ELECTRICAL EFFICIENCY MEASUREMENT FOR DATA CENTERS

• US 20090112522A1
• Filed: 10/29/2008
• Published: 04/30/2009
• Est. Priority Date: 10/29/2007
• Status: Abandoned Application

• Current Assignee: Schneider Electric IT Corporation (Schneider Electric SE)
• Original Assignee: American Power Conversion Corporation (Schneider Electric SE)
• Inventors: Rasmussen, Neil
• Application Number:
  US12/260,448
• Publication Number:
  US 20090112522A1
• Time in Patent Office: Days
• US Class Current: 702/186
• CPC Class Codes: G06F 1/26 Power supply means, e.g. regulation thereof for memories G11C
• CPC Class Codes: G06F 2119/06 Power analysis or power optimisation
• CPC Class Codes: G06F 30/13 Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: H05K 7/20836 Thermal management, e.g. server temperature control

Abstract

A method of managing power efficiency of a data center includes conducting initial power measurements at a plurality of locations in the data center, establishing an efficiency model for the data center based on the initial power measurements, establishing benchmark performance levels using the efficiency model, conducting ongoing power measurements, and comparing results of the ongoing power measurements to benchmark performance levels. Other methods and systems of managing power efficiency and modeling power efficiency are further disclosed.

Claims

1. A method of managing power efficiency of a data center, the method comprising:

conducting initial power measurements at a plurality of locations in the data center;

establishing an efficiency model for the data center based on the initial power measurements;

establishing benchmark performance levels using the efficiency model;

conducting ongoing power measurements; and

comparing results of the ongoing power measurements to benchmark performance levels.

2. The method of claim 1, wherein conducting ongoing power measurements includes using a processor based data center management system in conjunction with measurement equipment.

3. The method of claim 2, further comprising providing a warning if the results of the ongoing power measurements differ from the benchmark performance levels by greater than a specified amount.

4. The method of claim 1, wherein establishing an efficiency model includes using data related to climate associated with a location of the data center to establish the efficiency model.

5. The method of claim 1, wherein establishing an efficiency module includes

identifying devices used in the data center that draw power,

for each device, selecting one of a rated capacity and a usable capacity for a power input of the device, and

for each device, determining whether the device contributes as a fixed loss, a proportional loss, or a square-law loss, or a combination thereof.

6. The method of claim 5, wherein establishing an efficiency module further includes aggregating power losses of the devices to obtain a subsystem loss.

7. The method of claim 6, wherein establishing an efficiency module further includes aggregating power losses of the subsystems to obtain a data center loss.

8. A data center management system for managing power efficiency of a data center comprising:

a data center manager having at least one processor programmed to perform the following;

receive data related to initial power measurements at a plurality of locations in the data center;

establish an efficiency model for the data center based on the data related to initial power measurements;

establish benchmark performance levels using the efficiency model;

receive data related to ongoing power measurements; and

compare results of the ongoing power measurements to benchmark performance levels.

9. The data center management system of claim 8, wherein conducting ongoing power measurements includes communicating with power measurement devices over at least one network.

10. The data center management system of claim 8, wherein the at least one processor is programmed to provide a warning if the results of the ongoing power measurements differ from the benchmark performance levels by greater than a specified amount.

11. The data center management system of claim 8, wherein establishing an efficiency model includes using data related to climate associated with a location of the data center to establish the efficiency model.

12. A method of modeling power efficiency of a data center comprising:

measuring a power input into the data center;

measuring power loads in the data center; and

measuring cooling loads in the data center.

13. The method of claim 12, wherein measuring the power loads includes measuring the loads of UPSs and PDUs.

14. The method of claim 12, wherein measuring the cooling loads in the data center includes measuring loads generated by at least one of CRAH, CRAC, fan, chiller unit, ventilation unit, cooling tower, and pumps.

15. The method of claim 12 further comprising measuring environmental conditions of the data center.

16. A method of modeling power efficiency of a data center comprising:

identifying devices used in the data center that draw power;

for each device, selecting one of a rated capacity and a usable capacity for a power input of the device; and

for each device, determining whether the device contributes as a fixed loss, a proportional loss, or a square-law loss, or a combination thereof.

17. The method of claim 16 further comprising aggregating power losses of the devices to obtain a subsystem loss.

18. The method of claim 17 further comprising aggregating power losses of the subsystems to obtain a data center loss.

19. The method of claim 16, wherein the devices are characterized as power-related devices and cooling-related devices.

20. The method of claim 16, further comprising identifying causes of losses other than from devices, and predicting the amount of loss from statistical data.

21. The method of claim 16 further comprising

providing a data center catalog including a majority of data center configurations, the data center catalog having a power catalog of exemplary power configurations and a cooling catalog of exemplary cooling configurations, and

combining the power catalog and the cooling catalog to create a data center configuration.

22. The method of claim 16 further comprising simplifying the calculations for circular dependencies in the model.

23. A data center management system for modeling power efficiency of a data center comprising:

a data center manager having at least one processor programmed to perform the following;

identify devices used in the data center that draw power;

for each device, select one of a rated capacity and a usable capacity for a power input of the device; and

for each device, determine whether the device contributes as a fixed loss, a proportional loss, or a square-law loss, or a combination thereof.

24. The data center management system of claim 23, wherein the at least one processor is programmed to aggregate power losses of the devices to obtain a subsystem loss.

25. The data center management system of claim 24, wherein the at least one processor is programmed to aggregate power losses of the subsystems to obtain a data center loss.

26. A computer readable medium having stored thereon sequences of instruction including instructions that will cause a processor to:

identify devices used in the data center that draw power;

for each device, select one of a rated capacity and a usable capacity for a power input of the device; and

for each device, determine whether the device contributes as a fixed loss, a proportional loss, or a square-law loss, or a combination thereof.