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Numerical simulation of air distribution for monitoring the central air conditioning in large atrium

Author

Listed:
  • Lixia Wang

    (Shanxi Datong University)

  • Pawan Kumar

    (University of Johannesburg)

  • Mamookho Elizabeth Makhatha

    (University of Johannesburg)

  • Vishal Jagota

    (Madanapalle Institute of Technology and Science)

Abstract

In the modern construction industry, there is a need for environment friendly energy efficient buildings to support the idea of sustainability. This article investigates the numerical simulation of air distribution of central air conditioning in tall atrium using the CFD technology to simulate the air distribution in the atrium of the large hotel buildings. The optimal atrium design is achieved by numerical simulation of air distribution condition in large Atrium by checking the airflow velocity field as well as temperature field under different working conditions in summers. The precondition of fixed air volume was analyzed using the FLUENT software and change in the vent air supply perspective was realized. The airflow velocity field and temperature field were evaluated under different working conditions and the flow characteristics of lateral line 1-point temperature were compared between 300.5 and 301 K. The rest of the measuring point temperature fluctuates up and down at 300 K, line 2 measure point temperature between 300.5 and 301 K. The hotel atrium was tested on site and the measured value was taken as the initial parameter for numerical simulation. The results of simulation and measurement were compared and analyzed to verify the effectiveness and reliability of the simulated air distribution in large space buildings.

Suggested Citation

  • Lixia Wang & Pawan Kumar & Mamookho Elizabeth Makhatha & Vishal Jagota, 2022. "Numerical simulation of air distribution for monitoring the central air conditioning in large atrium," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 340-352, March.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01420-4
    DOI: 10.1007/s13198-021-01420-4
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    References listed on IDEAS

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    Cited by:

    1. Lin Pan & Sheng Wang & Jiying Wang & Min Xiao & Zhirong Tan, 2022. "Research on Central Air Conditioning Systems and an Intelligent Prediction Model of Building Energy Load," Energies, MDPI, vol. 15(24), pages 1-31, December.

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