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Indoor contaminant source identification by inverse zonal method: Levenberg–Marquardt and conjugate gradient methods
Indoor contaminant characteristics have been identified traditionally by inverse computational fluid dynamics methods. However, these methods are too time-consuming and costly. In this study, an inverse zonal method was developed as a simple model to provide an alternative and inexpensive approach for identifying indoor contaminant source characteristics. In the direct problem, experimental data and computational fluid dynamics results were employed to validate the reliability of the direct zonal method. This comparison showed the capability of the direct zonal method to simulate the contaminant airflow distribution in indoor environments. Finally, the inverse zonal method was used to predict the location and strength of an unknown indoor contaminant source with prior knowledge of the source release time. The inverse techniques for solving the identification problem were the Levenberg−Marquardt and conjugate gradient methods. The results showed that these inverse methods could identify the characteristics of a gaseous emission source.
Abbreviations: CFD: computational fluid dynamics; ICFD: inverse computational fluid dynamics; IZM: inverse zonal model; POMA: pressurized zonal model with the air diffuser; QR: quasi-reversibility
Indoor contaminant source identification by inverse zonal method: Levenberg–Marquardt and conjugate gradient methods
Indoor contaminant characteristics have been identified traditionally by inverse computational fluid dynamics methods. However, these methods are too time-consuming and costly. In this study, an inverse zonal method was developed as a simple model to provide an alternative and inexpensive approach for identifying indoor contaminant source characteristics. In the direct problem, experimental data and computational fluid dynamics results were employed to validate the reliability of the direct zonal method. This comparison showed the capability of the direct zonal method to simulate the contaminant airflow distribution in indoor environments. Finally, the inverse zonal method was used to predict the location and strength of an unknown indoor contaminant source with prior knowledge of the source release time. The inverse techniques for solving the identification problem were the Levenberg−Marquardt and conjugate gradient methods. The results showed that these inverse methods could identify the characteristics of a gaseous emission source.
Abbreviations: CFD: computational fluid dynamics; ICFD: inverse computational fluid dynamics; IZM: inverse zonal model; POMA: pressurized zonal model with the air diffuser; QR: quasi-reversibility
Indoor contaminant source identification by inverse zonal method: Levenberg–Marquardt and conjugate gradient methods
Azimi, Aziz (Autor:in) / Daneshgar, Ehsan (Autor:in)
Advances in Building Energy Research ; 12 ; 250-273
03.07.2018
24 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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