Coupled model for simulation of indoor airflow and pollutant transport

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Description

Understanding airflow in buildings is essential for improving energy efficiency, controlling airborne pollutants, and maintaining occupant comfort. Recent research on whole-building airflow simulation has turned toward protecting occupants from threats of chemical or biological agents. Sample applications include helping design systems to reduce exposure, and selecting optimal sensor locations. Multizone models and computational fluid dynamics (CFD) provide complementary approaches to predicting airflows in buildings. Multizone models treat a building as a collection of well-mixed zones, connected by flow paths such as doors, windows, etc. These zone-to-zone airflows carry contaminants around the building. However, the multizone formulation assumes that pollutants mix ... continued below

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7 pages

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Jayaraman, Buvana; Lorenzetti, David M. & Gadgil, Ashok J. November 1, 2004.

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Description

Understanding airflow in buildings is essential for improving energy efficiency, controlling airborne pollutants, and maintaining occupant comfort. Recent research on whole-building airflow simulation has turned toward protecting occupants from threats of chemical or biological agents. Sample applications include helping design systems to reduce exposure, and selecting optimal sensor locations. Multizone models and computational fluid dynamics (CFD) provide complementary approaches to predicting airflows in buildings. Multizone models treat a building as a collection of well-mixed zones, connected by flow paths such as doors, windows, etc. These zone-to-zone airflows carry contaminants around the building. However, the multizone formulation assumes that pollutants mix perfectly and instantaneously within each zone. For large spaces that take a long time to mix, these models cannot assess occupant exposures, or guide decisions about sensor placement or ventilation strategy. Furthermore, since the airflow in most large spaces couples tightly to the rest of the building (through doors and ventilation systems), errors due to neglecting the room details eventually propagate to the rest of the solution.

Physical Description

7 pages

Notes

OSTI as DE00841705

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  • Other Information: PBD: 1 Nov 2004

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  • Report No.: LBNL--56667
  • Grant Number: AC03-76SF00098
  • DOI: 10.2172/841705 | External Link
  • Office of Scientific & Technical Information Report Number: 841705
  • Archival Resource Key: ark:/67531/metadc784972

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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Creation Date

  • November 1, 2004

Added to The UNT Digital Library

  • Dec. 3, 2015, 9:30 a.m.

Description Last Updated

  • April 4, 2016, 3:03 p.m.

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Jayaraman, Buvana; Lorenzetti, David M. & Gadgil, Ashok J. Coupled model for simulation of indoor airflow and pollutant transport, report, November 1, 2004; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc784972/: accessed May 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.