Blat Belmonte, Benjamin ; Esser, Arved ; Weyand, Steffi ; Franke, Georg ; Schebek, Liselotte ; Rinderknecht, Stephan (2024)
Identification of the Optimal Passenger Car Vehicle Fleet Transition for Mitigating the Cumulative LifeCycle Greenhouse Gas Emissions until 2050.
In: Vehicles, 2020, 2 (1)
doi: 10.26083/tuprints-00022274
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
We present an optimization model for the passenger car vehicle fleet transition—the time-dependent fleet composition—in Germany until 2050. The goal was to minimize the cumulative greenhouse gas (GHG) emissions of the vehicle fleet taking into account life-cycle assessment (LCA) data. LCAs provide information on the global warming potential (GWP) of different powertrain concepts. Meta-analyses of batteries, of different fuel types, and of the German energy sector are conducted to support the model. Furthermore, a sensitivity-analysis is performed on four key influence parameters: the battery production emissions trend, the German energy sector trend, the hydrogen production path trend, and the mobility sector trend. Overall, we draw the conclusion that—in any scenario—future vehicles should have a plug-in option, allowing their usage as fully or partly electrical vehicles. For short distance trips, battery electric vehicles (BEVs) with a small battery size are the most reasonable choice throughout the transition. Plug-in hybrid electric vehicles (PHEVs) powered by compressed natural gas (CNG) emerge as promising long-range capable solution. Starting in 2040, long-range capable BEVs and fuel cell plug-in hybrid electric vehicles (FCPHEVs) have similar life-cycle emissions as PHEV-CNG.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2024 |
Autor(en): | Blat Belmonte, Benjamin ; Esser, Arved ; Weyand, Steffi ; Franke, Georg ; Schebek, Liselotte ; Rinderknecht, Stephan |
Art des Eintrags: | Zweitveröffentlichung |
Titel: | Identification of the Optimal Passenger Car Vehicle Fleet Transition for Mitigating the Cumulative LifeCycle Greenhouse Gas Emissions until 2050 |
Sprache: | Englisch |
Publikationsjahr: | 12 Januar 2024 |
Ort: | Darmstadt |
Publikationsdatum der Erstveröffentlichung: | 2020 |
Ort der Erstveröffentlichung: | Basel |
Verlag: | MDPI |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Vehicles |
Jahrgang/Volume einer Zeitschrift: | 2 |
(Heft-)Nummer: | 1 |
Kollation: | 26 Seiten |
DOI: | 10.26083/tuprints-00022274 |
URL / URN: | https://tuprints.ulb.tu-darmstadt.de/22274 |
Zugehörige Links: | |
Herkunft: | Zweitveröffentlichung DeepGreen |
Kurzbeschreibung (Abstract): | We present an optimization model for the passenger car vehicle fleet transition—the time-dependent fleet composition—in Germany until 2050. The goal was to minimize the cumulative greenhouse gas (GHG) emissions of the vehicle fleet taking into account life-cycle assessment (LCA) data. LCAs provide information on the global warming potential (GWP) of different powertrain concepts. Meta-analyses of batteries, of different fuel types, and of the German energy sector are conducted to support the model. Furthermore, a sensitivity-analysis is performed on four key influence parameters: the battery production emissions trend, the German energy sector trend, the hydrogen production path trend, and the mobility sector trend. Overall, we draw the conclusion that—in any scenario—future vehicles should have a plug-in option, allowing their usage as fully or partly electrical vehicles. For short distance trips, battery electric vehicles (BEVs) with a small battery size are the most reasonable choice throughout the transition. Plug-in hybrid electric vehicles (PHEVs) powered by compressed natural gas (CNG) emerge as promising long-range capable solution. Starting in 2040, long-range capable BEVs and fuel cell plug-in hybrid electric vehicles (FCPHEVs) have similar life-cycle emissions as PHEV-CNG. |
Freie Schlagworte: | fleet transition, optimization, lifecycle assessment, greenhouse gas, global warming potential, vehicle powertrain concepts |
Status: | Verlagsversion |
URN: | urn:nbn:de:tuda-tuprints-222744 |
Zusätzliche Informationen: | This article belongs to the Special Issue Future Powertrain Technologies |
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau 600 Technik, Medizin, angewandte Wissenschaften > 624 Ingenieurbau und Umwelttechnik |
Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut IWAR - Wasser- und Abfalltechnik, Umwelt- und Raumplanung 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut IWAR - Wasser- und Abfalltechnik, Umwelt- und Raumplanung > Fachgebiet Stoffstrommanagement und Ressourcenwirtschaft 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Mechatronische Systeme im Maschinenbau (IMS) |
Hinterlegungsdatum: | 12 Jan 2024 13:43 |
Letzte Änderung: | 15 Jan 2024 14:46 |
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