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Modeling the Impact of Electric Vehicle Charging Infrastructure on Regional Energy Systems: Fields of Action for an Improved e-Mobility Integration

Husarek, Dominik ; Salapic, Vjekoslav ; Paulus, Simon ; Metzger, Michael ; Niessen, Stefan (2022):
Modeling the Impact of Electric Vehicle Charging Infrastructure on Regional Energy Systems: Fields of Action for an Improved e-Mobility Integration. (Publisher's Version)
In: Energies, 14 (23), MDPI, e-ISSN 1996-1073,
DOI: 10.26083/tuprints-00020069,
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Item Type: Article
Origin: Secondary publication DeepGreen
Status: Publisher's Version
Title: Modeling the Impact of Electric Vehicle Charging Infrastructure on Regional Energy Systems: Fields of Action for an Improved e-Mobility Integration
Language: English
Abstract:

Since e-Mobility is on the rise worldwide, large charging infrastructure networks are required to satisfy the upcoming charging demand. Planning these networks not only involves different objectives from grid operators, drivers and Charging Station (CS) operators alike but it also underlies spatial and temporal uncertainties of the upcoming charging demand. Here, we aim at showing these uncertainties and assess different levers to enable the integration of e-Mobility. Therefore, we introduce an Agent-based model assessing regional charging demand and infrastructure networks with the interactions between charging infrastructure and electric vehicles. A global sensitivity analysis is applied to derive general guidelines for integrating e-Mobility effectively within a region by considering the grid impact, the economic viability and the Service Quality of the deployed Charging Infrastructure (SQCI). We show that an improved macro-economic framework should enable infrastructure investments across different types of locations such as public, highway and work to utilize cross-locational charging peak reduction effects. Since the height of the residential charging peak depends up to 18% on public charger availability, supporting public charging infrastructure investments especially in highly utilized power grid regions is recommended.

Journal or Publication Title: Energies
Volume of the journal: 14
Issue Number: 23
Place of Publication: Darmstadt
Publisher: MDPI
Collation: 27 Seiten
Uncontrolled Keywords: charging infrastructure assessment, e-Mobility integration, Agent-based modeling, levers, global sensitivity analysis, service quality
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Divisions: 18 Department of Electrical Engineering and Information Technology > Technology and Economics of Multimodal Energy Systems (MMES)
Date Deposited: 29 Apr 2022 08:49
Last Modified: 11 Oct 2022 09:42
DOI: 10.26083/tuprints-00020069
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-200691
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/20069
PPN: 500228191
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