基于空气源热泵能效提升的物理和数据混合驱动模型研究进展
Review of hybrid physics and data-driven model for energy efficiency improvement of air source heat pump
郭焱华 1王宁波 1邵双全 1陈建业1
作者信息
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.
Abstract
Air source heat pump(ASHP)system is influenced by various factors such as environmental conditions and user behavior during actual operation,leading to a signifi-cant difference between actual operational efficiency and theoretical efficiency.Effectively improving the actual operational efficiency of the system is an urgent issue.A detailed de-scription 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 per-spectives of prediction and control,as well as fault diagnosis.The ways those physical in-formation can be integrated into data-driven models are summarized.Finally,the research directions focusing on hybrid-driven interpretable modeling for energy efficiency improve-ment are proposed.This provides reference for further enhancing the actual operational energy efficiency of air source heat pump.
关键词
空气源热泵/能效/数据驱动/混合模型/可解释性Key words
air source heat pump/energy efficiency/data-driven/hybrid model/inter-pretability引用本文复制引用
出版年
2024
NETL
NSTL
万方数据