家电科技 ›› 2025, Vol. 0 ›› Issue (zk): 259-262.doi: 10.19784/j.cnki.issn1672-0172.2025.99.054

• 第二部分 制冷与空调 • 上一篇    下一篇

基于移动空调的冷凝器翅片优化设计与实验验证

杨景洋1, 胡方舒2, 刘丹华1, 郭盛1   

  1. 1.海信(广东)空调有限公司 广东江门 529051;
    2.海信家电集团股份有限公司 山东青岛 266000
  • 发布日期:2025-12-30
  • 作者简介:杨景洋,硕士学位。研究方向:家用空调制冷系统优化研究。地址:广东省佛山市顺德区容桂街道丰业路2号。E-mail:yangjingyang@hisense.com。

Optimal design and experimental verification of condenser fins based on mobile air conditioners

YANG Jingyang1, HU Fangshu2, LIU Danhua1, GUO Sheng1   

  1. 1. Hisense (Guangdong) Air Conditioning Co., Ltd. Jiangmen 529051;
    2. Hisense Home Appliances Group Co., Ltd. Qingdao 266000
  • Published:2025-12-30

摘要: 随着空调行业竞争的加剧,作为移动空调核心部件的管翅式换热器,其优化设计已成为行业研究重点。结合数值仿真,提出一种新型冷凝器翅片设计方案,通过对换热器单体测试以及整机实验对比验证,发现相较于原方案,采用新翅片使得换热器单体换热量降低了3.5%~4.2%;但整机性能衰减显著低于单体(实测SACC仅降低0.14%,CEER也仅下降1.2%左右);此外,单台换热器材料成本可以降低8.4%。本文的工作将为行业提供“小幅性能妥协换取显著降本”的参考思路。

关键词: 管翅式换热器, 移动空调, 成本优化, 性能对比

Abstract: Amid escalating market competition in the air conditioning industry, the optimization of tube-fin heat exchanger design, a critical component in mobile air conditioning systems, has emerged as a central area of research within the sector. Based on numerical simulations, introduces a novel design approach for condenser fins. Through systematic testing of individual heat exchangers and comprehensive validation using full-scale machine experiments, it is demonstrated that, compared to the original design, the implementation of the new fin configuration leads to a 3.5% to 4.2% reduction in the heat exchange capacity of individual components. However, the overall system performance degradation remains significantly lower than that of individual units, with the measured SACC decreasing by only 0.14% and CEER declining by approximately 1.2%. Additionally, the material cost of a single heat exchanger can be reduced by 8.4%. These findings offer the industry a strategic reference for achieving notable cost reductions through minimal performance trade-offs.

Key words: Tube-and-fin heat exchanger, Portable air conditioner, Cost optimization, Performance comparison

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