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Inverse modeling of simplified hygrothermal building models to predict and characterize indoor climates

机译:简化的湿热建筑模型的逆向建模,以预测和表征室内气候

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Computational research on monumental buildings yields three problems regarding currently used detailed building models: tedious modeling, relatively long simulation run times, difficulties to characterize a building by its model parameters. A new simplified hygrothermal building model in state space form is presented with an inverse modeling technique to identify its parameters. Based on a literature review, 10 thermal models and 5 hygric models were developed. An optimization routine was used to fit the output of the models to long term hourly measurements of a typical monumental building zone and to a fictive indoor climate that was simulated by a validated simulation tool. The model performance was assessed by three criteria and the best models were selected. The validation of the selected thermal and hygric models consisted of fitting the models' output to indoor climate measurements of four monumental building zones, a residual analysis and parameter analysis. The results show that the simplified hygrothermal model is capable of reproducing most indoor climates accurately. Moreover, the state space model results in fast simulations: 100 years with hourly samples was simulated in 0.45 s on an ordinary computer (i5-processor). Characterization and validation of the parameter values are challenging and requires additional measurements and research.
机译:对于纪念性建筑物的计算研究产生了三个与当前使用的详细建筑物模型有关的问题:繁琐的建模,相对较长的模拟运行时间,难以通过其模型参数来表征建筑物。提出了一种新的简化的状态空间形式的湿热建筑模型,其中采用了逆建模技术来识别其参数。根据文献综述,开发了10个热模型和5个水压模型。使用优化例程将模型的输出与典型的纪念性建筑区域的长期每小时测量值拟合,并与经过验证的模拟工具模拟的虚拟室内气候进行拟合。通过三个标准评估模型性能,并选择最佳模型。对选定的热力模型和水力模型的验证包括将模型的输出与四个重要建筑区域的室内气候测量值进行拟合,残差分析和参数分析。结果表明,简化的湿热模型能够准确地再现大多数室内气候。此外,状态空间模型可实现快速仿真:在普通计算机(i5处理器)上以0.45 s的速度对每小时采样的100年进行了仿真。参数值的表征和验证具有挑战性,需要进行额外的测量和研究。

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