Journal Home > Volume 7 , Issue 3

The relative freshness of indoor air in breathing zone can be measured by ventilation effectiveness. Numerous research articles in literature have investigated ventilation effectiveness under different ventilation schemes, different inlet/outlet positions, and different diffusor types. These researches seem to have a goal to find a solution to optimize ventilation effectiveness through manipulating ventilation system. In reality, however, the occupants of a rented office room have no right to manipulate the ventilation system; instead, they have to accept whatever rented to them. An important issue thus arises: how to improve ventilation effectiveness without changing ventilation system? This paper has built a CFD model about a typical office room, validated it by published experimental data in literature, and then applied it to twelve typical office situations/cases of different furniture layouts under different ventilation schemes. The simulation results of twelve cases show that furniture layout is an important factor in indoor airflow and temperature fields, and the quality of air in breathing zone can be significantly improved by adjusting furniture layout without making any change in ventilation system.


menu
Abstract
Full text
Outline
About this article

CFD study of the effects of furniture layout on indoor air quality under typical office ventilation schemes

Show Author's information Ruining Zhuang1Xiangdong Li1Jiyuan Tu1,2( )
School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, PO Box 71, Bundoora, VIC 3083, Australia
Department of Building Science, School of Architecture, Tsinghua University, PO Box 1021, Beijing 100084, China

Abstract

The relative freshness of indoor air in breathing zone can be measured by ventilation effectiveness. Numerous research articles in literature have investigated ventilation effectiveness under different ventilation schemes, different inlet/outlet positions, and different diffusor types. These researches seem to have a goal to find a solution to optimize ventilation effectiveness through manipulating ventilation system. In reality, however, the occupants of a rented office room have no right to manipulate the ventilation system; instead, they have to accept whatever rented to them. An important issue thus arises: how to improve ventilation effectiveness without changing ventilation system? This paper has built a CFD model about a typical office room, validated it by published experimental data in literature, and then applied it to twelve typical office situations/cases of different furniture layouts under different ventilation schemes. The simulation results of twelve cases show that furniture layout is an important factor in indoor airflow and temperature fields, and the quality of air in breathing zone can be significantly improved by adjusting furniture layout without making any change in ventilation system.

Keywords: indoor air quality, ventilation effectiveness, furniture layout, breathing zone, office CFD model

References(27)

J Austin, P Brimblecombe, W Sturges (2002). Air Pollution Science for the 21st Century. Amsterdam: Elsevier Science.
C Buratti, R Mariani, E Moretti (2011). Mean age of air in a naturally ventilated office: Experimental data and simulations. Energy and Buildings, 43: 2021-2027.
Q Chen (1995). Comparison of different k-ε models for indoor airflow computations. Numerical Heat Transfer, 28: 353-369.
KWD Cheong, E Djunaedy, TK Poh, KW Tham, SC Sekhar, NH Wong, MB Ullah (2003). Measurements and computations of contaminant's distribution in an office environment. Building and Environment, 38: 135-145.
KWD Cheong, SY Phua (2006). Development of ventilation design strategy for effective removal of pollutant in the isolation room of a hospital. Building and Environment, 41: 1161-1170.
CJ Coffey, GR Hunt (2007). Ventilation effectiveness measures based on heat removal: Part 1. Definitions. Building and Environment, 42: 2241-2248.
I Gee (2001). Monitoring indoor air pollution. Indoor and Built Environment, 10: 123-124.
B Halvonova, A Melikov (2010). Performance of “ductless” personalized ventilation in conjunction with displacement ventilation: Impact of intake height. Building Environment, 45: 996-1005.
KW Kim, S Kim, HJ Kim, JC Park (2010). Formaldehyde and TVOC emission behaviors according to finishing treatment with surface materials using 20 L chamber and FLEC. Journal of Hazardous Materials, 177: 90-94.
J Lau, Q Chen (2007). Floor-supply displacement ventilation for workshops. Building and Environment, 42: 1718-1730.
KS Lee, T Zhang, Z Jiang, Q Chen (2009). Comparison of airflow and contaminant distributions in rooms with traditional displacement ventilation and under-floor air distribution systems. ASHRAE Transactions, 115(2): 306-321.
R Li, S Sekhar, A Melikov (2010). Thermal comfort and IAQ assessment of under-floor air distribution system integrated with personalized ventilation in hot and humid climate. Building Environment, 45: 1906-1913.
X Li, D Li, X Yang, J Yang (2003). Total air age: An extension of the air age concept. Building and Environment, 38: 1263-1269.
X Li, B Zhao (2004). Accessibility: A new concept to evaluate ventilation performance in a finite period of time. Indoor and Built Environment, 13:287-293.
Z Lin, TT Chow, KF Fong, CF Tsang, Q Wang (2005). Comparison of performances of displacement and mixing ventilations. Part II: Indoor air quality. International Journal of Refrigeration, 28: 288-305.
Z Lin, F Jiang, TT Chow, CF Tsang, WZ Lu (2006). CFD analysis of ventilation effectiveness in a public transport interchange. Building and Environment, 41: 254-261.
LH Mortensen, C Rode, R Peuhkuri (2008). Investigation of airflow patterns in a microclimate by particle image velocimetry (PIV). Building and Environment, 43: 1929-1938.
ML Pereira, G Graudenz, A Tribess, L Morawska (2009). Determination of particle concentration in the breathing zone for four different types of office ventilation systems. Building and Environment, 44: 904-911.
D Rim, A Novoselac (2010). Ventilation effectiveness as an indicator of occupant exposure to particles from indoor sources. Building and Environment, 45: 1214-1224.
L Tian, Z Lin, Q Wang (2010). Comparison of gaseous contaminant diffusion under stratum ventilation and under displacement ventilation. Building and Environment, 45: 2035-2046.
J Xamán, J Tun, G Álvarez, Y Chávez, F Noh (2009). Optimum ventilation based on the overall ventilation effectiveness for temperature distribution in ventilated cavities. International Journal of Thermal Sciences, 48: 1574-1585.
H Xing, A Hatton, HB Awbi (2001). A study of the air quality in the breathing zone in a room with displacement ventilation. Building and Environment, 36: 809-820.
W Yang, J Sohn, J Kim, B Son, J Park (2009). Indoor air quality investigation according to age of the school buildings in Korea. Journal of Environmental Management, 90: 348-354.
Y Yin, W Xu, JK Gupta, A Guity, P Marmion, A Manning, B Gulick, X Zhang, Q Chen (2009). Experimental study on displacement and mixing ventilation systems for a patient ward. HVAC&R Research, 15: 1175-1191.
T Zhang, KS Lee, Q Chen (2009). A simplified approach to describe complex diffusers in displacement ventilation for CFD simulations. Indoor Air, 19: 255-267.
Y Zhang, X Li, X Wang, W Deng, K Qian (2006). Spatial flow influence factor: A novel concept for indoor air pollutant control. Science in China Series E-Engineering & Materials Science, 49: 115-128.
WAC Zoon, MGLC Loomans, JLM Hensen (2011). Testing the effectiveness of operating room ventilation with regard to removal of airborne bacteria. Building and Environment, 46: 2570-2577.
Publication history
Copyright
Acknowledgements

Publication history

Received: 22 January 2013
Revised: 30 April 2013
Accepted: 20 May 2013
Published: 17 September 2013
Issue date: June 2014

Copyright

© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2013

Acknowledgements

The financial supports provided by the Australian Research Council (project ID LP110100140), the National Natural Science Foundation of China (Grant No. 21277080) and RMIT Research Scholarship are gratefully acknowledged.

Return