five

Dataset: Single Heat Pump Simulation - Raw, 1000 Data Points

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DataCite Commons2025-02-27 更新2025-04-17 收录
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https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/DARUS-3650
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This data set serves as training data for modelling the temperature field emanating from a groundwater heat pump. It is simulated with Pflotran and saved in h5 format. It contains 1000 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 100 m x 1280 m with 20 x 256 cells. The varying parameters of the data set are pressure and permeability. Both are constant within a data point, but vary across the data set. Other parameters that define the data set, such as porosity, are chosen to be as close as possible to reality.<br> Source: "Die hydraulischen Grundwasserverhältnisse des quartären und des oberflächennahen tertiären Grundwasserleiters im Großraum München", Geologica Bavarica Volume 122. <br> Generated with scripts from <a href="https://github.com/JuliaPelzer/Dataset-generation-with-Pflotran">Dataset generation with Pflotran</a> (commit 94daf52) with arguments given in inputs/args.yaml.

该数据集用作地下水热泵温度场建模的训练数据。它通过Pflotran模拟生成,并以h5格式存储。数据集包含1000个数据点,每个数据点对应一次模拟运行,直至达到近稳态。每个数据点的空间范围为100米×1280米,划分为20×256个单元格。数据集中的可变参数为压力和渗透率,二者在单个数据点内保持恒定,但在整个数据集中存在差异。定义数据集的其他参数(如孔隙度)均尽可能接近实际情况。
提供机构:
DaRUS
创建时间:
2023-07-31
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