IEA Annex 58: Full-scale Empirical Validation of Detailed Thermal Simulation Programs
IEA Annex 58: Full-scale Empirical Validation of Detailed Thermal Simulation Programs
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IEA 附件 58：详细热模拟程序的全面实证验证
DOI：
10.1016/j.egypro.2015.11.729
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Strachan P.
中科院分区：
文献类型：
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作者：
Strachan P.
随着模拟程序越来越广泛地用于建筑性能评估和建筑法规合规性，需要确保有高质量的经验数据集可用于评估这些程序的预测准确性。本文总结了在位于德国霍尔茨基兴的弗劳恩霍夫 IBP 试验场的两座相同的全尺寸建筑物上进行的详细实验以及建筑物的相关建模。这项工作是作为 IEA ECB 附件 58“基于全面动态测量的可靠建筑能源性能表征”的一部分进行的。测试序列应用于在多房间双屋上进行的并排验证实验，包括恒定内部温度周期、伪随机热注入周期和自由浮动周期。所有边界和内部条件均受到全面监测。建模团队获得了建筑物和边界条件的详细信息，20 多个团队提交了对内部条件的预测，随后将其与测量结果进行比较。本文重点介绍了一项敏感性研究，旨在评估由于输入参数的不确定性而导致的总体预测不确定性，并确定对预测影响最大的输入。还包括测量不确定度的评估。
As simulation programs become more widely used for building performance assessment and building regulations compliance, there is a need to ensure that there are good quality empirical datasets which can be used to assess the predictive accuracy of these programs. This paper summarises a detailed experiment carried out on two identical full-scale buildings located at the Fraunhofer IBP test site at Holzkirchen in Germany and the associated modelling of the buildings. The work was undertaken as part of IEA ECB Annex 58 “Reliable building energy performance characterization based on full scale dynamic measurements”. The test sequence, applied to the side-by-side validation experiment conducted on the multi-roomed Twin Houses, consisted of periods of constant internal temperatures, a period of pseudo-random heat injections and a free-float period. All boundary and internal conditions were comprehensively monitored. Modelling teams were given details of the buildings and the boundary conditions, and over 20 teams submitted their predictions of the internal conditions which were subsequently compared with measurements. The paper focuses on a sensitivity study carried out to assess the overall prediction uncertainty resulting from the uncertainties in the input parameters, as well as identifying those inputs which had the most influence on predictions. An assessment of the measurement uncertainty is also included.
影响因子：
6.7
作者：
K. Lomas;H. Eppel;C. Martin;D. Bloomfield
通讯作者：
D. Bloomfield
DOI：
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发表时间：
1995
期刊：
影响因子：
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作者：
L. Pasqualetto
通讯作者：
L. Pasqualetto
模型验证和测试：ASHRAE 标准 140 的方法基础
DOI：
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发表时间：
2006
期刊：
影响因子：
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作者：
R. Judkoff;J. Neymark
通讯作者：
J. Neymark