The lack of the overall understanding of the impact of energy-efficient investments has made it difficult for policymakers to integrate it into their policymaking process. There is a need to gather evidence on the benefit of energy efficiency in ecological and socio-economic terms. These are the challenges that project EERAdata will address over the next three years with the help of academics and experts throughout Europe. This project has received funding from the European Union’s Horizon 2020.

Project partners will work with several municipalities to identify old building stock that can be upgraded to be more energy efficient. The project encourages local authorities to not rule out the renovation of old building stock – thus transforming regions and municipalities towards a sustainable and energy-efficient future. Partners will work with 2 pilot local authorities City of Copenhagen in Denmark and the Municipality of Velenje in Slovenia to create a decision-making tool that will identify older building stock that could be upgraded to be more energy efficient.

The team behind EERAdata will access the technical and socio-economical information across the relevant sector to develop the appropriate methodology and data analysis framework to plan and compare investment and impact in Energy Efficient Buildings.

This data and information will then be used to create a user-friendly tool that will enable policymakers to plan and prioritise EE Investment.

Basic data about the project:

Programme: Horizon 2020

Project acronym: EERAdata

Project full name: Data-driven decision-support to increase energy efficiency through renovation in European building stock

Project start: 1. 7. 2019

Project duration: 30 months

Project budget: 1.489.031,63 € (KSSENA budget: 105.070,00 €)

Lead partner: Technische Universität München (TUM)

Partership: 9 partners from 7 european countries


 Projekt je financiran s strani okvirnega programa Obzorje 2020 za Raziskave in Inovacije Evropske Unije na podlagi dogovora o podpori št. 847101.