LAPSE:2023.6743
Published Article

LAPSE:2023.6743
Multi-Criterial Assessment of Electric Vehicle Integration into the Commercial Sector—A Case Study
February 24, 2023
Abstract
Transforming the transport sector to zero emission is an integral part of changes to the energy sector worldwide. This effects not only the electrification of the private sector but also the commercial sector. The aim of this study is to develop methodologies, algorithms and associated requirements for the integration of electric vehicles into a logistics application with a possible reduction in operating costs. The most favorable solution for a company was evaluated using the analytic hierarchy process algorithm considering three main aspects: economic, environmental and technical. An analysis of the environmental impact of the vehicle fleet in terms of atmospheric emissions was also conducted, based on the data available for combustion and electric vehicles, considering the well-to-tank approach. The costs associated with operating an electric vehicle were identified and compared to the current costs associated with operating a standard diesel-based fleet. Incorporating the identified costs of electrifying the vehicle fleet, an algorithm was implemented to reduce the number of vehicles in the company and, thereby, significantly reducing the costs associated with fleet maintenance.
Transforming the transport sector to zero emission is an integral part of changes to the energy sector worldwide. This effects not only the electrification of the private sector but also the commercial sector. The aim of this study is to develop methodologies, algorithms and associated requirements for the integration of electric vehicles into a logistics application with a possible reduction in operating costs. The most favorable solution for a company was evaluated using the analytic hierarchy process algorithm considering three main aspects: economic, environmental and technical. An analysis of the environmental impact of the vehicle fleet in terms of atmospheric emissions was also conducted, based on the data available for combustion and electric vehicles, considering the well-to-tank approach. The costs associated with operating an electric vehicle were identified and compared to the current costs associated with operating a standard diesel-based fleet. Incorporating the identified costs of electrifying the vehicle fleet, an algorithm was implemented to reduce the number of vehicles in the company and, thereby, significantly reducing the costs associated with fleet maintenance.
Record ID
Keywords
AHP algorithm, E-LCV, electric commercial light vehicles, electric vehicle fleet, electric vehicle logistic utilization, electric vehicles, TCO analyses, well-to-wheels analyses
Subject
Suggested Citation
Pietracho R, Wenge C, Komarnicki P, Kasprzyk L. Multi-Criterial Assessment of Electric Vehicle Integration into the Commercial Sector—A Case Study. (2023). LAPSE:2023.6743
Author Affiliations
Pietracho R: Institute for Electrical Engineering, University of Applied Science Magdeburg, 39114 Magdeburg, Germany
Wenge C: Fraunhofer Institute for Factory Operation and Automation IFF, 39106 Magdeburg, Germany [ORCID]
Komarnicki P: Institute for Electrical Engineering, University of Applied Science Magdeburg, 39114 Magdeburg, Germany
Kasprzyk L: Institute of Electrical Engineering and Electronics, Poznan University of Technology, 60965 Poznan, Poland [ORCID]
Wenge C: Fraunhofer Institute for Factory Operation and Automation IFF, 39106 Magdeburg, Germany [ORCID]
Komarnicki P: Institute for Electrical Engineering, University of Applied Science Magdeburg, 39114 Magdeburg, Germany
Kasprzyk L: Institute of Electrical Engineering and Electronics, Poznan University of Technology, 60965 Poznan, Poland [ORCID]
Journal Name
Energies
Volume
16
Issue
1
First Page
462
Year
2022
Publication Date
2022-12-31
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16010462, Publication Type: Journal Article
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Published Article

LAPSE:2023.6743
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https://doi.org/10.3390/en16010462
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[v1] (Original Submission)
Feb 24, 2023
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Feb 24, 2023
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