NIALM for Smart Buildings LoReMA Load Recognition Monitoring and Acting

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1 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

2 Agenda ihomelab LoReMA Data acquisition Data analysis Data transmission Learnings / Outlook 7th May

3 Intelligent living begins here. 7th May

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

5 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 7th May

6 LoReMA: Research project Requirements Identify all appliances of households and offices using NIALM for load-disaggregation 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 7th May

7 LoReMA: System overview 7th May

8 Measurement concept Commodity components from Analog Devices has been chosen Active power / Reactive power / I RMS and Individual waveform samples sampling rate of 3.2 khz 64 measurement samples on a energy network frequency of 50 Hz active power, the reactive power, the individual waveform samples and the RMS value of the current. Calculation of the FFT values for: I1, I3, I5, I7, I9, I11 Energiemesschip Spannungsmessung (Netzspannung) Strommessung (Shunt Widerstand) Analoge Eingangssignale ADC DSP (Energiemessung) MCU (Vorverarbeitung, FFT) Energiemesswerte (P, Q, I1-I11) 7th May

9 Measurement range 7th May

10 Runtime behaivor 1.Trigger on load change (P, Q) 2.Wait for steady state (skip variable state loads) 3.Sampling 4.FFT analysis 5.Data set transfer to the central unit for post processing 7th May

11 Best matching algorithm with 15 different household appliances P P, Q P, Q, Irms P, Q, Harmonische P, Q, Harmonische normiert P, Q, Samples Lasterkennung richtig Höchste Wahrscheinlichkeit richtig Last unbekannt Lasterkennung falsch Höchste Wahrscheinlichkeit falsch 7th May

12 Best matching algorithm with switched power supplies P P, Q P, Q, Irms P, Q, Harmonische Lasterkennung richtig Höchste Wahrscheinlichkeit richtig Last unbekannt P, Q, Harmonische normiert Lasterkennung falsch Höchste Wahrscheinlichkeit falsch P, Q, Samples 7th May

13 Measurement with injected noise according EN P P, Q P, Q, Irms P, Q, Harmonische P, Q, Harmonische normiert P, Q, Samples Lasterkennung richtig Höchste Wahrscheinlichkeit richtig Last unbekannt Lasterkennung falsch Höchste Wahrscheinlichkeit falsch 7th May

14 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) 7th May

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

16 End User Information, Load Disaggregation 7th May

17 End User Information Energy Efficiency Tips 7th May

18 End user information with iphone 7th May

19 Learnings NIALM ist noch nicht ein Product issue, Es ist ein Grundlagen Issue. Standard / Metric / Database / Communication Alle darauf aufbauenden Businessmodelle sind nicht neu und gibt es bereits. 7th May

20 Conclusion / Outlook Energy consumption visualization offers an average potential of 5 to15% energy savings in modern homes and offices Consumers need to see and understand the electricity being used by different appliances Consumers want to develop their own strategy to increase the energy efficiency The hourly metering values for offices and households entire electricity con not register the effects of small brief changes Non - Intrusive Appliance Load Monitoring is the enabling technology used to get the energy consumption information required 7th May

21 Thank you for your attention Contact: Stephan Tomek 7th May EuZDC Munich 21/16

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