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smart energy essentially comprises

  • data driven energy supply/usage
    • coupling sectors
    • allowing negotiated transactions between market participants
    • using predictive control
  • optimising thermodynamics, increasing efficiency by adapting
    • thermodynamic processes
    • temperature levels
  • increasing usage of renewable energy and waste heat through improved planning quality for energy systems
    • introducing modelling at the planning phase using real world data
    • exploiting virtual storage
    • adapting demand


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Project Lead
image/svg+xml E nergie +U mwelt Consulting effiziente.ST
Project Partners:
AICO SoftwareCleopa GmbHSalzburg Universtity of Applied ScienceSEnerConWellness Telecom Western Norway Research Institute
Funding Program:
This ERA-NET RegSys project co-financed within the EU H2020 programme and the research, technology and innovation funding programme of the Republic of Austria, Ministry for Climate Action. The Austrian Research Promotion Agency (FFG) has been authorised for the programme management on behalf of the Austrian partners.