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Enhancing the performance of large primary-secondary chilled water systems by using bypass check valve

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  • Ma, Zhenjun
  • Wang, Shengwei

Abstract

Large primary-secondary chilled water systems often suffer from low chilled water temperature difference (i.e., known as low delta-T central plant syndrome) during operation. This paper presents a detailed study to investigate the feasibility and potential benefits related to the use of a bypass check valve in the chiller decouple line to solve this operational problem and hence, to improve the overall system operating efficiency. The objective of this study is to provide some guidance and necessary confidence as well as the awareness of potential problems that may arise when a bypass check valve is considered to handle the low delta-T syndrome. Based on testing the effects of the low delta-T syndrome, the performances of the systems with and without the bypass check valve are then evaluated by using a simulated virtual system. In the tests, the low delta-T syndrome was introduced through air-side fouling by changing the air-side thermal resistance coefficient in the cooling coil model. The results show that, if the chilled water system suffered from 20% air-side fouling, about 6.77% total energy of the chilled water system studied can be saved when a bypass check valve is used, as compared to that without the bypass check valve.

Suggested Citation

  • Ma, Zhenjun & Wang, Shengwei, 2011. "Enhancing the performance of large primary-secondary chilled water systems by using bypass check valve," Energy, Elsevier, vol. 36(1), pages 268-276.
  • Handle: RePEc:eee:energy:v:36:y:2011:i:1:p:268-276
    DOI: 10.1016/j.energy.2010.10.042
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    References listed on IDEAS

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    1. Ma, Zhenjun & Wang, Shengwei & Xiao, Fu, 2009. "Online performance evaluation of alternative control strategies for building cooling water systems prior to in situ implementation," Applied Energy, Elsevier, vol. 86(5), pages 712-721, May.
    2. Yu, F.W. & Chan, K.T., 2005. "Experimental determination of the energy efficiency of an air-cooled chiller under part load conditions," Energy, Elsevier, vol. 30(10), pages 1747-1758.
    3. Chang, Yung-Chung & Chen, Wu-Hsing, 2009. "Optimal chilled water temperature calculation of multiple chiller systems using Hopfield neural network for saving energy," Energy, Elsevier, vol. 34(4), pages 448-456.
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    Citations

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    Cited by:

    1. Gao, Dian-ce & Wang, Shengwei & Shan, Kui, 2016. "In-situ implementation and evaluation of an online robust pump speed control strategy for avoiding low delta-T syndrome in complex chilled water systems of high-rise buildings," Applied Energy, Elsevier, vol. 171(C), pages 541-554.
    2. Ma, Zhenjun & Lin, Wenye & Sohel, M. Imroz, 2016. "Nano-enhanced phase change materials for improved building performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1256-1268.
    3. Gao, Dian-ce & Wang, Shengwei & Shan, Kui & Yan, Chengchu, 2016. "A system-level fault detection and diagnosis method for low delta-T syndrome in the complex HVAC systems," Applied Energy, Elsevier, vol. 164(C), pages 1028-1038.
    4. Jangsten, Maria & Lindholm, Torbjörn & Dalenbäck, Jan-Olof, 2020. "Analysis of operational data from a district cooling system and its connected buildings," Energy, Elsevier, vol. 203(C).
    5. Tirmizi, Syed A. & Gandhidasan, P. & Zubair, Syed M., 2012. "Performance analysis of a chilled water system with various pumping schemes," Applied Energy, Elsevier, vol. 100(C), pages 238-248.
    6. Xuefeng, Liu & Jinping, Liu & Zhitao, Lu & Kongzu, Xing & Yuebang, Mai, 2015. "Diversity of energy-saving control strategy for a parallel chilled water pump based on variable differential pressure control in an air-conditioning system," Energy, Elsevier, vol. 88(C), pages 718-733.
    7. Gao, Dian-ce & Wang, Shengwei & Sun, Yongjun & Xiao, Fu, 2012. "Diagnosis of the low temperature difference syndrome in the chilled water system of a super high-rise building: A case study," Applied Energy, Elsevier, vol. 98(C), pages 597-606.

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