Reduce peak load and network temperatures with our data-driven algorithms
Digitalize your networks, with STORM!
District heating networks suffer from high peak demand leading to inflated operational costs. High supply and return temperatures in the distribution network can cause up to 20% of the heat to be lost. The STORM controller is designed to solve these problems with its advanced data-driven algorithms. It can dynamically control demand and simultaneously reduce network temperatures in real-time. All of this is at no compromise to the quality of service delivered to the end consumers.
- Integrates seamlessly in substations using IoT
- Contains self-learning data-driven algorithms that can scale
- Requires minimal expert intervention enabling autonomous operation
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
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!