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.
In: Energies, 14 (23)
doi: 10.3390/en14237992
Article, Bibliographie
This is the latest version of this item.
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.
| Item Type: | Article |
|---|---|
| Erschienen: | 2022 |
| Creators: | Husarek, Dominik ; Salapic, Vjekoslav ; Paulus, Simon ; Metzger, Michael ; Niessen, Stefan |
| Type of entry: | Bibliographie |
| Title: | Modeling the Impact of Electric Vehicle Charging Infrastructure on Regional Energy Systems: Fields of Action for an Improved e-Mobility Integration |
| Language: | English |
| Date: | 2022 |
| Publisher: | MDPI |
| Journal or Publication Title: | Energies |
| Volume of the journal: | 14 |
| Issue Number: | 23 |
| Collation: | 27 Seiten |
| DOI: | 10.3390/en14237992 |
| Corresponding Links: | |
| 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. |
| Uncontrolled Keywords: | charging infrastructure assessment, e-Mobility integration, Agent-based modeling, levers, global sensitivity analysis, service quality |
| Classification DDC: | 600 Technology, medicine, applied sciences > 600 Technology 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
| Divisions: | 18 Department of Electrical Engineering and Information Technology 18 Department of Electrical Engineering and Information Technology > Technology and Economics of Multimodal Energy Systems (MMES) |
| Date Deposited: | 02 Aug 2024 12:40 |
| Last Modified: | 02 Aug 2024 12:40 |
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| Suche nach Titel in: | TUfind oder in Google |
Available Versions of this Item
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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. (deposited 29 Apr 2022 08:49)
- Modeling the Impact of Electric Vehicle Charging Infrastructure on Regional Energy Systems: Fields of Action for an Improved e-Mobility Integration. (deposited 02 Aug 2024 12:40) [Currently Displayed]
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