Computational analysis of wind interactions for comparing different buildings sites in terms of natural ventilation

Abstract Nowadays building designers have to face up to new strategies to achieve the best sustainable building designs. Well planned natural ventilation strategies in building design may contribute to a significant reduction on building’s energy consumption. Natural ventilation strategies are conditioned to the particular location of each building. To improve natural ventilation performance of a building, the analysis of the influence of the location and the surrounding buildings on wind flow paths around the design building is a must. New computational tools such as Computational Fluid Dynamics (CFD) are particularly suited for modelling outdoor wind conditions and the influence on indoor air conditions prior to building construction. Hence, reliable methodologies are necessary to support building design decisions related to naturally ventilated buildings prior to construction. This paper presents a case study for the selection of the best future building location attending to natural ventilation behaviour inside the building, conditioned by different evolving environment. A validated CFD model is used to represent outdoor and indoor spaces. The methodology explains how to qualitatively and quantitatively analyze wind paths around and through a building to quantify the natural ventilation performance. The best location, from two real possible solutions, is then selected.

[1]  Zhang Guo-qiang,et al.  Potential model for single-sided naturally ventilated buildings in China , 2010 .

[2]  Jing Liu,et al.  Evaluation of various non-linear k–ɛ models for predicting wind flow around an isolated high-rise building within the surface boundary layer , 2012 .

[3]  Peter Richards,et al.  Appropriate boundary conditions for computational wind engineering models revisited , 2011 .

[4]  Joseph A. Paradiso,et al.  Experimental characterization of full-scale naturally ventilated atrium and validation of CFD simulations , 2014 .

[5]  Marcus M. Keane,et al.  Specifiation Of An IFC Based Software Application To Support CFD Simulation , 2006 .

[6]  Jon Wieringa,et al.  Updating the Davenport roughness classification , 1992 .

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

[8]  Wong Nyuk Hien,et al.  The impacts of ventilation strategies and facade on indoor thermal environment for naturally ventilated residential buildings in Singapore , 2007 .

[9]  Kevin J. Lomas,et al.  Architectural design of an advanced naturally ventilated building form , 2007 .

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

[11]  D. Grawe,et al.  BEST PRACTICE GUIDELINE FOR THE CFD SIMULATION OF FLOWS IN THE URBAN ENVIRONMENT , 2007 .

[12]  Yoshihide Tominaga,et al.  AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings , 2008 .

[13]  Michael Schatzmann,et al.  Recommendations on the use of CFD in wind engineering , 2004 .

[14]  P. Linden.  THE FLUID MECHANICS OF NATURAL VENTILATION , 1999 .

[15]  V. I. Hanby,et al.  CFD modelling of natural displacement ventilation in an enclosure connected to an atrium , 2007 .

[16]  Sylvain Robert,et al.  State of the art in building modelling and energy performances prediction: A review , 2013 .

[17]  Yuehong Su,et al.  A review on wind driven ventilation techniques , 2008 .

[18]  Bje Bert Blocken,et al.  A venturi-shaped roof for wind-induced natural ventilation of buildings: wind tunnel and CFD evaluation of different design configurations , 2011 .

[19]  Jörg Franke,et al.  The COST 732 Best Practice Guideline for CFD simulation of flows in the urban environment: a summary , 2011 .

[20]  P. Amparo López-Jiménez,et al.  Quantification of Ventilated Façade Effect Due to Convection in Buildings Buoyancy and Wind Driven Effect , 2014 .

[21]  Marcus M. Keane,et al.  Calibrated CFD simulation to evaluate thermal comfort in a highly-glazed naturally ventilated room , 2013 .

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

[23]  Joel H. Ferziger,et al.  Computational methods for fluid dynamics , 1996 .

[24]  Marcus M. Keane,et al.  Formal calibration methodology for CFD models of naturally ventilated indoor environments , 2013 .

[25]  Atila Novoselac,et al.  Cross ventilation with small openings: Measurements in a multi-zone test building , 2012 .

[26]  Pau Fonseca i Casas,et al.  Formal simulation model to optimize building sustainability , 2014, Adv. Eng. Softw..

[27]  Liang Ji,et al.  WIND TUNNEL INVESTIGATION ON INFLUENCE OF FLUCTUATING WIND DIRECTION ON CROSS NATURAL VENTILATION , 2011 .

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

[29]  Jianing Zhao,et al.  Estimating natural-ventilation potential considering both thermal comfort and IAQ issues , 2007 .

[30]  Andrew D.F. Price,et al.  Performance evaluation of natural ventilation strategies for hospital wards A case study of Great Ormond Street Hospital , 2012 .

[31]  Per Heiselberg,et al.  Analysis Methods for Natural and Hybrid Ventilation - a Critical Literature Review and Recent Developments , 2003 .

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

[33]  Theodore Stathopoulos,et al.  Achieving Natural and Hybrid Ventilation in Practice , 2006 .

[34]  Norhayati Mahyuddin,et al.  Thermal performance of atria: An overview of natural ventilation effective designs , 2014 .

[35]  C. Justus,et al.  Height variation of wind speed and wind distributions statistics , 1976 .

[36]  Robert F. Boehm,et al.  Passive building energy savings: A review of building envelope components , 2011 .