A comparison of parametric and multivariable optimization techniques in a raised-floor data center

Srinarayana Nagarathinam, Babak Fakhim, Masud Behnia, Steve Armfield

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

It is well known that the flow distribution in data centers can be effected by a variety of parameters such as rack and computer room air conditioning (CRAC) positions, raised-floor height, ceiling height, and percentage opening of perforated tiles. In the present paper, numerical simulations are conducted to optimize the layout of a raised-floor data center with respect to these parameters. Two different approaches have been used: parametric optimization; and a multivariable approach using response surface optimization. In the parametric optimization procedure, the data center is optimized with respect to the maximum temperature in the room. While in the multivariable approach, a cost function is constructed from all the rack inlet temperatures and is minimized. The results show that the multivariable approach is computationally economical and the optimized layout gives a better thermal performance compared to that of parametric optimization.

Original languageEnglish
Article number031007
Pages (from-to)1-8
Number of pages8
JournalJournal of Electronic Packaging, Transactions of the ASME
Volume135
Issue number3
DOIs
Publication statusPublished - 2013
Externally publishedYes

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