Next Article in Journal
A Sustainability Assessment of the Greenseeker N Management Tool: A Lysimetric Experiment on Barley
Next Article in Special Issue
Environmental Impact Assessment of the Transportation Sector and Hybrid Vehicle Implications in Palestine
Previous Article in Journal
Analysis of Urban Morphological Effect on the Microclimate of the Urban Residential Area of Kampung Baru in Kuala Lumpur Using a Geospatial Approach
Previous Article in Special Issue
Measuring System-Level Impacts of Corporate Mobility as a Service (CMaaS) Based on Empirical Evidence
Article

Method for a Multi-Vehicle, Simulation-Based Life Cycle Assessment and Application to Berlin’s Motorized Individual Transport

Department Methods for Product Development and Mechatronics, Technische Universität Berlin, 10623 Berlin, Germany
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(18), 7302; https://doi.org/10.3390/su12187302
Received: 27 July 2020 / Revised: 3 September 2020 / Accepted: 3 September 2020 / Published: 6 September 2020
The transport sector in Germany causes one-quarter of energy-related greenhouse gas emissions. One potential solution to reduce these emissions is the use of battery electric vehicles. Although a number of life cycle assessments have been conducted for these vehicles, the influence of a transport system-wide transition has not been addressed sufficiently. Therefore, we developed a method which combines life cycle assessment with an agent-based transport simulation and synthetic electric-, diesel- and gasoline-powered vehicle models. We use a transport simulation to obtain the number of vehicles, their lifetime mileage and road-specific consumption. Subsequently, we analyze the product systems’ vehicle production, use phase and end-of-life. The results are scaled depending on the covered distance, the vehicle weight and the consumption for the whole life cycle. The results indicate that the sole transition of drive trains is insufficient to significantly lower the greenhouse gas emissions. However, sensitivity analyses demonstrate that there is a considerable potential to reduce greenhouse gas emissions with higher shares of renewable energies, a different vehicle distribution and a higher lifetime mileage. The method facilitates the assessment of the ecological impacts of complete car-based transportation in urban agglomerations and is able to analyze different transport sectors. View Full-Text
Keywords: life cycle assessment; agent-based traffic simulation; battery electric vehicles; sustainability; urban transportation; urban mobility; environmental engineering life cycle assessment; agent-based traffic simulation; battery electric vehicles; sustainability; urban transportation; urban mobility; environmental engineering
Show Figures

Figure 1

MDPI and ACS Style

Syré, A.M.; Heining, F.; Göhlich, D. Method for a Multi-Vehicle, Simulation-Based Life Cycle Assessment and Application to Berlin’s Motorized Individual Transport. Sustainability 2020, 12, 7302. https://doi.org/10.3390/su12187302

AMA Style

Syré AM, Heining F, Göhlich D. Method for a Multi-Vehicle, Simulation-Based Life Cycle Assessment and Application to Berlin’s Motorized Individual Transport. Sustainability. 2020; 12(18):7302. https://doi.org/10.3390/su12187302

Chicago/Turabian Style

Syré, Anne M., Florian Heining, and Dietmar Göhlich. 2020. "Method for a Multi-Vehicle, Simulation-Based Life Cycle Assessment and Application to Berlin’s Motorized Individual Transport" Sustainability 12, no. 18: 7302. https://doi.org/10.3390/su12187302

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop