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Article: Computational fluid dynamics predictions of non-isothermal ventilation flow-How can the user factor be minimized?

TitleComputational fluid dynamics predictions of non-isothermal ventilation flow-How can the user factor be minimized?
Authors
Keywordscomputational fluid dynamics
guidelines
non‐isothermal indoor airflow
statistical analysis
user influence
Issue Date2018
PublisherWiley-Blackwell Publishing, Inc. The Journal's web site is located at http://www.blackwellpublishing.com/journals/INA
Citation
Indoor Air, 2018, v. 28, p. 866-880 How to Cite?
AbstractThe use of computational fluid dynamics (CFD) to solve indoor airflow problems has increased tremendously in the last decades. However, the accuracy of CFD simulations depends greatly on user experience, the available validation data, and the effort made to verify solutions. This study presents the results of a conference workshop, which assessed user influence on the CFD results obtained for a generic non‐isothermal flow problem; ie, a backward‐facing step flow problem with a heated wall below the supply. Fifty‐five simulation sets were submitted by 32 teams. The results showed a very large spread in predicted penetration length (xre/(H − h)), location of maximum velocity in the lower part of the recirculation cell (xrm/(H − h)), and maximum velocity at this location (urm/u0). The turbulence model seemed to very strongly influence the results, with a statistically significant difference in the predictions yielded by the k‐ε and k‐ω models. The results obtained using a single turbulence model generally also showed a spread in results; the level of spread depended on factors such as grid size and near‐wall treatment. The statistical data strongly indicate the need for validation studies using experimental data (benchmarks) to ensure the accuracy, reliability, and trustworthiness of CFD simulations for indoor airflow problems.
Persistent Identifierhttp://hdl.handle.net/10722/278203
ISSN
2023 Impact Factor: 4.3
2023 SCImago Journal Rankings: 0.997
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorvan Hooff, T-
dc.contributor.authorNielsen, PV-
dc.contributor.authorLi, Y-
dc.date.accessioned2019-10-04T08:09:28Z-
dc.date.available2019-10-04T08:09:28Z-
dc.date.issued2018-
dc.identifier.citationIndoor Air, 2018, v. 28, p. 866-880-
dc.identifier.issn0905-6947-
dc.identifier.urihttp://hdl.handle.net/10722/278203-
dc.description.abstractThe use of computational fluid dynamics (CFD) to solve indoor airflow problems has increased tremendously in the last decades. However, the accuracy of CFD simulations depends greatly on user experience, the available validation data, and the effort made to verify solutions. This study presents the results of a conference workshop, which assessed user influence on the CFD results obtained for a generic non‐isothermal flow problem; ie, a backward‐facing step flow problem with a heated wall below the supply. Fifty‐five simulation sets were submitted by 32 teams. The results showed a very large spread in predicted penetration length (xre/(H − h)), location of maximum velocity in the lower part of the recirculation cell (xrm/(H − h)), and maximum velocity at this location (urm/u0). The turbulence model seemed to very strongly influence the results, with a statistically significant difference in the predictions yielded by the k‐ε and k‐ω models. The results obtained using a single turbulence model generally also showed a spread in results; the level of spread depended on factors such as grid size and near‐wall treatment. The statistical data strongly indicate the need for validation studies using experimental data (benchmarks) to ensure the accuracy, reliability, and trustworthiness of CFD simulations for indoor airflow problems.-
dc.languageeng-
dc.publisherWiley-Blackwell Publishing, Inc. The Journal's web site is located at http://www.blackwellpublishing.com/journals/INA-
dc.relation.ispartofIndoor Air-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectcomputational fluid dynamics-
dc.subjectguidelines-
dc.subjectnon‐isothermal indoor airflow-
dc.subjectstatistical analysis-
dc.subjectuser influence-
dc.titleComputational fluid dynamics predictions of non-isothermal ventilation flow-How can the user factor be minimized?-
dc.typeArticle-
dc.identifier.emailLi, Y: liyg@hku.hk-
dc.identifier.authorityLi, Y=rp00151-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1111/ina.12492-
dc.identifier.pmid29999548-
dc.identifier.scopuseid_2-s2.0-85054824177-
dc.identifier.hkuros306606-
dc.identifier.volume28-
dc.identifier.spage866-
dc.identifier.epage880-
dc.identifier.isiWOS:000447285600008-
dc.publisher.placeDenmark-
dc.identifier.issnl0905-6947-

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