NIALM for Smart Buildings LoReMA Load Recognition Monitoring and - PowerPoint PPT Presentation

NIALM for Smart Buildings LoReMA Load Recognition Monitoring and Acting 1st International Workshop on Non-Intrusive Load Monitoring Carnegie Mellon University, Pittsburgh, PA May 7th, 2012 Stephan Tomek Head of Energy Efficiency Applications iHomeLab Research Center Lucerne University, Switzerland

Agenda • iHomeLab • LoReMA – Data acquisition – Data analysis – Data transmission • Learnings / Outlook iHomeLab, Switzerland 7th May 2012 2

Intelligent living begins here! iHomeLab, Switzerland 7th May 2012 3

Research Areas „The Building as a System“ Building Intelligence Energy Efficiency Ambient Assisted Living Human Building Interaction Ambient Awareness & Intelligence, Sensornetworks, Contentmanagement iHomeLab, Switzerland 7th May 2012 4

The iHomeLab Research Team 18 Engineers • Software and firmware development • Embedded system and PCB design • Simulation and modeling • Fast prototyping and testing Domain knowledge - Low power wireless sensor networks - Networking and routing mechanisms - Sensor fusion and context processing - Building intelligence and machine learning - Building automation iHomeLab, Switzerland 7th May 2012 5

LoReMA: Research project Requirements • Identify all appliances in households and offices using NIALM for load-disaggregation and increase of energy efficiency • Decentralized wireless measurement nodes • Actuating of appliances from the node • Low power design • Retrofit and zero installation Goals • Proof of the technical concept • Increase transparency of energy usage • Development of energy efficiency strategy • Increase energy efficiency iHomeLab, Switzerland 7th May 2012 6

LoReMA: System overview iHomeLab, Switzerland 7th May 2012 7

Measurement concept • Standard components for the measurement unit • Active power / Reactive power / I RMS and Individual waveform samples on chip • Sampling rate of 3.2 kHz, 64 measurement at 50 Hz • Data Set: active power, reactive power, RMS value of the current and a FFT calculation of: I1, I3, I5, I7, I9, I11 Energiemesschip DSP Spannungsmessung (Energiemessung) (Netzspannung) ADC Energiemess- Strommessung Analoge MCU werte (Shunt Widerstand) Eingangssignale (Vorverarbeitung, FFT) (P, Q, I1-I11) iHomeLab, Switzerland 7th May 2012 8

Measurement range iHomeLab, Switzerland 7th May 2012 9

Runtime behavior 1. Load change triggers (P, Q) 2. Wait for steady state 3. Waveform sampling 4. FFT analysis 5. Data set transfer to the central unit for post processing iHomeLab, Switzerland 7th May 2012 10

Data set comparison with best matching algorithm 96 96 95 95 100 84 90 80 70 60 42 50 40 32 25 30 20 8 7 10 3 3 2 2 2 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 P P, Q P, Q, Irms P, Q, P, Q, P, Q, Samples Harmonische Harmonische normiert Lasterkennung richtig Lasterkennung falsch Höchste Wahrscheinlichkeit richtig Höchste Wahrscheinlichkeit falsch Last unbekannt iHomeLab, Switzerland 7th May 2012 11

Best matching algorithm with switched power supplies 36 34 40 33 31 31 35 30 24 25 22 19 20 17 14 14 13 15 6 8 10 3 5 2 2 1 1 1 0 0 0 0 0 0 0 0 0 0 0 P P, Q P, Q, Irms P, Q, P, Q, P, Q, Samples Harmonische Harmonische normiert Lasterkennung richtig Lasterkennung falsch Höchste Wahrscheinlichkeit richtig Höchste Wahrscheinlichkeit falsch Last unbekannt iHomeLab, Switzerland 7th May 2012 12

Robustness of algorithms when injecting noise according EN50160 29 25 25 30 25 15 20 13 13 14 15 8 8 10 7 7 6 5 4 4 4 4 3 3 5 2 2 2 1 0 0 0 0 0 0 0 0 P P, Q P, Q, Irms P, Q, P, Q, P, Q, Samples Harmonische Harmonische normiert Lasterkennung richtig Lasterkennung falsch Höchste Wahrscheinlichkeit richtig Höchste Wahrscheinlichkeit falsch Last unbekannt iHomeLab, Switzerland 7th May 2012 13

ZigBee Network ZigBee Profile: Smart Energy Profile (SEP) Network topology: Mesh-Network Smart Energy Devices: - Metering Device - Load-Control Device - Energy Service Portal (ESP) Coordinator (ESP) as Cluster Head - Network configuration - Channel selection - Assignment of the node ID’s (short address) iHomeLab, Switzerland 7th May 2012 14

Miniaturization 4.5*5*3 [cm] 3. LoReMA Steering Committee Meeting 7th May 2012 15

End-user information, Load-Disaggregation iHomeLab, Switzerland 7th May 2012 16

End-user information, Energy efficiency tips iHomeLab, Switzerland 7th May 2012 17

End-user information, on the SmartPhone iHomeLab, Switzerland 7th May 2012 18

Lessons learned • The various NIALM algorithms have their strengths and weaknesses • Choosing the correct algorithm depends on the application • NIALM combined with ambient information can lead to 100 % identification of the appliances • There is no standard data set definition for energy fingerprints available • Norming bodies didn’t picked up NIALM until now iHomeLab, Switzerland 7th May 2012 19

Conclusion / Outlook • We don’t have a technology issue with NIALM • The issues are missing standards and norms which will make it hard for NIALM products to reach the public • NIALM offers new business and can become a gold mine for system developers, the danger is proprietary standards • The IEA is interested to explore NIALM in more details in order to understand the necessary next steps required iHomeLab, Switzerland 7th May 2012 20

NIALM can bring transparency to the end-users and increase energy efficiency with out big investment. iHomeLab, Switzerland 7th May 2012 21

Thank you for your attention Contact: Stephan Tomek info@iHomeLab.ch www.iHomeLab.ch EuZDC – Munich 7th May 2012 22 22/16