CFD modelling of an industrial air diffuser—predicting velocity and temperature in the near zone |
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| Affiliation: | 1. School of Building Services Science and Engineering, Xi''an University of Architecture and Technology, Xi''an, 710055, China;2. Department of Applied Physics and Electronics, Umeå University, SE-901 87 Umeå, Sweden;3. International Centre for Indoor Environment and Energy, Department of Civil Engineering, Technical University of Denmark, 2800 Kgs, Denmark;4. Ventilation and Air Quality Centre for Built Environment, University of Gävle, SE-801 76 Gävle, Sweden;5. Department of Civil Engineering, Aalborg University, Aalborg DK-9220, Denmark;6. Center for the Built Environment, University of California, Berkeley, CA 94720, USA;7. Department of Energy and Process, Norwegian University of Science and Technology, KolbjørnHejesVei 1B, NO-7491 Trondheim, Norway;8. School of Construction Management and Engineering, University of Reading, UK;9. School of Architecture, Design and Planning, The University of Sydney, Australia;10. Department of Building, School of Design and Environment, National University of Singapore, 117566, Singapore;11. Department of Mechanical Engineering, School of Engineering, Aalto University, Sähkömiehentie 4, 02150 Espoo, Finland;12. College of Urban Construction, Nanjing Tech University, Nanjing 210009, China;13. Institute of Industrial Science, The University of Tokyo, Tokyo, 153-8505, Japan;14. Department of Building Science, School of Architecture, Tsinghua University, Beijing, 100084, China;15. Division of Building Science and Technology, City University of Hong Kong, Hong Kong, China |
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| Abstract: | This article describes experimental and modelling results from CFD simulation of an air diffuser for industrial spaces. The main objective of this paper is to validate a manufacturer model of the diffuser. In the air diffuser, the low velocity part is placed on top of a multi-cone diffuser in order to increase airflow rates and maximize the cooling capacity of a single diffuser unit. This kind of configuration should ensure appropriate performance of industrial air diffusers, which is discussed briefly at the end of the article. The paper illustrates the importance of a simulation model jointly with the manufacturer's product model and the grid layout near the ventilation device to achieve accurate results. Parameters for diffuser modelling were adapted from literature and manufacturer's product data. Correct specification of diffuser geometry and numerical boundary conditions for CFD simulations are critical for prediction. The standard k–ε model was chosen to model turbulence because it represents the best-known model utilized and validated for air diffuser performance. CFD simulations were compared systematically with data from laboratory measurements; air velocity was measured by ultrasonic sensors. Results show that CFD simulation with a standard k–ε model accurately predicts non-isothermal airflow around the diffuser. Additionally, smoke tests revealed that the flow around the diffuser is not completely symmetrical as predicted by CFD. The cause of the observed asymmetry was not identified. This was the main reason why some simulation results deviate from the measured values. |
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