Wulff, Niklas und Steck, Felix und van den Adel, Bent und Hoyer-Klick, Carsten und Gils, Hans Christian und 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, 2019-08-28, Ljubljana, Slovenia.
![]() |
PDF
285kB |
Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/129229/ | ||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dokumentart: | Konferenzbeitrag (Poster) | ||||||||||||||||||||||||||||
Titel: | BEHAVIOUR-DRIVEN ELECTRIC VEHICLE CHARGING DECISIONS AND ITS IMPLICATIONS ON DEMAND RESPONSE FLEXIBILITY FOR THE INTEGRATION OF RENEWABLE ENERGIES IN GERMANY | ||||||||||||||||||||||||||||
Autoren: |
| ||||||||||||||||||||||||||||
Datum: | 27 August 2019 | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | energy systems, energy system modelling, energy system analysis, behaviour, electric vehicles, charging behaviour, battery electric vehicles, charging, optimization, flexibility | ||||||||||||||||||||||||||||
Veranstaltungstitel: | 16th IAEE European Energy Conference | ||||||||||||||||||||||||||||
Veranstaltungsort: | Ljubljana, Slovenia | ||||||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||
Veranstaltungsdatum: | 28 August 2019 | ||||||||||||||||||||||||||||
Veranstalter : | Faculty of Economics, University of Ljubljana, Slovenia | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Energie | ||||||||||||||||||||||||||||
HGF - Programm: | TIG Technologie, Innovation und Gesellschaft | ||||||||||||||||||||||||||||
HGF - Programmthema: | Erneuerbare Energie- und Materialressourcen für eine nachhaltige Zukunft | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Energie | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | E SY - Energiesystemanalyse | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | E - Systemanalyse und Technikbewertung (alt) | ||||||||||||||||||||||||||||
Standort: | Stuttgart | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Technische Thermodynamik > Energiesystemanalyse | ||||||||||||||||||||||||||||
Hinterlegt von: | Wulff, Niklas | ||||||||||||||||||||||||||||
Hinterlegt am: | 27 Sep 2019 13:41 | ||||||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:32 |
Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags