储能科学与技术 ›› 2024, Vol. 13 ›› Issue (5): 1592-1594.doi: 10.19799/j.cnki.2095-4239.2024.0276

• 储能系统与工程 • 上一篇    下一篇

基于储能和智能控制的空调系统能耗优化研究

马青有   

  1. 山西工程科技职业大学,山西 晋中 030600
  • 收稿日期:2024-03-29 修回日期:2024-04-02 出版日期:2024-05-28 发布日期:2024-05-28
  • 作者简介:第一联系人:马青有(1980—),男,硕士,讲师,研究方向为供热、通风、空调、节能等,E-mail:84516450@qq.com

Research on energy consumption optimization of air conditioning system based on energy storage and intelligent control

Qingyou MA   

  1. Shanxi Vocational University of Engineering Science and Technology, Jinzhong 030600, Shanxi, China
  • Received:2024-03-29 Revised:2024-04-02 Online:2024-05-28 Published:2024-05-28

摘要:

为了缓解城市用电高峰,文章提出了在城市郊区建设大型空调专用储电系统的设想,该系统一方面可以在平时对郊区的电量进行存储,在高峰段时向市区输送;另一方面配备太阳能板吸收太阳能,增加市区电力供应。在智能空调系统设计方面,文章提出了基于热舒适度和气温大数据的空调智能控制系统,结合决策算法实现对空调能耗的最优设计。

关键词: 储能, 智能控制, 空调能耗, 能耗优化, 设计研究

Abstract:

In order to alleviate the peak of urban electricity consumption, the paper puts forward the idea of building a large air conditioning power storage system in the suburbs of the city. On the one hand, the system can store the electricity in the suburbs and transmit it to the urban area during the peak period; on the other hand, it is equipped with solar panels to absorb the solar energy and increase the urban power supply. In the aspect of intelligent air conditioning system design, this paper proposes the intelligent control system of air conditioning based on thermal comfort and temperature big data, and realizes the optimal design of air conditioning energy consumption combined with the decision algorithm.

Key words: energy storage, intelligent control, energy consumption of air conditioning, energy consumption optimization, design research

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