Modelling of Egyptian low-cost-housing natural ventilation: Integration of geometry, orientation and street width optimization

Abstract Starting from year 1995, 50 thousand low-cost housing units were been proposed to be built In Egypt by 2020 to overcome housing problems, only 60% have been already implemented. Three prototypes are amongst the most frequently built ones by the Egyptian government. In this research, these prototypes have been subject to natural ventilation modelling optimization based on three parameters which are geometry, orientation and the ratio between height and street width H/W using computational fluid dynamics (CFD) standard steady-state K-epsilon turbulence model and standard near wall function by adopting de-coupled approach. This approach indicates that the study is conducted in two levels: Firstly, the resulted pressure values on both sides of each prototype (the windward and the leeward walls) are measured numerically. Secondly, airflow rates inside buildings are calculated using Bernoulli equation. Results have been compared to each prototype's natural-ventilation requirements. In-situ measurements have been conducted to ensure adequate accuracy of calculations. Results of the study showed that further modifications have to be considered in the future configurations of these buildings.

[1]  Hazim B. Awbi,et al.  Design considerations for naturally ventilated buildings , 1994 .

[2]  M. Sandberg,et al.  Building Ventilation: Theory and Measurement , 1996 .

[3]  Mat Santamouris Energy in the Urban Built Environment: The Role of Natural Ventilation , 2012 .

[4]  Bje Bert Blocken,et al.  On CFD simulation of wind-induced airflow in narrow ventilated facade cavities: coupled and decoupled simulations and modelling limitations , 2010 .

[5]  Qingyan Chen,et al.  Natural Ventilation in Buildings: Measurement in a Wind Tunnel and Numerical Simulation with Large Eddy Simulation , 2003 .

[6]  Takashi Maruyama Optimization of roughness parameters for staggered arrayed cubic blocks using experimental data , 1993 .

[7]  C. Dimitroulopoulou Ventilation in European dwellings: A review , 2012 .

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

[9]  Tamer Gado,et al.  Application of computer-based environmental assessment and optimization tools: an approach for appropriating buildings , 2006 .

[10]  B. Launder,et al.  Lectures in mathematical models of turbulence , 1972 .

[11]  P Heiselberg,et al.  Experimental and CFD evidence of multiple solutions in a naturally ventilated building. , 2004, Indoor air.

[12]  Hiroshi Yoshino,et al.  Optimization of Tree Canopy Model for CFD Prediction of Wind Environment at Pedestrian Level , 2006 .

[13]  Edward Ng,et al.  Large-eddy simulations of ventilation for thermal comfort — A parametric study of generic urban configurations with perpendicular approaching winds , 2017 .

[14]  Ming Gu,et al.  Numerical simulations of wind pressures on buildings in staggered arrangement , 2006 .

[15]  T. Stathopoulos,et al.  CFD simulation of the atmospheric boundary layer: wall function problems , 2007 .

[16]  Christopher Baker,et al.  Experimental measurements and computations of the wind-induced ventilation of a cubic structure , 2000 .

[17]  Jiri Blazek,et al.  Computational Fluid Dynamics: Principles and Applications , 2001 .

[18]  B. Maiheu,et al.  UrbClim – A fast urban boundary layer climate model , 2015 .

[19]  D. Asimakopoulos Energy and Climate in the Urban Built Environment , 2001 .

[20]  Shabana,et al.  Housing valuation of different towns using the hedonic model: A case of Faisalabad city, Pakistan , 2015 .

[21]  Bert Blocken,et al.  CFD simulation for pedestrian wind comfort and wind safety in urban areas: General decision framework and case study for the Eindhoven University campus , 2012, Environ. Model. Softw..

[22]  H. Awbi Ventilation of buildings , 1873 .

[23]  Bert Blocken,et al.  CFD evaluation of wind speed conditions in passages between parallel buildings : effect of wall-function roughness modifications for the atmospheric boundary layer flow , 2007 .

[24]  Gary R. Hunt,et al.  Ventilation effectiveness measures based on heat removal: Part 2. Application to natural ventilation flows , 2007 .

[25]  B. Launder,et al.  The numerical computation of turbulent flows , 1990 .

[26]  Shamoon Jamshed,et al.  Using HPC for Computational Fluid Dynamics: A Guide to High Performance Computing for CFD Engineers , 2015 .

[27]  M. Osman Evaluating and enhancing design for natural ventilation in walk-up public housing blocks in the Egyptian desert climatic design region , 2011 .

[28]  Ghaffar Ali,et al.  How effectively low carbon society development models contribute to climate change mitigation and adaptation action plans in Asia , 2013 .

[29]  L. Norford,et al.  The urban weather generator , 2013 .

[30]  T. Oke The energetic basis of the urban heat island , 1982 .

[31]  Janet F. Barlow,et al.  Progress in observing and modelling the urban boundary layer , 2014 .

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

[33]  G. Henze,et al.  Improved airflow around multiple rows of buildings in hot arid climates , 2010 .

[34]  Bje Bert Blocken,et al.  CFD simulation of cross-ventilation flow for different isolated building configurations: validation with wind tunnel measurements and analysis of physical and numerical diffusion effects , 2012 .

[35]  Vice President,et al.  AMERICAN SOCIETY OF HEATING, REFRIGERATION AND AIR CONDITIONING ENGINEERS INC. , 2007 .

[36]  Rainer Nordberg Building sustainable cities , 1999 .

[37]  Alan G. Davenport,et al.  Rationale for Determining Design Wind Velocities , 1960 .

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

[39]  H Hamid Montazeri,et al.  CFD simulation of wind-induced pressure coefficients on buildings with and without balconies: Validation and sensitivity analysis , 2013 .

[40]  Jiyuan Tu,et al.  Computational Fluid Dynamics: A Practical Approach , 2007 .

[41]  Omar S. Asfour,et al.  Effect of housing density on energy efficiency of buildings located in hot climates , 2015 .

[42]  Bje Bert Blocken,et al.  CFD evaluation of natural ventilation of indoor environments by the concentration decay method: CO2 gas dispersion from a semi-enclosed stadium , 2013 .

[43]  B. Der-Petrossian Conflicts between the construction industry and the environment , 1999 .

[44]  Omar S. Asfour,et al.  Prediction of wind environment in different grouping patterns of housing blocks , 2010 .

[45]  Hassan Ali,et al.  Utilization of rice husk and poultry wastes for renewable energy potential in Pakistan: An economic perspective , 2016 .

[46]  Leslie K. Norford,et al.  Computationally efficient prediction of canopy level urban air temperature at the neighbourhood scale , 2014 .

[47]  T. Gado,et al.  Investigating Natural Ventilation Inside Walk-Up Housing Blocks in the Egyptian Desert Climatic Design Region , 2009 .

[48]  Drury B. Crawley,et al.  Estimating the impacts of climate change and urbanization on building performance , 2008 .

[49]  Alberto Martilli,et al.  Flow simulations for simplified urban configurations with microscale distributions of surface thermal forcing , 2014 .

[50]  W. Wongwit,et al.  Quantifying disease burden among climate refugees using multidisciplinary approach: A case of Dhaka, Bangladesh , 2014 .

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

[52]  Edward Ng,et al.  Practical application of CFD on environmentally sensitive architectural design at high density cities: A case study in Hong Kong , 2013, Urban Climate.

[53]  Akashi Mochida,et al.  Prediction of wind environment and thermal comfort at pedestrian level in urban area , 2006 .

[54]  Anh Tuan Nguyen,et al.  Passive designs and strategies for low-cost housing using simulation-based optimization and different thermal comfort criteria , 2014 .