State-space model for airborne particles in multizone indoor environments

A state-space model is presented to predict the concentration and the fate of particulate matters (PM) in multizone indoor air. By introducing vector-matrix notation, the ordinary differential equations to describe the dynamic behavior of PM in multizone buildings are expressed as the state equation. The state equation is solved analytically and the dynamical evolution of PM is discussed quantitatively and qualitatively. The equilibrium point of the dynamic system is asymptotically stable. The minimum decay coefficient of PM concentrations is computed by the formula, which is found to directly link the minimum decay rate with the eigenvalues of the state matrix. The analytical solution based on the eigen structure shows that the evolution modes of indoor PM are mainly determined by the eigenvalues of state matrix. The detailed quantitative analysis on the diluted ventilation and interzonal transport via the central air-conditioning system indicates that the penetration efficiency of filter Pi and the integrated loss-rate coefficient kij integrating the remove mechanisms of natural ventilation, leakage and particle deposition have significant impact on dynamical behaviors of particles, such as the decay rate of concentrations and the ability of interzonal infection via HVAC system, etc.

[1]  A. Peters,et al.  Respiratory effects are associated with the number of ultrafine particles. , 1997, American journal of respiratory and critical care medicine.

[2]  L Morawska,et al.  Relation between indoor and outdoor exposure to fine particles near a busy arterial road. , 1999, Indoor air.

[3]  K S Lam,et al.  Achieving 'excellent' indoor air quality in commercial offices equipped with air-handling unit--respirable suspended particulate. , 2006, Indoor air.

[4]  W. Rugh Linear System Theory , 1992 .

[5]  M. Brauer,et al.  Assessment of indoor fine aerosol contributions from environmental tobacco smoke and cooking with a portable nephelometer , 2000, Journal of Exposure Analysis and Environmental Epidemiology.

[6]  W. Nazaroff Indoor particle dynamics. , 2004, Indoor air.

[7]  Liisa Pirjola,et al.  Indoor air aerosol model: the effect of outdoor air, filtration and ventilation on indoor concentrations , 1999 .

[8]  Relationships between indoor and outdoor contaminants in mechanically ventilated buildings , 1996 .

[9]  H. Bloemen,et al.  Modeling Relationships between Indoor and Outdoor Air Quality , 2000, Journal of the Air & Waste Management Association.

[10]  L. E. Sparks,et al.  Penetration of Ambient Fine Particles into the Indoor Environment , 2001 .

[11]  L Morawska,et al.  Control strategies for sub-micrometer particles indoors: model study of air filtration and ventilation. , 2003, Indoor air.

[12]  J Pekkanen,et al.  Number concentration and size of particles in urban air: effects on spirometric lung function in adult asthmatic subjects. , 2001, Environmental health perspectives.

[13]  William W. Nazaroff,et al.  Mathematical Modeling of Indoor Aerosol Dynamics , 1989 .

[14]  Kaarle Hämeri,et al.  Indoor and outdoor particle size characterization at a family house in Espoo-Finland , 2005 .

[15]  Shelly L. Miller,et al.  Environmental tobacco smoke particles in multizone indoor environments , 2001 .

[16]  M. Sohn,et al.  Predicting size-resolved particle behavior in multizone buildings , 2007 .

[17]  A Seaton,et al.  Acute respiratory effects of particles: mass or number? , 2001, Occupational and environmental medicine.

[18]  Petros Koutrakis,et al.  Determining the infiltration of outdoor particles in the indoor environment using a dynamic model , 2006 .