Abstract Thanks to their versatility and their relatively low cost, packed-bed sensible heat storage systems are promising for various applications like in concentrated solar power plants, adiabatic compressed energy storage and pumped thermal energy storage. A versatile one-dimensional numerical model able to describe many packed-bed configurations is developed and presented. This model is able to treat liquid and gaseous heat transfer fluids, and packed bed with a monomodal or a bimodal particle size repartion, i.e. consisting of a mixture of large and small solid particles (such as rocks and sand). This configuration is commonly encountered in the literature due to the advantages it procures. The model is compared and validated with specific experimental data and results from the literature covering wide ranges of configurations and operating conditions: several heat transfer fluids (molten salts, thermal oil, air), solid materials (rocks, sand, ceramics), fluid velocities, temperature levels and packed bed configurations are successfully tested. This shows the versatility of the developed model. The influence of the fluid velocity on heat losses, thermal diffusion and fluid/solid heat exchange are analysed. It enables to determine the optimal velocity which maximizes the performance of the storage system.

中文翻译：

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一种用于填充床蓄热系统的通用一维数值模型

摘要 由于其多功能性和相对较低的成本，填充床显热存储系统在聚光太阳能发电厂、绝热压缩储能和泵送热能存储等各种应用中具有广阔的前景。开发并展示了一种能够描述许多填充床配置的通用一维数值模型。该模型能够处理液体和气体传热流体，以及具有单峰或双峰粒度分布的填充床，即由大小固体颗粒（如岩石和沙子）的混合物组成。由于其带来的优势，这种配置在文献中很常见。该模型与特定实验数据和文献结果进行了比较和验证，这些数据涵盖了广泛的配置和操作条件：几种传热流体（熔盐、导热油、空气）、固体材料（岩石、沙子、陶瓷）、流体速度，温度水平和填充床配置成功测试。这显示了开发模型的多功能性。分析了流体速度对热损失、热扩散和流体/固体热交换的影响。它能够确定使存储系统性能最大化的最佳速度。这显示了开发模型的多功能性。分析了流体速度对热损失、热扩散和流体/固体热交换的影响。它能够确定使存储系统性能最大化的最佳速度。这显示了开发模型的多功能性。分析了流体速度对热损失、热扩散和流体/固体热交换的影响。它能够确定使存储系统性能最大化的最佳速度。