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Empirical validation and local sensitivity analysis of a lumped-parameter thermal model of an outdoor test cell

机译：户外测试单元集总参数热模型的经验验证和局部灵敏度分析

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This paper presents the experimental validation of a thermal model describing the ZEB Test Cells Laboratory, located at the Gloshaugen campus of NTNU and SINTEF in Trondheim, Norway. Besides, a local sensitivity analysis identifies the parameters and inputs that are most influential on the thermal behaviour of the test cell, in terms of temperature profiles of the internal air and internal surfaces. The analysis shows that, in free-running conditions, the most important parameters and inputs, out of the 49 tested ones, are: the air temperature in the guard zone, the initial temperature(s) of the test cell envelope, the linear dimension of the square window, the solar irradiance on the vertical plane of the window, the depth of the test cell, the thermal conductivity and the thickness of the polyurethane layer in the envelope, the solar direct transmittance of the window, the internal height and width of the test cell, the external air temperature and the electrical power input to the mixing fan. Based on the outcome of the local sensitivity analysis and on in-field observations, some practical measures to improve the quality of the input data provided to a dynamic energy simulation tool, and thus the accuracy of prediction of the temperature evolution of the test cell. Based on the outcome of the local sensitivity analysis and on in-field observations, we propose some practical measures to improve the quality of the input data provided to a dynamic energy simulation tool, and thus the accuracy of prediction of the temperature evolution of the test cell. For example, we suggest monitoring accurately the environmental conditions in the guard zone, which are particularly influential under free-running conditions, and installing a global irradiance pyranometer next to the window in order to reduce the uncertainty related to the entering solar load.
机译：本文介绍了描述ZEB测试单元实验室的热模型的实验验证，该实验室位于挪威特隆赫姆NTNU和SINTEF的Gloshaugen校区。此外，根据内部空气和内表面的温度曲线，局部灵敏度分析可确定对测试单元的热性能影响最大的参数和输入。分析表明，在自由运行条件下，在49个测试参数中，最重要的参数和输入是：保护区中的空气温度，测试单元外壳的初始温度，线性尺寸方形窗，窗垂直面上的太阳辐射，测试单元的深度，外壳中聚氨酯层的热导率和厚度，窗的日光直接透射率，内部高度和宽度测试电池的温度，外部空气温度和输入到混合风扇的电功率。基于局部灵敏度分析的结果和现场观察，可以采取一些切实可行的措施来改善提供给动态能量模拟工具的输入数据的质量，从而提高测试单元温度演变的预测准确性。基于局部敏感性分析的结果和现场观察，我们提出了一些切实可行的措施来提高提供给动态能量模拟工具的输入数据的质量，从而提高测试温度演变的预测准确性细胞。例如，我们建议准确地监视保护区中的环境条件，这些条件在自由行驶条件下尤其重要，并在窗户旁边安装一个总辐照度辐射强度计，以减少与进入的太阳能负荷有关的不确定性。

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