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Tytuł artykułu

A CFD analysis of different human breathing models and its influence on spatial distribution of indoor air parameters

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The computational fluid dynamics (CFD) analysis of the indoor environment in buildings requires numerical modelling of a human being (computer simulated person – CSP). There are two crucial aspects in developing reliable CSP models: the CSP geometry and the breathing model. This paper focuses on the analysis of different breathing models for application in the CFD modelling. Three breathing models were analysed: first model was restricted to constant exhalation, second model, the so-called full breathing, included constant rate inhalation, constant rate exhalation and pause period, and in the third model temporal variation of flow rate was represented by sinusoidal function. The main findings from this work show that all three models compared with experimental data gave reliable results. The spatial distribution of CO2 concentration and velocity showed only small differences among the models in the vicinity of the mouth and above the person. It was shown that a simplified constant exhalation model can be effectively used for the CFD analysis of the indoor air quality (IAQ). However, a detailed simulation of micro-environment in the room and transport of contaminants should include complete breathing.
Rocznik
Strony
213--227
Opis fizyczny
Bibliogr. 31 poz., rys., wykr.
Twórcy
autor
  • Department of Heating, Ventilation and Dust Removal Silesian University of Technology Konarskiego 22, 44-100 Gliwice, Poland
autor
  • Institute of Thermal Technology Silesian University of Technology Konarskiego 18, 44-100 Gliwice, Poland
Bibliografia
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  • [4] G. Beko, T. Lund, F. Nors, J. Toftum, G. Clausen. Ventilation rates in the bedrooms of 500 Danish children. Building and Environment, 45(10): 2289–2295, 2010.
  • [5] Z.D. Bolashikov, A.K. Melikov, W. Kierat, Z. Popiolek. M. Brand. Exposure of health care workers and occupants to coughed airborne pathogens in a double-bed hospital patient room with overhead mixing ventilation. Hvac&R Research, 18(4): 602–615, 2012.
  • [6] A. Bulińska, Z. Popiołek, Z. Buliński. Experimentally validated CFD analysis on sampling region determination of average indoor carbon dioxide concentration in occupied space. Building and Environment, 72: 319–331, 2014.
  • [7] C. Chen, C.H. Lin, Z. Jiang, Q. Chen. Simplified models for exhaled airflow from a cough with the mouth covered. Indoor Air, 24(6): 580–591, 2014.
  • [8] M. Deevy, N. Gobeau. CFD modelling of benchmark test cases for flow around a computer simulated person. HSL/2006/51: Health and Safety Laboratory, Buxton, UK, 2006.
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  • [12] N.P. Gao, J.L. Niu. CFD study of the thermal environment around a human body: a review. Indoor and Built Environment, 14(1): 5–16, 2005.
  • [13] J.K. Gupta, C.H. Lin, Q. Chen. Characterizing exhaled airflow from breathing and talking. Indoor Air, 20(1): 31–39, 2010.
  • [14] J.K. Gupta, C.H. Lin, Q. Chen. Flow dynamics and characterization of a cough. Indoor Air, 19(6): 517–525, 2009.
  • [15] T. Hayashi, Y. Ishizu, S. Kato, S. Murakami. CFD analysis on characteristics of contaminated indoor air ventilation and its application in the evaluation of the effects of contaminant inhalation by a human occupant. Building and Environment, 37(3): 219–230, 2002.
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  • [17] E.C. Hyldgaard. Humans as a source of heat and air pollution. [In:] 4th International Conference on Air Distribution in Rooms, S. Mierzwinski [Ed.]. Roomvent 1994, pp. 413–433, Kraków, Poland, 1994.
  • [18] X. Li, K. Inthavong, Q. Ge, J. Tu. Numerical investigation of particle transport and inhalation using standing thermal manikins. Building and Environment, 60: 116–125, 2013.
  • [19] X. Li, Y. Yan, J. Tu. The simplification of computer simulated persons (CSPs) in CFD models of occupied indoor spaces. Building and Environment, 93: 155–164, 2015.
  • [20] N. Mahyuddin, H. Awbi. The spatial distribution of carbon dioxide in an environmental test chamber. Building and Environment, 45(9): 1993–2001, 2010.
  • [21] A. Melikov, J. Kaczmarczyk. Influence of geometry of thermal manikins on concentration distribution and personal exposure. Indoor Air, 17(1), 50–59, 2007.
  • [22] S. Murakami. Analysis and design of micro-climate around the human body with respiration by CFD. Indoor Air, 14: 144–156, 2004.
  • [23] I. Olmedo, P.V. Nielsen, M.R. de Adana, R.L. Jensen, P. Grzelecki. Distribution of exhaled contaminants and personal exposure in a room using three different air distribution strategies. Indoor Air, 22(1): 64–76, 2012.
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  • [27] J.M. Villafruela, I. Olmedo, M. Ruiz de Adana, C. Mendez, P.V. Nielsen. CFD analysis of the human exhalation flow using different boundary conditions and ventilation strategies. Building and Environment, 62: 191–200, 2013.
  • [28] P. Wargocki, N.A.F. Da Silva. Use of visual CO2 feedback as a retrofit solution for improving classroom air quality. Indoor Air, 25(1): 105–114, 2015.
  • [29] F.M. White. Fluid Mechanics. McGraw-Hill, 2008.
  • [30] C. Xu, P.V. Nielsen, G. Gong, R.L. Jensen, L. Liu. Influence of air stability and metabolic rate on exhaled flow. Indoor Air, 25(2): 198–209, 2015.
  • [31] C. Xu, P.V. Nielsen, G. Gong, L. Liu, R.L. Jensen. Measuring the exhaled
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-55566ef7-d415-4b8f-b34f-cb1b488c8c09
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