ENERGY INFORMATION MANAGEMENT SYSTEM

• US 20090307034A1
• Filed: 06/05/2009
• Published: 12/10/2009
• Est. Priority Date: 06/06/2008
• Status: Abandoned Application

• Current Assignee: Enthenergy LLC
• Original Assignee: Enthenergy LLC
• Inventors: Duff, John M., Lavelle, Michael R.
• Application Number:
  US12/479,077
• Publication Number:
  US 20090307034A1
• Time in Patent Office: Days
• US Class Current: 705/7
• 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 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

An energy information management system and a computer-implemented method of managing energy information are disclosed. The computer-implemented method may include receiving energy use data based upon the energy consumption of one or more facilities, associating the energy use data with one or more facility types based upon characteristics of the one or more facilities to which the energy use data is related, and storing the energy use data in a database. Each facility type may be determined based upon at least one of an owner, location, size, age, use, operating schedule, lighting, water use, and heating, ventilation, and air conditioning equipment of the facility to which the energy use data is related. The energy information management system may include one or more sources of energy use data which generate data signals, a server, and a browser-enabled user device.

Claims

1. A computer-implemented method of managing energy information, the method comprising:

receiving energy use data based upon the energy consumption of one or more facilities;

associating the energy use data with one or more facility types based upon characteristics of the one or more facilities to which the energy use data is related; and

storing the energy use data in a database.

2. The method of claim 1, wherein receiving energy use data comprises receiving utility company information which represents the energy consumption of a facility over approximately monthly periods.

3. The method of claim 1, wherein receiving energy use data comprises receiving signals from a utility meter or shadow meter which periodically measures and records an interval value of the energy consumption of a facility.

4. The method of claim 1, wherein each facility type is determined based upon at least one of an owner, location, size, age, use, operating schedule, lighting, water use, and heating, ventilation, and air conditioning equipment of the facility to which the energy use data is related.

5. The method of claim 1, further comprising validating the energy use data by comparing values of the energy use data to one or more expected ranges, wherein the expected ranges are based upon at least one of (i) a facility type associated with the energy use data and (ii) previously stored energy use data in the database.

6. The method of claim 1, further comprising analyzing the energy use data by grouping energy use data associated with a particular facility type or associated with multiple facility types which share a common characteristic.

7. The method of claim 1, further comprising analyzing the energy use data by comparing a selected portion of energy use data related to a particular facility to a base year of energy use data related to the particular facility.

8. The method of claim 7, wherein the selected portion of energy use data includes at least the most recent month of energy use data.

9. The method of claim 8, wherein the selected portion of energy use data is the most recent twelve months of energy use data and the base year of energy use data is the twelve months of energy use data immediately preceding the most recent twelve months of energy use data.

10. The method of claim 8, wherein analyzing the energy use data comprises comparing an energy consumption cost of the selected portion of energy use data to an energy consumption cost of the base year of energy use data.

11. The method of claim 7, wherein analyzing the energy use data further comprises applying a linear regression model which uses one or more energy-sensitive variables to at least one of the selected portion of energy use data and the base year of energy use data.

12. The method of claim 11, wherein the one or more energy-sensitive variables comprise weather conditions, occupancy, production level, or a combination thereof.

13. The method of claim 1, further comprising:

analyzing the energy use data to determine the need for an energy use reduction for a particular facility; and

sending an alert message to a user if the energy use reduction is needed.

14. The method of claim 1, further comprising generating signals which cause either a portion of the energy use data or information representing an analysis of the energy use data to be displayed to a user.

15. A computer-readable medium embodying a program of instructions executable by a processor to perform process steps for managing energy information, said process steps comprising:

receiving energy use data based upon the energy consumption of one or more facilities;

associating the energy use data with one or more facility types based upon characteristics of the one or more facilities to which the energy use data is related; and

storing the energy use data in a database.

16. The computer-readable medium of claim 15, wherein receiving energy use data comprises receiving utility company information which represents the energy consumption of a facility over approximately monthly periods.

17. The computer-readable medium of claim 15, wherein receiving energy use data comprises receiving signals from a utility meter or shadow meter which periodically measures and records an interval value of the energy consumption of a facility.

18. The computer-readable medium of claim 15, wherein each facility type is determined based upon at least one of an owner, location, size, age, use, operating schedule, lighting, water use, and heating, ventilation, and air conditioning equipment of the facility to which the energy use data is related.

19. The computer-readable medium of claim 15, further comprising instructions executable by a processor to perform the process step of validating the energy use data by comparing values of the energy use data to one or more expected ranges, wherein the expected ranges are based upon at least one of (i) a facility type associated with the energy use data and (ii) previously stored energy use data in the database.

