Elflexibel Industri Boosts the Competitiveness of Industry
Elflexibel Industri aims to boost the industry’s competitiveness – Innovatum Science Park is one of the main partners. The electrification of Swedish industry is moving quickly,…
Large-scale energy renovation of buildings is needed to meet climate targets by 2045. Developing digital urban twins can provide the basis for renovation planning and provide good decision support, so that the right prioritization and best actual measures are taken during the renovation.
The project adapts and applies machine learning (ML) and AI in different ways and has the following main areas of deliverables:
The project will provide managers and municipalities with a better digital platform for building management. In the long term, the project will help to increase the pace of renovation and achieve climate goals. The enriched digital twins are also expected to provide benefits beyond renovation planning, for example for the planning of energy production in the municipality.
Here you can watch three videos that describe the results achieved within the project: West Sweden Energy Agency - DecarbonAIte
| Our role | Project leader |
| Project owner | Chalmers Industriteknik Foundation |
| Funded by | VINNOVA Swedish Innovation Agency |
| Chalmers University of Technology, Sofia University, ETH Zurich, Sinom AB, Asymptotic AI AB, City of Helsingborg, EkstaBostads AB (Kungsbacka) and Uddevallahem |