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Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System

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doi.org2020-07-21 更新2025-03-26 收录
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https://doi.org/10.18419/darus-633
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This dataset contains two .mat files, one pre-processed (direct simulation results) and the other one is with added noise. The simulated problem is a thermochemical energy storage problem using CaO/Ca(OH)2 as the material choice. This dataset is used as input-output data pairs necessary for training, validating, and testing the ANN. The input data consist of CaO density, Ca(OH)2 density, CaO specific heat capacity, Ca(OH)2, porosity, permeability, reaction rate constant, initial and outlet pressure, initial temperature, inlet temperature, N2 molar inflow rate, H2O molar inflow rate, and specific reaction enthalpy. The output data consist of pressure, temperature, CaO volume fraction, and H2O molar fraction. Additionally, there is an automated script file for the DuMuX run.

本数据集包含两个.mat文件,其中之一为预处理文件(直接模拟结果),另一个则加入了噪声。模拟问题涉及以CaO/Ca(OH)2为材料选择的热化学储能问题。此数据集作为训练、验证和测试人工神经网络(ANN)所必需的输入-输出数据对而被使用。输入数据包括CaO密度、Ca(OH)2密度、CaO比热容、Ca(OH)2、孔隙率、渗透率、反应速率常数、初始压力和出口压力、初始温度、入口温度、N2摩尔流入速率、H2O摩尔流入速率以及特定反应焓。输出数据包括压力、温度、CaO体积分数和H2O摩尔分数。此外,还包括用于DuMuX运行的自动化脚本文件。
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