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The QTDIAN modelling toolbox – Quantification of social drivers and constraints of the diffusion of energy technologies. Deliverable 2.3. Version 2. Sustainable Energy Transitions Laboratory (SENTINEL) project

Authors
/persons/resource/1489

Süsser,  Diana
IASS Institute for Advanced Sustainability Studies Potsdam;

Chatterjee,  Souran
External Organizations;

Mayer,  Jakob
External Organizations;

Oreggioni,  Gabriel
External Organizations;

Pickering,  Bryn
External Organizations;

al Rakouki,  Housam
External Organizations;

Sanvito,  Francesco
External Organizations;

Stravrakas,  Vassilis
External Organizations;

/persons/resource/1277

Lilliestam,  Johan
IASS Institute for Advanced Sustainability Studies Potsdam;

External Ressource
Fulltext (public)

6002527.pdf
(Publisher version), 5MB

Supplementary Material (public)
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Citation

Süsser, D., Chatterjee, S., Mayer, J., Oreggioni, G., Pickering, B., al Rakouki, H., Sanvito, F., Stravrakas, V., Lilliestam, J. (2022): The QTDIAN modelling toolbox – Quantification of social drivers and constraints of the diffusion of energy technologies. Deliverable 2.3. Version 2. Sustainable Energy Transitions Laboratory (SENTINEL) project, Potsdam : Institute for Advanced Sustainability Studies (IASS), 121 p.
https://doi.org/10.48481/iass.2022.042


Cite as: https://publications.rifs-potsdam.de/pubman/item/item_6002527
Abstract
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.