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Design of Ducting System for the Commercial Mall and Evaluating Flow Conditions by using CFD

Author(s):

B.Phanindra Kumar , Gurunanak Institute of Technology (GNIT); M. Sravan Kumar, Gurunanak Institute of Technology (GNIT); K. Raviteja, Gurunanak Institute of Technology (GNIT); P. Vasudev, Gurunanak Institute of Technology (GNIT)

Keywords:

HVAC, Duct, ASHRAE, CFD, PRESURE DROP, VELOCITY

Abstract

This paper focuses on study of design and modifications air cooling duct using Computational Fluid Dynamics (CFD) analysis considering all air flow features relating to the duct system efficiency. HVAC system is widely used in residential, hotels, malls, hospital to provide thermal comfort and to maintain good indoor air quality. Design, optimization and numerical analysis of air flow characteristics in HVAC duct based on the optimization approach for the effective and efficient evaluation of HVAC duct layout, alternatives at the design stage to get the optimal duct layout results. Adequate tools and methods are now to design efficient air-cooling systems. Failure in correctly applying different load conditions to the structure of ducts and the layout of the ducting system leading to problems such as uneven cooling across the cooling space, greater frictional losses, steeper installation costs & increased noise and power consumption levels. The above cooling issues highlight the need for optimizing duct design especially to provide improved flow conditions. We used the soft wares like solidworks, ansys, revit to bring the positive out comes that collaboratively bring the results. It combines theoretical and software enabled tools to provide a detailed comparative analysis of the costs and benefits involved in selecting a particular shape (rectangular or circular) of duct for a prescribed situation. The focus of this paper will be on using CFD software tools to study velocity distribution of air in the duct at various sections, pressure difference at various outlets and distribution of air flow for different load conditions.

Other Details

Paper ID: IJSRDV8I10321
Published in: Volume : 8, Issue : 1
Publication Date: 01/04/2020
Page(s): 106-109

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