家电科技 ›› 2024, Vol. 0 ›› Issue (zk): 272-276.doi: 10.19784/j.cnki.issn1672-0172.2024.99.055

• 第二部分 制冷与空调 • 上一篇    下一篇

空调器冷热负荷研究进展

孙轩1, 张子祺2, 蔡宁2, 杨双2, 叶至壮2, 王伯燕2   

  1. 1.中国家用电器研究院 北京 100037;
    2.中家院(北京)检测认证有限公司 北京 100176
  • 出版日期:2024-12-10 发布日期:2024-12-31
  • 通讯作者: 王伯燕,工程师,学士学位。研究方向:空调器、除湿机等制冷产品的检测、认证及相关产品标准和新项目的研究。E-mail:wangby@cheari.com。
  • 作者简介:孙轩,高级工程师,学士学位。研究方向:国内国际电气领域能力验证项目的策划及实施,实验室间比对,相关标准和新项目的研究。E-mail:sunx@cheari.com。

Research progress on cooling and heating loads of air conditioners

SUN Xuan1, ZHANG Ziqi2, CAI Ning2, YANG Shuang2, YE Zhizhuang2, WANG Boyan2   

  1. 1. China Household Electric Appliances Research Institute Beijing 100037;
    2. CHEARI (Beijing) Certification & Testing Co., Ltd. Beijing 100176
  • Online:2024-12-10 Published:2024-12-31

摘要: 空调器负荷具有数量大、占比高、具备储能能力、使用周期与用电高峰期相对应等特点。空调器负荷研究已在我国电力系统调度中得到应用,提升电力系统灵活性,整体调控潜力巨大。空调器负荷建模是空调系统设计、运行和优化的基础,随着技术发展,模型将更加集成化和智能化。空调器作为用户侧柔性资源,在电力系统中发挥着重要作用,有助于提升电力系统的调节能力和运行效率。未来,空调器负荷建模将与多个学科交叉融合,推动创新技术的发展,为智能建筑提供更加智能化的解决方案。

关键词: 空调器, 空调负荷, 需求响应, 数学建模

Abstract: The load of air conditioners has the characteristics of large quantity, high proportion, energy storage capacity, and corresponding service life to peak electricity consumption periods. The study of air conditioner load has been applied in the dispatch of China's power system, improving the flexibility of the power system and having great potential for overall regulation. Air conditioner load modeling is the foundation of air conditioning system design, operation, and optimization. With the development of technology, models will become more integrated and intelligent. As a flexible resource on the user side, air conditioners play an important role in the power system, helping to improve the regulation capability and operational efficiency of the power system. In the future, air conditioner load modeling will be integrated with multiple disciplines to promote the development of innovative technologies and provide more intelligent solutions for smart buildings.

Key words: Air conditioning, Air conditioning loads, Demand response, Mathematics modeling

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