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Automatic extraction of reduced-order models from CFD simulations for building energy modelling

机译:从CFD模拟中自动提取降阶模型以进行建筑能耗建模

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摘要

Accurate modelling of the internal climate of buildings is essential if Building Energy Management Systems (BEMS) are to efficiently maintain adequate thermal comfort. Computational fluid dynamics (CFD) models are usually utilised to predict internal climate. Nevertheless CFD models, although providing the necessary level of accuracy, are highly computationally expensive, and cannot practically be integrated in BEMS. This paper presents and describes validation of a CFD-ROM method for real-time simulations of building thermal performance. The CFD-ROM method involves the automatic extraction and solution of reduced order models (ROMs) from validated CFD simulations. ROMs are shown to be adequately accurate with a total error below 5% and to retain satisfactory representation of the phenomena modelled. Each ROM has a time to solution under 20seconds, which opens the potential of their integration with BEMS, giving real-time physics-based building energy modelling. A parameter study was conducted to investigate the applicability of the extracted ROM to initial boundary conditions different from those from which it was extracted. The results show that the ROMs retained satisfactory total errors when the initial conditions in the room were varied by ±5°C. This allows the production of a finite number of ROMs with the ability to rapidly model many possible scenarios.
机译:如果建筑物能源管理系统(BEMS)要有效地保持足够的热舒适性,则必须对建筑物的内部气候进行准确的建模。通常使用计算流体动力学(CFD)模型来预测内部气候。尽管如此,CFD模型尽管提供了必要的准确性,但在计算上却非常昂贵,并且实际上无法集成到BEMS中。本文介绍并描述了用于建筑物热性能实时仿真的CFD-ROM方法的验证。 CFD-ROM方法涉及从经过验证的CFD仿真中自动提取和还原降阶模型(ROM)。 ROM显示足够准确,总误差低于5%,并且可以保留令人满意的建模现象。每个ROM都有20秒以下的解决时间,这打开了它们与BEMS集成的潜力,从而提供了基于物理的实时建筑能耗建模。进行了参数研究,以研究所提取ROM的初始边界条件与所提取ROM不同的适用性。结果表明,当房间的初始条件变化±5°C时,ROM保留了令人满意的总误差。这样就可以生产有限数量的ROM,并且能够对许多可能的情况进行快速建模。

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