SYSTEMS AND METHODS TO ASSESS AND OPTIMIZE ENERGY USAGE FOR A FACILITY

• US 20120323382A1
• Filed: 06/14/2012
• Published: 12/20/2012
• Est. Priority Date: 06/15/2011
• Status: Abandoned Application

• Current Assignee: Expanergy, LLC
• Original Assignee: Expanergy, LLC
• Inventors: Kamel, Michel Roger, Hanna, Ganatios Y., Donahue, Paul W.
• Application Number:
  US13/523,719
• Publication Number:
  US 20120323382A1
• Time in Patent Office: Days
• US Class Current: 700/286
• CPC Class Codes: G01D 21/00 Measuring or testing not otherwise provided for
• CPC Class Codes: G01D 2204/12 Determination or prediction of behaviour, e.g. likely power consumption or unusual usage patterns
• CPC Class Codes: G01R 21/133 by using digital technique
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/06 Energy or water supply
• 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: Y02P 90/82 Energy audits or management systems therefor
• CPC Class Codes: Y02P 90/84 Greenhouse gas [GHG] management systems
• CPC Class Codes: Y02P 90/845 Inventory and reporting systems for greenhouse gases [GHG]
• CPC Class Codes: Y04S 20/30 Smart metering, e.g. specially adapted for remote reading

Abstract

A system for assessing energy usage reads read at least one computer-aided design (CAD) file relating to the architecture of a facility and extracts information from the CAD file for use in determining static energy characteristics corresponding to the architecture of the facility, acquires information for use in determining dynamic energy characteristics of the facility, and calculates a predicted energy usage of the facility based at least in part on the static and dynamic energy characteristics. The system further acquires data from at least one sensor configured to measure actual energy usage of the facility in real-time and calculates the actual energy usage of the facility. When the actual energy usage exceeds the predicted energy usage, the system transmits an alert to a user and determines corrective measures to reduce energy usage.

Claims

1. A method to assess energy usage of a facility, comprising:

electronically receiving static energy data associated with time independent information that relates to the architecture of a facility;

electronically receiving dynamic energy data associated with time dependent information that relates to energy usage of the facility;

electronically receiving sensor data from at least one sensor configured to measure the energy usage of the facility; and

calculating, via execution of instructions by computer hardware including one or more computer processors, energy assessment data and energy guidance data for the facility based at least in part on the static energy data, the dynamic energy data, and the sensor data.

2. The method of claim 1 further comprising electronically communicating the static energy data to an energy management system for the facility.

3. The method of claim 1 further comprising electronically communicating the energy assessment and energy guidance data to a computer aided design module.

4. The method of claim 3 further comprising displaying on a graphical user interface associated with the computer aided design module the energy assessment data and energy guidance data such that the energy assessment data and energy guidance data is visualized by the computer aided design module.

5. The method of claim 1 further comprising electronically communicating the energy assessment and energy guidance data to a building information database for use in energy management of the facility.

6. The method of claim 1 further comprising electronically communicating an alert based at least in part on the static energy data, the dynamic energy data, and the sensor data.

7. The method of claim 1 wherein the electronically receiving the static energy data, electronically receiving the dynamic energy data, electronically receiving the sensor data, and calculating are electronically performed through the Internet and wherein commands to control the subsystems are electronically communicated to the facility through the Internet.

8. The method of claim 1 wherein the method is performed under control of a cloud computing environment including one or more servers and one or more data storage.

9. The method of claim 8 wherein the cloud computing environment comprises entrusts energy management services with a user'"'"'s static energy, dynamic energy and sensor data, energy management software and energy metric computation over a network.

10. The method of claim 1 wherein the static energy data is extracted from a computer aided design (CAD) file.

11. A method to assess energy usage of a facility, comprising:

electronically receiving static energy data associated with time independent information that relates to the architecture of a facility;

electronically receiving dynamic energy data associated with time dependent information that relates to energy usage of the facility;

electronically receiving sensor data from at least one sensor configured to measure the energy usage of the facility; and

controlling, via execution of instructions by computer hardware including one or more computer processors, subsystems associated with the energy usage of the facility based at least in part on the static energy data, the dynamic energy data, and the sensor data.

12. The method of claim 11 further comprising electronically calculating the energy usage of the facility based at least in part on the static energy data, the dynamic energy data, and the sensor data to provide commands to control the subsystems.

