家电科技 ›› 2022, Vol. 0 ›› Issue (zk): 354-357.doi: 10.19784/j.cnki.issn1672-0172.2022.99.076

• 第二部分 制冷与空调 • 上一篇    下一篇

基于回归预测算法的家用空调节能方法研究

刘湘, 梁勇超, 熊军, 韩东, 徐经碧, 胡作平   

  1. TCL空调器(中山)有限公司 广东中山 528427
  • 发布日期:2023-03-28
  • 作者简介:刘湘,硕士学位,研究方向:主要从事空调变频技术研究。地址:广东省中山市南头镇南头大道西59号TCL空调器(中山)有限公司。E-mail:kt_liuxiang@tcl.com。

Research on air conditioner energy saving method based on regression analysis

LIU Xiang, LIANG Yongchao, XIONG Jun, HAN Dong, XU Jingbi, HU Zuoping   

  1. TCL Air Conditioner (Zhong Shan) Co., Ltd. Zhongshan 528427
  • Published:2023-03-28

摘要: 随着双碳战略的推进,空调节能水平越来越重要,基于此,提出一种基于回归预测算法的家用空调节能方法,通过建立空调压缩机运行时间与室内温差之间的数学模型,并利用回归算法对其系数求解,进而对温差进行预测并提前调整频率,从而消除因过度除湿和温度过调引起的能源浪费。实验结果表明,该方法节能高达10%,具有很大的推广价值。

关键词: 回归分析, 预测, 节能

Abstract: With the promotion of the carbon peak and neutrality strategy, air conditioner energy saving is becoming more and more important. So a household air conditioner energy saving method based on regression analysis is proposed. Establish a model between the compressor running time and indoor temperature difference, and solve its coefficients through regression algorithm, the temperature difference can be calculated and the compressor frequency can be adjusted in advance, so the energy waste caused by excessive dehumidification and temperature adjustment can be avoided. The experiment results show that this method can save energy up to 10% which can be used widely.

Key words: Regression analysis, Calculate, Energy saving

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