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On site characterisation of the overall heat loss coefficient: Comparison of different assessment methods by a blind validation exercise on a round robin test box

机译:整体热损失系数的现场表征:通过在循环测试箱上进行的盲验证练习比较不同的评估方法

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Several studies have shown that the actual thermal performance of buildings after construction may deviate significantly from its performance anticipated at design stage. As a result, there is growing interest in on site testing as a means to assess real performance. The lEA EBC Annex 58-project 'Reliable Building Energy Performance Characterisation Based on Full Scale Dynamic Measurements' focused on on site testing and dynamic data analysis methods that can be used to characterise the actual thermal performance and energy efficiency of building components and whole buildings. The research within this project was driven by case studies. The current paper describes one of them: the thermal characterisation of a round robin test box. This test box can be seen as a scale model of a building, and was built by one of the participants. During the project, its fabric properties remained unknown to all other participants. Full scale measurements have been performed on the test box in different countries under real climatic conditions. The obtained dynamic data has been distributed to all participants who had to characterise the thermal performance of the test box's fabric based on the provided data. The paper compares the result of different techniques, ranging from a simple quasi-stationary analysis to advanced dynamic data analysis methods, which can be used to characterise the thermal performance based on on-site collected data. (C) 2017 Elsevier B.V. All rights reserved.
机译:多项研究表明,建造后建筑物的实际热力性能可能会与设计阶段预期的性能大不相同。结果,对现场测试作为评估真实性能的手段的兴趣日益浓厚。 lEA EBC附件58项目“基于全面动态测量的可靠建筑能源性能表征”专注于现场测试和动态数据分析方法,可用于表征建筑组件和整个建筑物的实际热性能和能效。该项目中的研究是由案例研究驱动的。当前的论文描述了其中之一:循环测试箱的热特性。该测试箱可以看作是建筑物的比例模型,由参与者之一建造。在该项目期间,其织物特性对于所有其他参与者仍然未知。在真实气候条件下,已在不同国家的测试箱上进行了满量程测量。所获得的动态数据已分发给所有参与者,这些参与者必须根据提供的数据来表征测试箱织物的热性能。本文比较了从简单的准平稳分析到高级动态数据分析方法等不同技术的结果,这些技术可用于基于现场收集的数据来表征热性能。 (C)2017 Elsevier B.V.保留所有权利。

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