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影响垂直U型地埋管换热量的多因素回归分析

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地埋管换热过程与换热器结构、地下热物性、运行参数等多因素相关,在设计研究的过程中往往难以整体考虑所有因素,在此采用多因素回归分析的方法预测地埋管换热器在一系列运行工况下的换热量.基于三维热渗耦合垂直U型地埋管数值模型,研究分析了导热系数、体积比热容、进水流量、进水温度、土壤孔隙率、地下水渗透速度和钻孔深度对地埋管换热的影响,进一步按正交试验设计计算得出64组工况下的地埋管延米换热量,以多种因素作为自变量输入,延米换热量作为因变量输出,得到了地埋管换热量的多元回归预测方程,通过地埋管换热量试验验证表明,多元回归预测方程具有较好的精度,对于指导地埋管换热器的理论研究及工程设计具有参考意义.
Multi-factor Regression Analysis on Factors Affecting the Heat Transfer of Vertical U-type Ground Heat Exchanger
The heat transfer process of a ground heat exchanger is related to multiple factors,such as structure,underground thermophysical properties,and operating parameters.Given that it is impossible to consider all relevant factors in design and research,this study adopted multi-factor regression analysis to predict the heat transfer of a ground heat exchanger under a series of working conditions.On the basis of a 3D numerical model of coupled thermal conduction and groundwa-ter seepage for the vertical U-type ground heat exchanger,this study explored the effects of thermal conductivity,volumetric specific heat,inlet water flow,inlet water temperature,soil porosity,ground-water seepage rate,and drilling depth on the heat transfer of the ground heat exchanger.Relying on orthogonal test design,it calculated the heat transfer per meter of the ground heat exchanger under 64 groups of working conditions.It also built a multiple regression forecast equation for the heat transfer of the ground heat exchanger by taking multiple factors as the independent variable inputs and the heat transfer per meter as the dependent variable output.According to the experi-mental verification results of heat transfer,the equation had a high precision,and presented some significance for guiding the theoretical research and engineering design of ground heat exchangers.

vertical U-type ground heat exchangernumerical modelmulti-factor regression anal-ysisexperimental verification

陈尚沅、李媛媛、邸莎、张建利、刘锦红、陈飞

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海军研究院,北京 100071

北京特种工程设计研究院,北京 100028

垂直U型地埋管 数值模型 多因素回归分析 试验验证

2024

工程热物理学报
中国工程热物理学会 中国科学院工程热物理研究所

工程热物理学报

CSTPCD北大核心
影响因子:0.4
ISSN:0253-231X
年,卷(期):2024.45(2)
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