大直径能源井地热田热响应试验:一种实用的热物性参数计算方法

0 ENERGY & FUELS
Jie Zhou , Xin Wang , Zhenming Shi , Jie Xu , Liang Lv
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引用次数: 0

摘要

在能量井热响应实验中,准确的传热模型是实时有效测定周围土体热特性的关键。本文提出了一种用于模拟能源竖井现场热响应试验的新型圆柱形混凝土试验结构,旨在降低试验误差和设计成本。基于叠加理论,我们建立了一个考虑结构和土壤热特性差异的非稳态传热模型,并给出了一个实际的计算方法。结果表明,与传统的线性热源模型和空心柱热源模型相比,该模型更准确地描述了能量轴内的传热过程。这种改进有助于避免由于忽略结构中材料差异而导致的计算错误。此外,该模型有效地计算了结构周围土壤的导热系数,以及结构内部的热阻。在保持与固体柱热源模型相当的计算精度的同时,计算工作量减少了一半以上。实用的计算方法适用于各种工程应用场景,既保证了数据处理的准确性,又大大提高了现场热物性测试数据分析的便利性。研究结果为能量轴的热响应测试和优化设计提供了有价值的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geothermal field thermal response experiment of large diameter energy shaft: A practical calculation method for thermal property parameters
In the thermal response experiment of energy shafts, an accurate heat transfer model is essential for effectively determining the thermal properties of the surrounding soil in real-time. This paper presents an innovative cylindrical concrete test structure designed for field thermal response experiments of simulated energy shafts, aiming to reduce testing errors and design costs. Based on superposition theory, we have developed an unsteady heat transfer model that accounts for the differences in thermal properties between structures and soil, along with a practical calculation method for field applications. The results indicate that, compared to traditional linear heat source models and hollow column source models, the proposed model more accurately describes the heat transfer process in energy shafts. This improvement helps avoid calculation errors associated with neglecting material differences in the structure. Furthermore, the model effectively calculates the thermal conductivity of the soil surrounding the structure, as well as the thermal resistance within the structure. While maintaining a level of calculation accuracy comparable to that of solid column heat source models, the computational workload is reduced by more than half. Additionally, the practical calculation method is well-suited for various engineering application scenarios, ensuring both the accuracy of data processing and significantly enhancing the convenience of analyzing field thermal physical test data. The findings of this research provide a valuable reference for thermal response testing and the optimal design of energy shafts.
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