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Temporal Analysis of Wind Data for Wind-Driven Ventilation Assessment

机译:风力通风评估风数据的时间分析

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摘要

Time-varying ventilation is emphasized in the in recently published ASHRAE Standard 62.2 2016 and "Equivalent Ventilation" method has been proposed as a guideline for variable ventilation design. Potentially, this method could be used to evaluate the effectiveness of unsteady wind induced airflow and thus better integrate it in the ventilation design. However, to implement wind forced natural ventilation as a variable ventilation strategy, the knowledge and understanding of temporal variation of both wind direction and speed is essential. As a preliminary investigation, the periodic and cyclical behavior of wind speed is observed by applying the Fast Fourier Transform to one-minute wind data of New York and Austin. The wind speed exhibits annual and diurnal cycles and other cyclical behaviors in both cities, based on which, "seasons" are defined. Moreover, for relatively high wind speed, wind direction seems less variable. The magnitude of wind direction changes during small time periods are examined to determine the appropriate length of the averaging period for wind speed. The one-hour averages are proved to be sufficient for these two wind datasets and the reason is twofold: first, the majority of wind direction variations (more than 60%) is less than 15 degrees (arbitrarily considered as sufficiently small) at this time interval; second, when the one-hour averages is observed for 24-hour, the significant cyclic behaviors of daily wind speed are preserved. The airflow rate estimated by one-hour averaging wind speed and mode of wind direction using orifice equation agree with those computed by original one-minute wind data, therefore, wind data at one-hour resolution has the potential to capture the variation of wind speed.
机译:在最近发表的ASHRAE标准62.2 2016中强调了时变通气,并提出了“等效通风”方法作为可变通风设计的指导。潜在地,这种方法可用于评估不稳定风引起的气流的有效性,从而更好地将其整合在通风设计中。然而,为了实现风强制自然通气作为可变通风策略,对风向和速度的时间变化的知识和理解至关重要。作为初步调查,通过将快速傅里叶变换应用于纽约和奥斯汀的一分钟风数据来观察风速的周期性和周期性。风速展现在两个城市的年度和昼夜周期和其他周期性的行为,基于该城市,“季节”是“季节”。而且,对于相对高的风速,风向似乎较小。检查在小时间段期间的风向变化的大小,以确定风速的平均周期的适当长度。被证明,这两个风数据集已经证明了一小时平均值,原因是双重的:首先,大多数风向变化(超过60%)在此时小于15度(任意被认为是足够的小)间隔;其次,当观察到24小时的1小时平均值时,保留了日常风速的显着循环行为。使用孔方程的1小时平均风速和风向模式估计的气流速率与由原始的一分钟风数据计算的那些同意,因此,单小时分辨率时的风数据具有捕获风​​速的变化。

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