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2189. Aligning the Public Charging Infrastructure to the EV Driver: Lessons from Brussels and San Francisco
Invited abstract in session TD-56: Advancing mobility towards sustainable solutions II, stream Transportation.
Tuesday, 14:30-16:00Room: S04 (building: 101)
Authors (first author is the speaker)
1. | Simon Weekx
|
Business Technology and Operations, Vrije Universiteit Brussel | |
2. | Ona Van den bergh
|
Business Technology and Operations, Vrije Universiteit Brussel | |
3. | Lieselot Vanhaverbeke
|
MOSI, Vrije Universiteit Brussel | |
4. | Gil Tal
|
Institute of Transportation Studies, University of California, Davis |
Abstract
The transition towards Electric Vehicles (EVs) is an important step to reduce greenhouse gas emissions and local air pollution. An important obstacle for the large-scale adoption of EVs is the availability of sufficient public charging infrastructure. To determine how much infrastructure is needed, scholars often rely on EV adoption data or transactional charging data at existing stations. However, a major drawback of these studies is that they extrapolate the charging behavior of the early EV adopters, which may not be representative for the entire population.
In this study, we present a two-step approach to analyze the impact of different behavioral charging scenarios on the required number of chargers. Based on two large-scale datasets of charging transactions in Brussels and San Francisco, we first employ K-means clustering to find segments of EV drivers that exhibit similar charging behavior in terms of where, when, and how much energy they charge. Second, we develop a Discrete Event Simulation model to determine how much additional charging infrastructure is needed to accommodate an increase in charging activity in each of the behavioral segments. Our results indicate that, depending on the behavioral type, up to 8 times more infrastructure is needed to accommodate the same increase in demand. This highlights the potential for behavior-steering policies such as dynamic- and penalty pricing to make more efficient use of the available charging infrastructure.
Keywords
- Transportation
- Sustainable Development
- Simulation
Status: accepted
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