Autonomous control and optimization for district heating networks powered by AI

Digitalize your networks, with STORM!

  • Integrates seamlessly in substations using IoT
  • Contains self-learning data-driven algorithms that can scale
  • Requires minimal expert intervention enabling autonomous operation  

Find our why you should integrate STORM into your software or district heating network

How it all began

Horizon 2020 research project leads to market-ready product: the STORM District Energy Controller

STORM District Energy Controller builds on scientific research carried out by VITO/EnergyVille, conducted in the Horizon 2020 project ‘STORM – Self-organizing Thermal Operational Resource Management“. The project ran from March 2015 to March 2019. The DHC controller was tested in demo sites in the Netherlands and Sweden. Read more


Intelligent algorithms add significant value to the heat network in Paris-Saclay

The STORM District Energy Controller that uses advanced Artificial Intelligence (AI) based algorithms was deployed on the district heating network in Paris-Saclay in November 2021.

Crossbreed and VITO/EnergyVille sign letter of intent for cooperation on STORM District Energy Controller

Runa acquires STORM for Chinese district heating market

VITO and NODA bring their industry-leading technology for smart control of district heating networks to the Chinese market in collaboration with Runa, a leading heating equipment manufacturer in China. 

HeatriCity in AI4Cities

VITO/Energyville was chosen as a supplier of its smart control technology for district heating networks, for the AI4Cities project.

Ennatuurlijk, making smart use of district heating networks

The fact that we cannot go on heating our homes and businesses using fossil fuels forever is no secret.

Intelligent controller for district heating and cooling networks unlocks energy efficiency potential

The STORM project has successfully developed an innovative district heating and cooling network controller based on self-learning algorithms and artificial intelligence, 
which was deployed and tested in two demonstration sites.

Flatten the curve and shift the energy demand with FLEXharvester/STORM District Energy Controller

Not only the extent of the energy consumption, but also the moment of consumption affects the energy bill and the greenhouse gas emissions of large customers.

Digital heat and lower energy bills

We all want a lower energy bill. And we all prefer green energy instead of fossil fuels. That’s where digital heat comes in. Because as much of 60% of our energy is heat. And district heating networks is a technology that has been around for decades. Can we make them smarter? In fact, we can! By applying AI and using the assets that are already there: the thermal mass of buildings. Watch Erik’s pitch and find out what we do!

Our pilot partners


Erik De Schutter

Business Developer