Data-based mechanistic modelling approach to determine the age of air in a ventilated space
| Autor: | S. Van Buggenhout, Daniel Berckmans, Stijn Quanten, T. Zerihun Desta, W. Van Malcot, Erik Vranken, A. Van Brecht |
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| Rok vydání: | 2006 |
| Předmět: |
Engineering
Environmental Engineering Mass distribution business.industry Geography Planning and Development Experimental data Inverse Building and Construction Space (mathematics) Noise Model parameter Indoor air quality Mass transfer Applied mathematics business Simulation Civil and Structural Engineering |
| Zdroj: | Building and Environment. 41:557-567 |
| ISSN: | 0360-1323 |
| DOI: | 10.1016/j.buildenv.2005.02.029 |
| Popis: | In literature, local mean age of air is used as an important index to evaluate indoor air quality in ventilated rooms. In this research, a data-based mechanistic approach is used to model the spatial–temporal mass distribution in an imperfectly mixed forced ventilated installation. A first-order transfer function model has proved to be sufficiently good in describing the mass transfer dynamics ( R t 2 = 0.987 ) of the system. Furthermore, it was possible to fully understand the physical meaning of the model parameter. The parameter is found to be an inverse of the age of air. This Data-Based Modelling approach proved to be more robust when dealing with measurement noise. Finally, the modelled age of air was validated with a classical step up determination of the age of air for experimental data. Good correlation ( R t 2 = 0.77 ) was found between both results, which proved the physical background of the model parameter. |
| Databáze: | OpenAIRE |
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