{"title":"Validation of simulated velocity distribution in isothermal mixing ventilation cases with particle streak tracking","authors":"Gerrid Brockmann, Anne Hartmann, Martin Kriegel","doi":"10.1080/14733315.2023.2263276","DOIUrl":null,"url":null,"abstract":"AbstractThis is a validation study for the velocity distribution in mixing ventilation. Two different supply air diffusers a slot and a swirl diffuser form two different room airflows. For the swirl diffuser two different and for the slot diffuser five different exhaust positioning are tested numerically and experimentally. A comparison of the flow structure shows good agreement between simulation and experiment for six air changes per hour, but not for the lower air change rate of 1.5 per hour. The velocity deviations between experiment and simulation are higher for the swirl diffuser. These exist partly due to the experimental methodology, but also due to an overestimation of the supply air momentum. Thus, further sensitivity investigations are carried out for the swirl diffuser. The overestimation of the supply air momentum depends mainly on a geometric model error in the computational fluid dynamics simulation. A comparison of different turbulence models confirms the advantages of the RST elliptic blending turbulence model over the k-epsilon realizable model for the swirl diffuser case.HighlightsComparison between experimental and numerical velocity determinationFull-scale experimental data with PST-technologyTwo different supply air diffusers: slot and swirlValidation of different turbulence models including RSTCosine theorem-based method for comparison of the flow characteristicKeywords: Airflow characteristicairflow structureturbulence modelscomputational fluid dynamicsexperimental fluid dynamics Disclosure statementNo potential conflict of interest was reported by the authors.Data availability statementThe data that support the findings of this study are openly available in DepositOnce of the Technische Univeristät Berlin at https://doi.org/10.14279/depositonce-18189.Notes1 Trox GmbH, LVS/125/G1/P1-RAL9005-70%.2 Trox GmbH, VDW-Q-Z-V/500x24/P1-RAL9005-70%.3 Trox GmbH, VSD35-1-AK-M-L/600x98/C1/P1-RAL9005-70%.4 The photo is taken from a nonisothermal setup. The cylindrical heat dummies are not part of the isothermal measurements.5 Developed and manufactured by the Hermann-Rietschel-Institut, Technische Universität Berlin.6 CANON EOS 5D.7 National Institutes of Health.8 Dantec Dynamics, accuracy: ±2 % for 0–1 m s−1, ±5 % for 1–5 m s−1.9 Siemens Digital Industries Software.10 The subsequent aim of the research project is to evaluate the ventilation effectiveness, therefore, the age of the air is considered as a quality characteristic in the grid independency study.11 Python Software Foundation.12 Pillow is a PIL fork by Alex Clark and Contributors.Additional informationFundingThis work was funded by the German Federal Ministry for Economic Affairs and Climate Protection (BMWK) under the IGF funding code 20440 N. The authors assume responsibility for the content of this publication.Notes on contributorsGerrid BrockmannGerrid Brockmann is an engineering scientist at the Hermann-Rietschel-Institut of the Technische Universität Berlin and is working in the field of indoor air flow characteristics and ventilation effectiveness since 2015. He graduated in mechanical engineering at the RWTH Aachen University with a focus in thermodynamics and energy technologies in 2013. With first steps in the thermal storage and gas turbine research, he collects over twelve years’ experience in computational fluid dynamics and experimental validation processes.Anne HartmannAnne Hartmann was a research associate at the Hermann-Rietschel-Institut of the Technische Universität Berlin from 2016 to 2022, where she focused on ventilation, indoor air hygiene, air purification, airborne spread of pathogens, thermal comfort and air conditioning. Since 2020 she took over the lead of the contamination control research group and lead though the COVID-19 pandemic research topics and publicated several papers about indoor infection risk. 2023 she moved with her expertise to IT G Institute for Building Systems Engineering Research and Application.Martin KriegelMartin Kriegel finished his PhD about experimental investigations and numerical simulations of displacement ventilation in 2005 at the Technische Universität Berlin. Afterwards he worked as a project manager and deputy managing director in an engineering office for energy systems in buildings. Since 2011, Prof. Dr.-Ing. Martin Kriegel has been head of the Hermann Rietschel Institut at the Technische Universität Berlin with the focus on contamination control, indoor environmental quality and energy systems for buildings and districts.","PeriodicalId":55613,"journal":{"name":"International Journal of Ventilation","volume":"67 1","pages":"0"},"PeriodicalIF":1.1000,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Ventilation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/14733315.2023.2263276","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
