ENERGY BUDGET MANAGER

• US 20070203860A1
• Filed: 02/24/2006
• Published: 08/30/2007
• Est. Priority Date: 02/24/2006
• Status: Abandoned Application

• Current Assignee: Gridpoint (Twenty First Century Utilities LLC)
• Original Assignee: Gridpoint (Twenty First Century Utilities LLC)
• Inventors: Golden, Brian, McMahan, Courtney
• Application Number:
  US11/276,337
• Publication Number:
  US 20070203860A1
• Time in Patent Office: Days
• US Class Current: 705/412
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 11/58 using Internet communication
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 13/00004 characterised by the power network being locally controlled
• CPC Class Codes: H02J 13/00028 involving the use of Internet protocols
• CPC Class Codes: H02J 2310/12 The local stationary network supplying a household or a building
• CPC Class Codes: H02J 2310/14 The load or loads being home appliances
• CPC Class Codes: H02J 2310/60 Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: Y02A 30/00 Adapting or protecting infrastructure or their operation
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/242 Home appliances
• CPC Class Codes: Y04S 20/244 the home appliances being or involving heating ventilating and air conditioning [HVAC] units

Abstract

A method of monitoring energy consumption includes steps of establishing an energy budget for a future time period, receiving device information for a plurality of electrical devices and associating the device information with the energy budget, periodically measuring electrical usage from the plurality of electrical devices, projecting future energy consumption for the future time period based on the measured electrical usage, comparing the projected future energy consumption to the energy budget, and if the projected future energy consumption deviates from the energy budget, automatically generating an alert. The projected future energy consumption can take into account various factors such as energy available from non-grid sources; weather forecasts; battery storage; and historical data. A system employing the method can automatically control devices to bring predicted consumption within the budget.

Claims

1. A computer-assisted method of managing energy consumption, comprising the steps of:

(1) establishing an energy budget for a future time period;

(2) receiving device information for a plurality of electrical devices and associating the device information with the energy budget;

(3) periodically measuring electrical usage from the plurality of electrical devices;

(4) projecting future energy consumption for the future time period based on the measured electrical usage periodically measured in step (3);

(5) comparing the projected future energy consumption to the energy budget; and

(6) if the projected future energy consumption deviates from the energy budget, automatically generating an alert.

2. The method of claim 1, wherein the electrical devices are located in a building and the projected future energy consumption and the energy budget relate only to the electrical devices located in the building.

3. The method of claim 1, further comprising the step of repeating steps (3) and (4) over the future time period and adjusting the projected future energy consumption based on the measurements in step (3).

4. The method of claim 3, wherein step (4) comprises the step of taking into account a weather forecast corresponding to the geographic location of the electrical devices.

5. The method of claim 3, wherein step (4) comprises the step of estimating local energy production available from non-grid sources at the geographic location of the electrical devices.

6. The method of claim 3, wherein step (4) comprises the step of projecting future energy costs for peak and off-peak electricity periods.

7. The method of claim 2, further comprising the step of establishing a baseline estimate of future energy consumption associated with the building based on historical data.

8. The method of claim 1, further comprising the step of generating a recommendation for reducing energy consumption by reducing demand associated with one or more of the plurality of electrical devices.

9. The method of claim 1, further comprising the step of, in response to step (6), automatically transmitting a command to one or more of the electrical devices to automatically adjust energy consumption.

10. The method of claim 9, wherein the automatically transmitted command reduces a temperature setting of a thermostat.

11. The method of claim 1, wherein step (4) comprises the step of taking into account a mode setting that inhibits reductions in energy consumption for certain modes.

12. The method of claim 1, wherein step (4) comprises the step of taking into account energy storage capacity available to power one or more of the plurality of electrical devices.

13. The method of claim 1, further comprising the steps of receiving registration information from a user associated with the plurality of electrical devices and, in response to step (6), transmitting the alert to a user-defined location.

14. The method of claim 1, further comprising the step of receiving sensor configuration information that associates a sensor used for measuring in step (4) to one of the plurality of electrical devices.

