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Comparing Power-System and User-Oriented Battery Electric Vehicle Charging Representation and its Impact on Energy System Modeling

Wulff, Niklas und Steck, Felix und Gils, Hans Christian und Hoyer-Klick, Carsten und Van den Adel, Bent und Anderson, John (2020) Comparing Power-System and User-Oriented Battery Electric Vehicle Charging Representation and its Impact on Energy System Modeling. Energies, 13 (5), Seite 1093. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/en13051093. ISSN 1996-1073.

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Offizielle URL: https://www.mdpi.com/1996-1073/13/5/1093

Kurzfassung

Battery electric vehicles (BEV) provide an opportunity to balance supply and demand in future power systems with high shares of fluctuating renewable energy. Compared to other storage systems such as pumped-storage hydroelectricity, electric vehicle energy demand is highly dependent on charging and connection choices of vehicle users. We present a model framework of a utility-based stock and flow model, a utility-based microsimulation of charging decisions, and an energy system model including respective interfaces to assess how the representation of battery electric vehicle charging affects energy system optimization results. We then apply the framework to a scenario study for controlled charging of nine million electric vehicles in Germany in 2030. Assuming a respective fleet power demand of 27 TWh, we analyze the difference between power-system-based and vehicle user-based charging decisions in two respective scenarios. Our results show that taking into account vehicle users’ charging and connection decisions significantly decreases the load shifting potential of controlled charging. The analysis of marginal values of equations and variables of the optimization problem yields valuable insights on the importance of specific constraints and optimization variables. Assumptions on fleet battery availability and a detailed representation of fast charging are found to have a strong impact on wind curtailment, renewable energy feed-in, and required gas power plant flexibility. A representation of fleet connection to the grid in high temporal detail is less important. Peak load can be reduced by 5% and 3% in both scenarios, respectively. Shifted load is robust across sensitivity analyses while other model results such as curtailment are more sensitive to factors such as underlying data years. Analyzing the importance of increased BEV fleet battery availability for power systems with different weather and electricity demand characteristics should be further scrutinized.

elib-URL des Eintrags:https://elib.dlr.de/134334/
Dokumentart:Zeitschriftenbeitrag
Titel:Comparing Power-System and User-Oriented Battery Electric Vehicle Charging Representation and its Impact on Energy System Modeling
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Wulff, NiklasDLR - Institute for Engineering Thermodynamicshttps://orcid.org/0000-0002-4659-6984NICHT SPEZIFIZIERT
Steck, FelixDLR - Institute for Transport ResearchNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Gils, Hans ChristianDLR - Institute for Engineering Thermodynamicshttps://orcid.org/0000-0001-6745-6609NICHT SPEZIFIZIERT
Hoyer-Klick, CarstenDLR - Institute for Engineering Thermodynamicshttps://orcid.org/0000-0002-7273-9176NICHT SPEZIFIZIERT
Van den Adel, BentDLR - Institute for Vehicle ConceptsNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Anderson, JohnDLR - Institute for Transport Researchhttps://orcid.org/0000-0001-7615-7926NICHT SPEZIFIZIERT
Datum:2 März 2020
Erschienen in:Energies
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:13
DOI:10.3390/en13051093
Seitenbereich:Seite 1093
Verlag:Multidisciplinary Digital Publishing Institute (MDPI)
Name der Reihe:Special Issue "Model Coupling and Energy Systems"
ISSN:1996-1073
Status:veröffentlicht
Stichwörter:electric vehicles; sector coupling; energy system optimization; renewable energy integration; REMix; charging behavior; marginal values
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Verkehrssystem
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V VS - Verkehrssystem
DLR - Teilgebiet (Projekt, Vorhaben):V - Energie und Verkehr (alt)
Standort: Berlin-Adlershof , Stuttgart
Institute & Einrichtungen:Institut für Verkehrsforschung
Institut für Fahrzeugkonzepte
Institut für Technische Thermodynamik > Energiesystemanalyse
Hinterlegt von: Wulff, Niklas
Hinterlegt am:09 Jun 2020 12:26
Letzte Änderung:25 Okt 2023 08:17

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