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Cost optimized electrification of Lund city bus traffic using Elonroad electric road system

Alfredsson, Hampus LU and von Essen, Erik LU (2018) In CODEN:LUTEDX/TEIE EIEM01 20181
Industrial Electrical Engineering and Automation
Abstract
This thesis aims to answer how a new specific electric road technique called Elonroad should be installed to operate an electric bus fleet in the city of Lund at lowest possible cost.
An algorithm has been written in MATLAB to obtain the optimal locations for installing electric road sections.
Real time measurements of bus movements, dwelling times, velocities and more were obtained from Skånetrafiken and used as inputs to the optimization algorithm.
Popular Abstract
An algorithm has been written to evaluate the possibilities of introducing an electric road system (ERS) in Lund city. With a desired end station dwelling time of 300 seconds (5 minutes) and a charging power of 180 kW, an ERS could become reality for the whole bus system using only 2-3 kilometres electric road and some additional stationary charging locations. Parts of the city around Lund central station should preferably see electric road installation in an optimized scenario. It is interesting to examine whether the ERS technique can become economically competitive in the future compared to conventional techniques. According to this thesis, it might actually do, at least for the bus system in Lund city.
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author
Alfredsson, Hampus LU and von Essen, Erik LU
supervisor
organization
course
EIEM01 20181
year
type
H3 - Professional qualifications (4 Years - )
subject
publication/series
CODEN:LUTEDX/TEIE
report number
5405
language
English
id
8953325
date added to LUP
2019-03-29 14:03:30
date last changed
2019-03-29 14:03:30
@misc{8953325,
  abstract     = {This thesis aims to answer how a new specific electric road technique called Elonroad should be installed to operate an electric bus fleet in the city of Lund at lowest possible cost. 
An algorithm has been written in MATLAB to obtain the optimal locations for installing electric road sections.
Real time measurements of bus movements, dwelling times, velocities and more were obtained from Skånetrafiken and used as inputs to the optimization algorithm.},
  author       = {Alfredsson, Hampus and von Essen, Erik},
  language     = {eng},
  note         = {Student Paper},
  series       = {CODEN:LUTEDX/TEIE},
  title        = {Cost optimized electrification of Lund city bus traffic using Elonroad electric road system},
  year         = {2018},
}