Posted on Monday, September 17, 2018 by Steen Schelle Jensen
Analytics you can act on
For example, if a building’s forward temperature is lower than expected according to the Heat Intelligence model, the issue could be a defect service pipe or poor pipe insulation. If higher, it could be caused by a leakage or bypass. Whatever the reason, knowing the actual state of the network is the prerequisite for being able to act on it and reduce your heat loss.
Heat Intelligence allows you to replace theory and gut feelings with data directly from your network.
Secondly, it provides a very high accuracy and statistical significance because the calculation model behind it is based on thousands upon thousands of measurements from smart meters – every single day. This adds the seasonal and historical perspective to reveal developments and trends over time, which is lacking with e.g. airborne thermography.
Finally, because the tool analyses measurements from all end points in the distribution network based on specific knowledge about its pipes, utilities can create virtual meters that can calculate temperature and flow anywhere in their network – even where there is no heat meter installed. This provides full transparency down to individual pipe sections.
Real-time decisions require real-time data
Do you want to know more about data analytics?
Learn more about our analytics tool, Heat Intelligence, right here.