20. The computer-readable medium of claim 15, further comprising instructions executable by a processor to perform the process step of analyzing the energy use data by grouping energy use data associated with a particular facility type or associated with multiple facility types which share a common characteristic.

21. The computer-readable medium of claim 15, further comprising instructions executable by a processor to perform the process step of analyzing the energy use data by comparing a selected portion of energy use data related to a particular facility to a base year of energy use data related to the particular facility.

22. The computer-readable medium of claim 21, wherein the selected portion of energy use data includes at least the most recent month of energy use data.

23. The computer-readable medium of claim 22, wherein the selected portion of energy use data is the most recent twelve months of energy use data and the base year of energy use data is the twelve months of energy use data immediately preceding the most recent twelve months of energy use data.

24. The computer-readable medium of claim 22, wherein analyzing the energy use data comprises comparing an energy consumption cost of the selected portion of energy use data to an energy consumption cost of the base year of energy use data.

25. The computer-readable medium of claim 21, wherein analyzing the energy use data further comprises applying a linear regression model which uses one or more energy-sensitive variables to at least one of the selected portion of energy use data and the base year of energy use data.

26. The computer-readable medium of claim 25, wherein the one or more energy-sensitive variables comprise weather conditions, occupancy, production level, or a combination thereof.

27. The computer-readable medium of claim 15, further comprising instructions executable by a processor to perform the process steps of:

analyzing the energy use data to determine the need for an energy use reduction for a particular facility; and

sending an alert message to a user if the energy use reduction is needed.

28. The computer-readable medium of claim 15, further comprising instructions executable by a processor to perform the process step of generating signals which cause either a portion of the energy use data or information representing an analysis of the energy use data to be displayed to a user.

29. An energy information management system, the system comprising:

one or more sources of energy use data which generate data signals based upon the energy consumption of one or more facilities; and

a server which is configured to;

(i) receive the data signals from the one or more sources of energy use data, (ii) derive energy use data from the data signals, (iii) associate the energy use data with one or more facility types based upon characteristics of the one or more facilities to which the energy use data is related; and

(iv) store the energy use data in a database.

30. The energy information management system of claim 29, wherein at least one of the sources of energy use data comprises a utility company network which allows access to information regarding the energy consumption of a facility over approximately monthly periods.

31. The energy information management system of claim 29, wherein at least one of the sources of energy use data comprises a utility meter or shadow meter which periodically measures and records an interval value of the energy consumption of a facility.

32. The energy information management system of claim 29, wherein the server determines which one or more facility types to associate with the energy data based upon at least one of an owner, location, size, age, use, operating schedule, lighting, water use, and heating, ventilation, and air conditioning equipment of the facility to which the energy use data is related.

33. The energy information management system of claim 29, wherein the server is further configured to validate the energy use data by comparing values of the energy use data to one or more expected ranges, wherein the expected ranges are based upon at least one of (i) a facility type associated with the energy use data and (ii) previously stored energy use data in the database.

34. The energy information management system of claim 29, wherein the server is further configured to analyze the energy use data by grouping energy use data associated with a particular facility type or associated with multiple facility types which share a common characteristic.

35. The energy information management system of claim 29, wherein the server is further configured to analyze the energy use data by comparing a selected portion of energy use data related to a particular facility to a base year of energy use data related to the particular facility.

36. The energy information management system of claim 35, wherein the selected portion of energy use data includes at least the most recent month of energy use data.

37. The energy information management system of claim 36, wherein the selected portion of energy use data is the most recent twelve months of energy use data and the base year of energy use data is the twelve months of energy use data immediately preceding the most recent twelve months of energy use data.

38. The energy information management system of claim 36, wherein the server is configured to compare an energy consumption cost of the selected portion of energy use data to an energy consumption cost of the base year of energy use data.

39. The energy information management system of claim 35, wherein the server is further configured to apply a linear regression model which uses one or more energy-sensitive variables to at least one of the selected portion of energy use data and the base year of energy use data.

40. The energy information management system of claim 39, wherein the one or more energy-sensitive variables comprise weather conditions, occupancy, production level, or a combination thereof.

41. The energy information management system of claim 29, further comprising a browser-enabled user device.

42. The energy information management system of claim 41, wherein the server is further configured to generate output signals which cause either a portion of the energy use data or information representing an analysis of the energy use data to be displayed on the browser-enabled user device.

43. The energy information management system of claim 41, wherein the server is further configured to:

analyze the energy use data to determine the need for an energy use reduction for a particular facility; and

send an alert message to the browser-enabled user device if the energy use reduction is needed.

44. The energy information management system of claim 41, wherein the browser-enabled user device is a wireless device.