METHOD AND SYSTEM FOR ENERGY MODELLING

• US 20140244057A1
• Filed: 06/14/2012
• Published: 08/28/2014
• Est. Priority Date: 06/17/2011
• Status: Active Grant

• Current Assignee: Centrica Hive Limited (Centrica PLC)
• Original Assignee: Centrica Hive Limited (Centrica PLC)
• Inventors: Hamouz, Miroslav, Coppin, Benjamin Kenneth, Barr, Graham, Chapman, Colin, Hargreaves, Jack Elliot, Palmer, Daniel James
• Granted Patent: US 10,083,491 B2
• Time in Patent Office: Days
• US Class Current: 700/291
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 3/008 involving trading of energy or energy transmission rights
• 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: Y02E 40/70 Smart grids as climate change mitigation technology in the energy generation sector
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
• CPC Class Codes: Y04S 20/30 Smart metering, e.g. specially adapted for remote reading
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid

Abstract

A system to provide feedback for energy saving to a user of a property comprising a plurality of appliances, the system comprising: at least one sensor monitoring energy consumption of one or more appliances within the property; a user interface to provide feedback to the user; and a processor configured to receive input data from an energy bill for the property covering a predetermined period; receive input regional average statistics regarding energy consumption for a set of pre-determined categories of energy usage; generate a model of energy usage within a plurality of categories over the predetermined period by combining the input data, energy consumption data from the at least one sensor and generic statistics regarding energy consumption and output, via the user interface, feedback to the user based on the generated model.

Claims

1. A system to provide feedback for energy saving to a user of a property comprising a plurality of appliances, the system comprising

at least one sensor monitoring energy consumption of one or more appliances within said property;

a user interface to provide feedback to said user and a processor configured to

receive input bill data from an energy bill for said property for a time period;

receive input regional average statistics regarding energy consumption for a set of predetermined categories of energy usage;

generate a model of energy usage for said set of predetermined categories over a predetermined time period by combining said input data, energy consumption data from said at least one sensor and said regional average statistics and

output, via said user interface, feedback to said user based on said generated model.

2. A system according to claim 1, wherein said processor is configured to generate said model by determining a weighting for each predetermined category based on said regional average statistics and by applying said weighting to said input bill data to provide energy consumption data for each category.

3. A system according to claim 1, wherein said weighting takes into account the location of the property and/or the time of year of the predetermined time period.

4. A system according to claim 1 wherein said energy bill covers electricity usage.

5. A system according to claim 4 wherein said set of predetermined categories include one or more of lighting, cooking and appliances

6. A system according to claim 1 wherein said energy bill covers gas usage.

7. A system according to claim 6 wherein said set of predetermined categories include one or more of space heating, water heating and cooking.

8. A system according to claim 1 wherein said processor is configured to receive input energy type data indicating which type of energy is used by each predetermined category and to generate said model of energy usage by combining said input energy type data with said other data.

9. A system according to claim 8 wherein said processor is configured to receive input energy type data indicating that a primary and a secondary energy type is used by a particular predetermined category and to generate a model of energy usage for said particular predetermined category which distributes energy usage between said primary and a secondary energy type.

10. A system according to claim 1 wherein said processor is configured to receive input appliance data detailing the number and types of appliances within the property.

11. A system according to claim 10 wherein said processor is configured to generate a model by generating an appliance energy usage model for each of the appliances identified in the input appliance data, preferably wherein said processor is configured to generate one or more of said appliance energy usage models by estimating the energy consumed by each respective appliance identified in the input appliance data.

13. A system according to claim 11 wherein said at least one sensor monitors energy consumption of one or more of the identified appliances and said processor is configured to modify said appliance energy usage models using the monitored data.

14. A system according to claim 1 wherein said processor is configured to receive input property data detailing information about the property and to generate said model of energy usage by combining said input property data with said other data.

15. A system according to claim 1 wherein said at least one sensor generates an aggregate power series, the aggregate power series comprising aggregate power consumption data for a plurality of power consuming devices and wherein said processor is configured to identify the operation of a power consuming device from an aggregate power series by filtering the aggregate power consumption data to separate the aggregate power consumption data into a fast component and a slow component;

measure an average power of the fast component;

determine periods during which the measured average power is greater than a first threshold; and

compare the determined period with a model defining operational characteristics of a power consuming device to identify the operation of a power consuming device.

16. A system according to claim 15, wherein filtering comprises using a wavelet filter, preferably wherein the wavelet filter is a Haar wavelet filter.

18. A system according to claim 15 wherein said processor is configured to said average power by measuring a right-tail-10% trimmed root-mean-square of the fast component.

19. A system according to claim 15, wherein the operational characteristics of the module comprise one or more of cycle duration, frequency of drum activity and power consumption.

20. A system according to claim 15, wherein the processor is configured to calculate the power consumption of a power consuming device by identifying the operation of the power consuming device and calculate the power consumption using the determined periods during which the measured average power is greater than the threshold, and the measured average power during the determined periods.

12. (canceled)

17. (canceled)

21. A method to provide feedback for energy saving to a user of a property comprising a plurality of appliances, the method comprising

monitoring energy consumption of one or more appliances within said property;

receiving input bill data from an energy bill for said property for a time period;

receiving input regional average statistics regarding energy consumption for a set of predetermined categories of energy usage;

generating a model of energy usage for said set of predetermined categories over a predetermined time period by combining said input data, energy consumption data from said at least one sensor and said regional average statistics and

outputting feedback to said user based on said generated model.

22. A carrier carrying computer code which when implemented on a computer causes said computer to carry out said method of claim 21.