A model for calculating single-sided natural ventilation rate in an urban residential apartment

Abstract Natural ventilation is an energy-efficient ventilation method for residential buildings, but it is not easy to determine the natural ventilation rate. This investigation developed a simple model for calculating the ventilation rate for an apartment with single-sided natural ventilation with buoyancy and wind pressure effects, based on a wind-driven model. To validate the model, field measurements were conducted in an apartment in an urban residential building in Tianjin, China. The experiment measured indoor and outdoor air temperature, wind speed and direction, wind pressure coefficient at an opening of the apartment, and ventilation rate through the single opening. The results indicated that the wind pressure coefficients calculated by Eq.12 did not agree well with the measured data. However, most of the measurements show a stronger buoyancy effect than wind pressure effect. Our new model was able to predict the ventilation rate with an average error of 13.1%. When we used six other models found in the literature to predict the ventilation rate, the errors ranged from 12.9% to 46.1%. Thus, not only does our model perform very well in predicting the ventilation rate, but it also shown the interaction between buoyancy and wind pressure.

[1]  Zhiqiang Zhai,et al.  Review of natural ventilation models , 2015 .

[2]  Max H. Sherman,et al.  Comparison of Measured and Predicted Infiltration Using the LBL Infiltration Model , 1986 .

[3]  Francesco Fiorito,et al.  An Evolutionary Approach to Single-sided Ventilated Façade Design , 2017 .

[4]  Junjie Liu,et al.  Modeling and controlling indoor formaldehyde concentrations in apartments: On-site investigation in all climate zones of China , 2018 .

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

[6]  Huixing Li,et al.  Opening window issue of residential buildings in winter in north China: A case study in Shenyang , 2014 .

[7]  Yuguo Li,et al.  Buoyancy-driven natural ventilation in a thermally stratified one-zone building , 2000 .

[8]  Jiun-Jih Miau,et al.  Wind driven natural ventilation through multiple windows of a building: A computational approach , 2012 .

[9]  Xiaofeng Li,et al.  Predicting single-sided airflow rates based on primary school experimental study , 2016 .

[10]  Cheuk Ming Mak,et al.  Determination of single-sided ventilation rates in multistory buildings: Evaluation of methods , 2014 .

[11]  Zhang Hao,et al.  CFD simulations of wind distribution in an urban community with a full-scale geometrical model , 2017 .

[12]  Mats Sandberg,et al.  Effect of urban morphology on wind condition in idealized city models , 2009 .

[13]  Qingyan Chen,et al.  A new empirical model for predicting single-sided, wind-driven natural ventilation in buildings , 2012 .

[14]  Elena G. Dascalaki,et al.  ON THE USE OF DETERMINISTIC AND INTELLIGENT TECHNIQUES TO PREDICT THE AIR VELOCITY DISTRIBUTION ON EXTERNAL OPENINGS IN SINGLE-SIDED NATURAL VENTILATION CONFIGURATIONS , 1999 .

[15]  Yuguo Li,et al.  Experimental and numerical studies of flows through and within high-rise building arrays and their link to ventilation strategy , 2011 .

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

[17]  Mattheos Santamouris,et al.  On the combination of air velocity and flow measurements in single sided natural ventilation configurations , 1996 .

[18]  H. W. Tieleman,et al.  A comparison of wind-tunnel and full-scale wind pressure measurements on low-rise structures☆ , 1981 .

[19]  Per Heiselberg,et al.  Single-sided natural ventilation driven by wind pressure and temperature difference , 2008 .

[20]  Xiaoqing Zhou,et al.  Impacts of humidification process on indoor thermal comfort and air quality using portable ultrasonic humidifier , 2018 .

[21]  Dominique Marchio,et al.  Development of a new correlation for single-sided natural ventilation adapted to leeward conditions , 2013 .

[22]  Cheuk Ming Mak,et al.  On-site measurements of ventilation performance and indoor air quality in naturally ventilated high-rise residential buildings in Hong Kong , 2015 .

[23]  M. Sherman Tracer-gas techniques for measuring ventilation in a single zone , 1990 .

[24]  W. H. Ching,et al.  Natural ventilation for reducing airborne infection in hospitals , 2009, Building and Environment.

[25]  Yuhao Zhang,et al.  Experimental and numerical investigation on the distribution characteristics of wind pressure coefficient of airflow around enclosed and open-window buildings , 2016 .

[26]  Xiang Zhou,et al.  Indoor air pollutants, ventilation rate determinants and potential control strategies in Chinese dwellings: A literature review. , 2017, The Science of the total environment.

[27]  Dominique Marchio,et al.  CO2 tracer gas concentration decay method for measuring air change rate , 2015 .

[28]  S. Chandra,et al.  Correlations for pressure distribution on buildings and calculation of natural-ventilation airflow , 1988 .

[29]  J. Counihan Adiabatic atmospheric boundary layers: A review and analysis of data from the period 1880–1972 , 1975 .

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

[31]  Shugang Wang,et al.  Assessment of single-sided natural ventilation driven by buoyancy forces through variable window configurations , 2017 .

[32]  Xu Zhang,et al.  Evaluation method of natural ventilation system based on thermal comfort in China , 2009 .

[33]  Bert Blocken,et al.  Coupled urban wind flow and indoor natural ventilation modelling on a high-resolution grid: A case study for the Amsterdam ArenA stadium , 2010, Environ. Model. Softw..

[34]  P. R. Warren,et al.  Window-opening behaviour in office buildings , 1984 .