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Sources of Uncertainty in the Calculation of Design Weather Conditions

机译:设计天气状况计算中的不确定性来源

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In this research we examine the uncertainty associated with the design weather conditions (DWC) as found in the ASHRAE Handbook—Fundamentals. The work is organized around three main objectives. The first objective is to determine the error associated with typical data limitations, such as nonhomogeneous data, incomplete data, and insufficient data. The second objective is to develop methods to estimate the percentiles of hourly dry-bulb temperature from daily data and to estimate humidity-related design weather conditions when no humidity data are available. The final objective is to determine the frequency and duration of episodes during which the ASHRAE DWC are met or exceeded. We find for dry-bulb-related DWC that various data limitations are generally minimal (uncertainty less than 1℃)for a station if at least ten years of data are available. For DWC involving psychrometric variables, the probable error was shown to vary with measuring system and ambient conditions. Methods developed for estimating hourly DWC from daily values proved reliable (mean absolute error less than 1℃). The estimation of wet-bulb DWC when only dry-bulb temperatures are available is challenging, but a useful method was developed (mean absolute error near 1℃). Episodic behavior of the frequency/duration of DWC was examined and in some sites is consistent with known trends in urban warming. There was no evidence of episodic behavior of DWC except for areas undergoing rapid urbanization.
机译:在这项研究中,我们研究了ASHRAE手册-基础知识中与设计天气条件(DWC)相关的不确定性。该工作围绕三个主要目标进行组织。第一个目标是确定与典型数据限制相关的错误,例如非均匀数据,不完整数据和数据不足。第二个目标是开发一种方法,可以根据每日数据估算每小时干球温度的百分位数,并在没有可用湿度数据时估算与湿度有关的设计天气状况。最终目标是确定达到或超过ASHRAE DWC的发作频率和持续时间。我们发现,对于与干球相关的DWC,如果至少有十年的数据可用,那么对于一个站点,各种数据限制通常是最小的(不确定度小于1℃)。对于涉及湿度测量变量的DWC,显示出可能的误差随测量系统和环境条件而变化。事实证明,开发用于从每日值估算每小时DWC的方法是可靠的(平均绝对误差小于1℃)。当只有干球温度时,湿球DWC的估算是有挑战性的,但是开发了一种有用的方法(平均绝对误差在1℃附近)。检查了DWC的频率/持续时间的间歇性行为,并且在某些场所与城市变暖的已知趋势一致。除快速城市化地区外,没有证据表明DWC的发作性行为。

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