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1.中国长江电力股份有限公司 武汉 430010
2.三峡电能有限公司 武汉 430022
3.中国长江三峡集团有限公司 武汉 430010
4.华中科技大学环境科学与工程学院 武汉 430074
田志勇,男,副教授,华中科技大学环境科学与工程学院,13522166267,E-mail:zhiyongtian@hust.edu.cn。研究方向:建筑节能与可再生能源利用。
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朱梅生, 马明, 金和平, 等. 大规模跨季节储热水体解析模型开发与验证[J/OL]. 制冷学报, 2025.
ZHU Meisheng, MA Ming, JIN Heping, et al. Development and Validation of a Semi-Analytical Model for the Large-Scale Water Pit Thermal Energy Storage System[J/OL]. Journal of Refrigeration, 2025.
大规模水池蓄热系统的利用可增加集中供暖系统中可再生能源占比。目前水池蓄热系统的可用模型大多基于数值建模,缺乏可快速计算及准确的解析或半解析模型。基于此,本研究提出了一种适用于大规模储热水体的半解析模型。该模型分别在水域和土壤域进行求解,再通过水池侧壁和底部温度以及边界热通量进行耦合。在水域传热分析中,提出“三区”模型,将横截面分成中心区、过渡区和边缘区,相比于简单的一维模型,该“三区”模型将水体水平流动纳入考虑,对水温的动态模拟更为准确。在土壤传热分析中,改进了用于地源热泵领域的有限圆柱源模型,使之适用于大型水池蓄热系统的建模。随后,该解析模型采用丹麦60 000 m
3
水池蓄热项目10 a实测数据进行验证,发现顶部、中上部、中部、中下部和底部位置的水温平均误差分别为0.233%、0.44%、0.445%、0.316%和1.27%,均小于1.5%,表明该半解析模型具有较高准确度和可靠性。
The application of large-scale water pit thermal energy storage(PTES)systems can increase the share of renewable energy in district heating systems. Currently
most available models for PTES systems are based on numerical models
lacking fast calculation and accurate analytical or semi-analytical models. Based on this
this study proposes a semi-analytical model suitable for PTES. The model solves separately for the water domain and the soil domain and then couples them through the pit sidewall and bottom temperatures and boundary heat fluxes. In the heat transfer analysis for water domain
a "three-zone" model is proposed
dividing the cross-section into a central zone
a transition zone
and an edge zone. Compared to simple one-dimensional models
this "three-zone" model takes into account horizontal water flow
providing more accurate dynamic simulation of water temperature. In the heat transfer analysis for soil domain
the finite cylindrical source model used in the field of ground source heat pumps was improved to make it suitable for the modeling of PTES. Furthermore
the semi-analytical model was validated using 10 years of measured data from a 60
000 m³ PTES in Denmark. The average temperature errors at the top
upper-middle
middle
lower-middle
and bottom positions were 0.233%
0.44%
0.445%
0.316%
and 1.27%
respectively
all less than 1.5%
indicating that the model has high accuracy and reliability.
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