Change search
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
Exploring local CO2 mitigation strategies in transportation under ambitious national policies – A participatory energy system modelling approach
Luleå University of Technology, Department of Engineering Sciences and Mathematics.ORCID iD: 0000-0003-2930-9688
Luleå University of Technology, Department of Social Sciences, Technology and Arts.ORCID iD: 0000-0003-1631-0591
Luleå University of Technology, Department of Engineering Sciences and Mathematics.ORCID iD: 0000-0002-2601-2558
(English)Manuscript (preprint) (Other academic)
Abstract [en]

Sweden has adopted ambitious climate targets which require deep cuts in CO2 emissions from transportation. To achieve this, it has introduced policies to incentivise the electrification of road vehicles and progressive blending-in of biofuels. Many local governments have committed to do their share, but the impact of local strategies remains unclear. Here, locally rooted mitigation strategies are explored by applying a novel approach to participatory energy-system modelling via multiple researcher–practitioner interactions stretching over two years. A comprehensive Energy System Optimisation Model (ESOM) was used to assess the impact of local mitigation strategies employed in 15 municipalities, under a set of existing ambitious national policies. The results show that, while local strategies can help reduce energy-related CO2 emissions, the direct impact on such emissions is reduced under ambitious national policies. Still, local strategies to increase public transport and active travelling, and facilitate remote working also have local benefits as improved air quality and reduced traffic noise. Local policymakers should put stronger emphasis on such benefits. Finally, the long-term participatory approach also helped to build practitioners’ trust in the modelling process and created an environment for mutual learning and deeper understanding of climate mitigation options. These benefits justify the resource-intensive process.

Keywords [en]
energy system optimisation model (ESOM), avoid–shift–improve strategies, transport policy, climate change mitigation pathway, participatory energy-system modelling
National Category
Political Science Energy Engineering
Research subject
Energy Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-102357OAI: oai:DiVA.org:ltu-102357DiVA, id: diva2:1810763
Funder
Swedish Research Council Formas, 2019-00258Swedish Energy Agency, 48603-1Available from: 2023-11-09 Created: 2023-11-09 Last updated: 2023-11-22
In thesis
1. On the road to climate neutral Swedish transportation: Energy system modelling to support the transition at national, regional, and local levels
Open this publication in new window or tab >>On the road to climate neutral Swedish transportation: Energy system modelling to support the transition at national, regional, and local levels
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Transportation is a critical pillar of modern society. Over the past decades, growth in mobility of people and goods have been both enabled by and dependent upon fossil fuels. Strong action is needed to break this dependence in order to reduce CO2. The overall aim of this thesis is to support the transition towards climate neutral transportation in Sweden considering local, regional, and national settings, by use of TIMES-based ESOMs. This is addressed by i) developing and adapting transport sector representation in TIMES models considering context specific conditions and preferences, ii) applying the models to define and explore alternative long-term scenarios that meet the overall goals, iii) and identify key measures and policy implications for achieving climate neutral transportation.

In Paper I (Local setting) key considerations and requirements in respect of modelling local energy transition of transportation in a TIMES energy system modelling framework was outlined. The model was then applied to address potential trade-offs between global climate concerns and local air quality issues (Paper II – Local setting). The results showed that decarbonisation with biofuels does little to enhance local air quality, while zero-emission vehicles – that eliminate all local tailpipe emissions – can induce significant upstream CO2 emissions (from energy supply sectors). Comprehensive multi-level strategies are needed to drastically reduce both CO2 and local air pollutants. In Paper III (Regional setting), a participatory modelling approach was applied that involved local practitioners from 15 municipalities. The model results showed that strong national policies can drive down CO2 emissions drastically, and that the impacts from sub-national strategies was very limited under these policies. Still, during the discussions with local practitioners it was emphasized that local action is needed for enabling the measures seen as cost-efficient in the model analysis.

The TIMES-Sweden model was adapted and used to explore key decarbonisation options in passenger and freight transportation, in a whole-energy-systems perspective. The model was disaggregated to capture underlying contextual heterogeneity in passenger transportation found across the country (Paper IV – National setting). The results showed that different policy strategies have different implications depending on the context, thus, underpinning a shift from one-size-fits-all policies into more regionally tailored strategies. Next (Paper V – National setting), the same model was used to investigate principally different modes of decarbonising domestic freight transportation. The results showed that road freight electrification reduces total demand for electricity over the entire energy system compared to the biofuel and the e-fuel pathways respectively, while also freeing biomass for other purposes than producing biofuels for road vehicles.

Finally, the usefulness of ESOMs to identify policies to accelerate the decarbonization of transportation has been demonstrated, while outlining some challenges. For local level, the necessary data to calibrate the model was often not available, or available but with a system boundary representation incompliant with the model approach (e.g., fuel statistics). At the national level, a new approach was introduced that capture the underlying contextual factors of different actors. While capturing differences between urban, suburban and rural conditions, more research is needed to identify policies that ensure a just transition across socioeconomic groups.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2023
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
Keywords
Energy transition, Energy system modelling, TIMES-City, TIMES-Sweden, Transportation, Decarbonisation, Climate mitigation
National Category
Energy Systems Energy Engineering
Research subject
Energy Engineering
Identifiers
urn:nbn:se:ltu:diva-102388 (URN)978-91-8048-440-4 (ISBN)978-91-8048-441-1 (ISBN)
Public defence
2024-01-26, E632, Luleå University of Technology, Luleå, 09:00 (English)
Opponent
Supervisors
Available from: 2023-11-13 Created: 2023-11-10 Last updated: 2024-01-05Bibliographically approved

Open Access in DiVA

No full text in DiVA

Search in DiVA

By author/editor
Forsberg, JonasLundmark, CarinaKrook-Riekkola, Anna
By organisation
Department of Engineering Sciences and MathematicsDepartment of Social Sciences, Technology and Arts
Political ScienceEnergy Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 78 hits
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