Numerical Investigation of the Interaction between the Thermal and Dynamic Effects of Cross-Ventilation for a Generic Isolated Building

Article Preview

Abstract:

An efficient air ventilation requires knowledge of the complex interaction between the dynamic behavior and thermal parameters. For an isolated building the exact estimation of the interaction between the dynamics of cross-ventilation flow and a convective heat transfer, by overheating one of its internal walls, is an interest way to control the internal temperature’s distribution and the energy consumption of the ventilation system. The numerical simulation may provide an approximate solution to predict this kind of phenomenon. In this study, a numerical investigation of the thermal effect of a heated wall on a cross-ventilation for a generic isolated building with two parallel openings with a same dimension and at the same height is presented. The heat source is considered as solar radiation when it heats the exposed wall of the building. The wall temperature is assumed to be constant and homogeneous and it takes three values 25, 30 and 35°C. The highly three-dimensional flow is obtained by solving numerically the Reynolds averaged equations of mass, momentum and energy conservation for incompressible flow. The k-ω SST turbulent model is used to solve the turbulent quantities. The numerical results are validated by comparison of the horizontal component of velocity and the turbulent kinetic energy with the corresponding measurements. A detailed analysis of the interaction between the dynamic and thermal parameters is carried out and led to conclude that the distribution of the air temperature in the building is much influenced by the incoming fresh air jet. In its region the temperature difference between the air inside and outside the building is almost zero, however, below the jet region, characterized by air recirculation flow, the temperature takes its maximum value for the tree studies cases. Also, the thermal effects of air buoyancy may modify the dynamic behavior, especially at the building entrance, this modification is proportional to the wall temperature and it disappear after mid distance of the flow in the building.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

141-153

Citation:

Online since:

April 2021

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2021 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Van Hooff, T., Blocken, B., &Tominaga, Y. On the accuracy of CFD simulations of cross-ventilation flows for a generic isolated building: comparison of RANS, LES and experiments. Building and Environment, 2017. 148-165.

DOI: 10.1016/j.buildenv.2016.12.019

Google Scholar

[2] Kurabuchi, T., et al. Numerical study of airflow structure of a cross ventilated model building., Air distribution in rooms: ventilation for health and sustainable environment 2 (2000): 313.

Google Scholar

[3] Jiang, Yi, and Qingyan Chen. Effect of fluctuating wind direction on cross natural ventilation in buildings from large eddy simulation., Building and Environment 37.4 (2002): 379-386.

DOI: 10.1016/s0360-1323(01)00036-1

Google Scholar

[4] Teitel, M., et al. Effect of wind direction on greenhouse ventilation rate, airflow patterns and temperature distributions., Biosystems Engineering 101.3 (2008): 351-369.

DOI: 10.1016/j.biosystemseng.2008.09.004

Google Scholar

[5] Evola, Gianpiero, and Viktor Popov. Computational analysis of wind driven natural ventilation in buildings., Energy and buildings 38.5 (2006): 491-501.

DOI: 10.1016/j.enbuild.2005.08.008

Google Scholar

[6] Kato, Shinsuke, et al. Velocity-pressure field of cross ventilation with open windows analyzed by wind tunnel and numerical simulation., Journal of Wind Engineering and Industrial Aerodynamics 44.1-3 (1992): 2575-2586.

DOI: 10.1016/0167-6105(92)90049-g

Google Scholar

[8] Jiang, Yi, et al. Natural ventilation in buildings: measurement in a wind tunnel and numerical simulation with large-eddy simulation., Journal of Wind Engineering and Industrial Aerodynamics 91.3 (2003): 331-353.

DOI: 10.1016/s0167-6105(02)00380-x

Google Scholar

[9] Mistriotis, A., et al. Analysis of the efficiency of greenhouse ventilation using computational fluid dynamics., Agricultural and Forest Meteorology 85.3-4 (1997): 217-228.

DOI: 10.1016/s0168-1923(96)02400-8

Google Scholar

[10] Lee, I., et al. PIV verification of greenhouse ventilation air flows to evaluate CFD accuracy., Transactions of the ASAE 48.6 (2005): 2277-2288.

DOI: 10.13031/2013.20091

Google Scholar

[11] Kato, Shinsuke, et al. Velocity-pressure field of cross ventilation with open windows analyzed by wind tunnel and numerical simulation., Journal of Wind Engineering and Industrial Aerodynamics 44.1-3 (1992): 2575-2586.

DOI: 10.1016/0167-6105(92)90049-g

Google Scholar

[15] Tominaga, Y., &Blocken, B. Wind tunnel experiments on cross-ventilation flow of a generic building with contaminant dispersion in unsheltered and sheltered conditions. Building and Environment, (2015), 452-461.

DOI: 10.1016/j.buildenv.2015.05.026

Google Scholar

[16] Tominaga, Y., &Blocken, B. Wind tunnel analysis of flow and dispersion in cross-ventilated isolated buildings: Impact of opening positions. Journal of Wind Engineering and Industrial Aerodynamics, 155,(2016), 74-88.

DOI: 10.1016/j.jweia.2016.05.007

Google Scholar

[19] Shirzadi, Mohammadreza, YoshihideTominaga, and Parham A. Mirzaei. Wind tunnel experiments on cross-ventilation flow of a generic sheltered building in urban areas., Building and Environment 158 (2019): 60-72.

DOI: 10.1016/j.buildenv.2019.04.057

Google Scholar

[20] Kosutova, Katarina, et al. Cross-ventilation in a generic isolated building equipped with louvers: Wind-tunnel experiments and CFD simulations., Building and Environment 154 (2019): 263-280.

DOI: 10.1016/j.buildenv.2019.03.019

Google Scholar

[21] Ooi, Chinchun, et al. Porous media representation of louvers in building simulations for natural ventilation., Journal of Building Performance Simulation 12.4 (2019): 494-503.

DOI: 10.1080/19401493.2018.1510544

Google Scholar

[22] Arinami, Yuki, et al. Performance evaluation of single-sided natural ventilation for generic building using large-eddy simulations: Effect of guide vanes and adjacent obstacles., Building and Environment 154 (2019): 68-80.

DOI: 10.1016/j.buildenv.2019.01.021

Google Scholar

[25] Del Rio, Maria Alejandra, et al. Evaluation of passive cooling methods to improve microclimate for natural ventilation of a house during summer., Building and Environment 149 (2019): 275-287.

DOI: 10.1016/j.buildenv.2018.12.027

Google Scholar

[26] Sato, Keiko, et al. A Study on the Convective Heat Transfer Coefficient and Thermal Resistance of Clothing under Cross Ventilation., International Journal of Ventilation 10.2 (2011): 155-162.

DOI: 10.1080/14733315.2011.11683944

Google Scholar