Formal calibration methodology for CFD models of naturally ventilated indoor environments

The authors thank Higher Education Authority for the financial support of this research as part of the NEMBES project. The NEMBES project allows for collaboration between the following institutions: Cork Institute of Technology, University College Cork, National University of Ireland Galway, Trinity College Dublin and University College Dublin. The authors would also like to acknowledge the support of Science Foundation Ireland in funding the National Access Program at the Tyndall National Institute and Enterprise Ireland, which have funded aspects of this work.

[1]  P. Roache.  Perspective: A Method for Uniform Reporting of Grid Refinement Studies , 1994 .

[2]  Leonard E. Schwer,et al.  An overview of the PTC 60/V&V 10: guide for verification and validation in computational solid mechanics , 2007, Engineering with Computers.

[3]  Luis Pérez-Lombard,et al.  A review on buildings energy consumption information , 2008 .

[4]  Donal Finn,et al.  Sensitivity of air change rates in a naturally ventilated atrium space subject to variations in external wind speed and direction , 2008 .

[5]  Timothy G. Trucano,et al.  Verification and Validation in Computational Fluid Dynamics , 2002 .

[6]  Nikos Nikolopoulos,et al.  Characterization and prediction of the volume flow rate aerating a cross ventilated building by means of experimental techniques and numerical approaches , 2011 .

[7]  Zhiqiang John Zhai,et al.  Sensitivity analysis and application guides for integrated building energy and CFD simulation , 2006 .

[8]  D. Pelletier,et al.  Verification, validation, and uncertainty in computational fluids dynamicsThis article is one of a selection of papers published in this Special Issue on Hydrotechnical Engineering. , 2010 .

[9]  Bje Bert Blocken,et al.  On the effect of wind direction and urban surroundings on natural ventilation of a large semi-enclosed stadium , 2010 .

[10]  Zhao Zhang,et al.  Evaluation of Various Turbulence Models in Predicting Airflow and 1 Turbulence in Enclosed Environments by CFD : Part-1 : 2 Summary of Prevalent Turbulence Models 3 4 , 2007 .

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

[12]  Timothy G. Trucano,et al.  Verification and validation benchmarks , 2008 .

[13]  Brendan O'Flynn,et al.  A 3D miniaturised programmable transceiver , 2005 .

[14]  Leon R. Glicksman,et al.  Design analysis of single-sided natural ventilation , 2003 .

[15]  Bje Bert Blocken,et al.  CFD simulation of cross-ventilation for a generic isolated building : impact of computational parameters , 2012 .

[16]  K. Visagavel,et al.  Analysis of single side ventilated and cross ventilated rooms by varying the width of the window opening using CFD , 2009 .

[17]  S. Gendelis,et al.  Numerical Modelling of Airflow and Temperature Distribution in a Living Room with Different Heat Exchange Conditions , 2010 .

[18]  Tridib Kumar Goswami,et al.  CFD simulation of effects of operating parameters and product on heat transfer and moisture loss in the stack of bagged potatoes , 2007 .

[19]  Yogendra Joshi,et al.  Reduced order modeling and experimental validation of steady turbulent convection in connected domains , 2008 .

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

[21]  Shafqat Hussain,et al.  Evaluation of various turbulence models for the prediction of the airflow and temperature distributions in atria , 2012 .

[22]  Zhiqiang Zhai,et al.  Application of Computational Fluid Dynamics in Building Design: Aspects and Trends , 2006 .

[23]  Arsen Krikor Melikov,et al.  Impact of personal factors and furniture arrangement on the thermal plume above a sitting occupant , 2012 .

[24]  Qingyan Zhai,et al.  The use of Computational Fluid Dynamics tools for indoor environmental design , 2004 .

[25]  Peter V. Nielsen,et al.  Application of Computer Simulated Persons in Indoor Environmental Modeling , 2002 .

[26]  Yi Jiang,et al.  Study of natural ventilation in buildings with large eddy simulation , 2001 .

[27]  Refrigerating.  ASHRAE handbook of fundamentals , 1967 .

[28]  J. Rambo,et al.  Reduced-Order Modeling of Multiscale Turbulent Convection: Application to Data Center Thermal Management , 2006 .

[29]  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 .

[30]  Hazim B. Awbi,et al.  Effect of internal partitioning on indoor air quality of rooms with mixing ventilation—basic study , 2004 .

[31]  Peter V. Nielsen,et al.  Influence of Geometry of Thermal Manikins on Concentration Distribution and Personal Exposure , 2003 .

[32]  G. Evola,et al.  Computational analysis of wind driven natural ventilation in buildings , 2006 .

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

[34]  Jung-Hua Chou,et al.  Evaluation of buoyancy-driven ventilation in atrium buildings using computational fluid dynamics and reduced-scale air model , 2009 .

[35]  Nuran Bradley,et al.  The Response Surface Methodology , 2007 .

[36]  Standard Ashrae.  Thermal Environmental Conditions for Human Occupancy , 1992 .

[37]  Samir S. Ayad,et al.  Computational study of natural ventilation , 1999 .