Drivetrain Technology & Fleet Scenario Analysis (B2.1)

• Test of simulation framework
• Apply results to current Swiss fleet
  
  

Transport Impact Assessment (B2.2)

• Selection of representative performance indicators
• Small-scale test case
• Full indicator set for current technologies

Results    Indicators for technology performance

Energy-Economic Modeling (B2.3)

• Technology Data Base
• Working Model Framework
• Set of Scenario assumptions

Results    Summary: Analysis of energy-transport interactions in Switzerland over the long term

Socio-economic Aspects (B2.4)

• Map of Swiss transformation potential
• Map of potential options & barriers
• Transformation Framework

Results    Map of Swiss potential for transformation of mobility (full report) | Feb. 2017
               Transforming the Swiss Mobility System towards sustainability (working paper) | July 2017

                          
Top-down vision of future Swiss transport & mobility (B2.5)

• Top-down vision

Results    Towards an Energy Efficient and Climate Compatible Future Swiss Transportation System
                (full report) | May 2017
                Auf dem Weg zu einem energie-effizienten und klimafreundlichen Schweizer Mobilitätssystem
                (white paper) | September 2017

Development and large-scale testing of smartphone applications aimed at tracking mobility patterns and nudging behavior change

• Updated functionalities of the GoEco! (advanced social interactions, new means of transport and extrinsic motivation elements) – updated software and documentation [12, 2018]
• Assessment of long-term living-lab experiments. Analysis of effectiveness and barriers for large-scale exploitation of ICT tools favoring less car-dependent lifestyles through user awareness and social interactions [12, 2020]

Socio-economic system transformation

• Comprehensive summary of transformation interventions and measures ready [9, 2018]
• Report and presentation (start dissemination) of a transformation framework with guiding principles and best-practice for transformation addressing the stakeholder process [12, 2018]
• Empirical analysis on changes of lifestyle and society complete [6, 2020]
• Publication of final results about Swiss transformation typology with future relevant socio-economic developments linking the supply and demand of mobility [12, 2020]

Investor and consumer acceptance of electric mobility

• Public workshop on investment decisions in electric mobility at the St. Galler Forum for Management of Renewable Energies [6, 2019]
• Scientific publication on interplay of rational and affective factors in the decision process to buy an electric vehicle [6, 2020]

Environmental, cost, and risk assessment of future technologies

• Review CA A1-A3 results from phase I and complementary literature in order to expand the data sets to be used in B2.2 analysis [9, 2017]
• First estimates of external costs of mobility, complete internal report transferring data for new mobility datasets to the technology assessment group [9, 2018]
• Accordingly to M1 and M2, extension of mobility datasets to include future technology development [12, 2018]
• Final report on external costs of mobility (accidents, pollution, occupation of space, congestion, noise, etc.) [6, 2019]
• Final report integrating results of analysis of core technological advancements within 2nd phase of SCCER Mobility [12, 2019]

 
Trade-offs sustainability analysis employing multi-criteria decision analysis (MCDA)

• Sustainability indicator database [9, 2019]
• Completion of MCDA tool [12, 2019]
• Report on total costs of mobility [3, 2020]
• Final sustainability assessment report [12, 2020]

Extend methodologies for energy system modelling

• Working version of STEM model with the non-car fleet [3, 2019]
• Technology database (internal deliverable) [6, 2019]

Apply whole energy system model for long-term mobility scenario analysis

• Description of mobility scenarios and finalization of key scenario assumptions [12, 2018]
• Analytical results of integrated mobility scenarios [3, 2020]

Swiss TIMES Energy system Model (STEM) for transition scenario analysis

The Swiss TIMES Energy system Model (STEM) allows analyzing interactions between the energy and transport sector in Switzerland long term. The model evaluates car fleet scenarios with different shares of drivetrain technologies (internal combustion engine, hybrid, battery electric and fuel cells) with respect to their greenhouse gas emissions.

