Dynamic modelling of ice-based thermal energy storage for cooling applications

IF 1.6 Q4 ENERGY & FUELS IET Energy Systems Integration Pub Date : 2022-02-23 DOI:10.1049/esi2.12061
Hector Bastida, Carlos E. Ugalde-Loo, Muditha Abeysekera, Nick Jenkins
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引用次数: 3

Abstract

The development of accurate dynamic models of thermal energy storage (TES) units is important for their effective operation within cooling systems. This paper presents a one-dimensional discretised dynamic model of an ice-based TES tank. Simplicity and portability are key attributes of the presented model as they enable its implementation in any programing language which would, in turn, facilitate the simulation and analysis of complex cooling systems. The model considers three main components: energy balance, definition of the specific heat curve, and calculation of the overall heat transfer coefficient. An advantage of the model is that it can be adapted to other types of TES units employing phase change materials. The modelling approach assumes equal flow and temperature distribution in the tank and considers two internal tubes only to represent the whole tank—significantly reducing the number of equations required and thus the computation time. Thermophysical properties of water during the phase change and of the heat transfer fluid are captured. The ice-based TES tank model has been implemented in MATLAB/Simulink. A good agreement between simulation results and experimental data available in the literature has been achieved—providing confidence in the validity of the mathematical model.

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用于冷却应用的冰基热能储存的动态建模
建立准确的储热装置动态模型对储热装置在冷却系统内的有效运行具有重要意义。本文建立了冰基TES储罐的一维离散动力学模型。简单性和可移植性是所提出模型的关键属性,因为它们使其能够在任何编程语言中实现,从而促进复杂冷却系统的模拟和分析。该模型考虑了三个主要组成部分:能量平衡、比热曲线的定义和总传热系数的计算。该模型的一个优点是,它可以适应其他类型的TES单位采用相变材料。该建模方法假设储罐内的流量和温度分布相等,并且只考虑两个内部管道来代表整个储罐,这大大减少了所需的方程数量,从而节省了计算时间。捕获了水在相变过程中的热物理性质和传热流体的热物理性质。基于冰的TES储罐模型在MATLAB/Simulink中实现。仿真结果与文献中的实验数据吻合较好,为数学模型的有效性提供了信心。
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来源期刊
IET Energy Systems Integration
IET Energy Systems Integration Engineering-Engineering (miscellaneous)
CiteScore
5.90
自引率
8.30%
发文量
29
审稿时长
11 weeks
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