1D Heat Loss Models Validation Experiment
Contains data from the model validation in the 1D Heat Loss Models to Predict the Aquifer Temperature Profile during Hot/Cold Water Injection Project. The data include two COMSOL models (2D axisymmetric benchmark model and 2D Vinsome model), one python code (1D Vinsome based FEM numerical simulation), one matlab main code (1D Newton analytical solution and all results comparison visualization), and output files generated from the above models.
Citation Formats
UC Berkeley. (2022). 1D Heat Loss Models Validation Experiment [data set]. Retrieved from https://dx.doi.org/10.25984/1844347.
Chen, Kecheng, Sun, Xiang, Soga, Kenichi, Dobson, Patrick F, and Nico, Peter S. 1D Heat Loss Models Validation Experiment. United States: N.p., 18 Jan, 2022. Web. doi: 10.25984/1844347.
Chen, Kecheng, Sun, Xiang, Soga, Kenichi, Dobson, Patrick F, & Nico, Peter S. 1D Heat Loss Models Validation Experiment. United States. https://dx.doi.org/10.25984/1844347
Chen, Kecheng, Sun, Xiang, Soga, Kenichi, Dobson, Patrick F, and Nico, Peter S. 2022. "1D Heat Loss Models Validation Experiment". United States. https://dx.doi.org/10.25984/1844347. https://data.openei.org/submissions/4586.
@div{oedi_4586, title = {1D Heat Loss Models Validation Experiment}, author = {Chen, Kecheng, Sun, Xiang, Soga, Kenichi, Dobson, Patrick F, and Nico, Peter S.}, abstractNote = {Contains data from the model validation in the 1D Heat Loss Models to Predict the Aquifer Temperature Profile during Hot/Cold Water Injection Project. The data include two COMSOL models (2D axisymmetric benchmark model and 2D Vinsome model), one python code (1D Vinsome based FEM numerical simulation), one matlab main code (1D Newton analytical solution and all results comparison visualization), and output files generated from the above models.}, doi = {10.25984/1844347}, url = {https://data.openei.org/submissions/4586}, journal = {}, number = , volume = , place = {United States}, year = {2022}, month = {01}}
https://dx.doi.org/10.25984/1844347
Details
Data from Jan 18, 2022
Last updated Feb 10, 2022
Submitted Feb 2, 2022
Organization
UC Berkeley
Contact
Kecheng Chen
510.229.8253
Authors
Research Areas
Keywords
Geothermal, 1D, Analytical, FEM, Aquifer, injection, hot injection, cold injection, water, energy, model, code, python, simulation, MATLAB, benchmark, validation, heat loss, geothermal energy storage, energy storageDOE Project Details
Project Name Community Resilience through Low-Temperature Geothermal Reservoir Thermal Energy Storage
Project Number FY21 AOP 2.7.1.4
