严寒地区地热采集多孔保温结构导热模型构建

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关键词：地热采集；保温结构；导热系数；表征单元体

中图分类号：TK52 文献标志码：A 文章编号：1003-5168（2025）11-0100-06

DOI：10.19968/j.cnki.hnkj.1003-5168.2025.11.021

Constructionof Thermal Conductivity Model for Porous Media Insulation Structureof Buried Pipes in Severe Cold Regions

KANG Bo'LIANG Wei²SANG Kunmiao³DONG Yushuang² WANG Zhiguo² （1.Daqing Maintenance and Emergency Repair Center，PipeChina， Daqing 163oOO， China;

2.School of Civil Engineering and Architecture，Northeast Petroleum University，Daqing 163318， China;

3.School of Mechanical Science and Engineering，Northeast Petroleum University，Daqing，163318， China）

Abstract： [Purposes] The collection and transportation of geothermal fluid heat energy are generally achieved by buried pipes，establishing an accurate thermal conductivity analysis model of buried pipe insulation structure can effectiv.ely regulate the heat loss in the process of heat energy transportation. [Methods] Based on the description and selection of porous media REV，two thermal conductivity models for wet porous media in severe cold areas were established，a simplified analysis model and improved analysis model.Taking the polystyrene insulation structure as an example，the relationship between the thermal conductivity of the material and the relevant parameters （water content and ice content）in the porous medium was studied and analyzed.[Findings] The simplified model is more suitable for analyzing the influence of water content and ice content on thermal conductivity of low-porosity materials;the improved model is more suitable for analyzing the influence of water content and ice content on thermal conductivityof high-porosity materials.[Conclusions] The thermal conductivity model of the buried pipe insulation structure established in this paper can more accurately analyze the heat transfer characteristics of the porous medium insulation structure.

Keywords：geothermal harvesting; insulation structure; thermal conductivity; representative elementary volume

0 引言

在"碳达峰"和“碳中和”目标背景下，我国目前以化石能源为主体的能源供给及消费结构，需要快速向化石能源清洁化、可再生能源规模化、集中分散协同化和多能管理智慧化等方向转型[1。（剩余6030字）