1. Improved heat metering – DH substation control using sensor fusion networks Prof. Jerker Delsing Y. Jomni, K. Yliniemi and Dr. J. van Deventer EISLAB Luleå University of Technology Sweden

2. Vision  Sensors on Internet High accuracy sensor technology Sensor talks TCP/IP Minimal size < 1 cm 3 Power life time > 2 year Wireless ad-hoc networking Roughed packaging Ad-hoc application integration Secure < 1 cm 3

3. Sensor networks

4. Sensor use of a locally available data

5. System optimization based on local sensor fusion Sensor fusion System optimization

6. Mulle – EIS platform Minimal ultra-light little EIS < 4cm 2, 22x25x10 mm, including power Full EIS sensor network functionality TCP/IP Ad-hoc wireless networking Security  Temperature sensor

7. District heat substation traditional Flow Heat exchanger with control valve Tr Tap hot water Space heating Heat system controler Tvv Tu Ti Tf Heat meter

8. District heat substation with sensor network system Flow Heat exchanger with control valve Tr Tap hot water Space heating Heatmeter & system controler Tvv Tu Ti Tf

9. Enable use of more advanced heat metering algorithms  Adaptive heat meter algorithm  Feed forward heat meter algorithm

11. Estimation of hot water flow  Space heating and hot water flow have different time scales

12. Error in hot water flow estimation

13. Estimation of tap warm water

14. System optimization from using sensor fusion networks  Heat metering Clearly improved measurement accuracy  Estimation of tap hot water flow Accuracy ~2%  Estimation of tap hot water energy Accuracy ~2% Use of additional temperature improve accuracy ~1%

15. District heat substation with sensor network system Flow Heat exchanger with control valve Tr Tap hot water Space heating Heatmeter & system controler Tvv Tu Ti Tf Internet

16. Network of DH substations DH-substation Internet DH-substation

17. System optimization from using sensor fusion networks  Sub station optimization Maximize  T Reduced forward temperature  Total system energy efficiency optimization

18. New customer communication - services  Usage patterns Heat Tap hot water  Customer system optimization, examples Indication of lowered environmental impact - i.e. CO 2 Remote optimization of control loops for reduced energy cost

19. Conclusions  Sensor fusion networks enables Clearly improved heat metering Additional data can be generated - hot water usage System optimization enabled Customer communication enabled

20. http://www.csee.ltu.se/eislabfo