Electric bus fleet size and mix problem with optimization of charging infrastructure

Electric bus fleet size and mix problem with optimization of charging infrastructure Applied Energy 211 (2018) 282–295 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy Electric bus fleet size and mix problem with optimization of charging infrastructure a,b, c c a,b,d Matthias Rogge , Evelien van der Hurk , Allan Larsen , Dirk Uwe Sauer Chair for Electrochemical Energy Conversion and Storage Systems, Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, Jaegerstrasse 17-19, 52066 Aachen, Germany Juelich Aachen Research Alliance, JARA-Energy, Germany DTU Management Engineering, Technical University of Denmark, Denmark Institute for Power Generation and Storage Systems (PGS), E.ON Energy Research Center, RWTH Aachen University, Germany HIGHLIGHTS GR APHICAL A BSTRACT A framework for the cost-efficient planning of battery bus fleets is pro- posed. The approach combines a genetic al- gorithm and mixed-integer-linear- programming. Two electrification scenarios of European cities are analyzed in a case study. Energy efficiency is discussed for two competing battery bus concepts. Operation of lightweight buses en- ables energy savings of about 30%. ARTICLE I NFO ABSTRACT Keywords: Battery electric buses are seen as a well-suited technology for the electrification of road-based public transport. Electric bus scheduling However, the transition process from conventional diesel to electric buses faces major hurdles caused by http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Energy Elsevier

Electric bus fleet size and mix problem with optimization of charging infrastructure

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0306-2619
D.O.I.
10.1016/j.apenergy.2017.11.051
Publisher site
See Article on Publisher Site

Abstract

Applied Energy 211 (2018) 282–295 Contents lists available at ScienceDirect Applied Energy journal homepage: www.elsevier.com/locate/apenergy Electric bus fleet size and mix problem with optimization of charging infrastructure a,b, c c a,b,d Matthias Rogge , Evelien van der Hurk , Allan Larsen , Dirk Uwe Sauer Chair for Electrochemical Energy Conversion and Storage Systems, Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, Jaegerstrasse 17-19, 52066 Aachen, Germany Juelich Aachen Research Alliance, JARA-Energy, Germany DTU Management Engineering, Technical University of Denmark, Denmark Institute for Power Generation and Storage Systems (PGS), E.ON Energy Research Center, RWTH Aachen University, Germany HIGHLIGHTS GR APHICAL A BSTRACT A framework for the cost-efficient planning of battery bus fleets is pro- posed. The approach combines a genetic al- gorithm and mixed-integer-linear- programming. Two electrification scenarios of European cities are analyzed in a case study. Energy efficiency is discussed for two competing battery bus concepts. Operation of lightweight buses en- ables energy savings of about 30%. ARTICLE I NFO ABSTRACT Keywords: Battery electric buses are seen as a well-suited technology for the electrification of road-based public transport. Electric bus scheduling However, the transition process from conventional diesel to electric buses faces major hurdles caused by

Journal

Applied EnergyElsevier

Published: Feb 1, 2018

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