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/ | ||||||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||||||
Titel: | Comparing Power-System and User-Oriented Battery Electric Vehicle Charging Representation and its Impact on Energy System Modeling | ||||||||||||||||||||||||||||
Autoren: |
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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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