Theory of time constant correlation of a porous bed thermal energy storage tank - Experimental and numerical proof of concept

IF 9 1区工程技术 Q1 ENERGY & FUELS Energy Pub Date : 2024-08-24 DOI:10.1016/j.energy.2024.132956

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Abstract

Analytical modeling of energy systems is used to estimate the potential of the system, but several simplifications used lead to progressive deviations from the actual potential. Thermal Energy Storage tanks are most often treated as black boxes, by limiting their characteristics to their energy efficiency and basic capacity only. This paper introduces the theory of a time constant that correlates the basic parameters of a porous bed heat storage tank and allows the charge level of the tank to be determined during the charging stage. The correlation for the time constant has a coefficient that has been fully validated both experimentally and numerically for a wide range of parameters. Coefficient values for different precision test runs have been indicated, and the prediction deviation using the time constant does not exceed a value of 5 % relative to the actual results. The proposed methodology for the analytical model of the tank accurately represents the cyclic operation of the heat storage tank. It has also been shown that the cyclic operation of the heat storage tank fixes the charge level in the range of 0.16–0.79. The methodology presented can be used to modelling and designing energy systems with heat storage.

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多孔床热能储存罐的时间常数相关理论--实验和数值概念证明

能源系统的分析模型可用于估算系统的潜力，但使用的一些简化方法会导致逐渐偏离实际潜力。热能储存罐通常被视为黑盒子，其特性仅限于能量效率和基本容量。本文介绍了时间常数理论，该理论与多孔床蓄热箱的基本参数相关联，并允许在充注阶段确定蓄热箱的充注水平。时间常数的相关系数已经过实验和数值验证，适用于多种参数。不同精度测试运行的系数值已经显示，使用时间常数的预测偏差相对于实际结果不超过 5%。针对蓄热箱分析模型提出的方法准确地反映了蓄热箱的循环运行。研究还表明，蓄热箱的循环运行可将充注量固定在 0.16-0.79 的范围内。所提出的方法可用于储热能源系统的建模和设计。

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来源期刊

Energy 工程技术-能源与燃料

CiteScore

15.30

自引率

14.40%

发文量

审稿时长

14.2 weeks

期刊介绍： Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.