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A hybrid dynamic modeling of active chilled beam terminal unit

Author

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  • Chen, Can
  • Cai, Wenjian
  • Giridharan, Karunagaran
  • Wang, Youyi

Abstract

This paper proposes a hybrid dynamic model of active chilled beam (ACB) terminal unit. The model encapsulates mechanical and thermal aspects of the confined air jet and the cooling coil contained in the terminal unit and could be divided into two sub-models respectively. The models for the primary air, secondary air and mixing of them are together taken as the confined air jet sub-model. Another sub-model is the heat transfer description of the cooling coil. The model is kept simple and practical, avoiding sophisticated jet flow theories as well as heat transfer theories. Thus, in deriving the model using first principles and estimating it experimentally, a reasonable compromise is made between capturing exact underlying physics and suitability for engineering applications. Supported by experimental results from a pilot plant, unknown model parameters are identified by either a linear or nonlinear least-squares method. It is shown that static and dynamic performances of the model are satisfied, which reflect the effectiveness of this hybrid modeling technique as well. The model developed in this work is expected to have wide control and optimization applications.

Suggested Citation

  • Chen, Can & Cai, Wenjian & Giridharan, Karunagaran & Wang, Youyi, 2014. "A hybrid dynamic modeling of active chilled beam terminal unit," Applied Energy, Elsevier, vol. 128(C), pages 133-143.
    • Handle: RePEc:eee:appene:v:128:y:2014:i:c:p:133-143
    DOI: 10.1016/j.apenergy.2014.04.069
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    References listed on IDEAS

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    1. Ding, Xudong & Cai, Wenjian & Jia, Lei & Wen, Changyun, 2009. "Evaporator modeling - A hybrid approach," Applied Energy, Elsevier, vol. 86(1), pages 81-88, January.
    2. Wang, Xinli & Cai, Wenjian & Lu, Jiangang & Sun, Youxian & Ding, Xudong, 2013. "A hybrid dehumidifier model for real-time performance monitoring, control and optimization in liquid desiccant dehumidification system," Applied Energy, Elsevier, vol. 111(C), pages 449-455.
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    4. Horst, Tilmann Abbe & Rottengruber, Hermann-Sebastian & Seifert, Marco & Ringler, Jürgen, 2013. "Dynamic heat exchanger model for performance prediction and control system design of automotive waste heat recovery systems," Applied Energy, Elsevier, vol. 105(C), pages 293-303.
    5. Li, Min & Lai, Alvin C.K., 2013. "Analytical model for short-time responses of ground heat exchangers with U-shaped tubes: Model development and validation," Applied Energy, Elsevier, vol. 104(C), pages 510-516.
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    Citations

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    Cited by:

    1. Wu, Bingjie & Cai, Wenjian & Chen, Haoran, 2021. "A model-based multi-objective optimization of energy consumption and thermal comfort for active chilled beam systems," Applied Energy, Elsevier, vol. 287(C).
    2. Wang, Xinli & Cai, Wenjian & Yin, Xiaohong, 2017. "A global optimized operation strategy for energy savings in liquid desiccant air conditioning using self-adaptive differential evolutionary algorithm," Applied Energy, Elsevier, vol. 187(C), pages 410-423.
    3. Qiang Si & Xiaosong Zhang, 2016. "Experimental and Numerical Study of the Radiant Induction-Unit and the Induction Radiant Air-Conditioning System," Energies, MDPI, vol. 10(1), pages 1-14, December.
    4. Yani Bao & Wai Ling Lee & Jie Jia, 2018. "Exergy Analyses and Modelling of a Novel Extra-Low Temperature Dedicated Outdoor Air System," Energies, MDPI, vol. 11(5), pages 1-25, May.
    5. Ou, Xianhua & Cai, Wenjian & He, Xiongxiong & Zhai, Deqing, 2018. "Experimental investigations on heat and mass transfer performances of a liquid desiccant cooling and dehumidification system," Applied Energy, Elsevier, vol. 220(C), pages 164-175.

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