Novel control for hybrid refrigeration and heating system
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( 1. Zhejiang Huayun Clean Energy Co., Ltd., Hangzhou 311112, China;2. Zhejiang Institute of Communications,Hangzhou 311112, China;3. Jiangxi New Energy Technology Institute, Xinyu 338004, China)

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    Abstract:

    The difficulty of hybrid refrigeration and heating system is how to switch the cold and heat source reasonably. An improved DBN network is used to predict short-term, medium-term and long-term cooling and heating loads, and the accuracy of the model is verified by experimental data. On the basis of load prediction, health assessment technology is used to evaluate the short-term, medium-term and long-term health status of ground sourceheat pump, and corresponding control is carried out according to the assessment results, so as to achieve long-term stable and efficient operation. Finally, the performance of the two different control methods is compared, and the coefficient of performance of the host is improved by 8.5% after adopting the new control method. In conclusion, the control method based on health assessment technology is beneficial to the efficient operation of hybrid system.

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张 灿,姚嫣菲,徐 坚.混合式制冷制热系统控制方法研究[J].电力需求侧管理英文版,2023,25(1):39-45.

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History
  • Received:November 03,2022
  • Revised:December 06,2022
  • Adopted:
  • Online: February 07,2023
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