DOI: 10.15986-j.1006-7930.2020.04.018
基于热平衡法分析了集热蓄热墙的结构参数对其对流、导热传热量的影响,发现不同结构参数的集热蓄热墙的逐时传热量与其极大值的比值为高度重合的一簇曲线,进而提出对流、导热传热因子表征该簇曲线.在得到不同地区的对流、导热传热因子后,只要得到该地区结构参数与对流、导热传热量极大值的关系进而就可以得到逐时对流、导热传热量.因此,通过回归分析得到集热蓄热墙4个关键结构参数与对流、导热传热量极大值之间的多元非线性回归模型.最后对比分析了回归模型与理论计算的传热量.结果表明,各典型地区对流、导热传热量回归模型的R2分别在0.96～0.97、0.94～0.95之间,rRSME分别在0.10～0.14、0.24～0.28之间.表明回归模型能较为准确预测集热蓄热墙逐时传热量,满足工程计算精度要求,可为被动房设计提供一定指导.
Based on the heat balance method, the influence of the structural parameters of tromble wall on the convection and heat transfer is analyzed. It is found that the ratio of the hourly heat transfer capacity of the tromble wall with different structural parameters to its maximum value is highly coincident. A cluster of curves is proposed to characterize the cluster curve by convective and thermal conduction heat transfer coefficients. After obtaining the convection and heat transfer coefficients of different regions, the relationship between the structural parameters of the region and the maximum values of convection and heat transfer heat transfer can be obtained, and the convection and heat conduction heat transfer can also be obtained. Therefore, a multivariate nonlinear regression model between four key structural parameters of the heat collecting wall and the maximum value of convection and heat transfer is obtained by regression analysis. Finally, the heat transfer of the regression model and the theoretical calculation is analyzed. Rresults show that the R2 of the convective and heat transfer models in typical areas are between 0.96～0.97 and 0.94～0.95, and rRSME are between 0.10～0.14 and 0.24～0.28, respectively. It shows that the regression model can accurately predict the heat transfer capacity of the collector heat storage wall and meet the engineering calculation accuracy requirements, which can provide some guidance for passive house design.
