Development and Validation of the Water Pit Numerical Model for Seasonal Thermal Energy Storage
|更新时间:2025-09-29
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Development and Validation of the Water Pit Numerical Model for Seasonal Thermal Energy Storage
Journal of RefrigerationVol. 46, Issue 5, Pages: 133-141(2025)
作者机构:
1.中国长江三峡集团有限公司 武汉 430010
2.中国长江电力股份有限公司 武汉 430010
3.三峡电能有限公司 武汉 430022
4.华中科技大学环境科学与工程学院 武汉 430074
作者简介:
Tian Zhiyong, male, Ph.D., associate professor, School of Environmental Science and Engineering, Huazhong University of Science and Technology, 86-13522166267, E-mail: zhiyongtian@hust.edu.cn. Research fields: thermal energy storage and solar energy.
Zhou Chaohui, Liu Yuce, Hu Yue, et al. Development and Validation of the Water Pit Numerical Model for Seasonal Thermal Energy Storage[J]. Journal of refrigeration, 2025, 46(5): 133-141.
DOI:
Zhou Chaohui, Liu Yuce, Hu Yue, et al. Development and Validation of the Water Pit Numerical Model for Seasonal Thermal Energy Storage[J]. Journal of refrigeration, 2025, 46(5): 133-141. DOI: 10.12465/j.issn.0253-4339.2025.05.133.
Development and Validation of the Water Pit Numerical Model for Seasonal Thermal Energy Storage
Seasonal thermal energy storage (STES) can effectively mitigate the supply and demand imbalance of solar energy between winter and summer. Large-scale water pit thermal storage systems require efficient and accurate computational simulations to avoid investment waste. This study proposes a simplified numerical analysis method and establishes a cylindrical underground pit with a total volume of 11 304 m
3
to describe the operation of a STES system. The model establishes a one-dimensional heat transfer model for the water body and a two-dimensional heat transfer model for the soil
separately solving for the water and the soil temperature field. The two models are connected through the temperature boundary at the po
ol wall to simulate the entire system. To comprehensively verify the accuracy of the numerical simulation model
validation was conducted under standby
charging
and discharging modes. The results indicate that the developed model has good accuracy and reliability. Under the standby mode
the temperature error of the five water layers in the sandbox test is less than 10%
with the highest accuracy in the middle and lower-middle water layers
with an average absolute error of 1.75% and 1.24%
respectively. Under the charging mode
the average relative error is 1.57%
and the average temperature error is 0.44 ℃. Under the discharging mode
the average relative error is 0.46%
and the average temperature error is 0.24 ℃.
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references
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