elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Behaviour-driven electric vehicle charging decisions and its implications on demand response flexibility for the integration of renewable energies in Germany

Wulff, Niklas (2019) Behaviour-driven electric vehicle charging decisions and its implications on demand response flexibility for the integration of renewable energies in Germany. 4NEMO summerschool, 29.07.-02.08.2019, Munich, Germany.

[img] PDF - Registered users only
4MB

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 peak load demand. Electric mobility in national and continental scale energy system optimization is often treated in an aggregated fleet, however user behaviour and charging decisions play a crucial role in the availability of vehicles' batteries for balancing electric load and renewable energy (RE) feed-in. Michaelis, Gnann & Klingler (2018) find that reduction of peak load and RE surplus electricity stemming from battery electric vehicles (BEVs) 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. Thereby, we determine the reduction potential of peak load, 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/129228/
Document Type:Conference or Workshop Item (Speech)
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
Date:31 July 2019
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:model coupling, behaviour, charging decisions, electric vehicles, battery electric vehicles, energy consumption, load shifting, flexibility, power system modelling, user behaviour
Event Title:4NEMO summerschool
Event Location:Munich, Germany
Event Type:Other
Event Dates:29.07.-02.08.2019
Organizer:ifo institute Munich
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Energie und Verkehr
Location: Stuttgart
Institutes and Institutions:Institute of Engineering Thermodynamics > Energy Systems Analysis
Deposited By: Wulff, Niklas
Deposited On:27 Sep 2019 13:40
Last Modified:27 Sep 2019 13:40

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.