Numerical modeling and parametric analysis of thermal performance for the large-scale seasonal thermal energy storage

Xu, Guozhi, Hu, Lei, Luo, Yongqiang, Tian, Zhiyong, Deng, Jie ORCID:, Yuan, Guofeng and Fan, Jianhua (2022) Numerical modeling and parametric analysis of thermal performance for the large-scale seasonal thermal energy storage. Energy and Buildings, 275. p. 112459. ISSN 0378-7788

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Seasonal thermal energy storage (STES) systems are a key component in expanding the share of renewables in energy programs because they provide schedulability and flexibility. However, such a large-scale system requires careful planning to avoid high investment costs. Therefore, numerical models are becoming increasingly important as an alternative. This paper develops a numerical model of STES coupled with solar collector. The model was verified based on the experimental data of the Huangdicheng Project in China. The results show that the relative error in the charging mode and discharging mode is only 1.57% and 0.46%, respectively. Then, the effects of different charging and discharging mode on the heat storage efficiency of the tank and the efficiency of solar collector systems in STES were studied. The study found that in the initial charging stage, the water temperature rise curve caused by different flow rates is very different. In the design of the collector-storage area ratio, the relatively economical collector-storage ratio of this model is around 3768L/m2. The selection of different proportions of discharging energy in the discharge stage has a great impact on the heat storage efficiency of the system in the next year. Moreover, the influence of different depth-diameter ratios of the tank on the system heat storage efficiency is discussed in detail, which has important guiding significance for model application and system analysis. This paper provides some references for the scale design and operation optimization of cylindrical STES.

Item Type: Article
Identifier: 10.1016/j.enbuild.2022.112459
Keywords: Seasonal thermal energy storage; Numerical model; Climate; Depth-diameter ratio; Collector-Storage ratio
Subjects: Construction and engineering > Civil and environmental engineering
Construction and engineering > Built environment
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Depositing User: Jie Deng
Date Deposited: 13 Sep 2022 13:50
Last Modified: 06 Feb 2024 16:12


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