This study explores a performance analysis of variable and fixed types of air conditioning equipment at different thermal load conditions using the cooling seasonal performance factor () evaluation method (ISO 16358-1:2013), and the energy efficiency ratio () evaluation method (ISO 5151:2017) which are applied to tropical climates. There are currently several types of energy efficiency evaluation methods available. The evaluates one functioning mode of the equipment at full load. While the takes into account the behavior of the equipment during seasonal periods and the outdoor temperature variations at different cooling load thermal conditions. Currently, it is not clear whether the application of the is better than the for tropical climates. This paper provides a comprehensive revision of the standard conditions, testing procedures, and the test results comparison of two types of air conditioning equipment tested at cooling mode operation. The results were obtained by conducting a comparative analysis of both methods using a balanced ambient room — type calorimeter. The tests were performed in an accredited laboratory that complies with the international standards ISO 17025: 2017, ISO 5151: 2017, and ISO 16358-1:2013. At real operating conditions the results show that the evaluation method seems to be less approximate when compared to the since the takes into account how the system behaves when the outdoor temperature varies. These findings could be useful for better technical planning as well as to improve public policies for designing and developing better energy efficiency programs.

中文翻译：

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EER或Fcsp：固定空调和可变空调在不同冷热条件下的性能分析

本研究采用制冷季节性能因子（）评价方法（ISO 16358-1：2013）和能效比（）评价方法（ISO），探讨了可变型和固定型空调设备在不同热负荷条件下的性能分析5151:2017)，适用于热带气候。目前有多种类型的能源效率评估方法。它评估设备在满负载情况下的一种功能模式。同时考虑了设备在季节期间的行为以及不同冷负荷热条件下的室外温度变化。目前尚不清楚 的应用是否优于热带气候。本文对两类空调设备在制冷模式运行时的标准条件、测试程序以及测试结果比较进行了全面修订。结果是通过使用平衡环境室型量热计对两种方法进行比较分析获得的。这些测试是在符合国际标准 ISO 17025:2017、ISO 5151:2017 和 ISO 16358-1:2013 的认可实验室中进行的。在实际操作条件下，结果表明，与评估方法相比，该评估方法似乎不太近似，因为该评估方法考虑了室外温度变化时系统的行为。这些发现可能有助于更好的技术规划以及改进设计和开发更好的能源效率计划的公共政策。