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Parametric study by means of 3D CFD to improve the airflow pattern and temperature distribution in data center rooms

2019Journal article Open access
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dc.contributor.authorMacedo, Diogo Gonçalves Costa e Silva de
dc.contributor.authorGodina, Radu
dc.contributor.authorGaspar, Pedro Dinis
dc.contributor.authorSilva, Pedro Dinho da
dc.contributor.authorCovas, Miguel Trigueiros
dc.date.accessioned2019-11-06T11:41:28Z
dc.date.available2019-11-06T11:41:28Z
dc.date.issued2019
dc.description.abstractThe processing efficacy and energy efficiency of data centers (DC) is directly related with the cooling performance of the air-conditioning systems. The cooling effectiveness depends on airflow pattern and temperature distribution. This paper presents the parametric study of three-dimensional (3D) computational fluid dynamics (CFD) models to improve these technical characteristics. In this case study the most suitable thermal load, as deemed by the organization, of the heat flow boundary condition is simulated and studied for maximum and minimum airflow. The analysis of the numerical results provides a prediction of the thermal performance, i.e., the lower values and spatial gradients (hot spots) of air temperature and velocity while maintaining the computational processing requirements. These results allow the development of an optimized CFD model for setting up the operational parameters of CRAC systems for DC rooms.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.18462/iir.icr.2019.1770pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/7529
dc.language.isoengpt_PT
dc.publisherThe 25th IIR International Congress of Refrigeration (ICR 2019)pt_PT
dc.subjectComputational Fluid Dynamicspt_PT
dc.subjectComputer Room Air Conditioningspt_PT
dc.subjectData Centerspt_PT
dc.subjectAirconditioning Systemspt_PT
dc.subjectHot Spotspt_PT
dc.subjectEnergy Efficiencypt_PT
dc.titleParametric study by means of 3D CFD to improve the airflow pattern and temperature distribution in data center roomspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEMS%2F00151%2F2013/PT
oaire.citation.conferencePlaceMontreal, Canadapt_PT
oaire.citation.title25th IIR International Congress of Refrigerationpt_PT
oaire.fundingStream5876
person.familyNameGodina
person.familyNameGaspar
person.familyNameSilva
person.givenNameRadu
person.givenNamePedro Dinis
person.givenNamePedro
person.identifierZAv_muAAAAAJ&hl
person.identifier.ciencia-idC51B-8BBA-8C0B
person.identifier.ciencia-id6111-9F05-2916
person.identifier.ciencia-id3C14-B985-13A1
person.identifier.orcid0000-0003-1244-5624
person.identifier.orcid0000-0003-1691-1709
person.identifier.orcid0000-0003-2204-3397
person.identifier.ridN-3016-2013
person.identifier.ridA-6638-2016
person.identifier.scopus-author-id56586027200
person.identifier.scopus-author-id57419570900
person.identifier.scopus-author-id7203088999
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscovery483bd890-f402-4ce4-b740-b37febcba37f
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