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Performance assessment of a ductless personalized ventilation system using a validated CFD model

  • The aim of this study is twofold: to validate a computational fluid dynamics (CFD) model, and then to use the validated model to evaluate the performance of a ductless personalized ventilation (DPV) system. To validate the numerical model, a series of measurements was conducted in a climate chamber equipped with a thermal manikin. Various turbulence models, settings, and options were tested; simulation results were compared to the measured data to determine the turbulence model and solver settings that achieve the best agreement between the measured and simulated values. Subsequently, the validated CFD model was then used to evaluate the thermal environment and indoor air quality in a room equipped with a DPV system combined with displacement ventilation. Results from the numerical model were then used to quantify thermal sensation and comfort using the UC Berkeley thermal comfort model.

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Document Type:Article
Author: Hayder AlsaadORCiD, Prof. Dr.-Ing. Conrad VoelkerORCiDGND
DOI (Cite-Link):
URN (Cite-Link):
Parent Title (English):Journal of Building Performance Simulation
Date of Publication (online):2019/02/11
Date of first Publication:2018/02/08
Release Date:2019/02/18
Publishing Institution:Bauhaus-Universität Weimar
Institutes:Fakultät Bauingenieurwesen / Professur Bauphysik
Issue:11, Heft 6
First Page:689
Last Page:704
Tag:computational fluid dynamics; indoor air quality; personalized ventilation; thermal comfort; validation
GND Keyword:Ventilation; Validierung; Strömungsmechanik; Raumklima
Dewey Decimal Classification:500 Naturwissenschaften und Mathematik / 530 Physik / 532 Mechanik der Fluide; Mechanik der Flüssigkeiten
BKL-Classification:56 Bauwesen / 56.55 Bauphysik, Bautenschutz
Licence (German):License Logo Zweitveröffentlichung
Copyright 2018 Taylor & Francis Group and the International Building Performance Simulation Association (IBPSA). This article may be downloaded for personal use only. Any other use requires prior permission of the authors and Taylor & Francis Group.

This is an Accepted Manuscript of an article published by Taylor & Francis in the Journal of Building Performance Simulation 11 (6), 689–704 (2018) and may be found at