.jpg)
Challenge
Erdwärme Grünwald supplies thousands of households in the Munich community of Grünwald and Unterhaching with heating energy from a local geothermal source. The properties are equipped with intelligent house connection stations that are connected to a central Network Information System (NIS) via a wired network. The existing NIS is insufficiently scalable and provides little to no historical data for the connected systems.
Solution
- Development of a new NIS that includes all the functions of the old system and is more scalable, based on the concept of the digital twin
- By collecting and storing data, future energy consumption as well as failures can be quickly detected and the system can be further optimized
Benefit
- AI-based forecast of the district heating energy required and thus to be pumped leads to cost savings for both Erdwärme Grünwald and its customers
- System optimization using advanced analytics methods leads to cost savings in energy and maintenance
- Simpler administration of the house connection stations by means of a control station
- Fast detection and correction of failures
- Digital twin enables end consumers to use new services (e.g., day-based display of heating energy consumption or heating control) via an app
AI from msg – Made in Europe
With artificial intelligence, we want to drive forward the use of AI in organisations faster and more successfully. What sets us apart: Forward-looking consulting services and products to enable value creation through data.