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Data related to S��sser et al. (2021) QTDIAN modelling toolbox

Research datakeyboard_double_arrow_right Dataset 03 Jun 2021 English Publisher:Zenodo

Authors: S��sser, Diana; al Rakouki, Housam; Lilliestam, Johan;

doi: 10.5281/zenodo.5834010 , 10.5281/zenodo.4896874 , 10.5281/zenodo.4896873

Data related to S��sser et al. (2021) QTDIAN modelling toolbox

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Abstract

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 Further information on the QTDIAN modelling toolbox and the data can be found in the SENTINEL Deliverable 2.3 and Deliverable 2.4: S��sser, D., al Rakouki, H., & Lilliestam, J.(2021). The QTDIAN modelling toolbox��Quantification of social drivers and constraints of the diffusion of energy technologies. Deliverable 2.3. Sustainable Energy Transitions Laboratory (SENTINEL) project. Potsdam: Institute for Advanced Sustainability Studies (IASS). S��sser, D., Pickering, B., Chatterjee, S., Oreggioni, G., Stavrakas, V., & Lilliestam, J.(2021). Integration of socio-technological transition constraints into energy demand and systems models. Deliverable 2.5. Sustainable Energy Transitions Laboratory (SENTINEL) project. Potsdam: Institute for Advanced Sustainability Studies (IASS).

Related Organizations

Institute for Advanced Sustainability Studies
Germany
Chemnitz University of Technology
Germany
Chemnitz University of Technology
Germany

Keywords

690, Ecology, Chemical Sciences not elsewhere classified, Science Policy, Immunology, energy modelling, H2020, Plant Biology, QTDIAN, energy transition, social science, SENTINELenergy, EU, Biological Sciences not elsewhere classified

1 Research products, page 1 of 1

Integration of socio-technological transition constraints into energy demand and systems models. Deliverable 2.5. Sustainable Energy Transitions Laboratory (SENTINEL) project
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