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A Grey Box Modeling Method for Fast Predicting Buoyancy-Driven Natural Ventilation Rates through Multi-Opening Atriums

Author

Listed:
  • Peng Xue

    (Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing 100124, China)

  • Zhengtao Ai

    (Department of Built Environment and Energy, College of Civil Engineering, Hunan University, Changsha 410082, China)

  • Dongjin Cui

    (School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China)

  • Wei Wang

    (Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing 100124, China)

Abstract

The utilization of buoyancy-driven natural ventilation in atrium buildings during transitional seasons helps create a healthy and comfortable indoor environment by bringing fresh air indoors. Among other factors, the air flow rate is a key parameter determining the ventilation performance of an atrium. In this study, a grey box modeling method is proposed and a prediction model is built for calculating the buoyancy-driven ventilation rate using three openings. This model developed from Bruce’s neutral height-based formulation and conservation laws is supported with a theoretical structure and determined with 7 independent variables and 4 integrated parameters. The integrated parameters could be estimated from a set of simulated data and in the results, the error of the semi-empirical predictive equation derived from CFD (computational fluid dynamics) simulated data is controlled within 10%, which indicates that a reliable predictive equation could be established with a rather small dataset. This modeling method has been validated with CFD simulated data, and it can be applied extensively to similar buildings for designing an expected ventilation rate. The simplicity of this grey box modeling should save the evaluation time for new cases and help designers to estimate the ventilation performance and choose building optimal opening designs.

Suggested Citation

  • Peng Xue & Zhengtao Ai & Dongjin Cui & Wei Wang, 2019. "A Grey Box Modeling Method for Fast Predicting Buoyancy-Driven Natural Ventilation Rates through Multi-Opening Atriums," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:12:p:3239-:d:239107
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    References listed on IDEAS

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    1. Halil Zafer Alibaba, 2018. "Heat and Air Flow Behavior of Naturally Ventilated Offices in a Mediterranean Climate," Sustainability, MDPI, vol. 10(9), pages 1-23, September.
    2. Awbi, H.B., 1996. "Air movement in naturally-ventilated buildings," Renewable Energy, Elsevier, vol. 8(1), pages 241-247.
    3. Maryam Khoshbakht & Zhonghua Gou & Xiaohuan Xie & Baojie He & Amos Darko, 2018. "Green Building Occupant Satisfaction: Evidence from the Australian Higher Education Sector," Sustainability, MDPI, vol. 10(8), pages 1-21, August.
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    Cited by:

    1. Junhua Liao & Peng Xue & Ling Jin & Mengjing Zhao & Nan Zhang & Junjie Liu, 2022. "Optimization of Corrugated Sheet Packing Structure Based on Analysis of Falling Film Flow Characteristics," Sustainability, MDPI, vol. 14(10), pages 1-19, May.

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