NITET2017

DETERMINATION OF OPTIMUM VENTILATION STRATEGY FOR DISPLACEMENT VENTILATED ROOM USING TAGUCHI METHOD (20150203)

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Abstracts : HVAC engineers, world-wide, are facing challenges related to system design and operation because of development of variety of air distribution systems, innovative diffusers and variations in demand patterns among the ventilation system users. Further, due to the concerns about Indoor Air Quality (IAQ) impact on workers’ health and productivity, newer ventilation strategies which integrate responsive and flexible elements, have grown in popularity for indoor spaces. In this paper attempts are made to develop and implement a practical and robust optimum ventilation strategy, with the aim of helping the building designers and HVAC operators to improve the Indoor Air Quality(IAQ) by reducing the contaminant particle concentrations. Taguchi’s method based on Design of Experiments(DOE) is used along-with actual experimentation in a displacement ventilated “Ventilation Test Room”(VTR). Number of experiments conducted is based on Taguchi method using L9 Orthogonal Array with three level and three factors. The main effect plots for the means for the Particle Removal Efficiency were obtained using Minitab 14 Software. For this study, to evaluate the significance of the parameters in effecting the desired quality characteristic of our interest (i.e. Particle Removal Efficiency), Analysis of variance (ANOVA) was performed keeping the objective “larger is better”. The input parameters considered are air velocity, particle source location and particle size. The results will help in deciding the most influential parameter for highest Particle Removal Efficiency which in turn will help the HVAC system designers and operators in maintaining these parameters and providing clean and healthy indoor air for the occupants.
Pages : 23-27
Downloads : 89
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Modified Date : 2018-01-18
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V.V. POTDAR , V.K.PRAVEEN , P.S.KARANDE, J.S.MUJAWAR , "DETERMINATION OF OPTIMUM VENTILATION STRATEGY FOR DISPLACEMENT VENTILATED ROOM USING TAGUCHI METHOD", JournalNX - A Multidisciplinary Peer Reviewed Journal, NITET2017, ISSN : 2581-4230, Page No. 23-27
Peer reviewed