Household energy management sytem

• US 8,600,562 B2
• Filed: 07/26/2010
• Issued: 12/03/2013
• Est. Priority Date: 11/27/2003
• Status: Active Grant

• Current Assignee: Centrica Hive Limited (Centrica PLC)
• Original Assignee: AlertMe.com Ltd. (Centrica PLC)
• Inventors: Oswald, James Ian
• Primary Examiner(s): Gami, Tejal
• Application Number:
  US12/843,756
• Publication Number:
  US 20110035060A1
• Time in Patent Office: 1,226 Days
• Field of Search: 700/278, 700/276, 700/277, 700/291, 700/295, 700/300, 700/29, 621/27, 340/662, 705/412
• US Class Current: 700/278
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house

Abstract

A household energy management system uses measurements of the household electricity supply to identify and to determine the energy consumption of individual household appliances. From these measurements, models can be built of the behavior of the occupants of the house, the thermal properties of the house and the efficiency of the appliances. Using the models, the household appliances—in particular heating and cooling appliances—can be controlled to optimize energy efficiency; and maintenance programs for the appliances and for the house itself can be recommended to the householder or arranged with a service company.

Claims

1. A method of energy management for controlling heating or cooling in a building, comprising:

using at least one centrally located energy-consumption sensor;

using a measuring means to measure overall energy consumption in a building using at least one centrally-located energy consumption sensor;

storing in a baseline data store baseline energy consumption measurements gathered by said measuring means;

storing in a current-consumption data store current energy consumption measurements which occur;

using a modelling means having predictive capability;

to mathematically model a predicted pattern of behavior of occupants of the building over time; and

using a controller to control the operation of heating or cooling in response to the model of predicted pattern of behavior, said baseline energy consumption measurements of said baseline data store, and said current energy consumption measurements of said current consumption data store;

wherein the method of energy management comprises the steps of;

storing the baseline energy consumption measurements in the baseline data store;

storing the current energy consumption measurements in the current-consumption data store;

predicting occupant behavior, said predicting comprising automatically generation a mathematical model of a predicted pattern of behavior of occupants of the building over time by comparing the baseline energy consumption measurements of the baseline data store with the current energy consumption measurements of the current-consumption data store to form a model of appliance utilization by the occupants, wherein said behavior modelling predicts exercise activity level of the building occupants to form the model; and

utilizing said controller to automatically control at least the operation of heating or cooling according to the predicted exercise activity level of the model of the predicted pattern of behavior the occupants;

the method further comprising using an adaptor to sense a start-up characteristics of an appliance and to provide location information indicating where the appliance is within the building, the method comprising comparing a said sensed start-up characteristic with reference characteristics to determine a type of the appliance.

2. Method of energy management for controlling heating or cooling in a building of claim 1 wherein said at least one centrally-located sensor comprises one electricity sensor.

3. Method of energy management for controlling heating or cooling in a building of claim 1 wherein said building comprises a single-family dwelling.

4. Method of energy management for controlling heating or cooling in a building of claim 1 wherein the baseline data store comprises a computer database and the current energy consumption data store comprises a computer database.

5. Method of energy management for controlling heating or cooling in a building of claim 1 wherein said modelling means further comprises a time tracking means dividing time into one or more time periods.

6. Method of energy management for controlling heating or cooling in a building of claim 5 wherein said time periods comprise hours of the day and days of the week.

7. Method of energy management for controlling heating or cooling in a building of claim 6 wherein said model of appliance utilization comprises data store of appliances expected to be operating during each time period.

8. Method of energy management for controlling heating or cooling in a building of claim 1 wherein the model predicts time periods during which premises are occupied.

9. Method of energy management for controlling heating or cooling in a building of claim 1 wherein the model predicts the location of occupants within the premises.

10. Method of energy management for controlling heating or cooling in a building of claim 1 wherein the model predicts time periods during which occupants of the premises are static.

11. Method of energy management for controlling heating or cooling in a building of claim 1 wherein the system identifies individual appliances being used by the occupants.

12. Method of energy management for controlling heating or cooling in a building of claim 1 wherein, wherein the predicted model is refined in response to new measurements by the sensor.