International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749

Assessment of Indoor Air Quality in Buildings using CFD: A Brief Review

Venu Shree
Department of Architecture, National Institute of Technology Hamirpur, 177005, Himachal Pradesh, India.

Bhanu M. Marwaha
Department of Architecture, National Institute of Technology Hamirpur, 177005, Himachal Pradesh, India.

Pamita Awasthi
Department of Chemistry, National Institute of Technology Hamirpur, 177005, Himachal Pradesh, India.

DOI https://dx.doi.org/10.33889/IJMEMS.2019.4.5-091

Received on January 15, 2019
  ;
Accepted on June 01, 2019

Abstract

The building provides shelter to live and most people spend their 85-90% time indoors. Therefore, it is quite important to ensure that the condition of the indoor environment is healthy for its living being. There are a number of methods to evaluate indoor air pollution of built spaces by performing experiments or doing it computationally. In this study, a review of computational studies carried out to evaluate the impact of different parameters like airflow pattern, indoor and outdoor contaminant concentrations etc., on indoor air quality (IAQ) of different type of buildings was done. Some commonly used software’s for the study of IAQ were also discussed.

Keywords- Indoor air, Computation, Building, CFD.

Citation

Shree, V., Marwaha, B. M., & Awasthi, P. (2019). Assessment of Indoor Air Quality in Buildings using CFD: A Brief Review. International Journal of Mathematical, Engineering and Management Sciences, 4(5), 1154-1168. https://dx.doi.org/10.33889/IJMEMS.2019.4.5-091.

Conflict of Interest

The authors confirm that this article contents have no conflict of interest.

Acknowledgements

Authors wish to acknowledge the National Institute of Technology Hamirpur for providing all necessary facility to conduct research work.

References

Abanto, J., Barrero, D., Reggio, M., & Ozell, B. (2004). Airflow modelling in a computer room. Building and Environment, 39(12), 1393-1402.

Banerjee, A., Rai, A., & Mohanty, B. (2017). Simulation of combustion space heat transfer of glass melting furnace. Heat Transfer-Asian Research, 46(6), 569-584.

Barbosa, B.P.P., & Brum, N.D.C.L. (2018). Validation and assessment of the CFD-0 module of CONTAM software for airborne contaminant transport simulation in laboratory and hospital applications. Building and Environment, 142, 139-152.

Bartak, M., Beausoleil-Morrison, I., Clarke, J.A., Denev, J., Drkal, F., Lain, M., & Stankov, P. (2002). Integrating CFD and building simulation. Building and Environment, 37(8-9), 865-871.

Calogine, D., Boyer, H., Ndoumbe, S., Rivière, C., & Miranville, F. (2010). Identification of parameters in building concentration dispersion model. Indoor and Built Environment, 19(2), 250-266.

Chen, S., & Doolen, G.D. (1998). Lattice Boltzmann method for fluid flows. Annual Review of Fluid Mechanics, 30(1), 329-364.

Chiang, C.M., Lai, C.M., Chou, P.C., & Li, Y.Y. (2000). The influence of an architectural design alternative (transoms) on indoor air environment in conventional kitchens in Taiwan. Building and Environment, 35(7), 579-585.

Clarke, J.A. (2001). Energy simulation in building design. 2nd Ed. Butterworth Heinemann

Clarke, J.A., & Hensen, J.L.M. (2015). Integrated building performance simulation: Progress, prospects and requirements. Building and Environment, 91, 294-306.

Ding, L., & Lai, A.C.K. (2013). An efficient lattice Boltzmann model for indoor airflow and particle transport. Journal of Aerosol Science, 63, 10-24.

Dols, W.S., Emmerich, S.J., & Polidoro, B.J. (2016, August). Coupling the multizone airflow and contaminant transport software CONTAM with Energy Plus using co-simulation. In Building Simulation, (9(4), pp. 469-479). Tsinghua University Press.

Dols, W.S., Wang, L., Emmerich, S.J., & Polidoro, B.J. (2015). Development and application of an updated whole-building coupled thermal, airflow and contaminant transport simulation program (TRNSYS/CONTAM). Journal of Building Performance Simulation, 8(5), 326-337.

