District Heating Analytics

District heating analytics can help you to improve the efficiency of your distribution network, and ultimately lower your energy costs and your carbon footprint.

By linking frequent smart heat meter data with facts about the district heating network, you will be able to:

  • Identify heat loss in the network. 
  • Increase transparency in your distribution network as to temperature, flow and pressure.
  • Improve the network performance and provide documentation.
District heating analytics is an essential tool for any district heating utility looking to reduce CO 2 while saving time and resources.
 

Heat Intelligence

When you know what happens under ground…

You will unlock true smart district heating where you be able to

  • Locate your heat loss
  • Document your quality of delivery
  • Monitor your load and capacity
  • Identify what stresses your network

Get in touch for a discussion about how Heat Intelligence can analyze your data and create transparency in your distribution network.

Make it Your District

  • Locate your heat loss
  • Document your quality of delivery
  • Monitor your load and capacity
  • Identify what stresses your network

Current network status

You are now able to see exactly how heat moves through your distribution network all the way to the end users. This means that you can document precisely what you have delivered at all times. You are also able to evaluate your temperature optimisation based on a visualisation of dynamically calculated facts rather than on a static model.

Go from rookie to Heat Intelligence master in no time

 
Heat Intelligence unlocks the distribution grid black box. Our services are here to help you get the most out of the insights it provides. We offer a range of training and onboarding services that you get up to speed quickly and enable you to find areas of interest with potential leakages, bypasses, abnormal consumption patterns, high return temperatures or to start using data as the foundation for your maintenance plans.