When simulating a daily performance of a solar thermal powered adsorption refrigeration system, daily weather data (i.e. daily maximum and minimum ambient temperatures and daily total solar radiation) are normally used to simulate a 24-h refrigeration cycle. However, the simulation obtained in this way is not that accurate, due to which could not reflect real hourly processes during the daytime. In present study, hourly weather data, especially during the isosteric and desorption processes in the sunshine duration, has been utilised to simulate hourly accumulated daily cycles. Seven possible cycles, depending on hourly weather change patterns, have been identified in this study. It has been found that the desorption process is not necessarily an isobar process as previous studies assumed, which depends on real hourly weather changes. Therefore, an improved mathematical model has been developed and validated. It has been found that the accuracy of the simulation with hourly weather data has been improved by up to 5%, compared to that of the model using daily weather data. The simulated error in one-day performance would be accumulated if a long-time performance of such a system was required to be simulated. Therefore, a case-study is conducted to demonstrate the difference between the two models when simulating a daily performance under three typical weather conditions.

在模拟太阳能热吸附制冷系统的日常性能时，通常使用每日天气数据（即每日最高和最低环境温度以及每日总太阳辐射）来模拟24小时制冷循环。但是，以这种方式获得的模拟不是那么精确，因为它不能反映白天的真实每小时过程。在本研究中，小时天气数据，尤其是在日照持续时间的等排和解吸过程中，已被用来模拟每小时累积的每日周期。这项研究确定了七个可能的周期，这取决于每小时的天气变化模式。已经发现，解吸过程不一定像以前的研究那样是等压线过程，它取决于实际的每小时天气变化。因此，已经开发并验证了改进的数学模型。已经发现，与使用每日天气数据的模型相比，每小时天气数据的模拟准确性提高了5％。如果需要模拟这样的系统的长期性能，则会累积一日性能的模拟错误。因此，在模拟三种典型天气情况下的每日性能时，进行了案例研究以证明两种模型之间的差异。如果需要对这种系统的长期性能进行仿真，则会累积一日性能的仿真误差。因此，在模拟三种典型天气情况下的每日性能时，进行了案例研究以证明两种模型之间的差异。如果需要对这种系统的长期性能进行仿真，则会累积一日性能的仿真误差。因此，在模拟三种典型天气情况下的每日性能时，进行了案例研究以证明两种模型之间的差异。