Improving speed and robustness of the Comis Solver

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The numerical investigation of airflow and chemical transport characteristics for a general class of buildings involves identifying values for model parameters, such as e.ective leakage areas and temperatures, for which a fair amount of uncertainty exists. A Monte Carlo simulation, with parameter values drawn from likely distributions using Latin Hypercube sampling, helps to account for these uncertainties by generating a corresponding distribution of simulated results. However, conducting large numbers of model runs can challenge a simulation program, not only by increasing the need for fast algorithms, but also by proposing specific combinations of parameter values that may define difficult numerical ... continued below

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5 pages

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Lorenzetti, David M. & Sohn, Michael D. June 1, 2000.

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Description

The numerical investigation of airflow and chemical transport characteristics for a general class of buildings involves identifying values for model parameters, such as e.ective leakage areas and temperatures, for which a fair amount of uncertainty exists. A Monte Carlo simulation, with parameter values drawn from likely distributions using Latin Hypercube sampling, helps to account for these uncertainties by generating a corresponding distribution of simulated results. However, conducting large numbers of model runs can challenge a simulation program, not only by increasing the need for fast algorithms, but also by proposing specific combinations of parameter values that may define difficult numerical problems. The paper describes several numerical approaches to improving the speed and reliability of the COMIS multizone airflow simulation program. Selecting a broad class of algorithms based on the mathematical properties of the airflow systems (symmetry and positive-definiteness), it evaluates new solution methods for possible inclusion in the COMIS code. In addition, it discusses further changes that will likely appear in future releases of the program.

Physical Description

5 pages

Notes

OSTI as DE00821002

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  • 7th International Conference on Air Distribution in Rooms, Reading (GB), 07/09/2000--07/12/2000

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  • Report No.: LBNL--44792
  • Grant Number: AC03-76SF00098
  • Office of Scientific & Technical Information Report Number: 821002
  • Archival Resource Key: ark:/67531/metadc738006

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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.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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Creation Date

  • June 1, 2000

Added to The UNT Digital Library

  • Oct. 18, 2015, 6:40 p.m.

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  • April 4, 2016, 3:21 p.m.

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Lorenzetti, David M. & Sohn, Michael D. Improving speed and robustness of the Comis Solver, article, June 1, 2000; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc738006/: accessed October 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.