13. The method of claim 11 wherein the electronically receiving the static energy data, electronically receiving the dynamic energy data, electronically receiving the sensor data, and controlling are electronically performed through the Internet.

14. The method of claim 13 wherein the method is performed under control of a cloud computing environment including one or more servers and one or more data storage.

15. The method of claim 14 wherein the cloud computing environment comprises entrusts energy management services with a user'"'"'s static energy, dynamic energy and sensor data, energy management software and energy metric computation over a network.

16. The method of claim 13 further comprising electronically aggregating and electronically controlling energy demand response across multiple facilities based at least in part on the static energy data, the dynamic energy data, and the sensor data of each facility.

17. The method of claim 13 further comprising electronically aggregating and electronically controlling power purchase across multiple facilities based at least in part on the static energy data, the dynamic energy data, and the sensor data of each facility.

18. The method of claim 13 further comprising electronically providing energy services to the facility based at least in part on the static energy data, the dynamic energy data, and the sensor data.

19. The method of claim 11 further comprising:

electronically calculating a predicted energy usage of the facility based at least in part on the static energy data and the dynamic energy data;

electronically calculating the actual energy usage of the facility based at least in part on the sensor data;

electronically comparing the predicted energy usage and the actual energy usage; and

communicating, via execution of instructions by computer hardware including one or more computer processors, an alert to a user when the actual energy usage exceeds the predicted energy usage by an amount.

20. The method of claim 11 wherein the static energy data is extracted from a computer aided design (CAD) file.

21. A method to optimize facility design and energy management, comprising:

electronically generating design-based mechanical and electrical drawings and layouts for the construction of a facility based at least in part on energy specifications;

generating computer aided models of the facility based at least in part on the design-based mechanical and electrical drawings and layouts;

electronically managing commissioning of the facility based at least in part on the energy specifications, the design-based mechanical and electrical drawings and layouts; and

continuously managing and controlling, via execution of instructions by computer hardware including one or more computer processors, energy subsystems within the facility for energy usage based at least in part on the energy specifications, the design-based mechanical and electrical drawings and layouts, and sensor data form at least one sensor configured to measure energy usage of the facility.

22. The method of claim 21 further comprising electronically acquiring design specifications and the energy specifications for the facility, the energy specifications including at least one of an energy performance, an energy rating, an energy consumption profile, a peak demand, a load profile, and a load factor.

23. The method of claim 21 further comprising electronically simulating structural, electrical, and thermal loads of the facility based at least in part on the energy specifications, the design-based mechanical and electrical drawings and layouts, and the computer aided models.

24. The method of claim 23 further comprising electronically managing construction of the facility based at least in part on the energy specifications, the design-based mechanical and electrical drawings and layouts, the computer aided models, and the simulated structural, electrical, and thermal loads.

25. The method of claim 24 further comprising continuously electronically optimizing and continuously electronically verifying the commissioning based at least in part on the energy specifications, the design-based mechanical and electrical drawings and layouts, and sensor data from at least one sensor configured to measure energy usage of the facility.

26. The method of claim 21 further comprising:

electronically calculating a predicted energy usage of the facility based at least in part on static energy data and dynamic energy data, the static energy data including the energy specifications and the design-based mechanical and electrical drawings and layouts;

electronically calculating the actual energy usage of the facility based at least in part on the sensor data;

electronically comparing the predicted energy usage and the actual energy usage; and

communicating, via execution of instructions by computer hardware including one or more computer processors, an alert to a user when the actual energy usage exceeds the predicted energy usage by an amount.

27. The method of claim 21 wherein the electronically receiving the static energy data, electronically receiving the dynamic energy data, electronically receiving the sensor data, and calculating are electronically performed through the Internet and wherein commands to control the subsystems are electronically communicated to the facility through the Internet.

28. The method of claim 21 wherein the method is performed under control of a cloud computing environment including one or more servers and one or more data storage.

29. The method of claim 28 wherein the cloud computing environment comprises entrusts energy management services with a user'"'"'s energy specifications, design-based mechanical and electrical drawings and layouts, and sensor data form at least one sensor configured to measure energy usage of the facility.

30. The method of claim 21 wherein the energy specifications are extracted from a computer aided design (CAD) file.