When targeting large spaces, temperature distribution occurs due to air flow. Therefore, when evaluating the some state quantity values in large spaces using the single‐mass model, the evaluation values cannot be accurately evaluated. In our developed method, we analyze in advance flow distribution with high computational load and make contributed ratio of indoor climate (CRI). By using CRI for making air‐conditioning operation plan, the air conditioning power consumption and demand response (DR) amount can be quickly obtained. We also conducted an evaluation to compare the difference in these values between our developed method and using the single‐mass model. The air‐conditioning power consumption and DR amount of the developed method were smaller than those of the single‐mass model since it takes into account the temperature difference between upper and lower regions of space. It was also confirmed that the derived room temperature distribution by the CRI had an error within 1 °C compared with the evaluation using computer fluid dynamics (CFD). © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译：

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大空间空调运行计划方法的发展

当瞄准大空间时，由于空气流动会发生温度分布。因此，在使用单质量模型评估大空间中的某些状态量值时，无法准确地评估这些评估值。在我们开发的方法中，我们会预先分析高计算量的流量分布，并做出室内气候贡献率（CRI）。通过使用CRI制定空调运行计划，可以快速获得空调的功耗和需求响应（DR）量。我们还进行了评估，以比较我们开发的方法和使用单质量模型之间的这些值的差异。由于考虑了空间上下区域之间的温差，因此所开发方法的空调能耗和DR量均小于单质量模型。还可以确定，与使用计算机流体动力学（CFD）进行的评估相比，CRI得出的室温分布误差在1°C以内。©2021日本电气工程师学会。由Wiley Periodicals LLC发布。