Novel control for hybrid refrigeration and heating system

张 灿; 姚嫣菲; 徐 坚

doi:10.3969/j.issn.1009-1831.2023.01.007

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Novel control for hybrid refrigeration and heating system

更新时间：2026-03-05

- Novel control for hybrid refrigeration and heating system
- Vol. 25, Issue 1, (2023)
- 作者机构：
  
  1. 浙江华云清洁能源有限公司,杭州,311112
  2. 浙江交通职业技术学院,杭州,311112
  3. 江西新能源科技职业学院,江西,新余,338004
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2023.01.007
  CLC：
- Published：2023
- 稿件说明：
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张灿, 姚嫣菲, 徐坚. Novel control for hybrid refrigeration and heating system[J]. 2023, 25(1).
DOI：

张灿, 姚嫣菲, 徐坚. Novel control for hybrid refrigeration and heating system[J]. 2023, 25(1). DOI： 10.3969/j.issn.1009-1831.2023.01.007.

摘要

混合式制冷制热系统的控制难点在于如何合理切换冷热源。采用改进的DBN网络进行短期、中期和长期冷热负荷预测，并通过实测数据验证了模型的准确性。在负荷预测的基础上采用健康评估技术，对地源热泵的短期、中期和长期健康状态进行评估，并根据评估结果进行相应控制，从而实现长期稳定高效运行。最后，对比了两种不同控制方法的运行情况，采用新控制方法后，主机性能系数提高8.5%。结论验证，基于健康评估技术的控制方法有利于混合式系统的高效运行。

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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