Show simple item record

dc.contributorUniversitat Ramon Llull. IQS
dc.contributor.authorNeidhardt, Michael
dc.contributor.authorMas-Peiro, Jordi
dc.contributor.authorSchneck, Antonia
dc.contributor.authorPou Ibar, Josep Oriol, 1980-
dc.contributor.authorGonzález Olmos, Rafael
dc.contributor.authorKwade, Arno
dc.contributor.authorSchmuelling, Benedikt
dc.date.accessioned2024-10-18T18:18:55Z
dc.date.available2024-10-18T18:18:55Z
dc.date.issued2022
dc.identifier.issn2071-1050ca
dc.identifier.urihttp://hdl.handle.net/20.500.14342/4441
dc.description.abstractElectric mobility is considered a solution to reduce carbon emissions. We expanded a lifecycle assessment with data on technical limitations and driving habits (based on real-world data) in order to identify the environmentally optimal drivetrain for each individual driving behavior with current and projected technologies, focusing on CO2 emissions. By combining all data, an environmentally optimal European drivetrain mix is calculated, which is dominated by fuel-cell electric vehicles (50% in 2020, 47% in 2030), followed by plug-in hybrid-electric vehicles (37%, 40%), battery-electric vehicles (BEV) (5%, 12%), and Diesel vehicles (2%, 1%). Driving behavior defines the most environmental drivetrain and the coexistence of different drivetrains is currently still necessary. Such information is crucial to identify limitations and unmet technological needs for full electrification. If range is not considered a limitation, the environmentally optimal drivetrain mix is dominated by BEVs (71%, 75%), followed by fuel cell electric vehicles (25%, 19%) and plug-in electric vehicles (4%, 6%). This confirms the potential environmental benefits of BEVs for current and future transportation. Developments in battery energy density, charging, and sustainable production, as well as a change in driving behavior, will be crucial to make BEVs the environmentally optimal drivetrain choice.ca
dc.format.extentp.19ca
dc.language.isoengca
dc.publisherMDPIca
dc.relation.ispartofSustainability 2022, 14(23), 15972ca
dc.rights© L'autor/aca
dc.rightsAttribution 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherElectric vehiclesca
dc.subject.otherLife cycle assessmentca
dc.subject.otherEnvironmental impact analysisca
dc.subject.otherSustainable urban developmentca
dc.subject.otherSustainable transportca
dc.subject.otherElectrification forecastca
dc.subject.otherAutomotive fleet analysisca
dc.subject.otherVehicles elèctricsca
dc.subject.otherMedi ambient--Anàlisi d'impacteca
dc.subject.otherDesenvolupament urbà sostenibleca
dc.subject.otherElectrificacióca
dc.titleAutomotive Electrification Challenges Shown by Real-World Driving Data and Lifecycle Assessmentca
dc.typeinfo:eu-repo/semantics/articleca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.subject.udc504ca
dc.subject.udc629ca
dc.identifier.doihttps://doi.org/10.3390/su142315972ca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca


Files in this item

 

This item appears in the following Collection(s)

Show simple item record

© L'autor/a
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
Share on TwitterShare on LinkedinShare on FacebookShare on TelegramShare on WhatsappPrint