Duffy, M.J., Hiller, M., Bradley, D.E., Keilholz, W., & Thornton, J.W. (2009, July). TRNSYS-features and functionalitity for building simulation 2009 conference. In 11th International IBPSA Conference-Building Simulation, (pp. 1950-1954).

Fletcher, C.A.J., Mayer, I.F., Eghlimi, A., & Wee, K.H.A. (2001). CFD as a building services engineering tool. International Journal on Architectural Science, 2(3), 67-82.

Gan, G. (1995). Numerical investigation of local thermal discomfort in offices with displacement ventilation. Energy and Buildings, 23(2), 73-81.

Gao, J., Jian, Y., Cao, C., Chen, L., & Zhang, X. (2015). Indoor emission, dispersion and exposure of total particle-bound polycyclic aromatic hydrocarbons during cooking. Atmospheric Environment, 120, 191-199.

Hong, T., Chou, S.K., & Bong, T.Y. (2000). Building simulation: an overview of developments and information sources. Building and Environment, 35(4), 347-361.

Hong, T., Lee, M., & Kim, J. (2017). Analysis of energy consumption and indoor temperature distributions in educational facility based on CFD-BES model. Energy Procedia, 105, 3705-3710.

Jafari, S., Salmanzadeh, M., Rahnama, M., & Ahmadi, G. (2010). Investigation of particle dispersion and deposition in a channel with a square cylinder obstruction using the lattice Boltzmann method. Journal of Aerosol Science, 41(2), 198-206.

Jurelionis, A., & Seduikyte, L. (2008, May). Indoor environmental conditions in Lithuanian schools. In 7th International Conference on Environmental Engineering, Vienna, Austria.

Khan, M.A.I., Delbosc, N., Noakes, C.J., & Summers, J. (2015, August). Real-time flow simulation of indoor environments using lattice Boltzmann method. In Building Simulation, 8(4), pp. 405-414. Tsinghua University Press.

Kumar, R., & Kumar, A. (2017). Computational fluid dynamics based study for analyzing heat transfer and friction factor in semi-circular rib-roughened equilateral triangular duct. International Journal of Numerical Methods for Heat & Fluid Flow, 27(4), 941-957.

Kumar, R., Kumar, A., and Goel, V. (2019), Performance improvement and development of correlation for friction factor and heat transfer using computational fluid dynamics for ribbed triangular duct solar air heater. Renewable Energy, 131, 788-99.

Lai, A.C.K., & Ho, Y.W. (2008). Spatial concentration variation of cooking-emitted particles in a residential kitchen. Building and Environment, 43(5), 871-876.

Lim, K., & Lee, C. (2008). A numerical study on the characteristics of flow field, temperature and concentration distribution according to changing the shape of separation plate of kitchen hood system. Energy and Buildings, 40(2), 175-184.

Limb, M.J. (1997). Ventilation and acoustics: an annotated bibliography. Air Infiltration and Ventilation Centre, Great Britain

Liu, J., Heidarinejad, M., Pitchurov, G., Zhang, L., & Srebric, J. (2018). An extensive comparison of modified zero-equation, standard k-ε, and LES models in predicting urban airflow. Sustainable Cities and Society, 40, 28-43.

Magnussen, B.F., & Hjertager, B.H. (1977, January). On mathematical modeling of turbulent combustion with special emphasis on soot formation and combustion. In Symposium (International) on Combustion, 16(1), pp. 719-729, Elsevier.

Mu, Y.T., Chen, L., He, Y.L., & Tao, W.Q. (2015). Coupling finite volume and lattice Boltzmann methods for pore scale investigation on volatile organic compounds emission process. Building and Environment, 92, 236-245.

Nautiyal, H., Kumar, V., & Thakur, A. (2010). CFD analysis on pumps working as turbines. Hydro Nepal: Journal of Water, Energy and Environment, 6, 35-37.

Negrao, C.O. (1995). Conflation of computational fluid dynamics and building thermal simulation, (Doctoral dissertation, University of Strathclyde).

Nielsen, P.V. (1974). Flow in air-conditioned rooms. Ph. D Thesis, Technical University of Denmark.

NIST (2005), NISTIR 7251, CONTAM 2.4 User guide and program, National Institute of Standards and Technology, Gaithersburg.

