Numerical Simulations and Analysis of a Low Consumption Hybrid Air Extractor

Abstract : Hybrid low pressure air extractors are an economic way to enhance indoor air quality. The evaluation of their energetic performances needs the analysis of flow parameters that is typically done with wind tunnel data and numerical simulations. The purpose of this study is to analyze, numerically and experimentally, the flow and the energetic performances of a hybrid rooftop extractor. This innovative extractor has two main features: it works at low difference of pressure, below 50 Pa, and its fan is placed far above the duct outlet, out of the fluid flow. The hybrid extractor works following three modes of operation: stack effect, Venturi effect, and fan rotation. The two first modes of operation allow large energy saving. To analyze the three modes of operation, three sets of corresponding Reynolds-averaged Navier–Stokes (RANS) simulations are developed. The first one allows us to estimate the pressure drop due to the geometry of the air extractor. The second one is used to check the ability of the extractor to generate a suction into the duct in the presence of wind. The final one involves multiple reference frame (MRF) modeling in order to study the flow when the electric motor drives the fan. The numerical simulation configurations are validated with experimental data. A good behavior of the extractor is found for simulations of stack effect mode and Venturi effect mode. The stack effect and the Venturi effect allows the hybrid extractor to work most of the time without electric power. Finally, energetic comparisons are given.
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https://hal-univ-perp.archives-ouvertes.fr/hal-01906353
Contributor : Dorian Miler <>
Submitted on : Friday, October 26, 2018 - 4:41:19 PM
Last modification on : Saturday, October 27, 2018 - 1:10:31 AM

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Marc Sanchez, Adrien Toutant, Françoise Bataille. Numerical Simulations and Analysis of a Low Consumption Hybrid Air Extractor. Journal of Fluids Engineering, American Society of Mechanical Engineers, 2017, 139 (12), ⟨10.1115/1.4037507⟩. ⟨hal-01906353⟩

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