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

Feustel, H.E.

doi:10.1016/s0378-7788(98)00043-7

Cited by 152 publications

(59 citation statements)

References 18 publications

(2 reference statements)

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“…Airflow between zones is induced by wind, buoyancy, or mechanical means, 5 and is assumed to depend on the pressure difference between zones and the resistance of the flow paths connected them. Feustel (1999) describes the physical foundations of COMIS, the multizone model used in this research.…”

Section: Multizone Modelmentioning

confidence: 99%

“…In eleven of the twelve experiments, the AHU was operating. Sextro et al (1999) measured air leakage and AHU characteristics, and developed a multizone airflow and gas transport model using COMIS (Feustel, 1999). We used this COMIS model to generate the library for the first stage of the Bayesian algorithm, with one simplification:…”

Section: Case Study: Sudden Tracer Releases In a Three-story Buildingmentioning

confidence: 99%

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Influence of indoor transport and mixing time scales on the performance of sensor systems for characterizing contaminant releases

Sreedharan

Sohn

Nazaroff

et al. 2007

Atmospheric Environment

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Optimizing real-time sensor systems to detect and identify relevant characteristics of an indoor contaminant event is a challenging task. The interpretation of incoming sensor data is confounded by uncertainties in building operation, in the forces driving contaminant transport, and even in the physical parameters governing the transport. In addition, any simulation tools used by the sensor interpretation algorithm will introduce modeling uncertainties. This paper explores how the time scales inherent in contaminant transport influence the information that can be extracted from real-time sensor data. In particular, we identify three time scales (within room mixing, room-to-room transport, and removal from the building) and study how they affect the ability of a Bayesian Monte Carlo (BMC) sensor interpretation algorithm to identify the release location and release mass from a set of experimental data, recorded in a multi-floor building.The research shows that some limitations in the BMC approach do not depend on details of the models or the algorithmic implementation, but rather on the physics of contaminant transport. 2This in turn has implications for the design of sensor systems.

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Section: Multizone Modelmentioning

confidence: 99%

Section: Case Study: Sudden Tracer Releases In a Three-story Buildingmentioning

confidence: 99%

Influence of indoor transport and mixing time scales on the performance of sensor systems for characterizing contaminant releases

Sreedharan

Sohn

Nazaroff

et al. 2007

Atmospheric Environment

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“…Additional information can be found in [2,3,9]. Some features of the pollutant and occupant models are demonstrated in the example of a factory building below.…”

Section: Comis Elementsmentioning

confidence: 99%

COMIS v3.1 simulation environment for multizone air flow and pollutant transport modelling

Haas

Weber

Dorer

et al. 2002

Energy and Buildings

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“…CONTAM (Walton and Dols, 2005) is a multizone model which has been used to calculate the indoor air quality in buildings. COMIS (Feustel, 1999) is a multizone model prepared by experts of the IEA (International Energy Agency) and is used widely in USA. Moreover, the coupling of CFD with building simulations has been addressed by several authors.…”

Section: Introductionmentioning

confidence: 99%

Energy Simulation of Buildings with a Modular Object-Oriented Tool

Damle¹,

Lehmkuhl²,

Rey³

et al. 2011

Proceedings of the ISES Solar World Congress 2011

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The aim of this work is to develop a modular object-oriented tool "NEST" (Numerical Edifice Simulation Tool) for the energy simulation of buildings, which can be coupled with a parallel CFD software. For this purpose, a building is modelled as a collection of basic elements (walls, rooms, outdoor, openings, etc.). Different models (1D, 2D, simplified energy balances, CFD & HT, etc) are implemented for different elements which are capable of solving themselves for given boundary conditions. The elements can be linked to each other to form a specific building configuration. Thus new configurations can be quickly formed by adding or removing the required elements. Such an approach gives flexibility of choosing a model for each element and to have different levels of modelling for different elements in the system. Moreover, elements developed can be used for applications not restricted to buildings only. The object-oriented methodology, element descriptions, BESTEST cases for code validation, and transient thermal simulations of two different cases are presented in this paper.

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

Cited by 152 publications

References 18 publications

Influence of indoor transport and mixing time scales on the performance of sensor systems for characterizing contaminant releases

Influence of indoor transport and mixing time scales on the performance of sensor systems for characterizing contaminant releases

COMIS v3.1 simulation environment for multizone air flow and pollutant transport modelling

Energy Simulation of Buildings with a Modular Object-Oriented Tool

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