Wireless charger deployment for an electric bus network: A multi-objective life cycle optimization

Wireless charger deployment for an electric bus network: A multi-objective life cycle optimization Applied Energy 225 (2018) 1090–1101 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy Wireless charger deployment for an electric bus network: A multi-objective life cycle optimization a a, b Zicheng Bi , Gregory A. Keoleian , Tulga Ersal Center for Sustainable Systems, School for Environment and Sustainability, University of Michigan, 440 Church St., Ann Arbor, MI 48109, United States Department of Mechanical Engineering, University of Michigan, 1231 Beal Ave., Lay Auto Lab, Ann Arbor, MI 48109, United States HIG HLI GHTS GRAPHICAL ABSTRACT Life cycle optimization of wireless charging infrastructure for electric buses. Multi-objective optimization of life cycle costs, GHG emissions, and en- ergy. Application of optimization to a case study of the University of Michigan buses. Characterization of trade-off of infra- structure burden vs. battery-sizing benefits. Sensitivity analysis of battery price, charge rate, and infrastructure costs. ARTIC L E I NF O ABSTRAC T Keywords: Deploying large-scale wireless charging infrastructure at bus stops to charge electric transit buses when loading Wireless charging and unloading passengers requires significant capital investment and brings environmental and energy burdens Life cycle optimization due to charger production and deployment. Optimal siting of wireless charging bus stops is key to reducing these http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Energy Elsevier

Wireless charger deployment for an electric bus network: A multi-objective life cycle optimization

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0306-2619
D.O.I.
10.1016/j.apenergy.2018.05.070
Publisher site
See Article on Publisher Site

Abstract

Applied Energy 225 (2018) 1090–1101 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy Wireless charger deployment for an electric bus network: A multi-objective life cycle optimization a a, b Zicheng Bi , Gregory A. Keoleian , Tulga Ersal Center for Sustainable Systems, School for Environment and Sustainability, University of Michigan, 440 Church St., Ann Arbor, MI 48109, United States Department of Mechanical Engineering, University of Michigan, 1231 Beal Ave., Lay Auto Lab, Ann Arbor, MI 48109, United States HIG HLI GHTS GRAPHICAL ABSTRACT Life cycle optimization of wireless charging infrastructure for electric buses. Multi-objective optimization of life cycle costs, GHG emissions, and en- ergy. Application of optimization to a case study of the University of Michigan buses. Characterization of trade-off of infra- structure burden vs. battery-sizing benefits. Sensitivity analysis of battery price, charge rate, and infrastructure costs. ARTIC L E I NF O ABSTRAC T Keywords: Deploying large-scale wireless charging infrastructure at bus stops to charge electric transit buses when loading Wireless charging and unloading passengers requires significant capital investment and brings environmental and energy burdens Life cycle optimization due to charger production and deployment. Optimal siting of wireless charging bus stops is key to reducing these

Journal

Applied EnergyElsevier

Published: Sep 1, 2018

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