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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Main Authors: Giuseppe Aiello, Salvatore Quaranta, Rosalinda Inguanta, Antonella Certa, Mario Venticinque
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Energies
Subjects:
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.
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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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