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935. E-Truck Fleet and Infrastructure Co-design via Joint Optimization and Agent-based Simulation
Invited abstract in session TA-56: Methods and models for sustainable transport solutions, stream Transportation.
Tuesday, 8:30-10:00Room: S04 (building: 101)
Authors (first author is the speaker)
| 1. | Juan Pablo Bertucci
|
| Mechanical Engineering, Eindhoven University of Technology |
Abstract
In the immediate advent of zero-emission zones fleet operators are transitioning to electric fleets. To maintain their current operations, a clear understanding of the charging infrastructure needed and its relationship to existing power grid limitations and fleet schedules is needed.
In this context, we optimize the charging infrastructure and the routing and charging schedules for a logistic distribution network in a joint fashion, and validate our results via agent-based simulations.
Specifically, we first cast the joint infrastructure design and operational scheduling problem as a mixed-integer linear program. Second, we devise an agent-based model that serves as a virtual experimental replica to test different design and operation solutions.
Finally, we run experiments where we compare rule-based with optimized design and operation strategies in key operational metrics and power requirements in a case-study of The Netherlands.
The results indicate that having local vehicle charging rules helps decrease the impact of uncertainties in consumption, thus enhancing logistics reliability. However, central coordination leads to more cost-efficient solutions and less stringent power requirements.
Keywords
- Transportation
- Network Design
- OR in Energy
Status: accepted
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