Authors:
Simon Leu
1
;
Gonçalo Homem de Almeida Correia
2
;
Hans van Lint
2
and
Axel Leonhardt
1
Affiliations:
1
Institute of Transport and Spatial Planning, University of the Bundeswehr Munich, Werner-Heisenberg-Weg 39, 85577 Neubiberg, Germany
;
2
Department of Transport and Planning, TU Delft, Stevinweg 1, 2628 CN Delft, The Netherlands
Keyword(s):
Vehicle-to-Grid (V2G), Mobility Data Analysis, Car Usage Behavior, Clustering Analysis.
Abstract:
Integrating renewable energy sources, such as solar and wind, challenges grid stability due to their intermittent nature. Vehicle-to-grid (V2G) technology provides a promising solution by utilizing electric vehicles (EVs) as decentralized energy storage systems, enabling the storage of surplus energy during low demand and its release during peak demand. The effectiveness of V2G depends critically on car usage patterns. Data from the Netherlands Mobility Panel (MPN) of 2022, comprising travel diaries from 2,505 households, was analyzed to explore this. A methodology was developed to create car usage profiles based on parking durations and locations, distinguishing weekday and weekend patterns. The analysis shows that vehicles are predominantly parked at home, with weekday profiles reflecting work-related parking and weekend profiles highlighting increased leisure activity. Households with shared cars showed higher driving activity and shorter parking durations than households with a 1
:1 car-to-license ratio or surplus vehicles. Six distinct car usage clusters were identified for weekdays and four for weekends.
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