能源互联网系统用户侧冷热负荷预测模型研究  

Research on Building Cooling and Heating Load Prediction Model on User's Side in Energy Internet System

作　　者：陈飞翔[1] 胥建群[1] 王晨杨 宋震[1] 刘明涛[2] 

机构地区：[1]东南大学,江苏省南京市210096 [2]江苏省电力设计院,江苏省南京市210024

出　　处：《中国电机工程学报》2015年第14期3678-3684,共7页Proceedings of the CSEE

摘　　要：发展能源互联网系统是建设资源节约型、环境友好型社会的必然要求,用户侧负荷预测是能源互联网系统设计和运行的基础。以夏热冬冷地区典型非工业生产建筑为研究对象,依据传热学的基本原理,将影响建筑负荷的因素分为运行属性和自有属性两类,以运行属性参数为基准,自有属性参数为修正,依据主元解耦方法,建立了典型建筑冷热负荷计算快速预测模型,并验证了数学模型的准确性,结果表明:所提出的快速计算模型具有较高的精度,对能源互联网系统用户侧的能量管理、调节和输配提供参考。Developing energy internet system（EIS） is a necessary requirement for building resource-saving and environment-friendly society. Energy load prediction on user＇s side is the foundation for the design and operation of EIS. By taking typical non-industry production buildings in hot summer and cold winter zone as the research object,on the basis of heat transfer principle,this paper divided the influence factors of building＇s load into two parts： operational attribute and self-attribute parameters. Based on the operational attribute parameters,self-attribute parameters used for modification,a quick cooling and heating load prediction model of typical buildings was established,and the accuracy of model was validated. The results show that the proposed model has higher precision,higher engineering practical value for the energy management,regulation,transmission and distribution on user＇s side.

关 键 词：能源互联网 分布式能源 非工业生产建筑 冷热负荷 能源负荷预测模型 Energy PLUS 

分 类 号：TK11[动力工程及工程热物理—热能工程]