复合相变储能墙体热特性实验及参数辨识方法  

Research into heat characteristic experiment and parameter distinguishing method of compound phase change and energy storage wallboard

作　　者：冯国会[1] 高甫生[1] 付英会[2] 吕石磊[2] 李国建[2] 曹广宇[2] 

机构地区：[1]哈尔滨工业大学市政环境工程学院,黑龙江哈尔滨150090 [2]沈阳建筑大学市政与环境工程学院,辽宁沈阳110168

出　　处：《沈阳建筑工程学院学报（自然科学版）》2004年第3期207-210,共4页Journal of Shenyang Architectural and Civil Engineering University(Nature Science)

基　　金：辽宁省自然科学基金项目(2001101013);辽宁省教育厅科技攻关项目(202083063)

摘　　要：通过进行复合相变储能墙体换热系数的测量与辨识,能够正确确定相变储能墙体的内表面换热系数,准确地进行负荷计算和建筑能耗分析,为建筑环境的热舒适性设计和系统选择提供可靠的依据.本研究利用数据采集系统采集了相变储能墙体表面热流和墙体表面与室内空气之间的温差这两个重要参数,利用遗传算法和最小二乘法分别对采样数据进行辨识,最终得到了各自的表面换热系数估算值.比较热流实测值和遗传算法的预测值可知,预测数据与实验数据非常吻合,说明遗传算法是一种通过墙体表面的动态实验数据,获得相变储能墙体表面换热系数的有效方法.Measuring and distinguishing the exchanging heat coefficient of compound phase change and energy storage wallboard can confirm the exchanging heat coefficient correctly on indoor surface of phase change and energy storage wallboard, make certain load calculation and building energy consumption analysis accurate, and provide reliable basis for the heat comfort design and system choice of architecture environment. Data collecting system is employed to collect two important parameters: the heat flow of wall surface and the difference in temperature between the indoor air and the wall surface. Then the sample data are distinguished respectively with the genetic algorithm and least square method. The estimating data of surface exchanging heat coefficient are reached finally. The predictable data and experimental data are very identical while comparing the surveying data of heat flow and predictable data of genetic algorithm. It is proved that the genetic algorithm is an effective method for obtaining surface exchanging heat coefficient of phase change and energy storage wallboard through dynamic experimental data of wall surface.

关 键 词：相变储能 相变墙体 系统辨识 表面换热系数 表面热流 遗传算法 最小二乘法 

分 类 号：TK121[动力工程及工程热物理—工程热物理]