System and method for energy management

• US 6,785,592 B1
• Filed: 07/13/2000
• Issued: 08/31/2004
• Est. Priority Date: 07/16/1999
• Status: Expired due to Term

• Current Assignee: NTT Data Services Corporation
• Original Assignee: Perot Systems Corporation (Dell Technologies Inc.)
• Inventors: Smith, Edward M., Golden, Patrick T., Sewell, David R.
• Primary Examiner(s): Picard, Leo
• Assistant Examiner(s): JARRETT, RYAN A
• Application Number:
  US09/615,413
• Time in Patent Office: 1,510 Days
• Field of Search: 700/286, 700/291, 705/412
• 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: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid

Abstract

A business methodology for optimizing energy procurement energy demand (usage) and energy supply for a facility or complex. After ascertaining a baseline model, energy consumption is monitored and adjusted to reflect dynamic economic factors of operations. With the accumulation of data, contract negotiations with energy suppliers may provide further energy savings. Over time and patterns of usage determined further savings and optimization in energy, equipment, staffing and other operational areas are obtained. Remote access provides efficient monitoring of established systems.

Claims

1. A method of facilitating energy consumption optimization, the method comprising the steps of:

establishing a plurality of clients, each client being associated with at least one facility, on an energy control system;

receiving, at the energy control system, of gross consumption data and equipment-specific consumption data of the at least one facility;

determining, at the energy control system, a baseline for energy consumption from the gross consumption data, the equipment-specific consumption data, previous utility bills, and neural nets, wherein the baseline is formed from monitoring existing usage of energy;

performing, at the energy control system, predictive modeling using the baseline and the gross consumption data and the equipment-specific consumption data, wherein the predictive modeling is used to rationalize energy-related opportunities for the at least one facility and create control algorithms to prevent excessive energy usage during high rate times;

negotiating, at the energy control system, energy supply agreements and discounts with at least one energy provider of at least one energy resource based on the baseline and the predictive modeling;

performing an optimization analysis based on the baseline, the gross consumption data, and the equipment-specific consumption data;

identifying at least one of an anomaly and an opportunity for cost-savings;

optimizing, via remote control, of energy consumption of a plurality of building systems; and

wherein at least one setting of at least one of the plurality of building systems is adjusted based on at least one of a result of the step of identifying and a result of the step of performing the optimization analysis.

2. The method of claim 1, wherein the energy resource comprises at least one of electricity, natural gas, coal, and steam.

3. The method of claim 1, wherein the step of optimizing turning off at least one of the plurality of building systems.

4. The method of claim 1, wherein the step of optimizing reducing energy consumption of at least one of the plurality of building systems.

5. The method of claim 1, wherein the plurality of building systems comprises at least one of lighting, heating, and cooling systems.

6. The method of claim 1, wherein the step of optimizing comprises providing recommendations relative to at least one of initiatives and actions for improvement.

7. The method of claim 1, wherein the step of optimizing is performed in real-time.

8. An article of manufacture for causing at least one processor to generate information for optimizing energy consumption, the article of manufacture comprising:

a computer readable medium;

a plurality of instructions stored on the computer readable medium, the plurality of instructions configured to cause the at least one processor to perform the steps of;

establishing a plurality of clients, each client being associated with at least one facility, on an energy control system;

receiving, at the energy control system, gross consumption data and equipment-specific consumption data of the at least one facility;

determining, at the energy control system, a baseline for energy consumption from the gross consumption data, the equipment-specific consumption data, previous utility bills, and neural nets, wherein the baseline is formed from monitoring existing usage of energy;

performing, at the energy control system, predictive modeling using the baseline and the gross consumption data and the equipment-specific consumption data, wherein the predictive modeling is used to rationalize energy-related opportunities for the at least one facility and create control algorithms to prevent excessive energy usage during high rate times

negotiating, at the energy control system, energy supply agreements and discounts with at least one energy provider of at least one energy resource based on the baseline and predictive modeling;

performing optimization analysis based on the baseline and the gross consumption data and equipment-specific consumption data;

identifying at least one of an anomaly and an opportunity of cost-savings; and

optimizing energy consumption through remotely controlling building systems, wherein at least one setting of at least one of the building systems is adjusted based on a result of at least one of the step of identifying and the step of performing optimization analysis.

9. The article of manufacture of claim 8, wherein the step of identifying is repeated a plurality of times.

10. The article of manufacture of claim 8, wherein the step of negotiating comprises releasing real-time information to power marketers.

11. The article of manufacture of claim 8, wherein the plurality of instructions comprises:

auditing energy-billing information; and

modeling new energy supply agreements based on the audited energy-billing information.

12. The method of claim 8, wherein the energy resource comprises at least one of electricity, natural gas, coal, and steam.

13. The method of claim 8, wherein the step of optimizing comprises reducing energy consumption of at least one of the plurality of building systems.

14. The method of claim 13, wherein the step of optimizing comprises turning off at least one of the plurality of building systems.

15. The method of claim 8, wherein the plurality of building systems comprises at least one of lighting, heating, and cooling systems.

16. A system for facilitating energy consumption optimization, the system comprising:

means for establishing a plurality of clients, each client being associated with at least one facility, on an energy control system;

means for receiving, at the energy control system, of gross consumption data and equipment-specific consumption data of the at least one facility;

means for determining, at the energy control system, a baseline for energy consumption from the gross consumption data, the equipment-specific consumption data, previous utility bills, and neural nets, wherein the baseline is formed from monitoring existing usage of energy;

means for performing, at the energy control system, predictive modeling using the baseline and the gross consumption data and the equipment-specific consumption data, wherein the predictive modeling is used to rationalize energy-related opportunities for the at least one facility and create control algorithms to prevent excessive energy usage during high rate times

means for negotiating, at the energy control system, energy supply agreements and discounts with at least one energy provider of at least one energy resource based on the baseline and the predictive modeling;

means for performing an optimization analysis based on the baseline, the gross consumption data, and the equipment-specific consumption data;

means for identifying at least one of an anomaly and an opportunity for cost-savings;

means for optimizing, via remote control, of energy consumption of a plurality of building systems; and

wherein at least one setting of at least one of the plurality of building systems is adjusted based on at least one of an output of the means for identifying and the means for performing the optimization analysis.

17. The method of claim 16, wherein the energy resource comprises at least one of electricity, natural gas, coal, and steam.

18. The method of claim 16, wherein the step of optimizing comprises reducing energy consumption of at least one of the plurality of building systems.

19. The method of claim 18, wherein the step of optimizing comprises turning off at least one of the plurality of building systems.

20. The method of claim 16, wherein the plurality of building systems comprises at least one of lighting, heating, and cooling systems.