摘要：应用灰色建模理论,对实验中测得的复合石膏板导热系数和储能陶粒粒度分布数据进行处理,建立了GM(1,N)模型用于分析储能陶粒粒度分布对相变储能石膏板导热系数的影响。结果表明:各粒级的储能陶粒对复合石膏板导热系数均有增强作用。随着温度的升高,粒度分布对导热系数的作用越弱;同时各粒级的陶粒对导热系数的作用效果也越接近。特别是,粒径在9～10 mm和10～14 mm之间的储能陶粒在各温度下对石膏板导热系数的增强作用均很小;而粒径在0～3 mm的储能陶粒在28℃时对导热系数有最大的增强作用。

关键词：多孔陶粒；相变储能材料；粒度分布；导热系数

Abstract：According to the data of tested conductivity factor of phase change materials （PCM） gypsum board and particle size distribution of power storage porous clays， the GM （1，N） model was set up at four test temperatures respectively on the basis of grey molding theory so as to analyze the influence of particle size distribution of power storage porous clays on conductivity factor of PCM gypsum board. The results indicated that the porous clays of all size enhanced the conductivity factor. The influence of particle size distribution of power storage porous clays on conductivity factor of PCM gypsum board became weaker and the effect of every size of clays also became approximately propinquity with the increase of test temperature. Especially， the porous clays with a size of 9～10 mm and 10～ 14 mm had little effect on conductivity factor under all test temperatures， whereas those with a size of 0～3 mm enhanced the conductivity factor most when the test temperature was 28 ℃. 

Keywords： porous clays； phase change materials； particle size distribution； conductivity factor