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The paper outlines the methodology for the extension of the assessment of transport scenarios to include a life cycle perspective. When considering greenhouse gas emissions in the operational phase, the inclusion of the upstream chain increases emissions in conventional systems by only 17% to 19%. In transport systems that utilise a large share of electricity generated predominantly from renewable energies without direct emissions, this value can rise sharply. In the present case, up to 304%. The emissions currently associated with the production of the transport fleet correspond to 56 Mt CO2e and thus 22% of total emissions. In most scenarios, however, this value decreases more slowly than the operational emissions. This increases the share of emissions caused by production. Thus, the inclusion of life cycle emissions is an important component for assessing sustainability.
Simon Pichlmaier; Michael Kult; Ulrich Wagner. Extension of Energy and Transport Scenario Modelling to Include a Life Cycle Perspective. Future Transportation 2021, 1, 188 -201.
AMA StyleSimon Pichlmaier, Michael Kult, Ulrich Wagner. Extension of Energy and Transport Scenario Modelling to Include a Life Cycle Perspective. Future Transportation. 2021; 1 (2):188-201.
Chicago/Turabian StyleSimon Pichlmaier; Michael Kult; Ulrich Wagner. 2021. "Extension of Energy and Transport Scenario Modelling to Include a Life Cycle Perspective." Future Transportation 1, no. 2: 188-201.
This article applies the Well-to-Wheels (WTW) methodology in order to evaluate to which extent alternative fuels and powertrains can contribute to GHG emissions reductions within the heavy-duty segment of the European Union (EU). The analysis compares the WTW chain of diesel as the fossil benchmark to biodiesel, bio-methane, Power-to-Liquid (PtL) and Power-to-Gas (PtG) fuels, as well as catenary electric vehicles (CEVs) in heavy-duty tractor-trailers. The WTW analysis found that fuel and powertrain combinations from renewable energy sources offer a high potential for reducing GHG emissions as compared to diesel, however, the magnitude of the reductions significantly varies depending on feedstock and fuel type. Taking feedstock availability into account, the direct use of electricity in CEVs was identified as the most promising option for decarbonizing the heavy-duty long-haul sector, although the performance of CEVs depends on the extent to which the required energy comes from non-fossil resources.
Mara Kuttler; Simon Pichlmaier. Analysis of Fuel and Powertrain Combinations for Heavy-Duty Vehicles from a Well-to-Wheels Perspective: Model Development and Sample Application. Sustainable Production, Life Cycle Engineering and Management 2020, 25 -40.
AMA StyleMara Kuttler, Simon Pichlmaier. Analysis of Fuel and Powertrain Combinations for Heavy-Duty Vehicles from a Well-to-Wheels Perspective: Model Development and Sample Application. Sustainable Production, Life Cycle Engineering and Management. 2020; ():25-40.
Chicago/Turabian StyleMara Kuttler; Simon Pichlmaier. 2020. "Analysis of Fuel and Powertrain Combinations for Heavy-Duty Vehicles from a Well-to-Wheels Perspective: Model Development and Sample Application." Sustainable Production, Life Cycle Engineering and Management , no. : 25-40.
As greenhouse gas (GHG) emissions need to be reduced in order to limit the effects of climate change, Life Cycle Assessment (LCA) provides an internationally recognized framework to evaluate the environmental impact of energy supply and application technologies. However, standard LCA approaches are unable to depict the high dynamics of the future energy system. High shares of renewable energies and more variable loads intensify these dynamics according to a wide range of energy system scenarios. Therefore, a dynamisation and modularisation of the classic LCA approach is proposed in order to easily integrate the simulated electricity generation from energy system models on an hourly basis as well as future energy technologies. A special focus is put on Power-to-X (PtX) technologies in the transport sector due to its potential in deep decarbonisation scenarios.
Simon Pichlmaier; Anika Regett; Stephan Kigle. Dynamisation of Life Cycle Assessment Through the Integration of Energy System Modelling to Assess Alternative Fuels. Sustainable Production, Life Cycle Engineering and Management 2019, 75 -86.
AMA StyleSimon Pichlmaier, Anika Regett, Stephan Kigle. Dynamisation of Life Cycle Assessment Through the Integration of Energy System Modelling to Assess Alternative Fuels. Sustainable Production, Life Cycle Engineering and Management. 2019; ():75-86.
Chicago/Turabian StyleSimon Pichlmaier; Anika Regett; Stephan Kigle. 2019. "Dynamisation of Life Cycle Assessment Through the Integration of Energy System Modelling to Assess Alternative Fuels." Sustainable Production, Life Cycle Engineering and Management , no. : 75-86.