Particle image velocimetry measurement of indoor airflow field: A review of the technologies and applications

Abstract Quantifying the airflow field in building room or vehicle cabin is crucial for creating a thermal comfortable and healthy indoor environment. Airflow field measurement can provide quantitative information of indoor air distribution and local air velocity around occupants or passengers, which has strong relationship with the ventilation effectiveness, the pollutant transportation and the energy conservation in a building or a vehicle. Specifically, PIV has gradually became the most popular and promising technique for airflow field measurement in indoor environment during the last decade. This paper firstly gave an overview of the typical PIV technologies used in indoor environment and the state-of-the-art applications of PIV in measuring the indoor airflow fields. The overview shows that the quantitative and detailed turbulent flow information obtained by PIV is critical for analyzing turbulent properties and validating numerical simulations. Specifically, the authors focused on the pros and cons of PIV measurement and gave the typical parameters of PIV used in indoor airflow field measurements. Generally, the researchers should pay more attention to the selection of appropriate PIV system parameters according to their specific research needs. The accuracy of PIV measurement and the limitations of measurement systems using PIV were also discussed.

[1]  Christian J. Kähler,et al.  Comparison of CCD, CMOS and intensified cameras , 2007 .

[2]  A. Melling Tracer particles and seeding for particle image velocimetry , 1997 .

[3]  K. Mengersen,et al.  Characterization of expiration air jets and droplet size distributions immediately at the mouth opening , 2008, Journal of Aerosol Science.

[4]  Shelly L. Miller,et al.  Particle Image Velocimetry of Human Cough , 2011 .

[5]  Zhiqiang John Zhai,et al.  Evaluation of Various Turbulence Models in Predicting Airflow and Turbulence in Enclosed Environments by CFD: Part 2—Comparison with Experimental Data from Literature , 2007 .

[6]  Qingyan Chen,et al.  Accurate and high-resolution boundary conditions and flow fields in the first-class cabin of an MD-82 commercial airliner , 2012 .

[7]  Michael Amitay,et al.  Control of aerosol dispersion and removal in a room using synthetic jet actuators , 2010 .

[8]  Guoqiang Zhang,et al.  Scale model experiments to determine the effects of internal airflow and floor design on gaseous emissions from animal houses , 2008 .

[9]  Jürgen Kompenhans,et al.  Generation and control of tracer particles for optical flow investigations in air , 2002 .

[10]  Gwi-Nam Bae,et al.  Study on the initial velocity distribution of exhaled air from coughing and speaking , 2012, Chemosphere.

[11]  Qingyan Chen,et al.  Measurement of two-dimensional air velocities in a full-scale room using particle image velocimetry , 2001 .

[12]  Knud Erik Meyer,et al.  A visual description of the convective flow field around the head of a human , 2005, J. Vis..

[13]  Jan Carmeliet,et al.  PIV measurements and analysis of transitional flow in a reduced- scale model: ventilation by a free plane jet with Coanda effect , 2012 .

[14]  Frederick Stern,et al.  Biases of PIV measurement of turbulent flow and the masked correlation-based interrogation algorithm , 2001 .

[15]  Liangzhu Wang,et al.  Ventilation performance prediction for buildings: Model assessment , 2010 .

[16]  Markus Raffel,et al.  Particle Image Velocimetry: A Practical Guide , 2002 .

[17]  Yuanhui Zhang,et al.  Evaluating RNG k-ε models using PIV data for airflow in animal buildings at different ventilation rates , 2007 .

[18]  M. L. Riethmuller,et al.  Confidence estimation using dependent circular block bootstrapping: application to the statistical analysis of PIV measurements , 2008 .

[19]  I. Grant Particle image velocimetry: A review , 1997 .

[20]  Ilinca Nastase,et al.  Lobed grilles for high mixing ventilation An experimental analysis in a full scale model room , 2011 .

[21]  Mohammad H. Hosni,et al.  Comparison of Large Eddy Simulation Predictions with Particle Image Velocimetry Data for the Airflow in a Generic Cabin Model , 2006 .

[22]  Qingyan Chen,et al.  Flow and contaminant transport in an airliner cabin induced by a moving body: Model experiments and CFD predictions , 2010 .

[23]  Jeong Tai Kim,et al.  Energy Benefit of the Underfloor Air Distribution System for Reducing Air-Conditioning and Heating Loads in Buildings , 2012 .

[24]  Qingyan Chen,et al.  Assessment of Various Turbulence Models for Transitional Flows in an Enclosed Environment (RP-1271) , 2009 .

[25]  Mats Sandberg,et al.  Whole-Field Measuring Methods in Ventilated Rooms , 2007 .

[26]  E. Nino,et al.  Submerged rectangular air jets as a particulate barrier , 2011 .

[27]  Christian Resagk,et al.  Investigation of large-scale circulations in room air flows using three-dimensional particle tracking velocimetry , 2010 .

