STELLA - Site Selection Model for electric Charging Infrastructure
Taking a close look at the user level is the core element of site modelling with STELLA. The user characteristics, such as belonging to a specific age or income group, are connected with the mobility behaviour recorded in surveys to form a basic potential. By combining the basic potential with the potentials of the long-distance road network resulting from the extensive transport connectivity and with the spread of electric vehicles and their charging infrastructure (CI), the total potential is calculated.
Going into detail, a type of urban space is allocated to each of the roughly 82,000 traffic zones (ca. 500 households per zone) that Germany is structured into. The origin-and-destination traffic generation is calculated using population data, building typology, spatial structures and local businesses. The resulting traffic is allocated to the transport modes for each zone specifically. While the goal of the modelling is to give all mobile people access to electric mobility and charging infrastructure, the focus here is on motorized private transport. The calculated traffic volume constitutes the basic potential for the further analysis.
In the following step, supraregional traffic observation is added to the basic potential. For this purpose, the accessibility of the intermodal transport hubs and the connection to the long-distance network are analysed. In combination with the traffic loads and the supraregional European transport interconnections, an additional potential of electric-mobility users is assessed. This also includes a differentiation of seasonal load fluctuations. In the third step, the different user groups and their trip behaviour are added to the potential that exists at the level of the urban quarter or the street, also taking into consideration the zone-specific Points of Interest and the information regarding the necessary range and duration of stay.
By supplementing the data on the availability of electric vehicles, through a vehicle ownership model and projection, and by including the existing charging infrastructure, the potential of possible charging cycles is determined. The result constitutes the basis for the allocation of the zone-specific demand of charging stations depending on the necessary charging capacity. Based on the experiences with the power grid of the cities of Stuttgart and Düsseldorf, the maximum number of charging points per site that can be implemented without requiring significant financial investments into the grids is assessed. If the existing electric capacity does not suffice, the site is stretched to several smaller, less clustered charging points in order to cover the projected demand.
In the final step, the potential calculated at the level of urban quarters or streets is transferred to a nationwide grid with an edge length of 250 meters. The result allows local planners to make detailed micro-location plans.
An installation sequence can be provided for all locations for ideal area coverage and demand orientation in order to provide potential users of electric mobility with a well-coordinated charging infrastructure service.
In the third step, the different user groups and their trip behaviour are added to the potential that exists at the level of the urban quarter or the street, also taking into consideration the zone-specific Points of Interest and the information regarding the necessary range and duration of stay.
By supplementing the data on the availability of electric vehicles, through a vehicle ownership model and projection, and by including the existing charging infrastructure, the potential of possible charging cycles is determined. The result constitutes the basis for the allocation of the zone-specific demand of charging stations depending on the necessary charging capacity. Based on the experiences with the power grid of the cities of Stuttgart and Düsseldorf, the maximum number of charging points per site that can be implemented without requiring significant financial investments into the grids is assessed. If the existing electric capacity does not suffice, the site is stretched to several smaller, less clustered charging points in order to cover the projected demand.
In the final step, the potential calculated at the level of urban quarters or streets is transferred to a nationwide grid with an edge length of 250 meters. The result allows local planners to make detailed micro-location plans.
An installation sequence can be provided for all locations for ideal area coverage and demand orientation in order to provide potential users of electric mobility with a well-coordinated charging infrastructure service.
Contact
Dipl.-Ing. Waldemar Brost (Project management)
Teresa Eickels, M.Sc.
Michael Schrömbges, M.Sc.
Publications
| Philipsen, R., T. Brell, W. Brost, T. Funke und M. Ziefle, 2018. With a Little Help from My Government – A User Perspective on State Support for Electric Vehicles. Paper at the 9th International Conference on Applied Human Factors and Ergonomics (AHFE 2018); Track: Human Factors in Transportation. Juli 2018, Orlando, Florida, USA. |
| Brost, W., T. Funke, R. Philipsen, T. Brell und M. Ziefle, 2018. Integrated Model Approach STELLA. Method of Site Identification for Charging Infrastructure. 15th IFAC Symposium on Control in Transportation Systems (CTS 2018). Juni 2018, Savona, Italien. |
| Brost, W., T. Funke und R. Philipsen, 2018. Calculation of potential for setting up charging infrastructure for battery-powered electric vehicles – Focusing the calculation of potential according to the urban quarter level. International scientific Conference on Mobility and Transport Urban Mobility – Shaping the Future Together (mobil.TUM 2018). Juni 2018, München. |
| Brost, W., T. Funke und M. Lembach, 2018. Räumliche Differenzierung des ÖPNV-Modalsplits zur Integration in die Standortbetrachtung für Ladeinfrastrukturen. REALCORP 2018 – Expanding Cities & Diminishing Space. April 2018, Wien. |
| Brost, W., T. Funke und D. Vallée, 2016.
SLAM - Schnellladenetz für Achsen und Metropolen. In:
DVWG Jahresverkehrskongress 2016: "Elektromobilität - aktuelle Chancen und Risiken der Umsetzung".
B 367. ISBN 978-3-942488-32-7. Berlin. Link: SLAM - Schnellladenetz für Achsen und Metropolen (Paper und Poster) |
Presentations
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SLAM - Project description and modelling method
14th International Conference on Renewable Mobility “Fuels of the Future 2017“, Berlin, 23.-24. Januar 2017
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Standortfindungsmodell für elektrische Ladeinfrastruktur
– Modellvorstellung
7. Pegasus Jahrestagung
, Stuttgart, 30. September 2016
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Standortfindungsmodell für elektrische Ladeinfrastruktur
Vortrag bei der Universitätstagung 2016,
Graz, 20. September 2016
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Schnellladenetz für Achsen und Metropolen – Projektbeschreibung und Modellierungsmethodik
1. Netzwerktreffen - Elektromobilität Rheinland-Pfalz
, Kaisersesch, 19. Mai 2016
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Poster and Flyer
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Standortfindungstool für elektrische Ladeinfrastruktur
Link: STELLA-Flyer |
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Brost, W.; Funke, T.; Theißen, A; Vallée, D.: SLAM - STELLA
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