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Title: Providing pressure inputs to multizone building models

A study to assess how the fidelity of wind pressure inputs and indoor model complexity affect the predicted air change rate for a study building is presented. The purpose of the work is to support the development of a combined indoor-outdoor hazard prediction tool, which links the CONTAM multizone building simulation tool with outdoor dispersion models. The study building, representing a large office block of a simple rectangular geometry under natural ventilation, was based on a real building used in the Joint Urban 2003 experiment. A total of 1600 indoor model flow simulations were made, driven by 100 meteorological conditions which provided a wide range of building surface pressures. These pressures were applied at four levels of resolution to four different building configurations with varying numbers of internal zones and indoor and outdoor flow paths. Analysis of the results suggests that surface pressures and flow paths across the envelope should be specified at a resolution consistent with the dimensions of the smallest volume of interest, to ensure that appropriate outputs are obtained.
 [1] ;  [1] ;  [2] ;  [1] ;  [3] ;  [1] ;  [4] ;  [3] ;  [4] ;  [5]
  1. Dstl, Porton Down, Wiltshire (United Kingdom)
  2. Aeris, Louisville, CO (United States)
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  4. National Center for Atmospheric Research, Boulder, CO (United States)
  5. Naval Surface Warfare Center, Dahlgren, VA (United States)
Publication Date:
Grant/Contract Number:
Published Article
Journal Name:
Building and Environment
Additional Journal Information:
Journal Volume: 101; Journal Issue: C; Journal ID: ISSN 0360-1323
Research Org:
Lawrence Berkeley National Laboratory, E-Scholarship Repository, Berkeley, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC)
Country of Publication:
United States
54 ENVIRONMENTAL SCIENCES; 42 ENGINEERING; Multizone; Indoor models; Pressure inputs
OSTI Identifier:
Alternate Identifier(s):
OSTI ID: 1378354