Qian, Y.H., d'Humières, D., & Lallemand, P. (1992). Lattice BGK models for Navier-Stokes equation. EPL (Europhysics Letters), 17(6), 479.

Ruth, M., Maggio, J., Whelan, K., DeYoung, M., May, J., Peterson, A., & Paterson, K. (2013). Kitchen 2.0: Design guidance for healthier cooking environments. International Journal for Service Learning in Engineering, Humanitarian Engineering and Social Entrepreneurship, Special Edition, 151-169.

Sajjadi, H., Salmanzadeh, M., Ahmadi, G., & Jafari, S. (2016). Simulations of indoor airflow and particle dispersion and deposition by the lattice Boltzmann method using LES and RANS approaches. Building and Environment, 102, 1-12.

Shah, S., & Dufva, K. (2017). CFD modeling of airflow in a kitchen environment: towards improving energy efficiency in buildings. South-Eastern Finland University of Applied Sciences Mikkeli.

Song, J., & Meng, X. (2015). The improvement of ventilation design in school buildings using CFD simulation. Procedia Engineering, 121, 1475-1481.

Srebric, J., Yuan, J., & Novoselac, A. (2008). On-site experimental validation of a coupled multizone and CFD model for building contaminant transport simulations. Ashrae Transactions, 114(1), 273-281.

Stratford, K., & Pagonabarraga, I. (2008). Parallel simulation of particle suspensions with the lattice Boltzmann method. Computers & Mathematics with Applications, 55(7), 1585-1593.

Succi, S. (2001). The lattice Boltzmann equation: for fluid dynamics and beyond. Oxford University Press.

Sugahara, A., Kotani, H., Momoi, Y., Yamanaka, T., Sagara, K., & Fujiwara, R. (2017). PIV measurement and CFD analysis of airflow around building roof with various building installations. International Journal of Ventilation, 16(3), 163-173.

Teodosiu, R., Ilie, V., & Teodosiu, C. (2014), Computational fluid dynamics prediction of indoor air quality. In. Proc. of the Second Intl. Conf. on Advances in Civil, Structural and Environmental Engineering- ACSEE-2014, p. 26-30.

Tian, Z.F., Tu, J.Y., Yeoh, G.H., & Yuen, R.K.K. (2006). On the numerical study of contaminant particle concentration in indoor airflow. Building and Environment, 41(11), 1504-1514.

United Nations (2016), Department of economic and social affairs, population division. The World’s Cities in 2016-Data Booklet, (ST/ESA/ SER.A/392).

Wang, L., & Chen, Q. (2007a). Theoretical and numerical studies of coupling multizone and CFD models for building air distribution simulations. Indoor Air, 17(5), 348-361.

Wang, L., & Chen, Q. (2007b). Validation of a coupled multizone-CFD program for building airflow and contaminant transport simulations. HVAC & R Research, 13(2), 267-281.

Wang, L., & Chen, Q. (2008). Applications of a coupled multizone-CFD model to calculate airflow and contaminant dispersion in built environments for emergency management. HVAC & R Research, 14(6), 925-939.

Wang, L.L., & Emmerich, S.J. (2010, March). Modeling the effects of outdoor gasoline powered generator use on indoor carbon monoxide exposures. In Building Simulation, 3(1), pp. 39-50. Tsinghua Press.

Wang, Y., Kuckelkorn, J., Zhao, F.Y., Spliethoff, H., & Lang, W. (2017). A state of art of review on interactions between energy performance and indoor environment quality in passive house buildings. Renewable and Sustainable Energy Reviews, 72, 1303-1319.

Zhai, Z.J., & Chen, Q.Y. (2005). Performance of coupled building energy and CFD simulations. Energy and Buildings, 37(4), 333-344.

Zhou, J., & Kim, C.N. (2011). Numerical investigation of indoor CO2 concentration distribution in an apartment. Indoor and Built Environment, 20(1), 91-100.

Zhuang, R., Li, X., & Tu, J. (2014, June). CFD study of the effects of furniture layout on indoor air quality under typical office ventilation schemes. In Building Simulation, 7(3), pp. 263-275. Springer Berlin Heidelberg.

Privacy Policy| Terms & Conditions