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Validation of Modified Algebraic Model during Transitional Flow in HVAC Duct

Author

Listed:
  • Konrad Nering

    (Faculty of Mechanical Engineering, Cracow University of Technology, 31-864 Cracow, Poland
    These authors contributed equally to this work.)

  • Krzysztof Nering

    (Faculty of Civil Engineering, Cracow University of Technology, 31-155 Cracow, Poland
    These authors contributed equally to this work.)

Abstract

Airflow occurring in a ventilation duct is characterized by low velocity and hence low Reynolds number. In these conditions, either a laminar, transitional or turbulent flow will occur. Different flow conditions result in different values of the friction coefficient. To achieve the transitional flow in numerical simulation, a modified algebraic model for bypass transition (modified k − ω ) was used. Numerical simulation was validated using Particle Tracking Velocimetry (PTV) in the circular channel. The modified algebraic model consists of only two partial differential equations, which leads to much faster calculation than the shear stress transport model. Results of the modified algebraic model are largely consistent with either the measurement and shear stress transport model considering laminar and transitional flow. Consistency slightly decreased in turbulent flow in relation to the model using shear stress transport method.

Suggested Citation

  • Konrad Nering & Krzysztof Nering, 2021. "Validation of Modified Algebraic Model during Transitional Flow in HVAC Duct," Energies, MDPI, vol. 14(13), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3975-:d:587323
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    References listed on IDEAS

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    1. Mehrdad Rabani & Habtamu Bayera Madessa & Natasa Nord, 2021. "Building Retrofitting through Coupling of Building Energy Simulation-Optimization Tool with CFD and Daylight Programs," Energies, MDPI, vol. 14(8), pages 1-23, April.
    2. Akinkunmi Adegbenro & Michael Short & Claudio Angione, 2021. "An Integrated Approach to Adaptive Control and Supervisory Optimisation of HVAC Control Systems for Demand Response Applications," Energies, MDPI, vol. 14(8), pages 1-18, April.
    3. Wenzhou Zhong & Tong Zhang & Tetsuro Tamura, 2019. "CFD Simulation of Convective Heat Transfer on Vernacular Sustainable Architecture: Validation and Application of Methodology," Sustainability, MDPI, vol. 11(15), pages 1-18, August.
    4. Vizinho, Rui & Páscoa, José & Silvestre, Miguel, 2015. "Turbulent transition modeling through mechanical considerations," Applied Mathematics and Computation, Elsevier, vol. 269(C), pages 308-325.
    5. Shao, L. & Riffat, S. B., 1995. "Accuracy of CFD for predicting pressure losses in HVAC duct fittings," Applied Energy, Elsevier, vol. 51(3), pages 233-248.
    6. Juan Manuel García-Guendulain & José Manuel Riesco-Avila & Francisco Elizalde-Blancas & Juan Manuel Belman-Flores & Juan Serrano-Arellano, 2018. "Numerical Study on the Effect of Distribution Plates in the Manifolds on the Flow Distribution and Thermal Performance of a Flat Plate Solar Collector," Energies, MDPI, vol. 11(5), pages 1-21, April.
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