heating return temperature of 6.2°C and 6.7°C was realized. Further, the power (magenta line) generally shows fewer and lower peaks during the adaptive control periods. Based on tests in six buildings, the realized flow-weighted re- turn temperature reduction is, on average, around 2°C for the adaptive return temperature limiter and around 4°C for the adaptive power limiter annually. This is a significant decrease in the district heating return temperature for the service of DHW. Regarding peak power reduction, a 25-30% reduction is real- ized based on 30 min average values. Conclusion The energy transition is high on the agenda, and it’s great to see how district energy is a key enabler and a fundamental part of the future smart and sector-coupled energy system. Digitalization and AI-based tools are a precondition for district energy systems’ efficient, cost-optimal, and resilient operation.
utilization of green resources, avoidance of fossil-based peak load boilers, and better utilization of the existing distribution infrastructure. The example of optimizing the DHW tank charging resulted in a reduced return temperature of 2-4°C and 25-30% peak pow- er reduction, leading to distribution heat loss savings, better utilization of the energy source and is often a precondition for reducing the supply temperature or increase of the distribu- tion capacity. The presented cases are two of many underlining that we are continuously developing new and improving existing prod- ucts and offerings at Danfoss. We believe digitalization and AI- based end-to-end control solutions are the keys to unlocking the grid’s full potential and realizing District Energy 4.0.
For further information please contact: Jan Eric Thorsen, jet@Danfoss.com
The Copenhagen Flexumers case showed an average capaci- ty reduction of 14% during peak load hours, leading to better
Figure 5. Comparing district heating return-temperature during adaptive control and reference control periods
Figure 6 Comparing district heating return temperature and power peaks during adaptive and reference control periods
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