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Energy efficient design and control of cleanroom environment control systems in subtropical regions – A comparative analysis and on-site validation

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  • Shan, Kui
  • Wang, Shengwei

Abstract

Compared with spaces air-conditioned for thermal comfort, cleanrooms often have special requirements on dry bulb temperature, relative humidity and particle concentrations. It is a challenging task to achieve those requirements with minimum energy consumption, especially when different parameters interfere with each other. A significant amount of energy would be wasted if the system is not properly designed and controlled. This paper firstly provides an overview and a discussion on the essentials for design and control of cleanroom air-conditioning systems. The existing systems and controls are categorized into three typical options and their performances are then analyzed based on different weather and load conditions. For new design, the “fully decoupled option” is the preferred option for humid sub-tropical regions. The analysis results are applied in a retrofit project for a pharmaceutical factory located in Hong Kong, a humid sub-tropical city, which employed the “interactive option”. This system is proposed to operate as a “partially decoupled option” in this project since such retrofit requires no modification on the existing hardware. The retrofitted system option has been on-site tested in mild weather condition, which provided 69.6% and 87.8% reductions of cooling and heating consumptions respectively. More comprehensive comparison tests are also conducted on a dynamic platform built on Matlab/Simulink.

Suggested Citation

  • Shan, Kui & Wang, Shengwei, 2017. "Energy efficient design and control of cleanroom environment control systems in subtropical regions – A comparative analysis and on-site validation," Applied Energy, Elsevier, vol. 204(C), pages 582-595.
    • Handle: RePEc:eee:appene:v:204:y:2017:i:c:p:582-595
    DOI: 10.1016/j.apenergy.2017.07.050
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    References listed on IDEAS

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    1. Cui, X. & Mohan, B. & Islam, M.R. & Chou, S.K. & Chua, K.J., 2017. "Energy performance evaluation and application of an air treatment system for conditioning building spaces in tropics," Applied Energy, Elsevier, vol. 204(C), pages 1500-1512.
    2. Mei, Jun & Xia, Xiaohua, 2017. "Energy-efficient predictive control of indoor thermal comfort and air quality in a direct expansion air conditioning system," Applied Energy, Elsevier, vol. 195(C), pages 439-452.
    3. Speerforck, Arne & Schmitz, Gerhard, 2016. "Experimental investigation of a ground-coupled desiccant assisted air conditioning system," Applied Energy, Elsevier, vol. 181(C), pages 575-585.
    4. Hui, Hongxun & Ding, Yi & Liu, Weidong & Lin, You & Song, Yonghua, 2017. "Operating reserve evaluation of aggregated air conditioners," Applied Energy, Elsevier, vol. 196(C), pages 218-228.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Shan, Kui & Wang, Jiayuan & Hu, Maomao & Gao, Dian-ce, 2019. "A model-based control strategy to recover cooling energy from thermal mass in commercial buildings," Energy, Elsevier, vol. 172(C), pages 958-967.
    2. Zhuang, Chaoqun & Wang, Shengwei & Shan, Kui, 2019. "Probabilistic optimal design of cleanroom air-conditioning systems facilitating optimal ventilation control under uncertainties," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    3. Fan, Cheng & Sun, Yongjun & Shan, Kui & Xiao, Fu & Wang, Jiayuan, 2018. "Discovering gradual patterns in building operations for improving building energy efficiency," Applied Energy, Elsevier, vol. 224(C), pages 116-123.
    4. Zhuang, Chaoqun & Wang, Shengwei & Shan, Kui, 2019. "Adaptive full-range decoupled ventilation strategy and air-conditioning systems for cleanrooms and buildings requiring strict humidity control and their performance evaluation," Energy, Elsevier, vol. 168(C), pages 883-896.
    5. Zhao, Wenxuan & Li, Hangxin & Wang, Shengwei, 2022. "A comparative analysis on alternative air-conditioning systems for high-tech cleanrooms and their performance in different climate zones," Energy, Elsevier, vol. 261(PA).
    6. Zhuang, Chaoqun & Wang, Shengwei, 2020. "Risk-based online robust optimal control of air-conditioning systems for buildings requiring strict humidity control considering measurement uncertainties," Applied Energy, Elsevier, vol. 261(C).
    7. Mieczysław Porowski & Monika Jakubiak, 2022. "Energy-Optimal Structures of HVAC System for Cleanrooms as a Function of Key Constant Parameters and External Climate," Energies, MDPI, vol. 15(1), pages 1-41, January.

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