Beta This website is in development — content and design are still changing
IAMC

Project

2D4D – Disruptive Digitalization for Decarbonization

Digitalisation will fundamentally change all sectors of the European economy in the next decades. At the same time, the EU is committed to reaching net-zero carbon emissions by 2050. These two transformation will undoubtedly affect each other, but the extent to which they will be mutually supporting is unknown. Most

Digitalisation will fundamentally change all sectors of the European economy in the next decades. At the same time, the EU is committed to reaching net-zero carbon emissions by 2050. These two transformation will undoubtedly affect each other, but the extent to which they will be mutually supporting is unknown. Most importantly, there is a danger of the digital transformation delaying progress towards a net-zero carbon economy. The EU-funded, ERC-Starting, 2D4D project aims to ensure that the digital transformation will be an enabler for decarbonisation. The project will identify and measure the decarbonisation consequences of disruptive digitalisation technologies in three challenging sectors: additive manufacturing in industry, mobility-as-a-service in transportation, and AI in buildings. The project will produce distinctive data to examine the technical and socioeconomic potential of these technologies, enhance decarbonisation narratives and ensure that digital technology supports energy transition.

More projects

POLIZERO project final report

POLIZERO was funded by the Energy-Economy-Society research programme of the Swiss Federal Office of Energy. Led by the Energy Economics Group of the Laboraotry for Energy Systems Analysis at the Paul Scherrer Institute PSI and the Technoeconomics of energy systems laboratory of the University of Piraeus Research Center, it combined stakeholder input, energy modelling

Multiple pathways towards sustainable development goals and climate targets

The study presents three different sustainable development pathways, all of which avoid dangerous climate change and enable substantial progress towards the UN Sustainable Development Goals (SDGs). The scenarios were quantified by four different modelling teams participating in the SHAPE project, comprising two “full-system” integrated assessment models (REMIND-MAgPIE and IMAGE) and