摘要
本文简要介绍了建筑能源管理(BEM)的概念.并从5个方面阐述了BEM对人工智能(AI)技术的需求,即楼宇控制需要由从顶到底的基于物理模型的控制模式,转变为从底到顶的基于数据的控制模式;建筑能源系统由单一能源转变为多能源,需要解决可变可再生能源的不稳定问题;BEM的管理模型,需要从白箱转变为灰箱,甚至黑箱.此外还有负荷预测问题和非结构化数据的处理问题.文章还提出了BEM系统架构、迁移学习、物联网构建、AI与BIM的关系,以及负荷反推等需要研究的问题.文章并对人工智能在BEM领域的发展提出了建议.
The paper briefly introduced the concept of Building Energy Management( BEM),and elaborated on BEM’s demands for artificial intelligence( AI) technology from five aspects,that is,building control needs to change from a top-to-bottom physical model-based control mode to a bottom-to-top data-based control mode;the transformation from a single energy source to a multi-energy source needs to solve the instability of variable renewable energy;the management model of BEM needs to change from a white box to a gray box,or even a black box,as well as load forecasting issues and unstructured data processing issues. This paper also proposed issues to be studied,such as BEM system architecture,transfer learning,construction of IoT,the relationship between AI and BIM,and backcasting of load. This paper also put forward suggestions on the development of artificial intelligence in the BEM field.
作者
龙惟定
LONG Weiding(Sino-German College of Applied Sciences,Tongji University,Shanghai 201804,China)
出处
《建筑科学》
CSCD
北大核心
2021年第2期127-136,145,共11页
Building Science
关键词
建筑能源管理
人工智能
负荷预测
负荷反推
物联网
多代理系统
信息物理系统
building energy management(BEM)
artificial intelligence(AI)
load forecasting
load backcasting
internet of things(IoT)
multi-agent system(MAS)
cyber physical system(CPS)
