In this study, optimal discharge conditions of sorption thermal battery (STB) are determined for stable supply of the building cooling load based on different load patterns. Parametric analysis is conducted to ascertain the influence of heat source temperature and the mass flow rate ratio between the solution and the heat transfer fluid on the performance of the STB. The maximum values of energy storage density (ESD) and coefficient of performance (COP) are estimated as 207.73 kWh/m and 0.74, respectively. The daily transient behaviors of STB are examined in detail, and the optimal solution charge and the solution flow rate are quantified based on the building types (residential, hospital, hotel, and office). For a building with an air conditioning floor area of 181.63 m, the most suitable cooling load response is observed in the hotel scenario. The minimum deviated cooling output from the building load is 8.69%. Concurrently, COP and ESD are estimated of 0.69 and 101.99 kWh/m. This paper demonstrates the cooling load responsiveness and optimal operating point of STB based on building load pattern. Additionally, a dimensionless number is defined to generate the discharge trend and enable to predict COP and ESD.

中文翻译：

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用于建筑冷却应用的太阳能驱动吸附热电池的优化放电


在本研究中，根据不同的负荷模式，确定了吸附热电池（STB）的最佳放电条件，以稳定供应建筑冷负荷。通过参数分析确定热源温度以及溶液与传热流体的质量流量比对STB性能的影响。能量存储密度（ESD）和性能系数（COP）的最大值估计分别为207.73 kWh/m 和0.74。详细检查机顶盒的日常瞬态行为，并根据建筑类型（住宅、医院、酒店和办公室）量化最佳解决方案费用和解决方案流量。对于空调建筑面积为181.63 m的建筑，在酒店场景中观察到最合适的冷负荷响应。制冷输出与建筑负载的最小偏差为 8.69%。同时，COP 和 ESD 估计分别为 0.69 和 101.99 kWh/m。本文展示了基于建筑负载模式的 STB 的冷却负载响应能力和最佳工作点。此外，还定义了一个无量纲数来生成放电趋势并能够预测 COP 和 ESD。