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Research Article

Window purifying ventilator using a cross-flow fan: Simulation and optimization

Jiayu Li, Yuefei Hou, Junjie Liu( ), Zhiqiang Wang, Fei Li
Tianjin Key Laboratory of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
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Abstract

The window purifying ventilator is a relatively new idea that involves replacing one part of the window frame with a ventilator, for which the core component is a cross-flow fan (CFF). When a CFF is applied to the window purifying ventilator, a filter should be added, and its casing should be modified. In this paper, first, time-accurate solutions with a sliding mesh technique were developed for modelling the two-dimensional viscous and incompressible model of CFF. Three prevalent two-equation turbulence models (Standard, RNG and Realizable k-ε models) for CFF simulation were compared and validated in the experiments, and the most suitable model for this type CFF was found. Based on the time-accurate simulation, the formation of flow construction inside the CFF was also observed and explained. Next, the CFF was optimized for window purifying ventilator by redesigning and modifying the shape and location of vortex wall and rear wall, both numerically and experimentally. From the research results, the vortex wall’s position has a great influence on the ventilator’s performance by determining the position and intensity of eccentric vortex, and the shape of the rear wall also affects the ventilator’s performance by determining the flow pattern and internal flow resistance. Through appropriate designing the vortex and rear wall, finally, the CFF could apply to the window purifying ventilator with acceptable flow rates.

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Building Simulation
Pages 481-488

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Cite this article:
Li J, Hou Y, Liu J, et al. Window purifying ventilator using a cross-flow fan: Simulation and optimization. Building Simulation, 2016, 9(4): 481-488. https://doi.org/10.1007/s12273-016-0281-8

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Received: 23 November 2015
Revised: 22 January 2016
Accepted: 26 January 2016
Published: 01 March 2016
© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2016