DLS21

dena Lead Study: The Road to Climate Neutrality

  • Project no.152330
  • Duration 08/2020 - 12/2021

dena's new lead study “The Road to Climate Neutrality” (German: Aufbruch Klimaneutralität) aims to identify paths and necessary strategic steps for the 2020s that will enable climate-neutral development by the year 2045. The project consortium evaluates measures of the German Climate Protection Act with regard to their impact, quantifies sectoral reduction targets and derives concrete strategies for action. The Wuppertal Institute and other external advisors accompany the development of quantitative scenarios in various cross-cutting modules that address cross-sectoral issues and instruments.

As an advisor of the lead study, the central task of the Wuppertal Institute is the conception and implementation of the cross-cutting module "Transformation". The module's results support and enhance the sectoral quantitative modeling. The work within the Transformation module builds on the insight that the energy transition cannot be implemented with technical and economic strategies alone, but requires fundamental societal acceptance as well as changes in behavioral routines and consumption and lifestyle patterns. For this, the energy transition must be understood as a positive project in which as many people as possible can actively participate, including economically.

The project participants cover topics that currently represent a strong obstacle to the successful implementation of the energy transition and whose overcoming is essential for achieving climate-neutral development ("transformational challenges"). On the one hand, they address aspects that cannot be well represented in quantitative modeling, such as breaking up existing mobility routines or the influence of individual housing preferences on emissions from the building sector. For these topics, accompanying storylines or qualitative scenarios are developed in the module as part of the participation process. In addition, the findings from the module process are used to validate the assumption sets of the quantitative modeling.


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