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Online chiller loading strategy based on the near-optimal performance map for energy conservation

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  • Wang, Yijun
  • Jin, Xinqiao
  • Shi, Wantao
  • Wang, Jiangqing

Abstract

This paper develops an online control strategy for the multiple chillers with constant flow of cooling water and chilled water (primary side). The strategy is based on the performance map which indicates the chillers’ near-optimal control to save their energy consumption. The map is formed with diversified data sources and updated periodically to ensure its good quality. Two simulation studies are conducted to validate the effectiveness of the proposed strategy in saving the chillers’ energy consumption. In Study 1, the proposed strategy is simulated during 8 weeks in August and September, with its map updating and not updating respectively. The result shows that periodically updating the map can make the proposed strategy more effective in energy saving. And the computation time per execution of the proposed strategy is feasible for online application. In Study 2, the proposed strategy is simulated from May to November. The result indicates that the proposed strategy is insensible to the initial history data, and can reduce the chillers’ energy consumption comparing with the sequence strategies.

Suggested Citation

  • Wang, Yijun & Jin, Xinqiao & Shi, Wantao & Wang, Jiangqing, 2019. "Online chiller loading strategy based on the near-optimal performance map for energy conservation," Applied Energy, Elsevier, vol. 238(C), pages 1444-1451.
    • Handle: RePEc:eee:appene:v:238:y:2019:i:c:p:1444-1451
    DOI: 10.1016/j.apenergy.2019.01.170
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    1. Huang, Sen & Zuo, Wangda & Sohn, Michael D., 2016. "Amelioration of the cooling load based chiller sequencing control," Applied Energy, Elsevier, vol. 168(C), pages 204-215.
    2. Lubis, Arnas & Jeong, Jongsoo & Giannetti, Niccolo & Yamaguchi, Seiichi & Saito, Kiyoshi & Yabase, Hajime & Alhamid, Muhammad I. & Nasruddin,, 2018. "Operation performance enhancement of single-double-effect absorption chiller," Applied Energy, Elsevier, vol. 219(C), pages 299-311.
    3. Candanedo, J.A. & Dehkordi, V.R. & Stylianou, M., 2013. "Model-based predictive control of an ice storage device in a building cooling system," Applied Energy, Elsevier, vol. 111(C), pages 1032-1045.
    4. Xue, Xue & Wang, Shengwei & Yan, Chengchu & Cui, Borui, 2015. "A fast chiller power demand response control strategy for buildings connected to smart grid," Applied Energy, Elsevier, vol. 137(C), pages 77-87.
    5. Du, Zhimin & Chen, Ling & Jin, Xinqiao, 2017. "Data-driven based reliability evaluation for measurements of sensors in a vapor compression system," Energy, Elsevier, vol. 122(C), pages 237-248.
    6. Sapienza, Alessio & Santamaria, Salvatore & Frazzica, Andrea & Freni, Angelo, 2011. "Influence of the management strategy and operating conditions on the performance of an adsorption chiller," Energy, Elsevier, vol. 36(9), pages 5532-5538.
    7. Chua, K.J. & Chou, S.K. & Yang, W.M. & Yan, J., 2013. "Achieving better energy-efficient air conditioning – A review of technologies and strategies," Applied Energy, Elsevier, vol. 104(C), pages 87-104.
    8. Ma, Zhenjun & Wang, Shengwei, 2011. "Supervisory and optimal control of central chiller plants using simplified adaptive models and genetic algorithm," Applied Energy, Elsevier, vol. 88(1), pages 198-211, January.
    9. 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.
    10. Yu, F.W. & Chan, K.T., 2012. "Improved energy management of chiller systems by multivariate and data envelopment analyses," Applied Energy, Elsevier, vol. 92(C), pages 168-174.
    11. Coelho, Leandro dos Santos & Klein, Carlos Eduardo & Sabat, Samrat L. & Mariani, Viviana Cocco, 2014. "Optimal chiller loading for energy conservation using a new differential cuckoo search approach," Energy, Elsevier, vol. 75(C), pages 237-243.
    12. Yu, F.W. & Chan, K.T., 2010. "Simulation and electricity savings estimation of air-cooled centrifugal chiller system with mist pre-cooling," Applied Energy, Elsevier, vol. 87(4), pages 1198-1206, April.
    13. Yu, F.W. & Chan, K.T., 2008. "Optimization of water-cooled chiller system with load-based speed control," Applied Energy, Elsevier, vol. 85(10), pages 931-950, October.
    14. Chang, Yung-Chung, 2006. "An innovative approach for demand side management—optimal chiller loading by simulated annealing," Energy, Elsevier, vol. 31(12), pages 1883-1896.
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    Cited by:

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    4. Ho, W.T. & Yu, F.W., 2021. "Improved model and optimization for the energy performance of chiller system with diverse component staging," Energy, Elsevier, vol. 217(C).

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