System and method for energy consumption management

• US 9,146,548 B2
• Filed: 04/09/2010
• Issued: 09/29/2015
• Est. Priority Date: 04/09/2009
• Status: Expired due to Fees

• Current Assignee: Intelligent Energy Solutions LLC (Berkshire Hathaway Incorporated)
• Original Assignee: Intelligent Energy Solutions LLC (Berkshire Hathaway Incorporated)
• Inventors: Smith, Edward M., Chambers, Gregory L.
• Primary Examiner(s): JARRETT, RYAN A
• Application Number:
  US12/757,494
• Publication Number:
  US 20100262313A1
• Time in Patent Office: 1,999 Days
• Field of Search: 700/295
• US Class Current: 1/1
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• 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

Abstract

An energy management system and method providing a holistic premise energy optimization and energy efficiency reclamation system comprised of an interconnected system of software, analytics and automated process that optimizes the energy generation and storage technologies, energy consumption, energy demand and energy utilization of energy consuming assets within a premise.

Claims

1. An energy management system for efficiently and continuously managing energy consumption and operation performance of a premises, the system comprising:

an energy consumption controller associated with the premises and configured to repeatedly gather current energy consumption data from at least one electrical component associated with the premises; and

a control center communicatively coupled to the energy consumption controller and configured to;

continuously receive the current energy consumption data gathered by the energy consumption controller,

store the received current energy consumption data as historical energy consumption data,

analyze the historical energy consumption data to;

(i) determine performance conditions of the at least one electrical component, and (ii) learn operating patterns of the at least one electrical component,

perform data analysis operations using the current energy consumption data, the performance conditions data and the operating patterns of the least one electrical component, and data not gathered by the energy consumption controller, and

dynamically generate instructions for optimizing energy efficiency, reliability and life expectancy of the at least one electrical component based the data analysis operations,

wherein the data not gathered includes data unrelated to the energy consumption data.

2. The energy management system of claim 1, further comprising a server configured to transmit the instructions to the energy consumption controller.

3. The energy management system of claim 2, wherein the energy consumption controller is further configured to control the at least one electrical component based on the instructions.

4. The energy management system of claim 2, wherein the server is further configured to receive energy consumption rules from a user of the at least one electrical component.

5. The energy management system of claim 4, wherein the control center is further configured to generate the instructions for optimizing energy efficiency, reliability and life expectancy of the at least one electrical component based on the energy consumption rules.

6. The energy management system of claim 1, wherein the at least one electrical component is an appliance.

7. The energy management system of claim 1, wherein the data not gathered by the energy consumption controller is selected from the group consisting of user preferences, energy market conditions, weather conditions, grid infrastructure constraints and regulatory mandates.

8. The energy management system of claim 1, wherein the energy consumption data further includes ambient temperature of the location of the respective electrical component, and occupancy of the room where the respective electrical component is located.

9. The energy management system of claim 1, wherein the control center is further configured to dynamically generate second instructions for controlling another electrical component associated with the premises, the second instructions being based on the data analysis operations using at least the current energy consumption data of the at least one electrical component.

10. The energy management system of claim 9, wherein the second instructions control the other electrical component to store or generate energy.

11. The energy management system of claim 1, wherein the instructions control the at least one electrical component to optimize energy use based on the performance conditions and use of the at least one electrical component.

12. An energy management system for efficiently and continuously managing energy consumption and operational performance at a premises, the system comprising:

a server configured to continuously receive current energy consumption data from an energy consumption controller associated with at least one electrical component associated with the premises; and

a computer coupled to the server and configured to;

store the received current energy consumption data as historical energy consumption data,

analyze the historical energy consumption data to;

(i) determine performance conditions of the at least one electrical component, and (ii) learn operating patterns of the at least one electrical component,

perform data analysis operations using the current energy consumption data, the performance conditions data and the operating patterns of the least one electrical component, and data not from the energy consumption controller, and

dynamically generate instructions for optimizing energy efficiency, reliability and life expectancy of the at least one electrical component based the data analysis operations.

13. The energy management system of claim 12, wherein the server is further configured to transmit the instructions to the energy consumption controller.

14. The energy management system of claim 13, further comprising a data warehouse configured to store the historical energy consumption data and the data not from the at least one energy consumption controller.

15. The energy management system of claim 14, wherein the control center is further configured to analyze the current and historical energy consumption data and the data not from the at least one energy consumption controller, and to generate the instructions for optimizing energy efficiency, reliability and life expectancy of based on the analyzed data so as to optimize energy consumption of the at least one electrical component.

16. The energy management system of claim 12, wherein the data not from the energy consumption controller is selected from the group consisting of user preferences, energy market conditions, weather conditions, grid infrastructure constraints and regulatory mandates.

17. The energy management system of claim 12, wherein the control center is further configured to validate the energy consumption data by at least one of the following criteria:

static limits, single value thresholds, percentage of value change, percentage of difference to related data objects, range of standard deviation, slope rate differential, numeric value threshold, and object maturity.

18. The energy management system of claim 12, wherein the energy consumption data further includes ambient temperature of the location of the respective electrical component, and occupancy of the room where the respective electrical component is located.

19. An energy management method for efficiently and continuously managing energy consumption and operational performance of a premises, the method comprising:

receiving, by a server, current energy consumption data from an energy consumption controller associated with at least one electrical component at the premises;

storing, in a data warehouse, the received current energy consumption data as historical energy consumption data,

analyzing, by a hardware processor, the historical energy consumption data to;

(i) determine performance conditions of the at least one electrical component, and (ii) learn operating patterns of the at least one electrical component,

performing, by the hardware processor, data analysis operations using the current energy consumption data, the performance conditions data and the operating patterns of the least one electrical component, and data not from the at least one energy consumption controller; and

dynamically generating, by the hardware processor, instructions for optimizing energy efficiency, reliability and life expectancy of the at least one electrical component based on the data analysis operations.

20. The energy management method of claim 19, further comprising transmitting, by the server, the instructions to the energy consumption controller.

21. The energy management method of claim 19, further comprising storing, in the data warehouse, the historical energy consumption data and the data not from the energy consumption controller.

22. The energy management method of claim 21, further comprising:

analyzing, by the hardware processor, the current and historical energy consumption data and the data not from the at least one energy consumption controller; and

generating, by the hardware processor, the instructions for optimizing energy efficiency, reliability and life expectancy of based on the analyzed data so as to optimize energy consumption of the at least one electrical component.

23. The energy management method of claim 22, further comprising correlating, by the hardware processor, the analyzed data with other data from the premise so as to optimize overall energy consumption at the premises.

24. The energy management method of claim 19, wherein the energy consumption data further includes ambient temperature of the location of the respective electrical component, and occupancy of the room where the respective electrical component is located.