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A Review of CFD Analysis Methods for Personalized Ventilation (PV) in Indoor Built Environments

Author

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  • Jiying Liu

    (School of Thermal Engineering, Shandong Jianzhu University, Jinan 250101, China
    Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA)

  • Shengwei Zhu

    (Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA)

  • Moon Keun Kim

    (Department of Architecture, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China)

  • Jelena Srebric

    (Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA)

Abstract

Computational fluid dynamics (CFD) is an effective analysis method of personalized ventilation (PV) in indoor built environments. As an increasingly important supplement to experimental and theoretical methods, the quality of CFD simulations must be maintained through an adequately controlled numerical modeling process. CFD numerical data can explain PV performance in terms of inhaled air quality, occupants’ thermal comfort, and building energy savings. Therefore, this paper presents state-of-the-art CFD analyses of PV systems in indoor built environments. The results emphasize the importance of accurate thermal boundary conditions for computational thermal manikins (CTMs) to properly analyze the heat exchange between human body and the microenvironment, including both convective and radiative heat exchange. CFD modeling performance is examined in terms of effectiveness of computational grids, convergence criteria, and validation methods. Additionally, indices of PV performance are suggested as system-performance evaluation criteria. A specific utilization of realistic PV air supply diffuser configurations remains a challenging task for further study. Overall, the adaptable airflow characteristics of a PV air supply provide an opportunity to achieve better thermal comfort with lower energy use based on CFD numerical analyses.

Suggested Citation

  • Jiying Liu & Shengwei Zhu & Moon Keun Kim & Jelena Srebric, 2019. "A Review of CFD Analysis Methods for Personalized Ventilation (PV) in Indoor Built Environments," Sustainability, MDPI, vol. 11(15), pages 1-33, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:15:p:4166-:d:254029
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Ana Tejero-González & Paula M. Esquivias, 2019. "Personalized Evaporative Cooler to Reduce Energy Consumption and Improve Thermal Comfort in Free-Running Spaces," Sustainability, MDPI, vol. 11(22), pages 1-15, November.
    2. Ren, Jing & Liu, Jiying & Zhou, Shiyu & Kim, Moon Keun & Song, Shoujie, 2022. "Experimental study on control strategies of radiant floor cooling system with direct-ground cooling source and displacement ventilation system: A case study in an office building," Energy, Elsevier, vol. 239(PD).
    3. Mohammad Al-Rawi & Ahmed M. Al-Jumaily & Annette Lazonby, 2022. "Did You Just Cough? Visualization of Vapor Diffusion in an Office Using Computational Fluid Dynamics Analysis," IJERPH, MDPI, vol. 19(16), pages 1-17, August.
    4. Jiying Liu & Mohammad Heidarinejad & Saber Khoshdel Nikkho & Nicholas W. Mattise & Jelena Srebric, 2019. "Quantifying Impacts of Urban Microclimate on a Building Energy Consumption—A Case Study," Sustainability, MDPI, vol. 11(18), pages 1-21, September.
    5. Daoru Liu & Zhigang Ren & Shen Wei & Zhe Song & Peipeng Li & Xin Chen, 2019. "Investigations on the Winter Thermal Environment of Bedrooms in Zhongxiang: A Case Study in Rural Areas in Hot Summer and Cold Winter Region of China," Sustainability, MDPI, vol. 11(17), pages 1-25, August.
    6. Xiaoshu Lü & Tao Lu & Tong Yang & Heidi Salonen & Zhenxue Dai & Peter Droege & Hongbing Chen, 2021. "Improving the Energy Efficiency of Buildings Based on Fluid Dynamics Models: A Critical Review," Energies, MDPI, vol. 14(17), pages 1-23, August.
    7. Kalmár, Tünde & Szodrai, Ferenc & Kalmár, Ferenc, 2022. "Experimental study of local effectiveness in the case of balanced mechanical ventilation in small offices," Energy, Elsevier, vol. 244(PA).

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