摘要
建筑热负荷通常在设计之初即被确定,然而随着建筑的使用以及室外天气因素的不确定性,建筑实际所需热负荷时刻变化,造成建筑热网热力失调,本文针对该问题,提出了1种基于模型预测控制的建筑热力入口智能调节方法,首先基于能耗监测平台的实时监测数据通过子空间模型辨识方法对某建筑热力系统进行模型辨识,在此基础上,结合模型预测控制的方法进行了模拟分析,研究了热力入口智能调节方法的控制特性,并与传统PID控制结果进行了比较分析。结果表明:该方法能够较好地控制建筑室内温度;与PID控制相比,在同等室外天气条件下,模型预测控制具有精度更高,稳定性更好,鲁棒性更强的特点。
The thermal load of buildings is usually determined at the beginning of design,however,with the use of buildings and the uncertainty of outdoor weather factors,the actual load changes,causing the thermal and hydraulic imbalance.Targeting at solving this problem,this paper proposed an intelligent regulation method at building heat entrance based on Model Predictive Control.Based on the real-time monitoring data of the energy consumption monitoring platform,the model identification of a building thermal system was first carried out through the subspace model identification method.Based on that,the model predictive control method was used for simulation analysis to study the thermal entrance control characteristics of intelligent adjustment method,and compare and analyze the results with those of traditional PID control.The results show that the method can properly control indoor temperature.Compared with PID control,the model predictive control has higher accuracy,better stability and stronger robustness under the same outdoor weather conditions.
作者
马良栋
张继谊
李志伟
朱凯
MA Liangdong;ZHANG Jiyi;LI Zhiwei;ZHU Kai(Dalian University of Technology,Dalian,116024,Liaoning,China;Dalian Qunzhi Swarm Intelligent Technology Co.Ltd,Dalian,116023,Liaoning,China)
出处
《建筑科学》
CSCD
北大核心
2021年第12期85-93,共9页
Building Science
基金
国家重点研发计划项目“新型建筑智能化系统平台技术”(2017YFC0704100)。
关键词
集中供热系统
热力入口
模型预测控制
模型辨识
centralized heating system
building heat entrance
model predictive control
model identification
