In the present work, a novel way to simulate the soil temperature profiles is developed. Soil temperature profiles are essential to know the Stabilized Temperature (ST). In topics related to low depth geothermal energy, sustainable building, renewable energies, and energy efficiency is essential to know both soil temperature profiles and the ST in the design phase. The first way to predict soil temperature profiles was by solving the heat conduction equation by Fourier series. The main problem with the analytical solution is the environmental factors. By omitting these conditions, results agree only with some regions where environmental conditions have less influence on the subsoil temperature. The presented simulator allows using variables used in the analytical solution, likewise environmental factors like relative humidity and rain duration. Besides, the change of thermo-physical properties along the year is considered. The results of the simulator are compared against experimental data in situ and the analytical solution used previously. The comparison results point out that the new simulator reproduces up to 80% better the soil temperature profiles than the analytical solution by Fourier series.

在目前的工作中，开发了一种模拟土壤温度剖面的新方法。土壤温度剖面对于了解稳定温度 (ST) 至关重要。在与低深度地热能、可持续建筑、可再生能源和能源效率相关的主题中，了解土壤温度剖面和设计阶段的 ST 至关重要。预测土壤温度分布的第一种方法是通过傅立叶级数求解热传导方程。解析解的主要问题是环境因素。通过省略这些条件，结果仅与环境条件对底土温度影响较小的一些区域一致。所提供的模拟器允许使用分析解决方案中使用的变量，同样是环境因素，如相对湿度和降雨持续时间。此外，还考虑了热物理性质随年份的变化。模拟器的结果与实验数据进行比较原位和以前使用的分析解决方案。比较结果表明，与傅立叶级数解析解相比，新模拟器再现的土壤温度曲线最高可达 80%。