ENERGY CONSUMPTION DISAGGREGATION SYSTEM

• US 20130066479A1
• Filed: 09/14/2011
• Published: 03/14/2013
• Est. Priority Date: 09/14/2011
• Status: Active Grant

• Current Assignee: Innovation Asset Collective
• Original Assignee: Honeywell International Inc.
• Inventors: Shetty, Pradeep, Foslien, Wendy, Curtner, Keith, Mangsuli, Purnaprajna R., Kolavennu, Soumitri
• Granted Patent: US 8,983,670 B2
• Time in Patent Office: Days
• US Class Current: 700/295
• CPC Class Codes: G01D 2204/14 Displaying of utility usage with respect to time, e.g. for monitoring evolution of usage or with respect to weather conditions
• CPC Class Codes: G01D 2204/24 Identification of individual loads, e.g. by analysing current/voltage waveforms
• CPC Class Codes: G01D 4/002 Remote reading of utility meters
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y04S 20/30 Smart metering, e.g. specially adapted for remote reading

Abstract

A system for disaggregating a gross energy measurement into individual component energy consumption. A collection of components may be situated in a facility. A sensor may obtain electrical signals from one or more power input lines which convey power to the facility for the components. The signals may indicate the total energy consumption by the collection of components. Approaches and/or mechanisms may be used to disaggregate the indication of total energy consumption into indications of individual energy consumption by the components without the need for separately determining the individual energy consumption with additional measurements or instrumentation. Also, approaches and/or mechanisms may be used for integrating a known load activity with whole facility energy consumption for enhancing the component disaggregation. Indications of individual energy consumption permit a reasonable evaluation of components from efficiency, conservation and/or other perspectives.

Claims

1. A disaggregation system comprising:

a power sensor unit;

a data acquisition mechanism connected to the power sensor unit;

a microcontroller unit connected to the data acquisition mechanism; and

wherein;

the data acquisition mechanism provides energy information to the microcontroller unit; and

the microcontroller unit provides disaggregated energy information.

2. The system of claim 1, wherein:

the power sensor unit comprises;

a voltage sensor connected to the filter unit; and

a current sensor connected to the filter unit;

the voltage and current sensors are connected to one or more power lines which provide power to a facility having components that consume energy; and

the voltage and current sensors provide voltage and current signals representing voltage and current on the one or more power lines.

3. The system of claim 2, wherein:

the energy information to the microcontroller indicates a gross amount of energy consumed by the facility;

voltage and current signals from the one or more power lines to the power sensor indicate the gross amount of energy consumed by the facility; and

disaggregated energy information indicates individual amounts of energy consumed by the components, respectively, of the facility.

4. The system of claim 3, wherein the individual amounts of energy consumed by the components may be adjusted for purposes of conserving energy.

5. The system of claim 3, wherein:

the voltage and current signals indicate the energy information which goes from the power sensor to the data acquisition mechanism;

the signals are processed by the data acquisition mechanism and go to the microcontroller unit; and

signals from the data acquisition mechanism are processed by the microcontroller unit with a time-frequency analysis.

6. The system of claim 5, wherein the state of a HVAC, pool pump, pool heater, smart appliances, and/or other components are considered reduced from whole facility energy to enhance load disaggregation.

7. The system of claim 5, wherein:

the time-frequency analysis comprises a wavelet transform down select of select coefficients and feature analysis; and

the down select of select coefficients and feature analysis provide the disaggregated energy information.

8. The system of claim 7, further comprising:

a zero crossing detector connected to the microcontroller unit; and

wherein the microcontroller unit comprises a digital signal processor.

9. The system of claim 8, further comprising:

one or more items from a group consisting of an internet having a connection to the microcontroller unit, a server having a connection to the internet, a hand-held personal digital assistant having a connection to the microcontroller unit, feedback from a thermostat for the facility having a connection to the microcontroller unit, feedback from one or more components of the facility having a connection to the microcontroller unit, a remote display having a connection to the microcontroller unit, and an outside air sensor having a connection to the microcontroller unit; and

wherein a connection is wireless or wired.

10. The system of claim 2, wherein:

samples of current and voltage from the current and voltage sensors are analyzed for detection of an event;

the event is provided a classification if detected;

a decision support system in conjunction with the classification is implemented for down selecting individual loads; and

the individual loads are for determining disaggregated information.

11. A method for determining energy consumption by each of two or more electrical loads connected to a power line by load disaggregation, comprising:

obtaining signals from a power line connected to the two or more electrical loads;

processing the signals into information for event detection;

detecting an event; and

performing analysis of the event to obtain a disaggregation of a total energy consumption to determine energy consumption by each of the two or more loads connected to the power line.

12. The method of claim 11, wherein processing the signals into information for event detection, comprises:

performing extraction of one or more features from the signals; and

detecting an event from the one or more features.

13. The method of claim 12, wherein performing analysis of the event to obtain disaggregation of a total energy consumption to determine energy consumption by each of the two or more loads connected to the power line, comprises:

performing a load analysis of the event to determine at least one possible load;

performing a signature analysis of the signals to identify a type of load; and

determining if the type of load is inductive, SMPS or resistive; and

wherein;

if the load is inductive, then combine prior inductive load information with results of the load and/or signature analysis, and disaggregate the load;

if the load is SMPS, then combine prior SMPS load information with results of the load and/or signature analysis, and disaggregate the load;

if the load is resistive, then combine prior inductive load information with results of the load and/or signature analysis, and disaggregate the load;

or

if the load is not inductive, SMPS or resistive, then perform an overall likely load analysis.

14. The method of claim 11, wherein processing the signals into information for event detection, comprises:

decomposing the signals using a wavelet transform;

retaining appropriate wavelet coefficients at scales needed for a load disaggregation application;

detecting discontinuities in each of the scales;

detecting a switching of a load; and

detecting an event.

15. The method of claim 14, wherein performing analysis of the event to obtain disaggregation of a total energy consumption to determine energy consumption by each of the two or more loads connected to the power line, comprises:

performing a load analysis of the event to determine at least one possible load;

performing a signature analysis of the signals to identify a type of load; and

determining if the type of load is inductive, SMPS or resistive; and

wherein;

if the load is inductive, then combine prior inductive load information with results of the load and/or signature analysis, and disaggregate the load;

if the load is SMPS, then combine prior SMPS load information with results of the load and/or signature analysis, and disaggregate the load;

if the load is resistive, then combine prior inductive load information with results of the load and/or signature analysis, and disaggregate the load;

or

if the load is not inductive, SMPS or resistive, then perform an overall likely load analysis.

16. An approach for load disaggregation comprising:

obtaining samples of voltage and current from one or more power lines to a facility having a plurality of electrical loads connected to the one or more power lines;

pre-processing the samples of voltage and current; and

analyzing the samples of voltage and current for detection of an event; and

wherein the event comprises information about one or more of the plurality of electrical loads.

17. The approach of claim 16, further comprising performing time frequency analysis if an event is detected.

18. The approach of claim 16 further comprising:

performing a wavelet transform down select coefficients; and

performing feature analysis.

19. The approach of claim 18, further comprising extracting the information from the feature analysis about the one or more of the plurality of electrical loads.

20. The approach of claim 17, further comprising reviewing time-frequency analysis to determine the energy usage by each of the plurality of electrical loads.