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3224. Optimized demand-based charging networks for long-haul trucking in Europe
Invited abstract in session WB-57: Scheduling and sustainability, stream Optimization at Amazon.
Wednesday, 10:30-12:00Room: S06 (building: 101)
Authors (first author is the speaker)
1. | Jan-Hendrik Lange
|
Amazon | |
2. | Daniel Speth
|
Institute for Systems and Innovation Research ISI | |
3. | Patrick Plotz
|
Fraunhofer Institute for Systems and Innovation Research ISI |
Abstract
The transition from diesel vehicles to tailpipe emission free technology such as battery electric trucks (BETs) in surface transportation is crucial to meet the ambitious decarbonization goal set by the European Union. While the first models of electric heavy goods vehicles have become available, the charging infrastructure necessary to operate these vehicles is still largely absent. At the same time, current BET models exhibit limited range and increased refueling times, which creates a number of challenges in both the operational and strategic planning domain. We present work on mathematical models and algorithms to support decision making for the placement of BETs and corresponding charging infrastructure. Our efforts are directed towards internal strategic planning as well as collaborations with industry, academic partners and public policy. The goal of our external collaborations is to foster the coordination of charging infrastructure investments across multiple parties, which will help to accelerate the transition to carbon free transportation.
Keywords
- OR in Sustainability
- Transportation
- Logistics
Status: accepted
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