15. The method of claim 1, further comprising the step of receiving user-defined mode settings that constrain an energy-saving mode of one or more of the electrical devices and, in response to step (6), constraining the energy-saving mode.

16. The method of claim 1, further comprising the step of displaying at a network-accessible location updated electrical consumption information associated with the plurality of electrical devices.

17. The method of claim 1, wherein steps (2), (4), (5), and (6) are performed at a location remote from a building at which the electrical devices are located, and wherein the measurements in step (3) are transmitted from the building to the remote location over a network.

18. The method of claim 1, wherein steps (1) through (6) are all performed a building location at which the electrical devices are located.

19. The method of claim 1, further comprising the step of calculating the energy budget as a dollar value.

20. A computer having a memory programmed with computer-executable instructions that, when executed by the computer, perform the steps of:

(1) establishing an energy budget for a future time period;

(2) receiving device information for a plurality of electrical devices and associating the device information with the energy budget;

(3) periodically receiving measured electrical usage from the plurality of electrical devices;

(4) projecting future energy consumption for the future time period based on the measured electrical usage periodically measured in step (3);

(5) comparing the projected future energy consumption to the energy budget; and

(6) if the projected future energy consumption deviates from the energy budget, automatically generating an alert.

21. The computer of claim 20, wherein the electrical devices are located in a building and the projected future energy consumption and the energy budget relate only to the electrical devices located in the building.

22. The computer of claim 20, wherein the computer-executable instructions further perform the step of repeating steps (3) and (4) over the future time period and adjusting the projected future energy consumption based on the measurements in step (3).

23. The computer of claim 22, wherein step (4) comprises the step of taking into account a weather forecast corresponding to the geographic location of the electrical devices.

24. The computer of claim 22, wherein step (4) comprises the step of estimating local energy production available from non-grid sources at the geographic location of the electrical devices.

25. The computer of claim 22, wherein step (4) comprises the step of projecting future energy costs for peak and off-peak electricity periods.

26. The computer of claim 21, wherein the computer-executable instructions further comprise the step of establishing a baseline estimate of future energy consumption associated with the building based on historical data.

27. The computer of claim 20, wherein the computer-executable instructions further comprise the step of generating a recommendation for reducing energy consumption by reducing demand associated with one or more of the plurality of electrical devices.

28. The computer of claim 20, wherein the computer-executable instructions further comprise the step of, in response to step (6), automatically transmitting a command to one or more of the electrical devices to automatically adjust energy consumption.

29. The computer of claim 28, wherein the automatically generated command reduces a temperature setting of a thermostat.

30. The computer of claim 20, wherein step (4) comprises the step of taking into account a mode setting that inhibits reductions in energy consumption for certain modes.

31. The computer of claim 20, wherein step (4) comprises the step of taking into account energy storage capacity available to power one or more of the plurality of electrical devices.

32. The computer of claim 20, wherein the computer-executable instructions further comprise the steps of receiving registration information from a user associated with the plurality of electrical devices and, in response to step (6), transmitting the alert to a user-defined location.

33. The computer of claim 20, wherein the computer-executable instructions further comprise the step of receiving sensor configuration information that associates a sensor used for measuring in step (4) to one of the plurality of electrical devices.

34. The computer of claim 20, wherein the computer-executable instructions further comprise the step of receiving user-defined mode settings that constrain an energy-saving mode of one or more of the electrical devices and, in response to step (6), constraining the energy-saving mode.

35. The computer of claim 20, wherein the computer-executable instructions further comprise the step of displaying on a network-accessible page updated electrical consumption information associated with the plurality of electrical devices.

36. The computer of claim 20, wherein steps (2), (4), (5), and (6) are performed at a location remote from a building at which the electrical devices are located, and wherein the measurements in step (3) are transmitted from the building to the remote location over a network.

37. The computer of claim 20, wherein steps (1) through (6) are all performed a building location at which the electrical devices are located.