模型预测控制在建筑能源系统中的机遇与应用  

Opportunities and Applications of Model Predictive Control in Building Energy Systems

作　　者：黄金森 朱兵[1] 张一鸣[1] 殷佳辉 HUANG Jinsen;ZHU Bing;ZHANG Yiming;YIN Jiahui(Guizhou University,Guiyang 550025,China)

机构地区：[1]贵州大学,贵阳550025

出　　处：《建筑科学》2024年第8期281-290,共10页Building Science

基　　金：贵州省科技支撑计划项目(No.2017YFB0902100)。

摘　　要：由于建筑能源系统设备组成复杂、能源供应形式较多、负荷需求多变,在传统PID控制下能源利用效率不高,建筑能源系统的运行控制策略仍存在很大的优化节能空间。模型预测控制作为1种能够利用建筑模型、干扰预测和优化算法来提高建筑控制性能的技术受到学者们的广泛关注。结合最新的一些研究,分析了MPC基本原理、影响MPC性能和实际实施中的关键因素,为相关科研和实践领域的研究人员提供了先进HVAC控制的未来方案。Due to the complex composition of building energy system equipment,more forms of energy supply,and variable load demand,the energy utilization efficiency is not high under the traditional PID control,and there is still a lot of room for optimization and energy saving in the operation and control strategy of building energy system.Model predictive control as a technology that can use building models,disturbance prediction and optimization algorithms to improve the performance of building control has received extensive attention from scholars.Combined with some recent researches,the basic principles of MPC,the key factors affecting MPC performance and practical implementation are analyzed to provide future solutions for advanced HVAC control for researchers in related scientific and practical fields.

关 键 词：模型预测控制 建筑能源系统建模 运行优化 HVAC控制 智能建筑 

分 类 号：TU831[建筑科学—供热、供燃气、通风及空调工程]