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
Article, Secondary publication, Publisher's Version
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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.
| Item Type: | Article |
|---|---|
| Erschienen: | 2024 |
| Creators: | Blat Belmonte, Benjamin ; Esser, Arved ; Weyand, Steffi ; Franke, Georg ; Schebek, Liselotte ; Rinderknecht, Stephan |
| Type of entry: | Secondary publication |
| Title: | Identification of the Optimal Passenger Car Vehicle Fleet Transition for Mitigating the Cumulative LifeCycle Greenhouse Gas Emissions until 2050 |
| Language: | English |
| Date: | 12 January 2024 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 2020 |
| Place of primary publication: | Basel |
| Publisher: | MDPI |
| Journal or Publication Title: | Vehicles |
| Volume of the journal: | 2 |
| Issue Number: | 1 |
| Collation: | 26 Seiten |
| DOI: | 10.26083/tuprints-00022274 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/22274 |
| Corresponding Links: | |
| Origin: | Secondary publication DeepGreen |
| 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. |
| Uncontrolled Keywords: | fleet transition, optimization, lifecycle assessment, greenhouse gas, global warming potential, vehicle powertrain concepts |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-222744 |
| Additional Information: | This article belongs to the Special Issue Future Powertrain Technologies |
| Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering 600 Technology, medicine, applied sciences > 624 Civil engineering and environmental protection engineering |
| Divisions: | 13 Department of Civil and Environmental Engineering Sciences 13 Department of Civil and Environmental Engineering Sciences > Institute IWAR 13 Department of Civil and Environmental Engineering Sciences > Institute IWAR > Material Flow Management and Resource Economy 16 Department of Mechanical Engineering 16 Department of Mechanical Engineering > Institute for Mechatronic Systems in Mechanical Engineering (IMS) |
| Date Deposited: | 12 Jan 2024 13:43 |
| Last Modified: | 15 Jan 2024 14:46 |
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| Suche nach Titel in: | TUfind oder in Google |
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