Institutions:Institute of Engineering Thermodynamics > Energy Systems Analysis
Deposited By: Wulff, Niklas
Deposited On:27 Sep 2019 13:41
Last Modified:27 Sep 2019 13:41

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