摘要
由于在实际运行中受环境条件和用户行为等多种因素的影响,空气源热泵系统的实际运行能效与理论能效存在较大差异,切实提升其实际运行能效水平是亟待解决的问题。本文首先对基于空气源热泵能效提升的混合驱动模型进行描述,然后从预测和控制以及故障诊断2个方面阐述现有的混合驱动模型,并总结物理信息可融入数据驱动模型的方式,最终提出能效提升应重点关注的混合驱动可解释性建模的研究方向,为进一步提升空气源热泵实际运行能效提供参考。
Air source heat pump(ASHP)system is influenced by various factors such as environmental conditions and user behavior during actual operation,leading to a significant difference between actual operational efficiency and theoretical efficiency.Effectively improving the actual operational efficiency of the system is an urgent issue.A detailed description of the hybrid-driven model for energy efficiency improvement of air source heat pump is presented,then the existing hybrid-driven models are expounded from the perspectives of prediction and control,as well as fault diagnosis.The ways those physical information can be integrated into data-driven models are summarized.Finally,the research directions focusing on hybrid-driven interpretable modeling for energy efficiency improvement are proposed.This provides reference for further enhancing the actual operational energy efficiency of air source heat pump.
作者
郭焱华
王宁波
邵双全
陈建业
Guo Yanhua;Wang Ningbo;Shao Shuangquan;Chen Jianye(School of Energy and Power Engineering,Huazhong University of Science and Technology)
出处
《制冷与空调》
2024年第4期87-96,共10页
Refrigeration and Air-Conditioning
基金
国家自然科学基金(52076085)
华中科技大学学术前沿青年团队资助(2019QYTD10)。
关键词
空气源热泵
能效
数据驱动
混合模型
可解释性
air source heat pump
energy efficiency
data-driven
hybrid model
inter-pretability
