Experimental characterization of full-scale naturally ventilated atrium and validation of CFD simulations

Abstract Natural ventilation is growing in popularity as a low-energy cooling strategy. Many buoyancy-driven naturally ventilated buildings rely on atria to provide a flow path through the building. The proper design of such atria relies on validated modeling techniques. Although a plethora of studies on such techniques exist, very few rely on full-scale experiments within an atrium for validation. Even fewer studies use a naturally ventilated atrium. This study uses a full-scale naturally ventilated atrium to validate three CFD turbulence models, RNG k – ɛ , k – ɛ , and LES, all of which are found to predict experimental temperatures with an RMSE below 1.2 °C. An airflow visualization technique utilizing neutrally buoyant helium bubbles is shown to be an effective method of visualizing the airflow and providing local air velocities through particle image velocimetry techniques. The LES model best predicts local velocities near the heat source. Due to an opposing wind at the roof exit, an unexpected bulk downward flow is observed through the atrium, suppressing the plume from the heat source. This downward flow highlights the necessity of using accurate modeling techniques and boundary conditions in atria design.

[1]  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 .

[2]  Gary R. Hunt,et al.  Fundamental atrium design for natural ventilation , 2003 .

[3]  Morad R. Atif,et al.  Comparison between computed and field measured thermal parameters in an atrium building , 1998 .

[4]  A. A. M. Sayigh Renewable energy, energy efficiency and the environment : World Renewable Energy Congress, 15-21 June 1996, Denver,Colorado, USA , 1996 .

[5]  Christine E. Walker,et al.  Methodology for the Evaluation of Natural Ventilation in Buildings Using a Reduced-Scale Air Model , 2006 .

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

[7]  F. Carrié,et al.  Thermal and ventilation modelling of large highly-glazed spaces , 2001 .

[8]  Saffa Riffat,et al.  CFD modelling of air flow and thermal performance of an atrium integrated with photovoltaics , 2004 .

[9]  Ashley K Turza Dense, low-power environmental monitoring for smart energy profiling , 2010 .

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

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

[12]  M.N.A. Saïd,et al.  Measurement of thermal stratification in large single-cell buildings , 1996 .

[13]  Hazim B. Awbi,et al.  Air movement in naturally-ventilated buildings , 1996 .

[14]  Leon R. Glicksman,et al.  Reduced-scale building model and numerical investigations to buoyancy-driven natural ventilation , 2011 .

[15]  Joseph A. Paradiso,et al.  Dense, low-power sensor network for three-dimensional thermal characterization of large-scale atria spaces , 2012, 2012 IEEE Sensors.

[16]  Denis Flick,et al.  Airflow patterns inside slotted obstacles in a ventilated enclosure , 2007 .

[17]  Panagiota Karava,et al.  Validation of computational fluid dynamics simulations for atria geometries , 2011 .

[18]  Cheng See Yuan,et al.  The Effect of Building Shape Modification on Wind Pressure Differences for Cross-Ventilation of a Low-Rise Building , 2007 .

[19]  Eleni Mouriki,et al.  Solar-assisted hybrid ventilation in an institutional building , 2009 .