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Generation and assessment of local climatic data from numerical meteorological codes for calibration of building energy models

机译：通过数字气象代码生成和评估本地气候数据，以校准建筑能源模型

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The assessment of building energy performance through dynamic simulations has been increasing significantly in recent years since it represents a key strategy for the correct design of highly efficient buildings. Results of dynamic energy simulations are affected by many uncertainties, and its reliability depends on the accuracy of the input variables. One of the most influential variables is the climate surrounding the building, a reason why the use of accurate weather data files is essential, but experimental datasets are not always available. In this context, this paper analyses numerical weather datasets obtained from different regional climate models by comparing them with real data; in addition, it evaluates their impact on the energy performance of a historical building in Asuncion through dynamic simulations. The database of five different weather data sources is compared with observed meteorological data in order to assess their accuracy through statistical analyses. Moreover, some methodologies to estimate diffused and direct components of the global solar radiation are evaluated, with the objective of solving the problem of missing direct and diffused solar data components from the meteorological codes. Subsequently, weather data files are generated to quantify the influence of measured/simulated meteorological data on the evaluation of building energy performance. The results obtained in this paper show that the simulated meteorological data agree very well with real observations for the year under study. Also, the simulations of the building energy performance delivered similar values to those obtained using the real weather dataset. Therefore, the regional climate models can represent a reliable tool for building energy performance assessment, and mainly for the calibration of building energy models when measured weather data is not available. (C) 2019 Elsevier B.V. All rights reserved.
机译：近年来，通过动态模拟对建筑能源性能进行评估的方法已大大增加，因为它代表了正确设计高效建筑的关键策略。动态能量模拟的结果受到许多不确定性的影响，其可靠性取决于输入变量的准确性。影响力最大的变量之一是建筑物周围的气候，这是使用精确的天气数据文件必不可少的原因，但实验数据集并非始终可用。在这种情况下，本文将通过比较不同区域气候模型获得的数值天气数据集与真实数据进行了分析；此外，它还通过动态模拟评估了它们对亚松森历史建筑的能源性能的影响。将五个不同天气数据源的数据库与观测到的气象数据进行比较，以便通过统计分析评估其准确性。此外，评估了一些估算全球太阳辐射的散射和直接分量的方法，目的是解决气象编码中缺少直接和散射的太阳数据分量的问题。随后，将生成天气数据文件，以量化测量/模拟的气象数据对建筑物能源性能评估的影响。本文获得的结果表明，模拟的气象数据与研究年度的实际观测结果非常吻合。同样，建筑能源性能的模拟提供的值与使用真实天气数据集获得的值相似。因此，区域气候模型可以代表一种可靠的工具来进行建筑能源性能评估，并且主要用于在无法获得实测天气数据时用于建筑能源模型的校准。 （C）2019 Elsevier B.V.保留所有权利。

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