Publication Type
Journal Article
Publication Date (Issue Year)
2024
Journal Name
Case Studies in Thermal Engineering
Abstract
This study employs an inverse grey-box (IGB) modeling approach, which combines measured data and the physics of systems to predict the performance of shallow underground thermal en- ergy storage (UTES) with top and side insulation. A simplified IGB model of the shallow UTES was developed using thermal network analysis. Experimental studies were conducted for shallow vertical and horizontal UTES configurations. Detailed models representing the field experiments were developed using the TRNSYS simulation tool and calibrated with the measured data from the experimental setup. The 4 Resistance 2 Capacitance (4R2C) IGB model was trained and tested in MATLAB using field experimental data and the data from the calibrated TRNSYS model. In comparing experimental data with the TRNSYS model for UTES, the prediction of outlet water temperature showed good agreement, with root mean square error (RMSE) and coefficient of variation of RMSE (CVRMSE) values of 0.94 °C and 3.16 % for vertical, and 0.99 °C and 2.97 % for horizontal configurations. The IGB model also aligned well with the experimental data, show- ing CVRMSE of 7.91 % and 3.17 % for vertical and horizontal systems, respectively. Sensitivity analysis revealed that model performance improves with longer training durations and closer testing times to training periods. However, a convergence point of 20 weeks of training data was achieved for making long-term performance predictions
Keywords
Shallow underground thermal storage, Inverse grey-box model, Model calibration, Experimental data, Simulated data, Training and testing
Rsif Scholar Name
Fabian Chidubem Eze
Thematic Area
Energy including Renewables
Africa Host University (AHU)
University of Nairobi (UoN), Kenya
Funding Statement
This work was supported by the Korea Institute of Energy Technology Evaluation Planning (KETEP) through the research project “Innovative Energy Remodeling Total Technologies for the Aging Public Buildings (No. 20202020800360)” and the Partnership for Skills in Applied Sciences Engineering and Technology – Regional Scholarship and Innovation Fund (PASET-RSIF) by International Center of Insect Physiology and Ecology (ICIPE).
Recommended Citation
Eze, F. C., Lee, W., sub An, Y., Joo, H., Lee, K., Ogola, J., & Mwabora, J. (2024). Experimental and simulated evaluation of inverse model for shallow underground thermal storage. Case Studies in Thermal Engineering, 59, 104535. https://doi.org/10.1016/j.csite.2024.104535