Improving Airflow and Thermal Distribution in a Real Data Centre Room Through Computational Fluid Dynamics Modeling

Diogo G. C. S. Macedo, Pedro D. Gaspar, Pedro Dinho da Silva, Miguel T. Covas, Radu Godina

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

A Data Centre is a physical space that groups together computer equipment such as servers, storage arrays, among other equipment. It can be used for storage, processing and data protection. The majority of data centres operate 24 hours a day, and must provide the user with guarantees in terms of security and performance. Energy consumption is therefore permanent and the level of assistance and maintenance high. Data Centres have an ecological impact that is almost invisible to many users. In this paper a computational fluid dynamics (CFD) model of the airflow and thermal distribution of a real data centre room with 208 racks is proposed. Two case studies are presented and simulated with a high thermal load subjected to the minimum and maximum air flow velocity, respectively. The objective is to assess if the computer room air conditioning unit (CRAC) can cool the racks of the data centre in order to efficiently refrigerate all the hot spots.

Original languageEnglish
Title of host publicationProceedings of 2019 8th International Conference on Industrial Technology and Management, ICITM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages165-169
Number of pages5
ISBN (Electronic)9781728132686
DOIs
Publication statusPublished - 9 May 2019
Event8th International Conference on Industrial Technology and Management, ICITM 2019 - Cambridge, United Kingdom
Duration: 2 Mar 20194 Mar 2019

Conference

Conference8th International Conference on Industrial Technology and Management, ICITM 2019
CountryUnited Kingdom
CityCambridge
Period2/03/194/03/19

Keywords

  • air-conditioning systems
  • computational fluid dynamics
  • computer room air conditioning
  • data centre
  • energy efficiency
  • hot spots

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