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STORM tackles energy efficiency at district level. It aims to demonstrate that, thanks to a smart District Heating & Cooling (DHC) networks’ controller, energy savings can reach up to 30%. In that perspective, the project partners will develop a controller based on self-learning algorithms, that will maximise the use of waste heat and renewable energy sources in DHC networks. It will be implemented in two pilot sites, at Mijnwater BV in Heerlen (NL) and Växjö Energi in Rottne (SE) in order to assess the resulting energetic, economic and environmental benefits. Through replication, dissemination and education efforts, the project outcomes will be transferred to several stakeholders across the EU, and will thus contribute to a wider deployment of intelligent DHC networks at the EU level. 

 

Status

Closed project

Period

-

The STORM project wants to boost energy efficiency at district level through the use of waste heat, renewable energy sources and storage systems. It has many objectives to ensure the success:

  • Building on state of the art technical developments and advanced business models
    • Starting from control algorithms suited for both existing and new 4th generation DHC networks

    • Using market-based multi-agent systems combined with reinforcement learning

    • Applying self-learning and self-adaptive control, combining recent developments in model-based multi-agent systems and model-free control

    • Creating an add-on to many existing DHC network controllers and SCADA systems

  • Developing an innovative controller for district heating & cooling (DHC) networks
    • Balancing supply and demand in a cluster of heat/cold producers and consumers
    • Integrating multiple efficient generation sources (renewable energy sources, waste heat and storage systems)
    • Including three control strategies in the controller (peak shaving, market interaction, and cell balancing). Depending on the network, one or more of these strategies can be activated.
  • Demonstrating the benefits of smart control systems

  • Quantifying the energetic, economic and environmental benefits of the controller

  • Developing innovative business models needed for the large-scale roll-out of the controller at reduced cost

    • Investigating exploitation possibilities to facilitate the platform market uptake

    • Distributing the value amongst the different market players (producers, transporters, consumers of energy) by applying the control strategies in the controller
    • Taking into account different market set-ups to replicate in other countries than the ones of the demonstrators
  • Designing a scalable and performing self-learning control approach requiring limited external experts
  • Increasing awareness on the need to control DHC networks in a smart way

EnergyVille's Contribution

EnergyVille is the project coordinator of the H2020 STORM project and is responsible for the coordination, research and implementation activities carried out on the intelligent district heating and cooling controller. EnergyVille will develop this controller in close cooperation with NODA from Sweden, a Scandinavian company and leader in intelligent energy systems. The network controller will be evaluated in different seasons and implemented in 2 demo sites.

Johan Desmedt

Contact

Johan Desmedt

Project Manager Energy Technology at EnergyVille/VITO