ENERGY MANAGEMENT SYSTEM

• US 20090307573A1
• 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:
  US12/479,100
• Publication Number:
  US 20090307573A1
• Time in Patent Office: Days
• US Class Current: 715/205
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 11/52 Indication arrangements, e.g. displays
• CPC Class Codes: F24F 2140/60 Energy consumption

Abstract

An energy management system and a computer-implemented method of managing energy consumption are disclosed. The computer-implemented method may include receiving one or more input signals which represent the real-time energy consumption of a facility, evaluating data obtained from the one or more input signals according to a set of energy operating rules, and generating output signals which cause a user to be alerted to the energy consumption of the facility. In some embodiments, evaluating data obtained from the one or more input signals according to a set of energy operating rules may include comparing the obtained data to predetermined or adaptive ranges or thresholds. The ranges or thresholds may be based upon at least one of an operational schedule of the facility, physical characteristics of the facility, energy-sensitive variables, customer-imposed targets, and energy supplier demand reduction requests. The system and method may detect anomalous energy use and send an alert message to a user or a browser-enabled user device.

Claims

1. A computer-implemented method of managing the energy consumption of a facility, the method comprising:

receiving one or more input signals which represent the real-time energy consumption of a facility;

evaluating data obtained from the one or more input signals according to a set of energy operating rules; and

generating output signals which cause a user to be alerted to the energy consumption of the facility.

2. The method of claim 1, wherein the one or more input signals which represent the real-time energy consumption of the facility are received at least every fifteen minutes.

3. The method of claim 1, wherein the one or more input signals which represent the real-time energy consumption of the facility are received at least every one minute.

4. The method of claim 1, wherein the one or more input signals which represent the real-time energy consumption of the facility comprise energy meter interval operating data.

5. The method of claim 1, wherein the one or more input signals which represent the real-time energy consumption of a facility comprise heating, ventilation, and air conditioning (HVAC) equipment status data.

6. The method of claim 1, wherein the one or more input signals which represent the real-time energy consumption of a facility further comprise local weather conditions data.

7. The method of claim 1, wherein evaluating data obtained from the one or more input signals according to a set of energy operating rules comprises comparing the obtained data to predetermined ranges or thresholds.

8. The method of claim 7, wherein the predetermined ranges or thresholds are based upon at least one of an operational schedule of the facility, physical characteristics of the facility, energy-sensitive variables, customer-imposed targets, and energy supplier demand reduction requests.

9. The method of claim 1, further comprising storing data obtained from the one or more input signals to provide a database of historic energy consumption data.

10. The method of claim 9, wherein evaluating data obtained from the one or more input signals according to a set of energy operating rules comprises comparing the obtained data to adaptive ranges or thresholds, the adaptive ranges or thresholds being based at least in part upon the stored historic energy consumption data.

11. The method of claim 10, wherein the adaptive ranges or thresholds are also based upon at least one of an operational schedule of the facility, physical characteristics of the facility, energy-sensitive variables, customer-imposed targets, and energy supplier demand reduction requests.

12. The method of claim 1, wherein generating output signals which cause a user to be alerted to the energy consumption of the facility comprises generating output signals which cause a graphical representation of the real-time energy consumption of the facility over a rolling period of time to be displayed to a user.

13. The method of claim 12, wherein the graphical representation of the real-time energy consumption of the facility comprises one or more graphs showing energy consumption and local temperature as a function of time over a plurality of days.

14. The method of claim 1, wherein:

evaluating data obtained from the one or more input signals according to a set of energy operating rules comprises detecting anomalous energy use; and

generating output signals which cause a user to be alerted to the energy consumption of the facility comprises sending an alert message to a user containing a description of the anomalous energy use.

15. The method of claim 14, wherein the alert message further comprises a hyperlink which the user may select to display a graphical representation of the real-time energy consumption of the facility.

16. 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 one or more input signals which represent the real-time energy consumption of a facility;

evaluating data obtained from the one or more input signals according to a set of energy operating rules; and

generating output signals which cause a user to be alerted to the energy consumption of the facility.

17. The computer-readable medium of claim 16, wherein the one or more input signals which represent the real-time energy consumption of the facility are received at least every fifteen minutes.

18. The computer-readable medium of claim 16, wherein the one or more input signals which represent the real-time energy consumption of the facility are received at least every one minute.

19. The computer-readable medium of claim 16, wherein the one or more input signals which represent the real-time energy consumption of the facility comprise energy meter interval operating data.

20. The computer-readable medium of claim 16, wherein the one or more input signals which represent the real-time energy consumption of a facility comprise heating, ventilation, and air conditioning (HVAC) equipment status data.

21. The computer-readable medium of claim 16, wherein the one or more input signals which represent the real-time energy consumption of a facility further comprise local weather conditions data.

