{"title":"粒子条纹跟踪等温混合通风条件下模拟速度分布的验证","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":"{\"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. 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引用次数: 0
摘要
摘要本文对混合通风中的速度分布进行了验证性研究。两个不同的送风扩散器(槽形扩散器和旋流扩散器)形成两个不同的房间气流。对旋流扩压器的两种不同排气位置和槽型扩压器的五种不同排气位置进行了数值和实验测试。结果表明,当换气量为每小时6次时,模拟与实验结果吻合较好,但当换气量为每小时1.5次时,模拟与实验结果不一致。旋流扩散器的实验速度与仿真速度的偏差较大。这些存在部分是由于实验方法,但也是由于对供气动量的高估。因此,对旋流扩散器进行了进一步的灵敏度研究。在计算流体力学模拟中,供气动量的过高估计主要取决于几何模型误差。通过对不同湍流模型的比较,证实了RST椭圆混合湍流模型相对于k-epsilon可实现模型在旋流扩散器情况下的优越性。重点实验与数值速度测定的比较用pst技术的全尺寸实验数据两种不同的送风扩散器:槽型和旋涡型不同湍流模型的验证包括rstcos定理的流动特性比较方法气流特性气流结构湍流模型计算流体动力学实验流体动力学披露声明作者未报告潜在的利益冲突。数据可用性声明支持本研究结果的数据可在柏林Technische的DepositOnce中公开获取,网址为https://doi.org/10.14279/depositonce-18189.Notes1 Trox GmbH, LVS/125/G1/P1-RAL9005-70%.2Trox GmbH, VDW-Q-Z-V/500x24/ p1 - ral9005 -70%Trox GmbH, VSD35-1-AK-M-L/600x98/C1/ p1 - ral9005 -70%这张照片是在非等温装置中拍摄的。圆柱形热假人不是等温测量的一部分由Hermann-Rietschel-Institut, Technische Universität Berlin.6 CANON EOS 5D.7开发和制造8 Dantec Dynamics,精度:0-1 m s - 1±2%,1 - 5 m s - 1±5%。1.9西门子数字工业软件。10研究项目的后续目标是评估通风效果,因此,空气的年龄被认为是网格独立性研究中的一个质量特征Python Software Foundation.12 Pillow是Alex Clark和contributor开发的一个PIL分支。本工作由德国联邦经济事务和气候保护部(BMWK)根据IGF资助代码20440 n资助。作者对本出版物的内容负责。作者简介:gerrid Brockmann gerrid Brockmann是柏林理工大学赫尔曼-里切尔研究所Universität的工程科学家,自2015年以来一直从事室内空气流动特性和通风效率领域的研究。他于2013年毕业于德国亚琛工业大学机械工程专业,主修热力学和能源技术。在储热和燃气轮机研究的第一步,他收集了超过12年的计算流体动力学和实验验证过程的经验。2016年至2022年,安妮·哈特曼(Anne Hartmann)是柏林工业大学赫尔曼-里切尔研究所Universität的研究员,主要研究方向是通风、室内空气卫生、空气净化、病原体的空气传播、热舒适和空调。自2020年起,她担任污染控制课题组组长,主导新冠肺炎大流行研究课题,发表多篇室内感染风险相关论文。2023年,她带着她的专业知识来到IT G建筑系统工程研究与应用研究所。Martin Kriegel于2005年在柏林Technische Universität完成了关于置换通风的实验研究和数值模拟的博士学位。之后,他在建筑能源系统工程办公室担任项目经理和副总经理。自2011年起,英博士。马丁·克里格尔(Martin Kriegel)一直是柏林工业大学Universität赫尔曼·里切尔研究所(Hermann Rietschel institute)的负责人,专注于污染控制、室内环境质量以及建筑和地区的能源系统。
Validation of simulated velocity distribution in isothermal mixing ventilation cases with particle streak tracking
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).