Understanding Cooling Delay in High Density Data Centers

abstract: With the ever-increasing demand for high-end services, technological companies have been forced to operate on high performance servers. In addition to the customer services, the company's internal need to store and manage huge amounts of data has also increased their need to invest in...

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Other Authors: Ramaraj, Dineshbalaji (Author)
Format: Dissertation
Language:English
Published: 2015
Subjects:
CFD
Online Access:http://hdl.handle.net/2286/R.I.29674
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record_format oai_dc
spelling ndltd-asu.edu-item-296742018-06-22T03:05:57Z Understanding Cooling Delay in High Density Data Centers abstract: With the ever-increasing demand for high-end services, technological companies have been forced to operate on high performance servers. In addition to the customer services, the company's internal need to store and manage huge amounts of data has also increased their need to invest in High Density Data Centers. As a result, the performance to size of the data center has increased tremendously. Most of the consumed power by the servers is emitted as heat. In a High Density Data Center, the power per floor space area is higher compared to the regular data center. Hence the thermal management of this type of data center is relatively complicated. Because of the very high power emission in a smaller containment, improper maintenance can result in failure of the data center operation in a shorter period. Hence the response time of the cooler to the temperature rise of the servers is very critical. Any delay in response will constantly lead to increased temperature and hence the server's failure. In this paper, the significance of this delay time is understood by performing CFD simulation on different variants of High Density Modules using ANSYS Fluent. It was found out that the delay was becoming longer as the size of the data center increases. But the overload temperature, ie. the temperature rise beyond the set-point became lower with the increase in data center size. The results were common for both the single-row and the double-row model. The causes of the increased delay are accounted and explained in detail manner in this paper. Dissertation/Thesis Ramaraj, Dineshbalaji (Author) Gupta, Sandeep (Advisor) Hermann, Marcus (Committee member) Huang, Huei-Ping (Committee member) Arizona State University (Publisher) Mechanical engineering Computer science CFD Cooling Delay Overload Temperature eng 93 pages Masters Thesis Mechanical Engineering 2015 Masters Thesis http://hdl.handle.net/2286/R.I.29674 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2015
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Mechanical engineering
Computer science
CFD
Cooling Delay
Overload Temperature
spellingShingle Mechanical engineering
Computer science
CFD
Cooling Delay
Overload Temperature
Understanding Cooling Delay in High Density Data Centers
description abstract: With the ever-increasing demand for high-end services, technological companies have been forced to operate on high performance servers. In addition to the customer services, the company's internal need to store and manage huge amounts of data has also increased their need to invest in High Density Data Centers. As a result, the performance to size of the data center has increased tremendously. Most of the consumed power by the servers is emitted as heat. In a High Density Data Center, the power per floor space area is higher compared to the regular data center. Hence the thermal management of this type of data center is relatively complicated. Because of the very high power emission in a smaller containment, improper maintenance can result in failure of the data center operation in a shorter period. Hence the response time of the cooler to the temperature rise of the servers is very critical. Any delay in response will constantly lead to increased temperature and hence the server's failure. In this paper, the significance of this delay time is understood by performing CFD simulation on different variants of High Density Modules using ANSYS Fluent. It was found out that the delay was becoming longer as the size of the data center increases. But the overload temperature, ie. the temperature rise beyond the set-point became lower with the increase in data center size. The results were common for both the single-row and the double-row model. The causes of the increased delay are accounted and explained in detail manner in this paper. === Dissertation/Thesis === Masters Thesis Mechanical Engineering 2015
author2 Ramaraj, Dineshbalaji (Author)
author_facet Ramaraj, Dineshbalaji (Author)
title Understanding Cooling Delay in High Density Data Centers
title_short Understanding Cooling Delay in High Density Data Centers
title_full Understanding Cooling Delay in High Density Data Centers
title_fullStr Understanding Cooling Delay in High Density Data Centers
title_full_unstemmed Understanding Cooling Delay in High Density Data Centers
title_sort understanding cooling delay in high density data centers
publishDate 2015
url http://hdl.handle.net/2286/R.I.29674
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