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dc.contributor.authorMorozova, Nina
dc.contributor.authorTrias Miquel, Francesc Xavier
dc.contributor.authorCapdevila Paramio, Roser
dc.contributor.authorPérez Segarra, Carlos David
dc.contributor.authorOliva Llena, Asensio
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Tèrmica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Màquines i Motors Tèrmics
dc.date.accessioned2021-01-19T18:53:57Z
dc.date.available2022-11-01T01:32:12Z
dc.date.issued2020-10-15
dc.identifier.citationMorozova, N. [et al.]. On the feasibility of affordable high-fidelity CFD simulations for indoor environment design and control. "Building and Environment", 15 Octubre 2020, vol. 184, p. 107144/1-107144/13.
dc.identifier.issn1360-1323
dc.identifier.urihttp://hdl.handle.net/2117/335584
dc.description.abstractComputational fluid dynamics (CFD) is a reliable tool for indoor environmental applications. However, accurate CFD simulations require large computational resources, whereas significant cost reduction can lead to unreliable results. The high cost prevents CFD from becoming the primary tool for indoor environmental simulations. Nonetheless, the growth in computational power and advances in numerical algorithms provide an opportunity to use accurate and yet affordable CFD. The objective of this study is to analyze the feasibility of fast, affordable, and high-fidelity CFD simulations for indoor environment design and control using ordinary office computers. We analyze two representative test cases, which imitate common indoor airflow configurations, on a wide range of different turbulence models and discretizations methods, to meet the requirements for the computational cost, run-time, and accuracy. We consider statistically steady-state simulations for indoor environment design and transient simulations for control. Among studied turbulence models, the no-model and large-eddy simulation with staggered discretizations show the best performance. We conclude that high-fidelity CFD simulations on office computers are too slow to be used as a primary tool for indoor environment design and control. Taking into account different laws of computer growth prediction, we estimate the feasibility of high-fidelity CFD on office computers for these applications for the next decades
dc.description.sponsorshipThis work is supported by the Ministerio de Economía y Competitividad, Spain [ENE2017-88697-R]. N. Morozova is supported by the by the Ministerio de Economía y Competitividad, Spain [FPU16/06333 predoctoral contract]. Part of the calculations was performed on the MareNostrum 4 supercomputer at the Barcelona Supercomputing Center [RES project I-2019-2-0021]. The authors thankfully acknowledge these institutions. The authors would also like to thank our colleague MSc Xavier Álvarez Farré for the productive discussions.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 4.0
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids
dc.subjectÀrees temàtiques de la UPC::Edificació::Instal·lacions i acondicionament d'edificis
dc.subject.lcshComputational fluid dynamics
dc.subject.lcshTurbulence--Simulation methods
dc.subject.lcshHeat -- Convection
dc.subject.lcshIndoor air pollution
dc.subject.otherComputational fluid dynamics
dc.subject.otherTransient simulations
dc.subject.otherTurbulence modeling
dc.subject.otherNatural convection
dc.subject.otherMixed convection
dc.subject.otherReal-time simulations
dc.titleOn the feasibility of affordable high-fidelity CFD simulations for indoor environment design and control
dc.typeArticle
dc.subject.lemacDinàmica de fluids computacional
dc.subject.lemacTurbulència -- Mètodes de simulació
dc.subject.lemacCalor -- Convecció
dc.subject.lemacContaminació de l'ambient interior
dc.contributor.groupUniversitat Politècnica de Catalunya. CTTC - Centre Tecnològic de la Transferència de Calor
dc.identifier.doi10.1016/j.buildenv.2020.107144
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S0360132320305187
dc.rights.accessOpen Access
local.identifier.drac30015807
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ENE2017-88697-R/ES/ALGORITMOS NUMERICOS AVANZADOS PARA LA MEJORA DE LA EFICIENCIA ENERGETICA EN LOS SECTORES EOLICO Y SOLAR-TERMICO: DESARROLLO%2FADAPTACION A NUEVAS ARQUITECTURAS COMPUTACIONALES/
local.citation.authorMorozova, N.; Trias, F. X.; Capdevila, R.; Perez, C.; Oliva, A.
local.citation.publicationNameBuilding and Environment
local.citation.volume184
local.citation.startingPage107144/1
local.citation.endingPage107144/13


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