Better district energy starts with understanding demand

District heating and cooling systems have to balance production, network capacity, weather, customer demand, and operating costs. Better data makes it easier to see what is happening across that system and where action will have the biggest effect.

We work with data from meters, substations, buildings, weather stations, and production systems. That data can be used to forecast demand, detect faults, improve planning, and actively control demand when the system is under pressure.

This can reduce peak loads and expensive production, but it also improves everyday operation. The same foundation gives operators better information and better input for decisions about production, network capacity, and future investments.

Challenges
  • Managing peak demand without adding unnecessary production capacity
  • Detecting faults before they affect efficiency or customers
  • Forecasting demand under changing weather and operating conditions
  • Turning distributed meter and substation data into operational insight
  • Connecting planning decisions with what is actually happening in the network
Opportunities
  • Reduce peak loads and expensive production
  • Forecast heat and cooling demand more accurately
  • Detect abnormal behaviour earlier
  • Use buildings and substations as active parts of system operation
  • Build better data for production and investment planning
Have a challenge in mind?
Tell us what you're looking to achieve, and we can explore how and where we can help.