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

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

Sensor networks

Sensor use of a locally available data

System optimization based on local sensor fusion Sensor fusion System optimization

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

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

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

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

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

Error in hot water flow estimation

Estimation of tap warm water

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%

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

Network of DH substations DH-substation Internet DH-substation

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

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

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