Data for "Estimation and prediction of shallow ground source heat resources subjected to complex soil and atmospheric boundary conditions"

In this paper, an advanced modelling tool, based on a coupled Thermal-Hydraulic (TH) modelling framework, is presented to calculate and predict the temperature and soil-moisture behaviour of shallow ground under complex atmospheric, temperature and hydraulic boundary conditions. Atmospheric data e.g., solar radiation, rainfall, humidity, air temperature, and wind velocity is considered together with subsurface soil data to investigate thermal and hydraulic responses of the ground, and its individual soil layers. The storage and flux terms of the TH model have been provided. Furthermore, a transient method for estimating shallow ground source heat (SGSH) resources is proposed based on the simulated temperature and saturation distributions of the ground. The model is applied to predict the long-term ground temperature and saturation level of a test site located in Warwickshire County, UK. The soil profile from the ground surface is categorized into three layers, that is, Layer 1: 0-0.3 m sandy clay loam, Layer 2: 0.3-2.4 m silty clay, and Layer 3: > 2.4 m mudstone. A Base case was established based on borehole logs and material parameters of the site. Four more cases are designed to study the influences of the soil types and hydraulic drainage conditions on the ground temperature and saturation, and then the heat content of the ground. Different soil profiles were employed in Case 1 and Case 2 compared to the Base case. Layers 1 and 2 in Case 1 are silty clay, whereas Layers 1 and 2 in Case 2 are sandy clay loam. In contrast with the Base case, the saturated hydraulic conductivities of Layer 2 in Case 3 and Layer 1 in Case 4 were increased by 1000 times. Data of the neat heat content per unit area in Year 3 of the Base case, Case 1, Case 2, Case 3, and Case 4 are listed.Research results based upon these data are published at https://doi.org/10.1016/j.renene.2022.07.148

本文提出了一种基于耦合热-水力（TH）建模框架的高级建模工具，旨在计算和预测在复杂的大气、温度和水力边界条件下浅层地面的温度和土壤湿度变化。该工具综合考虑了大气数据，例如太阳辐射、降雨、湿度、空气温度和风速，以及地下土壤数据，以研究地面的热力和水力响应及其各层土壤。TH模型中的存储和通量项已提供。此外，基于地面模拟的温度和饱和度分布，提出了一种估算浅层地热源（SGSH）资源的瞬态方法。该模型被应用于预测位于英国沃里克郡的一个测试场地的长期地面温度和饱和度水平。从地面表面到地面的土壤剖面被划分为三层：第一层：0-0.3米沙质黏壤土；第二层：0.3-2.4米粉质黏土；第三层：大于2.4米泥岩。基于钻孔日志和场地材料参数建立了基线案例。另外设计了四个案例，以研究土壤类型和水力排水条件对地面温度和饱和度，进而对地热含量的影响。与基线案例相比，案例1和案例2采用了不同的土壤剖面。案例1中第一层和第二层为粉质黏土，而案例2中第一层和第二层为沙质黏壤土。与基线案例相比，案例3中第二层的饱和水力传导率和案例4中第一层的饱和水力传导率分别增加了1000倍。基线案例、案例1、案例2、案例3和案例4在第三年的单位面积纯净热含量数据已列出。基于这些数据的研究成果已发表在https://doi.org/10.1016/j.renene.2022.07.148。