Data center energy management system

• US 20030193777A1
• Filed: 04/16/2002
• Published: 10/16/2003
• Est. Priority Date: 04/16/2002
• Status: Abandoned Application

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Patel, Chandrakant D., Friedrich, Richard J.
• Application Number:
  US10/122,210
• Publication Number:
  US 20030193777A1
• Time in Patent Office: Days
• US Class Current: 361/679.53
• CPC Class Codes: G06F 1/206 comprising thermal management
• CPC Class Codes: H05K 7/20745 within rooms for removing heat from cabinets, e.g. by air conditioning device
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

An energy management system for one or more computer data centers, including a plurality of racks containing electronic packages. The electronic packages may be one or a combination of components such as, processors, micro-controllers, high-speed video cards, memories, semi-conductor devices, computers and the like. The energy management system includes a system controller for distributing workload among the electronic packages. The system controller is also configured to manipulate cooling systems within the one or more data centers.

Claims

1. An energy management system for one or more data centers, the system comprising:

a system controller; and

one or more data centers, said one or more data centers comprising;

a plurality of racks,

a plurality of electronic packages, wherein said plurality of racks contain at least one electronic package; and

a cooling system,

wherein the system controller is interfaced with one or more of said cooling systems and interfaced with the plurality of the electronic packages, and wherein the system controller is configured to distribute workload among the plurality of electronic packages based upon energy requirements.

2. The system according to claim 1, wherein said one or more cooling systems further comprise a plurality of cooling vents for distributing cooling fluids, and the system controller is configured to regulate cooling fluids through the plurality of cooling vents.

3. The system according to claim 1, wherein the system controller is further configured to distribute the workload to minimize energy utilization.

4. The system according to claim 2, wherein the system controller is further configured to regulate the cooling fluids to minimize energy utilization.

5. The system according to claim 1, wherein the system controller is further configured to distribute the workload to minimize energy cost.

6. The system according to claim 2, wherein the system controller is further configured to regulate the cooling fluids to minimize energy cost.

7. The system according to claim 2, comprising a plurality of data centers, wherein the data centers are in different geographic locations.

8. The system according to claim 7, wherein the system controller is further configured to distribute the workloads among the plurality of data centers in the different geographic locations to minimize energy utilization.

9. The system according to claim 7, wherein the system controller is further configured to distribute the workloads among the plurality of data centers in the different geographic locations to minimize energy cost.

10. The system according to claim 2, wherein each of the plurality of cooling vents is associated with one or more electronic packages.

11. An arrangement for optimizing energy use in one or more data centers, the arrangement comprising:

system controlling means; and

one or more data facilitating means, said one or more data facilitating means comprising;

a plurality of processing and electronic means; and

cooling means;

wherein the system controlling means is interfaced with the plurality of processing and electronic means, and interfaced with the cooling means, wherein the system controlling means is configured to distribute workload among the plurality of processing and electronic means.

12. The arrangement of claim 11, wherein the system controlling means is further configured to distribute the workload to minimize energy utilization.

13. The arrangement of claim 11, wherein the system controlling means is further configured to regulate the cooling means to minimize energy utilization.

14. The arrangement of claim 11, wherein the system controlling means is further configured to distribute the workload to minimize energy cost.

15. The arrangement of claim 11, wherein the system controlling means is further configured to regulate the cooling means to minimize energy cost.

16. The arrangement of claim 11, further comprising a plurality of data facilitating means, wherein the plurality of data facilitating means are in different geographic locations.

17. The arrangement of claim 16, wherein the system controlling means is further configured to distribute the workloads among the plurality of data facilitating means in the different geographic locations to minimize energy utilization.

18. The arrangement of claim 16, wherein the system controlling means is further configured to distribute the workloads among the plurality of data facilitating means in the different geographic locations to minimize energy cost.

19. A method of energy management for one or more data centers, said one or more data centers comprising a cooling system and a plurality of racks, said plurality of racks having at least one electronic package, the method comprising:

determining energy utilization;

determining an optimal workload-to-cooling arrangement; and

implementing the optimal workload-to-cooling arrangement.

20. The method of claim 19, wherein the energy utilization determination step comprises determining the temperatures of the at least one electronic package.

21. The method of claim 19, wherein the energy utilization determination step comprises determining the workload of the at least one electronic package.

22. The method of claim 19, wherein the determination of the optimal workload-to-cooling arrangement comprises performing optimizing calculations.

23. The method of claim 22, wherein in the determination of the optimal workload-to-cooling arrangement, the optimizing calculations are based on a constant workload distribution, and a variable cooling arrangement.

24. The method of claim 22, wherein in the determination of the optimal workload-to-cooling arrangement, the optimizing calculations are based on a variable workload distribution, and a constant cooling arrangement.

25. The method of claim 22, wherein in the determination of the optimal workload-to-cooling arrangement, the optimizing calculations are based on a variable workload distribution, and a variable cooling arrangement.

26. The method of claim 22, wherein in the determination of the optimal workload-to-cooling arrangement, the optimizing calculations are performed to minimize energy utilization.

27. The method of claim 22, wherein in the determination of the optimal workload-to-cooling arrangement, the optimizing calculations are performed to minimize energy cost.

28. The method of claim 19, further comprising:

determining the energy utilization of a plurality of electronic packages located in a plurality of data centers, said plurality of data centers being located in different geographic locations; and

wherein the step of implementing the optimal workload-to-cooling arrangement comprises distributing the workload from at least one electronic package in one data center to another electronic package located in another data center.

29. The method of claim 28, wherein the distributing of the workload from at least one electronic package in one data center to another electronic package located in another data center is based on differences in climate between the data centers.