预测控制在顶棚辐射结合下送风供冷系统中的试验研究  

Study on the Test of Predictive Control on Radiant Ceiling Cooling Combined with Underfloor Ventilation System

作　　者：张东亮[1] 黄晓庆[1] 蔡宁[1] ZHANG Dongliang;HUANG Xiaoqing;CAI Ning(Nanjing Institute of Technology,Nanjing 211167,China)

机构地区：[1]南京工程学院,南京211167

出　　处：《建筑科学》2019年第2期56-61,共6页Building Science

基　　金：国家自然科学基金项目"辐射与对流复合式供冷系统热湿传递动态特性与多目标预测控制研究"(51408302);江苏省高校"青蓝工移"(2016);南京工程学院科研基金项目(CKJA201803)

摘　　要：本文将预测控制应用于顶棚辐射结合下送风供冷系统,以室内空气温、湿度和作用温度为被控量,以系统能耗指标EI与热舒适指标PMV-PPD作为控制目标,以顶棚表面防结露为控制约束,基于顶棚辐射结合下送风供冷系统热湿传递模型,进行模型预测控制器开发与应用,并将其控制性能与PID控制性能进行试验比较,结果表明,与PID控制相比,模型预测控制的热舒适指标PMV-PPD降至热舒适范围所需时间更少,对设定值的响应更快,控制更稳定,实验期间,模型预测控制的系统能耗指标EI比PID控制降低了13.93%。因此,模型预测控制在保证热舒适的同时提升了系统的节能性,具有更大的优越性。In this paper,predictive control technique was applied to radiant ceiling cooling integrated with underfloor ventilation(RCCUV)system.Controlled variables included indoor air temperature,indoor air humidity,and operative temperature.Both energy consumption index EI and thermal comfort index PMV-PPD were control targets.Ceiling surface anti-condensation was control constraint.Model predictive controller was developed based on heat and moisture transfer model of RCCUV system.And its control performance was compared with that of PID controller by experiments.The results indicated that compared with PID controller,model predictive controller(MPC)responsed faster and more steady to the setpoint;MPC controller needed less time to reduce PMV-PPD to thermal comfort recommended range;MPC reduced energy consumption index EI by 13.93%during experimental period.MPC improves system energy saving when keeping equivalent thermal comfort.Thus,there are great superiorities for the application of model predictive control technique on RCCUV system.

关 键 词：顶棚辐射 下送风 模型预测控制 

分 类 号：TU831[建筑科学—供热、供燃气、通风及空调工程]