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Modelling CO2 emissions from passenger cars for Swedish municipalities
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Natural Resources and Sustainable Development.
2019 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The ratification of the Paris agreement has motivated nations to investigate howsubstantial greenhouse gas emission reductions can be accomplished for limiting globalwarming under two degrees Celsius. In Sweden, the magnitude of CO2 emissionsfrom domestic transportation is approximately one third of all other emission sectorscombined. It is therefore crucial for Sweden to stimulate substantial reductions in thissector. Local actors' possibilities to contribute to climate change mitigation arecentral to succeed albeit constrained in the transportation sector due to data andresource limitations. With the intention to benefit local climate change mitigationwork, a model capable of estimating the tailpipe CO2 emissions from passenger carswas created. The modelling exploited traffic work data from mandatory vehiclechecks conducted in Sweden for calculating CO2 emissions per car and year for theperiod of 1999-2017, to thereafter be aggregated for a municipality, i.e. a bottom-upapproach. The model and model results have been validated with official data andemission factors from HBEFA, whereas model configurations have also beencontrolled with sensitivity analyses. The model was applied for a case-study, Järfälla, amunicipality who recently had a carbon budget developed. Model results illustrated anincreasing trend in CO2 emissions for the period of 1999-2017 and were alsopresented over fuel technology, mass and car age. Moreover, the model was appliedto produce CO2 estimates per postal codes in the municipality for 2017 and toquantify the effect of explorative scenarios, i.e. policy goals, on CO2 emissions.

Place, publisher, year, edition, pages
2019. , p. 106
Series
UPTEC STS, ISSN 1650-8319 ; 19021
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:uu:diva-385843OAI: oai:DiVA.org:uu-385843DiVA, id: diva2:1326077
Educational program
Systems in Technology and Society Programme
Supervisors
Examiners
Available from: 2019-06-17 Created: 2019-06-17 Last updated: 2019-06-17Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf