Indoor contaminant source identification by inverse zonal method: Levenberg–Marquardt and conjugate gradient methods
| Autor: | Aziz Azimi, Ehsan Daneshgar |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Airflow 0211 other engineering and technologies Inverse 02 engineering and technology Building and Construction 010501 environmental sciences Computational fluid dynamics 01 natural sciences Parameter identification problem Levenberg–Marquardt algorithm Identification (information) Conjugate gradient method 021105 building & construction Environmental science business Biological system Reliability (statistics) 0105 earth and related environmental sciences |
| Zdroj: | Advances in Building Energy Research. 12:250-273 |
| ISSN: | 1756-2201 1751-2549 |
| DOI: | 10.1080/17512549.2017.1304241 |
| Popis: | 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 charact... |
| Databáze: | OpenAIRE |
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