Computational Fluid Dynamic Optimization of Supply and Return Duct Position for Zone Air Distribution

Authors

  • Bashir E. Kareem Department of Technical Mechanical and Energy Engineering, Erbil Technical Engineering College, Erbil Polytechnic University, Erbil, Kurdistan Region, Iraq https://orcid.org/0000-0002-5568-5356
  • Younis K. Khdir Department of Technical Mechanical and Energy Engineering, Erbil Technical Engineering College, Erbil Polytechnic University, Erbil, Kurdistan Region, Iraq https://orcid.org/0000-0001-5861-1283

DOI:

https://doi.org/10.25156/ptj.v11n2y2021.pp69-78

Keywords:

Air distributions, Computational fluid dynamic, Duct position, Thermal comfort

Abstract

Air conditioning accounts for roughly half of all energy consumption in residential buildings. Today’s issue is optimizing the air conditioning system and methods of conveying heated and cooled air to prevent additional energy consumption. The optimal supply and return duct position is studied and the results based on the minimum air temperature and pressure in the room, while the room air distribution is taken into account. The main objective of air conditioning, which is impacted by duct position, is to provide thermal comfort in the room. Using Computational Fluid Dynamic, a controlled zone is designed and analyzed in the room with fourteen different duct position cases (ANSYS - FLUENT). The duct position is then optimized based on thermal comfort and uniform distribution of air temperature. The findings revealed that the location of supply and return ducts has a significant impact on minimum room air temperature and room air distributions. Across all cases, the temperature ranges from (294 K to 297 K).

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Published

2021-12-30

How to Cite

Kareem, B. E., & Khdir, Y. K. (2021). Computational Fluid Dynamic Optimization of Supply and Return Duct Position for Zone Air Distribution. Polytechnic Journal, 11(2), 69-78. https://doi.org/10.25156/ptj.v11n2y2021.pp69-78

Issue

Vol. 11 No. 2 (2021):

Section

Research Articles

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Copyright (c) 2021 Bashir E. Kareem, Younis K. Khdir

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