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首页> 外文期刊>Sustainability >The Impact of Different Weather Files on London Detached Residential Building Performance—Deterministic, Uncertainty, and Sensitivity Analysis on CIBSE TM48 and CIBSE TM49 Future Weather Variables Using CIBSE TM52 as Overheating Criteria
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The Impact of Different Weather Files on London Detached Residential Building Performance—Deterministic, Uncertainty, and Sensitivity Analysis on CIBSE TM48 and CIBSE TM49 Future Weather Variables Using CIBSE TM52 as Overheating Criteria

机译:不同天气文件对伦敦独立住宅建筑性能的影响-使用CIBSE TM52作为过热标准的CIBSE TM48和CIBSE TM49未来天气变量的确定性,不确定性和敏感性分析

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Though uncertainties of input variables may have significant implications on building simulations, they are quite often not identified, quantified, or included in building simulations results. This paper considers climatic deterministic, uncertainty, and sensitivity analysis through a series of simulations using the CIBSE UKCIP02 future weather years, CIBSE TM48 for design summer years (DSYs), and the latest CIBSE TM49 DSY future weather data which incorporates the UKCP09 projections to evaluate the variance and the impact of differing London future weather files on indoor operative temperature of a detached dwelling in the United Kingdom using the CIBSE TM52 overheating criteria. The work analyses the variability of comparable weather data set to identify the most influential weather parameters that contribute to thermal comfort implications for these dwellings. The choice of these weather files is to ascertain their differences, as their development is underpinned by different climatic projections. The overall pattern of the variability of the UKCIP02 and UKCP09 Heathrow weather data sets under Monte Carlo sensitivity consideration do not seem to be very different from each other. The deterministic results show that the operative temperatures of the UKCIP02 are slightly higher than those of UKCP09, with the UKCP09 having a narrow range of operative temperatures. The Monte Carlo sensitivity analysis quantified and affirmed the dry bulb and radiant temperatures as the most influential weather parameters that affect thermal comfort on dwellings.
机译:尽管输入变量的不确定性可能会对建筑模拟产生重大影响,但通常不会对其进行识别,量化或将其包含在建筑模拟结果中。本文通过使用CIBSE UKCIP02未来天气年,用于设计夏季(DSYs)的CIBSE TM48和最新的CIBSE TM49 DSY未来天气数据进行了一系列模拟,考虑了气候确定性,不确定性和敏感性分析,该数据结合了UKCP09预测以进行评估。使用CIBSE TM52过热标准,伦敦未来不同天气文件的变化及其对英国独立式住宅的室内工作温度的影响。这项工作分析了可比的天气数据集的可变性,以找出对这些房屋的热舒适性有影响的最有影响力的天气参数。这些天气文件的选择是为了确定它们的差异,因为它们的发展受不同的气候预测的支持。考虑蒙特卡洛敏感性的情况下,UKCIP02和UKCP09希思罗机场的天气数据集的总体变化似乎并没有很大的不同。确定性结果表明,UKCIP02的工作温度略高于UKCP09的工作温度,而UKCP09的工作温度范围很窄。蒙特卡罗敏感性分析量化并确定了干球和辐射温度是影响住宅热舒适性的最有影响的天气参数。

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