System and method for facilitating optimization of cooling efficiency of a data center

Patent metadata

Field	Value
Publication number	US-9990013-B2
Application number	US-201415100209-A
Country	US
Kind code	B2
Filing date	Nov 21, 2014
Priority date	Nov 29, 2013
Publication date	Jun 5, 2018
Grant date	Jun 5, 2018

Abstract

Disclosed is a system and method for facilitating optimizing cooling efficiency of a data center. The method may comprise receiving a layout of the data center. The method may comprise computing co-ordinates of each equipment of a plurality of equipments associated with the data center. Further, the method may comprise segregating the layout into a plurality of cells. The method may comprise capturing preliminary data associated with the data center. Further, the method may comprise determining a state value of the data center based upon the preliminary data. The method may comprise capturing CFD data and, selectively, thermal assessment data. Further, the method may comprise facilitating the optimization of the cooling efficiency of the data center by using an external analysis tool capable of performing Computational Fluid Dynamics (CFD) analysis or thermal assessment followed by the Computational Fluid Dynamics (CFD) analysis using the CFD data and the thermal assessment data.

First claim

The invention claimed is:

1. A method for facilitating optimizing cooling efficiency of a data center, the method comprising:
receiving a layout of the data center;
computing, via a processor, co-ordinates of each equipment of a plurality of equipments associated with the data center, wherein the co-ordinates are computed based upon a distance of each equipment from a reference location in the data center;
segregating, via the processor, the layout into a plurality of cells based on the layout, wherein the plurality of cells comprises the plurality of equipments;
capturing preliminary data associated with the data center;
determining, via the processor, a state value of the data center based upon the preliminary data;
when the state value is less than a reference state value,
capturing first level thermal assessment data for each equipment in the data center,
processing, via the processor, the preliminary data and the first level thermal assessment data in order to identify thermal assessment cells from the plurality cells, and
capturing second level thermal assessment data corresponding to equipments present in the thermal assessment cells;

capturing first level CFD data for each equipment in the data center;
processing, via the processor, the first level CFD data in order to identify CFD cells from the plurality of cells;
capturing second level CFD data corresponding to equipments present in the CFD cells;
processing, via the processor, the second level CFD data in order to identify a sub-set of the CFD cells;
capturing third level CFD data corresponding to equipments present in the sub-set of the CFD cells; and
transmitting at least one of the first level thermal assessment data, the second level thermal assessment data, the first level CFD data, the second level CFD data and the third level CFD data to an external analysis tool, wherein the external analysis tool is capable of performing at least one of a thermal assessment and a Computational Fluid Dynamics (CFD) analysis using the at least one of the first level thermal assessment data, the second level thermal assessment data, the first level CFD data, the second level CFD data and the third level CFD data, thereby facilitating the optimization of the cooling efficiency of the data center.

2. The method of claim 1 , wherein the plurality of equipments comprises a Computer Room Air Conditioner (CRAC), a networking device, a storage device, a switch, a heat dissipating device, and a rack housing the heat dissipating device.

3. The method of claim 2 , wherein the preliminary data comprises information of the plurality of equipments, information of racking practices of the rack, power consumed by the data center, power consumed by the one or more equipments, operational parameters of the plurality of equipments, leakage in a plenum of the data center, blockage in the plenum of the data center, openings in the rack, temperature associated with each equipment, air velocity associated with each equipment.

4. The method of claim 1 , wherein the segregation of the layout is based on, size of each cell of the plurality of cells, or an aisle in the data center or geometry associated with the data center.

5. The method of claim 1 , wherein the first level thermal assessment data is associated with each cell of the plurality of cells, and wherein the first level thermal assessment data comprises first level thermal assessment topographical data, first level temperature data, and first level flow data, and wherein the first level thermal assessment topographical data is associated with at least one of a leakage, a blockage and an opening corresponding to each cell of the plurality of cells.

6. The method of claim 5 , wherein the processing of the data and the first level thermal assessment data enables in computing thermal assessment metrics, and wherein the thermal assessment metrics facilitates in the identification of the thermal assessment cells.

7. The method of claim 1 , wherein the second level thermal assessment data is associated with each cell of the thermal assessment cells, and wherein the second level thermal assessment data comprises second level thermal assessment topographical data, second level temperature data, and second level flow data, wherein the second level thermal assessment topographical data is associated with at least one of a leakage, a blockage and an opening corresponding to each cell of the thermal assessment cells.

8. The method of claim 1 , wherein the first level CFD data comprises CFD topographical data, and wherein the CFD topographical data is associated with at least one of a leakage, a blockage and a containment corresponding to each cell of the plurality of cells.

9. The method of claim 8 , wherein the processing of the first level CFD data enables computing first level CFD metrics, and wherein the first level CFD metrics facilitates in the identification of the CFD cells.

10. The method of claim 1 , wherein the second level CFD data comprises first level CFD temperature data and first level CFD flow data, and wherein the first level CFD temperature data and the first level CFD flow data are obtained corresponding to each cell of the CFD cells.

11. The method of claim 10 , wherein the processing of the second level CFD data enables in computing second level CFD metrics, and wherein the second level CFD metrics facilitates in the identification of the sub-set of the CFD cells.

12. The method of claim 1 , wherein the third level CFD data comprises second level CFD temperature data and second level CFD flow data, and wherein the second level CFD temperature data and the second level CFD flow data are obtained corresponding to each cell of the sub-set of the CFD cells.

13. The method of claim 1 , wherein the first level CFD data, the second level CFD data and the third level CFD data are captured directly, when the state value is greater than or equal to the reference state value, or the first level CFD data, the second level CFD data and the third level CFD data are captured after the capturing of the first level thermal assessment data and the second level thermal assessment data, when the state value is less than the reference state value.

14. A system for facilitating optimizing cooling efficiency of a data center, the system comprising:
a processor; and
a memory coupled to the processor, the memory comprising a plurality of modules capable of being executed by the processor, wherein the plurality of modules comprises:
a geometry processing module configured to
receive a layout of the data center;
compute co-ordinates of each equipment of a plurality of equipments associated with the data center, wherein the co-ordinates are computed based upon a distance of each equipment from a reference location in the data center, and
segregate the layout into a plurality of cells based on the layout, wherein the plurality of cells comprises the plurality of equipments;

a data processing module configured to,
capture preliminary data associated with the data center;
determine a state value of the data center based upon the preliminary data;
when the state value is less than a reference state value,
capture first level thermal assessment data for each equipment in the data center,
process the preliminary data and the first level thermal assessment data in order to identify thermal assessment cells from the plurality cells, and
capture second level thermal assessment data corresponding to equipments present in the thermal assessment cells,

wherein the data processing module is further configured to
capture first level CFD data for each eq

Assignees

• Tata Consultancy Services Ltd

Inventors

• Singh Umesh
• Bhagwat Harshad Girish
• D Sankara Narayanan
• Varghese Arun
• Singh Amarendra Kumar
• Jayaprakash Rajesh
• Sivasubramaniam Anand

Classifications

• G06F1/20 Primary

  Cooling means · CPC title

• G05B2219/50333

  Temperature · CPC title

• G06F2119/08

  Thermal analysis or thermal optimisation · CPC title

• G06F30/20

  Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title

• G06F11/00

  Error detection; Error correction; Monitoring (error detection, correction or monitoring in information storage based on relative movement between record carrier and transducer G11B20/18; monitoring, i.e. supervising the progress of recording or reproducing G11B27/36; in static stores G11C29/00) · CPC title