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
TY - DATA
AB - 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.
AU - Chen, Kecheng
A2 - Sun, Xiang
A3 - Soga, Kenichi
A4 - Dobson, Patrick F
A5 - Nico, Peter S
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.25984/1844347
KW - Geothermal
KW - 1D
KW - Analytical
KW - FEM
KW - Aquifer
KW - injection
KW - hot injection
KW - cold injection
KW - water
KW - energy
KW - model
KW - code
KW - python
KW - simulation
KW - MATLAB
KW - benchmark
KW - validation
KW - heat loss
KW - geothermal energy storage
KW - energy storage
LA - English
DA - 2022/01/18
PY - 2022
PB - UC Berkeley
T1 - 1D Heat Loss Models Validation Experiment
UR - https://doi.org/10.25984/1844347
ER -
Chen, Kecheng, et al. 1D Heat Loss Models Validation Experiment. UC Berkeley, 18 January, 2022, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1844347.
Chen, K., Sun, X., Soga, K., Dobson, P., & Nico, P. (2022). 1D Heat Loss Models Validation Experiment. [Data set]. Open Energy Data Initiative (OEDI). UC Berkeley. https://doi.org/10.25984/1844347
Chen, Kecheng, Xiang Sun, Kenichi Soga, Patrick F Dobson, and Peter S Nico. 1D Heat Loss Models Validation Experiment. UC Berkeley, January, 18, 2022. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1844347
@misc{OEDI_Dataset_4586,
title = {1D Heat Loss Models Validation Experiment},
author = {Chen, Kecheng and Sun, Xiang and Soga, Kenichi and 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.},
url = {https://data.openei.org/submissions/4586},
year = {2022},
howpublished = {Open Energy Data Initiative (OEDI), UC Berkeley, https://doi.org/10.25984/1844347},
note = {Accessed: 2025-04-25},
doi = {10.25984/1844347}
}
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