[28]  Shinsuke Kato,et al.  Measurement of airflow of air-conditioning in a car with PIV , 2009, J. Vis..

[29]  Jarek Kurnitski,et al.  PIV measurement of the attached plane jet velocity field at a high turbulence intensity level in a room , 2010 .

[30]  V. Jaunet,et al.  2 D Least Squares Matching applied to PIV Challenge data ( Part 1 ) , 2012 .

[31]  Mark N. Glauser,et al.  On Particle Image Velocimetry (PIV) measurements in the breathing zone of a thermal breathing manikin , 2005 .

[32]  D. Hart,et al.  PIV error correction , 2000 .

[33]  Assaad Zoughaib,et al.  Modeling natural convection in a pitched thermosyphon system in building roofs and experimental validation using particle image velocimetry , 2010 .

[34]  M. P. Wan,et al.  Modeling the Fate of Expiratory Aerosols and the Associated Infection Risk in an Aircraft Cabin Environment , 2009 .

[35]  Jürgen Kompenhans,et al.  Generation and Control of Particle size distributions for Optical Velocity Measurement Techniques in Fluid Mechanics , 2001 .

[36]  Derek Dunn-Rankin,et al.  Measurement and prediction of indoor air flow in a model room , 2003 .

[37]  Yuanhui Zhang,et al.  Evaluation of RNG κ-ε and LES non-isothermal models for indoor airflow using PIV measurement data , 2007 .

[38]  Manuel Gameiro da Silva,et al.  Accuracy Limitations for Low-Velocity Measurements and Draft Assessment in Rooms , 2007 .

[39]  S. Kato,et al.  Study on transport characteristics of saliva droplets produced by coughing in a calm indoor environment , 2006 .

[40]  B. Olesen,et al.  Air distribution and ventilation effectiveness in an occupied room heated by warm air , 2012 .

[41]  Angui Li,et al.  Experimental analysis on the air distribution of powerhouse of Hohhot hydropower station with 2D-PIV , 2010 .

[42]  Raf Theunissen,et al.  Spatially adaptive PIV interrogation based on data ensemble , 2010 .

[43]  Dilek Kumlutaş,et al.  Investigation of flow and heat transfer for a split air conditioner indoor unit , 2013 .

[44]  O. Uzol,et al.  THE EFFECT OF SAMPLE SIZE , TURBULENCE INTENSITY AND THE VELOCITY FIELD ON THE EXPERIMENTAL ACCURACY OF ENSEMBLE AVERAGED PIV MEASUREMENTS , 2001 .

[45]  Mattheos Santamouris,et al.  Experimental performance investigation of natural, mechanical and hybrid ventilation in urban environment , 2008 .

[46]  J. Westerweel Theoretical analysis of the measurement precision in particle image velocimetry , 2000 .

[47]  Matthias Kühn,et al.  Large scale particle image velocimetry with helium filled soap bubbles , 2009 .

[48]  Mats Sandberg,et al.  Experimental investigation and CFD analysis of cross-ventilated flow through single room detached house model , 2010 .

[49]  Frédéric Kuznik,et al.  Experimental and numerical study of a full scale ventilated enclosure : Comparison of four two equations closure turbulence models , 2007 .

[50]  Ilinca Nastase,et al.  Passive mixing control for innovative air diffusion terminal devices for buildings , 2010 .

[51]  Di Liu,et al.  Non-unique convection in a three-dimensional slot-vented cavity with opposed jets , 2010 .

[52]  Gary S. Settles,et al.  A Computational and Experimental Investigation of the Human Thermal Plume , 2005 .

[53]  Michel Stanislas,et al.  Main results of the Second International PIV Challenge , 2005 .

[54]  Ilinca Nastase,et al.  A comparison of three turbulence models for the prediction of parallel lobed jets in perforated panel optimization , 2011 .

[55]  T. Nonn,et al.  Generation and visualization of volumetric PIV data fields , 2011 .

[56]  Sang Joon Lee,et al.  Improvement of natural ventilation in a large factory building using a louver ventilator , 2008 .

[57]  Vanessa Egan,et al.  A statistical analysis for time-averaged turbulent and fluctuating flow fields using Particle Image Velocimetry , 2012 .

[58]  Yuanhui Zhang,et al.  Experimental study of ventilation effectiveness and air velocity distribution in an aircraft cabin mockup , 2008 .

[59]  Dominique Marchio,et al.  Full scale experimental study of single-sided ventilation: Analysis of stack and wind effects , 2011 .

[60]  Rolf-Rainer Grigat,et al.  Segmentation and classification of streaks in a large-scale particle streak tracking system , 2010 .

[61]  Cristina Sanjuan,et al.  Experimental analysis of natural convection in open joint ventilated faades with 2D PIV , 2011 .

