Total Cost of Ownership Model and Significant Cost Parameters for the Design of Electric Bus Systems
Without experiences of electric buses, public transport authorities and bus operators have faced questions about how to implement them in a cost-effective way. Simple cost modelling cannot show how costs for different types of electric buses differ between different routes and timetables. Tools (e.g...
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Online Access: | https://www.mdpi.com/1996-1073/13/12/3262 |
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doaj-55d10119cece4ac997c152c69ce1cab32020-11-25T01:20:26ZengMDPI AGEnergies1996-10732020-06-01133262326210.3390/en13123262Total Cost of Ownership Model and Significant Cost Parameters for the Design of Electric Bus SystemsAnders Grauers0Sven Borén1Oscar Enerbäck2Chalmers University of Technology, Electrical Engineering, SE-412 96 Gothenburg, SwedenBlekinge Institute of Technology, TISU, SE-37179 Karlskrona, SwedenRise Research Institutes of Sweden, Lindholmspiren 3A, SE-41756 Gothenburg, SwedenWithout experiences of electric buses, public transport authorities and bus operators have faced questions about how to implement them in a cost-effective way. Simple cost modelling cannot show how costs for different types of electric buses differ between different routes and timetables. Tools (e.g., HASTUS, PtMS, and optibus) which can analyse such details are complicated, time consuming to use, and provide insufficient insights into the mechanisms that influence the cost. This paper therefore proposes a method for how to calculate total cost of ownership, for different types of electric buses, in a way which can predict how the cost varies based on route and timetable. The method excludes factors which cause minor cost variations in an almost random manor, in order to better show the fundamental mechanisms influencing different costs. The method will help in finding ways to reduce the cost and help to define a few cases which deserve a deep analysis with more complete tools. Testing of the method in a Swedish context showed that the results are in line with other theoretical and practical studies, and how the total cost of ownership can vary depending on the variables.https://www.mdpi.com/1996-1073/13/12/3262electric buscost modeltotal cost of ownershipTCOcharging strategypublic transport |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Anders Grauers Sven Borén Oscar Enerbäck |
spellingShingle |
Anders Grauers Sven Borén Oscar Enerbäck Total Cost of Ownership Model and Significant Cost Parameters for the Design of Electric Bus Systems Energies electric bus cost model total cost of ownership TCO charging strategy public transport |
author_facet |
Anders Grauers Sven Borén Oscar Enerbäck |
author_sort |
Anders Grauers |
title |
Total Cost of Ownership Model and Significant Cost Parameters for the Design of Electric Bus Systems |
title_short |
Total Cost of Ownership Model and Significant Cost Parameters for the Design of Electric Bus Systems |
title_full |
Total Cost of Ownership Model and Significant Cost Parameters for the Design of Electric Bus Systems |
title_fullStr |
Total Cost of Ownership Model and Significant Cost Parameters for the Design of Electric Bus Systems |
title_full_unstemmed |
Total Cost of Ownership Model and Significant Cost Parameters for the Design of Electric Bus Systems |
title_sort |
total cost of ownership model and significant cost parameters for the design of electric bus systems |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2020-06-01 |
description |
Without experiences of electric buses, public transport authorities and bus operators have faced questions about how to implement them in a cost-effective way. Simple cost modelling cannot show how costs for different types of electric buses differ between different routes and timetables. Tools (e.g., HASTUS, PtMS, and optibus) which can analyse such details are complicated, time consuming to use, and provide insufficient insights into the mechanisms that influence the cost. This paper therefore proposes a method for how to calculate total cost of ownership, for different types of electric buses, in a way which can predict how the cost varies based on route and timetable. The method excludes factors which cause minor cost variations in an almost random manor, in order to better show the fundamental mechanisms influencing different costs. The method will help in finding ways to reduce the cost and help to define a few cases which deserve a deep analysis with more complete tools. Testing of the method in a Swedish context showed that the results are in line with other theoretical and practical studies, and how the total cost of ownership can vary depending on the variables. |
topic |
electric bus cost model total cost of ownership TCO charging strategy public transport |
url |
https://www.mdpi.com/1996-1073/13/12/3262 |
work_keys_str_mv |
AT andersgrauers totalcostofownershipmodelandsignificantcostparametersforthedesignofelectricbussystems AT svenboren totalcostofownershipmodelandsignificantcostparametersforthedesignofelectricbussystems AT oscarenerback totalcostofownershipmodelandsignificantcostparametersforthedesignofelectricbussystems |
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