Response surface models for CFD predictions of air diffusion performance index in a displacement ventilated office

Based on the Response Surface Methodology (RSM), the development of first- and second-order models for predicting the Air Diffusion Performance Index (ADPI) in a displacement-ventilated office is presented. By adopting the technique of Computational Fluid Dynamics (CFD), the new ADPI models develope...

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Main Authors: Ng K.C., Kadirgama K., Ng E.Y.K.
Other Authors: 55310814500
Format: Article
Published: 2023
Subjects:
Air
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spelling my.uniten.dspace-309412023-12-29T15:56:15Z Response surface models for CFD predictions of air diffusion performance index in a displacement ventilated office Ng K.C. Kadirgama K. Ng E.Y.K. 55310814500 12761486500 7201647536 Air Diffusion Performance Index (ADPI) Air ventilation Computational Fluid Dynamics (CFD) Response Surface Methodology (RSM) Thermal comfort Air Diffusion Optimization Software packages Thermal comfort Ventilation Air diffusion Air ventilation Response Surface Methodology (RSM) Computational fluid dynamics Based on the Response Surface Methodology (RSM), the development of first- and second-order models for predicting the Air Diffusion Performance Index (ADPI) in a displacement-ventilated office is presented. By adopting the technique of Computational Fluid Dynamics (CFD), the new ADPI models developed are used to investigate the effect of simultaneous variation of three design variables in a displacement ventilation case, i.e. location of the displacement diffuser (Ldd), supply temperature (T) and exhaust position (Lex) on the comfort parameter ADPI. The RSM analyses are carried out with the aid of a statistical software package MINITAB. In the current study, the separate effect of individual design variable as well as the second-order interactions between these variables, are investigated. Based on the variance analyses of both the first- and second-order RSM models, the most influential design variable is the supply temperature. In addition, it is found that the interactions of supply temperature with other design variables are insignificant, as deduced from the second-order RSM model. The optimised ADPI value is subsequently obtained from the model equations. � 2007 Elsevier B.V. All rights reserved. Final 2023-12-29T07:56:15Z 2023-12-29T07:56:15Z 2008 Article 10.1016/j.enbuild.2007.04.024 2-s2.0-38749147306 https://www.scopus.com/inward/record.uri?eid=2-s2.0-38749147306&doi=10.1016%2fj.enbuild.2007.04.024&partnerID=40&md5=8618e48bdd8d7d320ef55274ebe8c5f8 https://irepository.uniten.edu.my/handle/123456789/30941 40 5 774 781 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Air Diffusion Performance Index (ADPI)
Air ventilation
Computational Fluid Dynamics (CFD)
Response Surface Methodology (RSM)
Thermal comfort
Air
Diffusion
Optimization
Software packages
Thermal comfort
Ventilation
Air diffusion
Air ventilation
Response Surface Methodology (RSM)
Computational fluid dynamics
spellingShingle Air Diffusion Performance Index (ADPI)
Air ventilation
Computational Fluid Dynamics (CFD)
Response Surface Methodology (RSM)
Thermal comfort
Air
Diffusion
Optimization
Software packages
Thermal comfort
Ventilation
Air diffusion
Air ventilation
Response Surface Methodology (RSM)
Computational fluid dynamics
Ng K.C.
Kadirgama K.
Ng E.Y.K.
Response surface models for CFD predictions of air diffusion performance index in a displacement ventilated office
description Based on the Response Surface Methodology (RSM), the development of first- and second-order models for predicting the Air Diffusion Performance Index (ADPI) in a displacement-ventilated office is presented. By adopting the technique of Computational Fluid Dynamics (CFD), the new ADPI models developed are used to investigate the effect of simultaneous variation of three design variables in a displacement ventilation case, i.e. location of the displacement diffuser (Ldd), supply temperature (T) and exhaust position (Lex) on the comfort parameter ADPI. The RSM analyses are carried out with the aid of a statistical software package MINITAB. In the current study, the separate effect of individual design variable as well as the second-order interactions between these variables, are investigated. Based on the variance analyses of both the first- and second-order RSM models, the most influential design variable is the supply temperature. In addition, it is found that the interactions of supply temperature with other design variables are insignificant, as deduced from the second-order RSM model. The optimised ADPI value is subsequently obtained from the model equations. � 2007 Elsevier B.V. All rights reserved.
author2 55310814500
author_facet 55310814500
Ng K.C.
Kadirgama K.
Ng E.Y.K.
format Article
author Ng K.C.
Kadirgama K.
Ng E.Y.K.
author_sort Ng K.C.
title Response surface models for CFD predictions of air diffusion performance index in a displacement ventilated office
title_short Response surface models for CFD predictions of air diffusion performance index in a displacement ventilated office
title_full Response surface models for CFD predictions of air diffusion performance index in a displacement ventilated office
title_fullStr Response surface models for CFD predictions of air diffusion performance index in a displacement ventilated office
title_full_unstemmed Response surface models for CFD predictions of air diffusion performance index in a displacement ventilated office
title_sort response surface models for cfd predictions of air diffusion performance index in a displacement ventilated office
publishDate 2023
_version_ 1806427991730814976
score 13.209306