A Multi-Criteria Decision-Making Framework for Zero Emission Vehicle Fleet Renewal Considering Lifecycle and Scenario Uncertainty
In the last decade, with the increased concerns about the global environment, attempts have been made to promote the replacement of fossil fuels with sustainable sources. For transport, which accounts for around a quarter of total greenhouse gas emissions, meeting climate neutrality goals will requi...
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Format: | Article |
Language: | English |
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MDPI AG
2024-03-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/17/6/1371 |
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author | Giuseppe Aiello Salvatore Quaranta Rosalinda Inguanta Antonella Certa Mario Venticinque |
author_facet | Giuseppe Aiello Salvatore Quaranta Rosalinda Inguanta Antonella Certa Mario Venticinque |
author_sort | Giuseppe Aiello |
collection | DOAJ |
description | In the last decade, with the increased concerns about the global environment, attempts have been made to promote the replacement of fossil fuels with sustainable sources. For transport, which accounts for around a quarter of total greenhouse gas emissions, meeting climate neutrality goals will require replacing existing fleets with electric or hydrogen-propelled vehicles. However, the lack of adequate decision support approach makes the introduction of new propulsion technologies in the transportation sector a complex strategic decision problem where distorted non-optimal decisions may easily result in long-term negative effects on the performance of logistic operators. This research addresses the problem of transport fleet renewal by proposing a multi-criteria decision-making approach and takes into account the multiple propulsion technologies currently available and the objectives of the EU Green Deal, as well as the inherent scenario uncertainty. The proposed approach, based on the TOPSIS model, involves a novel decision framework referred to as a generalized life cycle evaluation of the environmental and cost objectives, which is necessary when comparing green and traditional propulsion systems in a long-term perspective to avoid distorted decisions. Since the objective of the study is to provide a practical methodology to support strategic decisions, the framework proposed has been validated against a practical case referred to the strategic fleet renewal decision process. The results obtained demonstrate how the decision maker’s perception of the technological evolution of the propulsion technologies influences the decision process, thus leading to different optimal choices. |
first_indexed | 2024-04-24T18:21:12Z |
format | Article |
id | doaj.art-533b9a6d30444791aad1669b513412c7 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-04-24T18:21:12Z |
publishDate | 2024-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-533b9a6d30444791aad1669b513412c72024-03-27T13:35:34ZengMDPI AGEnergies1996-10732024-03-01176137110.3390/en17061371A Multi-Criteria Decision-Making Framework for Zero Emission Vehicle Fleet Renewal Considering Lifecycle and Scenario UncertaintyGiuseppe Aiello0Salvatore Quaranta1Rosalinda Inguanta2Antonella Certa3Mario Venticinque4Department of Engineering, University of Palermo, 90128 Palermo, ItalyDepartment of Engineering, University of Palermo, 90128 Palermo, ItalyDepartment of Engineering, University of Palermo, 90128 Palermo, ItalyDepartment of Engineering, University of Palermo, 90128 Palermo, ItalyCNR-ISAFoM Istituto per i Sistemi Agricoli e Forestali del Mediterraneo, 87036 Rende, ItalyIn the last decade, with the increased concerns about the global environment, attempts have been made to promote the replacement of fossil fuels with sustainable sources. For transport, which accounts for around a quarter of total greenhouse gas emissions, meeting climate neutrality goals will require replacing existing fleets with electric or hydrogen-propelled vehicles. However, the lack of adequate decision support approach makes the introduction of new propulsion technologies in the transportation sector a complex strategic decision problem where distorted non-optimal decisions may easily result in long-term negative effects on the performance of logistic operators. This research addresses the problem of transport fleet renewal by proposing a multi-criteria decision-making approach and takes into account the multiple propulsion technologies currently available and the objectives of the EU Green Deal, as well as the inherent scenario uncertainty. The proposed approach, based on the TOPSIS model, involves a novel decision framework referred to as a generalized life cycle evaluation of the environmental and cost objectives, which is necessary when comparing green and traditional propulsion systems in a long-term perspective to avoid distorted decisions. Since the objective of the study is to provide a practical methodology to support strategic decisions, the framework proposed has been validated against a practical case referred to the strategic fleet renewal decision process. The results obtained demonstrate how the decision maker’s perception of the technological evolution of the propulsion technologies influences the decision process, thus leading to different optimal choices.https://www.mdpi.com/1996-1073/17/6/1371logisticshydrogentotal cost of ownershipwell to wheelTopsisdecarbonization |
spellingShingle | Giuseppe Aiello Salvatore Quaranta Rosalinda Inguanta Antonella Certa Mario Venticinque A Multi-Criteria Decision-Making Framework for Zero Emission Vehicle Fleet Renewal Considering Lifecycle and Scenario Uncertainty Energies logistics hydrogen total cost of ownership well to wheel Topsis decarbonization |
title | A Multi-Criteria Decision-Making Framework for Zero Emission Vehicle Fleet Renewal Considering Lifecycle and Scenario Uncertainty |
title_full | A Multi-Criteria Decision-Making Framework for Zero Emission Vehicle Fleet Renewal Considering Lifecycle and Scenario Uncertainty |
title_fullStr | A Multi-Criteria Decision-Making Framework for Zero Emission Vehicle Fleet Renewal Considering Lifecycle and Scenario Uncertainty |
title_full_unstemmed | A Multi-Criteria Decision-Making Framework for Zero Emission Vehicle Fleet Renewal Considering Lifecycle and Scenario Uncertainty |
title_short | A Multi-Criteria Decision-Making Framework for Zero Emission Vehicle Fleet Renewal Considering Lifecycle and Scenario Uncertainty |
title_sort | multi criteria decision making framework for zero emission vehicle fleet renewal considering lifecycle and scenario uncertainty |
topic | logistics hydrogen total cost of ownership well to wheel Topsis decarbonization |
url | https://www.mdpi.com/1996-1073/17/6/1371 |
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