For more information contact or visit:

• Kannan Ramachandran
• www.psi.ch/eem/stem
• www.psi.ch/eem/sccer-mobility
• www.psi.ch/eem/energy-scenarios

 

Mobility and the energiewende: an environmental and economic life cycle assessment of the Swiss transport sector including developments until 2050

This dissertation is embedded in the Swiss Competence Center for Energy Research (SCCER) Mobility project, which aims to develop and assess technologies that will help to reduce the energy consumption and environmental impacts of transportation technologies (SCCER Mobility 2014). In particular, Brian Cox will contribute to work packages B2.1 “Drivetrain Technology and Fleet Scenario Analysis” and B2.2 “Transportation Impact Analysis”. Research Plan

Master Thesis

Environmental and economic assessment of current and future freight transport systems by road and rail in Switzerland: Ligen Y., Technology Assessment Group, Laboratory for Energy System Analysis Paul Scherrer Institute, Supervisors: Bauer C., Cox B., 2015   PDF

Life cycle assessment of current and future passenger air transport in Switzerland: Jemiolo W., Technology Assessment Group, Laboratory for Energy System Analysis, Paul Scherrer Institute, Supervisor: Cox B., Tutor: Solvoll G., 2015   PDF

2018

Cox, B. L., & Mutel, C. L. (2018). The environmental and cost performance of current and future motorcycles. Applied Energy, 212, 1013–1024. https://doi.org/10.1016/J.APENERGY.2017.12.100

Cox, B., Mutel, C. L., Bauer, C., Mendoza Beltran, A., & van Vuuren, D. P. (2018). Uncertain Environmental Footprint of Current and Future Battery Electric Vehicles. Environmental Science & Technology, acs.est.8b00261. https://pubs.acs.org/doi/10.1021/acs.est.8b00261

2017

Mutel, C. (2017). Brightway: An open source framework for Life Cycle Assessment. The Journal of Open Source, 2(12), 236. https://doi.org/10.21105/joss.00236

Mutel, C. (2017). Pandarus: GIS toolkit for regionalized life cycle assessment. The Journal of Open Source Software, 2(13), 244. https://doi.org/10.21105/joss.00244

2016

Cellina, F., Cavadini, P., Soldini, E., Bettini, A., & Rudel, R. (2016). Sustainable Mobility Scenarios in Southern Switzerland: Insights from Early Adopters of Electric Vehicles and Mainstream Consumers. Transportation Research Procedia, 14, 2584–2593. https://doi.org/10.1016/J.TRPRO.2016.05.406

Kannan, R., & Hirschberg, S. (2016). Interplay between electricity and transport sectors – Integrating the Swiss car fleet and electricity system. Transportation Research Part A: Policy and Practice, 94, 514–531. https://doi.org/10.1016/J.TRA.2016.10.007

Steubing, B., Mutel, C., Suter, F., & Hellweg, S. (2016). Streamlining scenario analysis and optimization of key choices in value chains using a modular LCA approach. The International Journal of Life Cycle Assessment, 21(4), 510–522. https://doi.org/10.1007/s11367-015-1015-3

Treyer, K., & Bauer, C. (2016). Life cycle inventories of electricity generation and power supply in version 3 of the ecoinvent database—part II: electricity markets. The International Journal of Life Cycle Assessment, 21(9), 1255–1268. https://doi.org/10.1007/s11367-013-0694-x

2015

Bauer, C., Hofer, J., Althaus, H.-J., Del Duce, A., & Simons, A. (2015). The environmental performance of current and future passenger vehicles: Life cycle assessment based on a novel scenario analysis framework. Applied Energy, 157, 871–883. https://doi.org/10.1016/J.APENERGY.2015.01.019

Hauptman, A., Hoppe, M., & Raban, Y. (2015). Wild cards in transport. European Journal of Futures Research, 3(1), 7. https://doi.org/10.1007/s40309-015-0066-9

Simons, A., & Bauer, C. (2015). A life-cycle perspective on automotive fuel cells. Applied Energy, 157, 884–896. https://doi.org/10.1016/J.APENERGY.2015.02.049

2014

Hoppe, Merja; Christ, A. (2014). The Transformation of Transportation: Which Borders Will We Have to Cross in the Future? Global Studies Journal.

Hoppe, M. (2014). Transformation towards Sustainable Mobility: Putting Principles of Sustainability into Practice of Policy and Planning. Spaces & Flows: An International Journal.

Hoppe, M., Christ, A., Castro, A., Winter, M., & Seppänen, T.-M. (2014). Transformation in transportation? European Journal of Futures Research, 2(1), 45. https://doi.org/10.1007/s40309-014-0045-6

Yazdanie, M., Noembrini, F., Dossetto, L., & Boulouchos, K. (2014). A comparative analysis of well-to-wheel primary energy demand and greenhouse gas emissions for the operation of alternative and conventional vehicles in Switzerland, considering various energy carrier production pathways. Journal of Power Sources, 249, 333–348. https://doi.org/10.1016/J.JPOWSOUR.2013.10.043