[62]  Christoph Brücker,et al.  Single-view volumetric PIV via high-resolution scanning, isotropic voxel restructuring and 3D least-squares matching (3D-LSM) , 2013 .

[63]  C. Chao,et al.  Airflow and air temperature distribution in the occupied region of an underfloor ventilation system , 2004 .

[64]  S. Kato,et al.  Analysis of visitation frequency through particle tracking method based on LES and model experiment. , 2003, Indoor air.

[65]  F Meyers James Generation of Particles and Seeding , 1991 .

[66]  Jürgen Kompenhans,et al.  Particle Image Velocimetry - A Practical Guide (2nd Edition) , 2007 .

[67]  M. P. Wan,et al.  Experimental Study of Dispersion and Deposition of Expiratory Aerosols in Aircraft Cabins and Impact on Infectious Disease Transmission , 2009 .

[68]  Matthias Kühn,et al.  Large-scale tomographic particle image velocimetry using helium-filled soap bubbles , 2011 .

[69]  Mark N. Glauser,et al.  Anisotropy in the breathing zone of a thermal manikin , 2008 .

[70]  Russell W. Wiener,et al.  Experimental and theoretical investigation of particle-laden airflow under a prosthetic mechanical foot in motion , 2010 .

[71]  R. Adrian Twenty years of particle image velocimetry , 2005 .

[72]  Sang Joon Lee,et al.  Large-scale PIV measurements of ventilation flow inside the passenger compartment of a real car , 2011, J. Vis..

[73]  Michel Stanislas,et al.  REVIEW ARTICLE: Main results of the First International PIV Challenge , 2003 .

[74]  J. Westerweel,et al.  Universal outlier detection for PIV data , 2005 .

[75]  D. Dabiri Digital particle image thermometry/velocimetry: a review , 2009 .

[76]  Qingyan Chen,et al.  A Procedure for Verification, Validation, and Reporting of Indoor Environment CFD Analyses , 2002 .

[77]  Markus Raffel,et al.  Experimental and numerical simulations of turbulent ventilation in aircraft cabins , 2006 .

[78]  Lone Hedegaard Mortensen,et al.  Investigation of airflow patterns in a microclimate by particle image velocimetry (PIV) , 2008 .

[79]  Mats Sandberg,et al.  Buoyant jet in a ventilated room: Velocity field, temperature field and airflow patterns analysed with three different whole-field methods , 2009 .

[80]  U. Ullum,et al.  Statistical analysis and accuracy of PIV data , 1998 .

[81]  Claus Wagner,et al.  Experimental and numerical simulations of idealized aircraft cabin flows , 2006 .

[82]  Michel Havet,et al.  Influence of external perturbations on a minienvironment: experimental investigations , 2004 .

[83]  D. R. Marr,et al.  Length Scale Propagation Along a Joint Inlet and Thermal Buoyancy Driven Flow , 2006 .

[84]  Eduardo Blanco,et al.  Development and experimental validation of a simulation model for open joint ventilated façades , 2011 .

[85]  Qingyan Chen,et al.  Ventilation performance prediction for buildings: A method overview and recent applications , 2009 .

[86]  Knud Erik Meyer,et al.  POD analysis of flow structures in a scale model of a ventilated room , 2002 .

[87]  Michel Stanislas,et al.  Main results of the third international PIV Challenge , 2008 .

[88]  Matthias Kühn,et al.  Experimental parametric study of forced and mixed convection in a passenger aircraft cabin mock-up , 2009 .

[89]  Bahram Moshfegh,et al.  Numerical predictions of indoor climate in large industrial premises. A comparison between different k–ε models supported by field measurements , 2007 .

[90]  Qingpu Wang,et al.  Comparison of c-Nd:YVO4/YVO4 raman lasers and c-Nd:YVO4 self-Raman lasers , 2012 .

[91]  Gerald L. Riskowski,et al.  Analysis of airflow in a full-scale room with non-isothermal jet ventilation using PTV techniques. , 2007 .

[92]  Andreas K. Athienitis,et al.  Airflow assessment in cross-ventilated buildings with operable façade elements , 2011 .

[93]  Yuanhui Zhang,et al.  An algorithm of stereoscopic particle image velocimetry for full-scale room airflow studies , 2004 .

[94]  Pentti Saarenrinne,et al.  Experiences of turbulence measurement with PIV , 2001 .

[95]  Pascal Henry Biwole,et al.  A complete 3D particle tracking algorithm and its applications to the indoor airflow study , 2009 .

[96]  Olli Seppänen,et al.  Particle Image Velocimetry (PIV) application in the measurement of indoor air distribution by an active chilled beam , 2010 .

[97]  Yigang Sun,et al.  An Overview of Room Air Motion Measurement: Technology and Application , 2007 .

[98]  Jelena Srebric,et al.  CFD boundary conditions for contaminant dispersion, heat transfer and airflow simulations around human occupants in indoor environments , 2008 .