COMIS -- an international multizone air-flow and contaminant transport model

Feustel, H.E.

doi:10.2172/663549

Cited by 63 publications

(58 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the literature, there are some multi-zone indoor air quality computer programs developed to simulate contaminant transport in indoor environments, i.e. CONTAMW [32] and COMIS [33], apart from the research-orientated program developed to model multi-zone aerosol transport [34]. All of these programs assume uniform distribution of particles within each microenvironment and particles are transported by convective airflow only.…”

Section: Quantitative Estimation Of Mixingmentioning

confidence: 99%

Numerical modeling of exhaled droplet nuclei dispersion and mixing in indoor environments

Mui

Wong

et al. 2009

Journal of Hazardous Materials

View full text Add to dashboard Cite

The increasing incidence of indoor airborne infections has prompted attention upon the investigation of expiratory droplet dispersion and transport in built environments. In this study, a source (i.e. a patient who generates droplets) and a receiver (i.e. a susceptible object other than the source) are modeled in a mechanically ventilated room. The receiver's exposure to the droplet nuclei is analyzed under two orientations relative to the source. Two droplet nuclei, 0.1 and 10 microm, with different emission velocities, are selected to represent large expiratory droplets which can still be inhaled into the human respiratory tracts. The droplet dispersion and mixing characteristics under well-mixed and displacement ventilation schemes are evaluated and compared numerically. Results show that the droplet dispersion and mixing under displacement ventilation is consistently poorer. Very low concentration regions are also observed in the displacement scheme. For both ventilation schemes, the intake dose will be reduced substantially if the droplets are emitted under the face-to-wall orientation rather than the face-to-face orientation. Implications of using engineering strategies for reducing exposure are briefly discussed.

show abstract

Section: Quantitative Estimation Of Mixingmentioning

confidence: 99%

Numerical modeling of exhaled droplet nuclei dispersion and mixing in indoor environments

Mui

Wong

et al. 2009

Journal of Hazardous Materials

View full text Add to dashboard Cite

show abstract

“…For the illustrative application that follows, we used the COMIS multizone airflow and pollutant dispersion model. (7) COMIS predicts the steady-state flow of air induced by wind, thermal buoyancy, and mechanical ventilation. It represents a building as a collection of well-mixed zones, connected by flow paths such as cracks, doors, windows, and ductwork.…”

Section: Transport and Fatementioning

confidence: 99%

Siting Bio‐Samplers in Buildings

Sohn¹,

Lorenzetti²

2007

Risk Analysis

View full text Add to dashboard Cite

We describe a probabilistic approach to siting samplers for detecting accidental or intentional releases of biological material. In the face of uncertainty and variability in the release conditions, we place samplers in order to maximize the probability of detecting a release from among a suite of realistic scenarios. The scenarios may differ in any unknown, for example, the release size or location, weather, mode of building operation, etc. In an illustrative example, we apply the algorithm to a hypothetical 24-room commercial building, finding optimal networks for a variety of assumed sampler types. The results show how sampler characteristics, most importantly the detection limit, affect the network performance. This suggests using the probabilistic approach to guide the priorities of sampler designers, as well as to site samplers in specific buildings.

show abstract

“…This curve or constant flow will be maintained until it intersects with the curve from range 3. (Feustel and Smith 1998) Range 3:…”

Section: Flow Controllersmentioning

confidence: 99%