22. The computer-readable medium of claim 16, wherein evaluating data obtained from the one or more input signals according to a set of energy operating rules comprises comparing the obtained data to predetermined ranges or thresholds.

23. The computer-readable medium of claim 22, wherein the predetermined ranges or thresholds are based upon at least one of an operational schedule of the facility, physical characteristics of the facility, energy-sensitive variables, customer-imposed targets, and energy supplier demand reduction requests.

24. The computer-readable medium of claim 16, further comprising instructions executable by the processor to perform the process step of storing data obtained from the one or more input signals to provide a database of historic energy consumption data.

25. The computer-readable medium of claim 24, wherein evaluating data obtained from the one or more input signals according to a set of energy operating rules comprises comparing the obtained data to adaptive ranges or thresholds, the adaptive ranges or thresholds being based at least in part upon the stored historic energy consumption data.

26. The computer-readable medium of claim 25, wherein the adaptive ranges or thresholds are also based upon at least one of an operational schedule of the facility, physical characteristics of the facility, energy-sensitive variables, customer-imposed targets, and energy supplier demand reduction requests.

27. The computer-readable medium of claim 16, wherein generating output signals which cause a user to be alerted to the energy consumption of the facility comprises generating output signals which cause a graphical representation of the real-time energy consumption of the facility over a rolling period of time to be displayed to a user.

28. The computer-readable medium of claim 27, wherein the graphical representation of the real-time energy consumption of the facility comprises one or more graphs showing energy consumption and local temperature as a function of time over a plurality of days.

29. The computer-readable medium of claim 16, wherein:

evaluating data obtained from the one or more input signals according to a set of energy operating rules comprises detecting anomalous energy use; and

generating output signals which cause a user to be alerted to the energy consumption of the facility comprises sending an alert message to a user containing a description of the anomalous energy use.

30. The computer-readable medium of claim 29, wherein the alert message further comprises a hyperlink which the user may select to display a graphical representation of the real-time energy consumption of the facility.

31. An energy management system, the system comprising:

one or more sources which generate input signals based upon the real-time energy consumption of a facility;

a browser-enabled user device; and

a server which is configured to;

(i) receive the input signals from the one or more sources, (ii) evaluate data obtained from the input signals according to a set of energy operating rules, and (iii) generate output signals which cause information regarding the energy consumption of the facility to be transmitted to the user device.

32. The energy management system of claim 31, wherein at least one of the sources generates an input signal at least every fifteen minutes.

33. The energy management system of claim 31, wherein at least one of the sources generates an input signal at least every one minute.

34. The energy management system of claim 31, wherein at least one of the sources comprises a utility meter or shadow meter which continuously measures the power consumption of a facility.

35. The energy management system of claim 31, wherein at least one of the sources comprises a sensor or utility sub-meter which continuously measures the status of a unit of heating, ventilation, and air conditioning (HVAC) equipment.

36. The energy management system of claim 31, further comprising a data source which generates input signals based upon local weather conditions.

37. The energy management system of claim 31, wherein the server is configured to compare the obtained data to predetermined ranges or thresholds.

38. The energy management system of claim 37, wherein the predetermined ranges or thresholds are based upon at least one of an operational schedule of the facility, physical characteristics of the facility, energy-sensitive variables, customer-imposed targets, and energy supplier demand reduction requests.

39. The energy management system of claim 31, wherein the server is further configured to store data obtained from the input signals to provide a database of historic energy consumption data.

40. The energy management system of claim 39, wherein the server is configured to compare the obtained data to adaptive ranges or thresholds, the adaptive ranges or thresholds being based at least in part upon the stored historic energy consumption data.

41. The energy management system of claim 40, wherein the adaptive ranges or thresholds are also based upon at least one of an operational schedule of the facility, physical characteristics of the facility, energy-sensitive variables, customer-imposed targets, and energy supplier demand reduction requests.

42. The energy management system of claim 31, wherein the server is configured to generate output signals which cause a graphical representation of the real-time energy consumption of the facility over a rolling period of time to be displayed on the browser-enabled user device.

43. The energy management system of claim 42, wherein the graphical representation of the real-time energy consumption of the facility comprises one or more graphs showing energy consumption and local temperature as a function of time over a plurality of days.

44. The method of claim 31, wherein the server is configured to detect anomalous energy use and transmit an alert message to the browser-enabled user device containing a description of the anomalous energy use.

45. The method of claim 44, wherein the alert message further comprises a hyperlink which the user may select to display a graphical representation of the real-time energy consumption of the facility on the browser-enabled user device.

46. The energy management system of claim 31, wherein the browser-enabled user device comprises a personal computer, remote from the server.

47. The energy management system of claim 31, wherein the browser-enabled user device comprises a wireless device.