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  • 1
    Publication Date: 2023-07-18
    Description: QTDIAN - Quantification of Technological DIffusion and sociAl constraiNts - is a toolbox of qualitative and quantitative descriptions of socio-technical and political aspects of the energy transition that influence the overall potential, the rate of energy-related technology and service diffusion and the design of the future energy system. The output of QTIDIAN is empirically founded datasets of social and political drivers and barriers of the transition, both in the form of raw data describing past and current developments and manipulated to constitute consistent quantifications of the storylines. Here you can download the data for six QTDIAN themes: Socially feasible scaling of energy technologies Policy preferences & dynamics Barriers to infrastructural development (wind energy, grid development) Citizen energy Private energy demand
    Language: English
    Type: info:eu-repo/semantics/annotation
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  • 2
    Publication Date: 2024-02-13
    Description: This report contributes to the modelling work in SENTINEL and beyond in two main ways. First, we provide three social storylines that are closely linked to different governance logics and build on observed social and political drivers and barriers in the European energy transition. This is different than most other storylines used for modelling, because ours are based on governance patterns and normative assumptions of a “good future”, and not on the more common geopolitical or techno-economic storyline assumptions. Second, we provide quantitative, empirical data for several important social/political parameters that can be used together with the storylines or as separate building blocks to answer specific research questions with energy models.
    Language: English
    Type: info:eu-repo/semantics/report
    Format: application/pdf
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2023-07-18
    Description: QTDIAN - Quantification of Technological DIffusion and sociAl constraiNts - is a toolbox of qualitative and quantitative descriptions of socio-technical and political aspects of the energy transition that influence the overall potential, the rate of energy-related technology and service diffusion and the design of the future energy system. The output of QTIDIAN is empirically founded datasets of social and political drivers and barriers of the transition, both in the form of raw data describing past and current developments and manipulated to constitute consistent quantifications of the storylines. Here you can download the data for six QTDIAN themes: Socially feasible scaling of energy technologies Policy preferences & dynamics Barriers to infrastructural development, Citizen energy Private energy demand
    Language: English
    Type: info:eu-repo/semantics/annotation
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2024-02-13
    Description: This report contributes to the modelling work in SENTINEL and beyond in three main ways. First, we provide three social storylines that are closely linked to different governance logics and build on observed social and political drivers and barriers in the European energy transition. This is different than most other storylines used for modelling, because ours are based on governance patterns and normative assumptions of a “good future”, and not on the more commonly used geopolitical or techno-economic storyline assumptions. Second, we provide quantitative, empirical data for several important social/political parameters that can be used together with the storylines or as separate building blocks to answer specific research questions with energy models. Third, to test the usefulness of QTDIAN, we have soft-linked QTDIAN with the energy demand models DESSTINEE, HEB and DREEM, the energy system design model Euro-Calliope, and indirectly with the economic model WEGDYN. Based on feedback from the modelling exercises, we have revised QTDIAN and publish now this updated report 2.0 to improve its usefulness for a more realistic analysis of potential future energy systems.
    Language: English
    Type: info:eu-repo/semantics/report
    Format: application/pdf
    Location Call Number Expected Availability
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