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Steady-State Performance Prediction for a Variable Speed Direct Expansion Air Conditioning System Using a White-Box Based Modeling Approach

Author

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  • Yudong Xia

    (Institute of Refrigeration and Cryogenics, Zhejiang University, Hangzhou 310058, China
    Institute of Energy Utilization and Automation, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Shu Jiangzhou

    (Institute of Energy Utilization and Automation, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Xuejun Zhang

    (Institute of Refrigeration and Cryogenics, Zhejiang University, Hangzhou 310058, China)

  • Zhao Zhang

    (Parker Hannifin Motion & Control (Shanghai) Co., Ltd., Shanghai 201206, China)

Abstract

When using a certain type of Heating, Ventilation & Air Conditioning (HVAC) systems, it is primary to obtain their steady-state operating behaviors for achieving a better indoor thermal environment. This paper reports a development of a white-box-based dynamic model for a direct expansion (DX) air conditioning (A/C) system to predict its steady-state operating performance under variable speed operation. The established model consists of five sub-models, i.e., a compressor, an electronic expansion valve, an evaporator, a condenser and a conditioned space. Each sub-model was developed based on partial lumped parameter approach. Using the available data generated from an experimental DX A/C system, both transient and steady-state behaviors predictions agreed well with the experimental ones. With the help of the validated white-box model, the inherent steady-state operating performance expressed in terms of the relationship among total cooling capacity (TCC), equipment sensible heat ratio (E SHR) and coefficient of performance (COP) under various speed combinations of compressor and supply fan were further examined. The results show that a higher COP could be achieved when the DX A/C system was operated at a higher fan speed or a lower compressor speed for dealing with a larger required E SHR. This model could be helpful for A/C system design and controller development.

Suggested Citation

  • Yudong Xia & Shu Jiangzhou & Xuejun Zhang & Zhao Zhang, 2020. "Steady-State Performance Prediction for a Variable Speed Direct Expansion Air Conditioning System Using a White-Box Based Modeling Approach," Energies, MDPI, vol. 13(18), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4757-:d:412538
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    References listed on IDEAS

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    1. Chen, Wenjing & Chan, Ming-yin & Weng, Wenbing & Yan, Huaxia & Deng, Shiming, 2018. "An experimental study on the operational characteristics of a direct expansion based enhanced dehumidification air conditioning system," Applied Energy, Elsevier, vol. 225(C), pages 922-933.
    2. Jee-Heon Kim & Nam-Chul Seong & Wonchang Choi, 2019. "Modeling and Optimizing a Chiller System Using a Machine Learning Algorithm," Energies, MDPI, vol. 12(15), pages 1-13, July.
    3. Mohammed Al-Azba & Zhaohui Cen & Yves Remond & Said Ahzi, 2020. "An Optimal Air-Conditioner On-Off Control Scheme under Extremely Hot Weather Conditions," Energies, MDPI, vol. 13(5), pages 1-21, February.
    4. Afram, Abdul & Janabi-Sharifi, Farrokh, 2015. "Gray-box modeling and validation of residential HVAC system for control system design," Applied Energy, Elsevier, vol. 137(C), pages 134-150.
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