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Sensitivity analysis of a zeolite energy storage model: Impact of parameters on heat storage density and discharge power density

机译:沸石储能模型的灵敏度分析:参数对储热密度和放电功率密度的影响

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Physisorption heat storage in buildings can be a key technology for a more effective use of heating energy. However, a better understanding of key factors influencing the design and control of such systems is necessary. This paper presents the sensitivity analysis of the modeling parameters in the case of an open zeolite 13X/moist air heat storage system for building applications. The quantities of interest are the heat storage density and the discharge power density of the system. At the beginning, the whole analysis space is composed of 21 physical properties and 7 operating conditions and geometrical properties. After a first threshold selection, analysis of variance is carried on the remaining parameters, with a full factorial design of experiments to perform a complete sensitivity analysis of the model. The results show that only 3 thermophysical properties, i.e. the heat of adsorption, the water vapor molar mass and the adsorption equilibrium, and 3 operating conditions and system geometry parameters, i.e. the inlet relative humidity, the bed length and the inlet fluid flow rate, drive the outlet power density and heat storage density. The way those 6 parameters influence the outputs is also discussed and quantitatively assessed. (C) 2019 Elsevier Ltd. All rights reserved.
机译:建筑物中的物理吸收储热可以成为更有效利用热能的关键技术。但是,必须更好地了解影响此类系统设计和控制的关键因素。本文介绍了在建筑应用中使用开放式13X沸石/湿空气储热系统时建模参数的敏感性分析。感兴趣的数量是系统的储热密度和排放功率密度。最初,整个分析空间由21个物理属性以及7个操作条件和几何属性组成。在第一个阈值选择之后,对剩余参数进行方差分析,并进行完整的因子设计实验以执行模型的完整灵敏度分析。结果表明,只有3种热物理性质,即吸附热,水蒸气摩尔质量和吸附平衡,以及3种操作条件和系统几何参数,即入口相对湿度,床层长度和入口流体流速,驱动出口功率密度和储热密度。还讨论并定量评估了这六个参数影响输出的方式。 (C)2019 Elsevier Ltd.保留所有权利。

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