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Modelica-based system modeling for studying control-related faults in chiller plants and boiler plants serving large office buildings
Journal of Building Engineering ( IF 6.7 ) Pub Date : 2021-05-05 , DOI: 10.1016/j.jobe.2021.102654
Sen Huang , Wangda Zuo , Draguna Vrabie , Rong Xu

Dynamic modelling of the faulty operation of chiller plants and boiler plants can help identify their impacts and support the development of fault detection methods. However, adequate models are seldom reported in the literature. In this study, we aim to develop high-fidelity models for approximating the dynamic behaviors of chiller plants and boiler plants under control-related faults. Specifically, we first designed a typical configuration of the chiller plants and the boiler plants; we then modeled both the physical systems and controllers of these typical plants with Modelica. When developing the Modelica models, we created a hierarchical model structure while modules in each layer can be redeclared and parameterized at upper layers. This model structure facilitates the implementation of fault scenarios through intuitive model modifiers. At last, we applied the proposed models in a comprehensive fault impact evaluation of the thirteen control-related faults of chiller and boiler plants. In this evaluation, the proposed models are coupled with the EnergyPlusTM thermal load model to study the impact of various faulty scenarios. Based on the fault impact evaluation results, we identified the faults that have the most significant impacts on the operation of the chiller and boiler plants, respectively. We also found that the relationship between the impacts of the studied faults and the severity level of the faults can be highly non-linear. This study contributes to the literature by providing the first dynamic models of chiller plants and boiler plants which can be used to study control-related faults on a large-scale.



中文翻译:

基于Modelica的系统建模,用于研究服务于大型办公大楼的冷水机组和锅炉房中与控制有关的故障

对冷却设备和锅炉设备的故障运行进行动态建模可以帮助识别它们的影响并支持故障检测方法的开发。但是,文献中很少报道适当的模型。在这项研究中,我们旨在开发高逼真度模型,以近似于与控制有关的故障下的冷水机组和锅炉厂的动态行为。具体来说,我们首先设计了冷却设备和锅炉设备的典型配置。然后,我们使用Modelica对这些典型工厂的物理系统和控制器进行建模。在开发Modelica模型时,我们创建了分层的模型结构,同时可以在上层重新声明和参数化每一层中的模块。通过直观的模型修改器,此模型结构有助于实现故障方案。对制冷机和锅炉厂的13个与控制有关的故障的故障影响评估。在此评估中,建议的模型与EnergyPlus TM热负荷模型结合使用,以研究各种故障情况的影响。根据故障影响评估结果,我们确定了分别对冷却器和锅炉厂的运行影响最大的故障。我们还发现,所研究断层的影响与断层严重性之间的关系可能是高度非线性的。该研究通过提供可用于大规模研究与控制相关的故障的冷水机组和锅炉机组的动态模型,为文献做出了贡献。

更新日期:2021-05-13
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