AbstractThis is a validation study for the velocity distribution in mixing ventilation. Two different supply air diffusers a slot and a swirl diffuser form two different room airflows. For the swirl diffuser two different and for the slot diffuser five different exhaust positioning are tested numerically and experimentally. A comparison of the flow structure shows good agreement between simulation and experiment for six air changes per hour, but not for the lower air change rate of 1.5 per hour. The velocity deviations between experiment and simulation are higher for the swirl diffuser. These exist partly due to the experimental methodology, but also due to an overestimation of the supply air momentum. Thus, further sensitivity investigations are carried out for the swirl diffuser. The overestimation of the supply air momentum depends mainly on a geometric model error in the computational fluid dynamics simulation. A comparison of different turbulence models confirms the advantages of the RST elliptic blending turbulence model over the k-epsilon realizable model for the swirl diffuser case.HighlightsComparison between experimental and numerical velocity determinationFull-scale experimental data with PST-technologyTwo different supply air diffusers: slot and swirlValidation of different turbulence models including RSTCosine theorem-based method for comparison of the flow characteristicKeywords: Airflow characteristicairflow structureturbulence modelscomputational fluid dynamicsexperimental fluid dynamics Disclosure statementNo potential conflict of interest was reported by the authors.Data availability statementThe data that support the findings of this study are openly available in DepositOnce of the Technische Univeristät Berlin at https://doi.org/10.14279/depositonce-18189.Notes1 Trox GmbH, LVS/125/G1/P1-RAL9005-70%.2 Trox GmbH, VDW-Q-Z-V/500x24/P1-RAL9005-70%.3 Trox GmbH, VSD35-1-AK-M-L/600x98/C1/P1-RAL9005-70%.4 The photo is taken from a nonisothermal setup. The cylindrical heat dummies are not part of the isothermal measurements.5 Developed and manufactured by the Hermann-Rietschel-Institut, Technische Universität Berlin.6 CANON EOS 5D.7 National Institutes of Health.8 Dantec Dynamics, accuracy: ±2 % for 0–1 m s−1, ±5 % for 1–5 m s−1.9 Siemens Digital Industries Software.10 The subsequent aim of the research project is to evaluate the ventilation effectiveness, therefore, the age of the air is considered as a quality characteristic in the grid independency study.11 Python Software Foundation.12 Pillow is a PIL fork by Alex Clark and Contributors.Additional informationFundingThis work was funded by the German Federal Ministry for Economic Affairs and Climate Protection (BMWK) under the IGF funding code 20440 N. The authors assume responsibility for the content of this publication.Notes on contributorsGerrid BrockmannGerrid Brockmann is an engineering scientist at the Hermann-Rietschel-Institut of the Technische Universität Berlin and is working in the field of indoor air flow characteristics and ventilation effectiveness since 2015. He graduated in mechanical engineering at the RWTH Aachen University with a focus in thermodynamics and energy technologies in 2013. With first steps in the thermal storage and gas turbine research, he collects over twelve years’ experience in computational fluid dynamics and experimental validation processes.Anne HartmannAnne Hartmann was a research associate at the Hermann-Rietschel-Institut of the Technische Universität Berlin from 2016 to 2022, where she focused on ventilation, indoor air hygiene, air purification, airborne spread of pathogens, thermal comfort and air conditioning. Since 2020 she took over the lead of the contamination control research group and lead though the COVID-19 pandemic research topics and publicated several papers about indoor infection risk. 2023 she moved with her expertise to IT G Institute for Building Systems Engineering Research and Application.Martin KriegelMartin Kriegel finished his PhD about experimental investigations and numerical simulations of displacement ventilation in 2005 at the Technische Universität Berlin. Afterwards he worked as a project manager and deputy managing director in an engineering office for energy systems in buildings. Since 2011, Prof. Dr.-Ing. Martin Kriegel has been head of the Hermann Rietschel Institut at the Technische Universität Berlin with the focus on contamination control, indoor environmental quality and energy systems for buildings and districts.
期刊介绍:
This is a peer reviewed journal aimed at providing the latest information on research and application.
Topics include:
• New ideas concerned with the development or application of ventilation;
• Validated case studies demonstrating the performance of ventilation strategies;
• Information on needs and solutions for specific building types including: offices, dwellings, schools, hospitals, parking garages, urban buildings and recreational buildings etc;
• Developments in numerical methods;
• Measurement techniques;
• Related issues in which the impact of ventilation plays an important role (e.g. the interaction of ventilation with air quality, health and comfort);
• Energy issues related to ventilation (e.g. low energy systems, ventilation heating and cooling loss);
• Driving forces (weather data, fan performance etc).