Cost optimized electrification of Lund city bus traffic using Elonroad electric road system
(2018) In CODEN:LUTEDX/TEIE EIEM01 20181Industrial 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.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8953325
- author
- Alfredsson, Hampus LU and von Essen, Erik LU
- supervisor
-
- Lars Lindgren LU
- Mats Alaküla LU
- organization
- course
- EIEM01 20181
- year
- 2018
- 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}}, }