Modelica-based system modeling for studying control-related faults in chiller plants and boiler plants serving large office buildings

Huang, Sen; Zuo, Wangda; Vrabie, Draguna L.; Xu, Rong

doi:10.1016/j.jobe.2021.102654

Modelica-based system modeling for studying control-related faults in chiller plants and boiler plants serving large office buildings

Journal Article · 01 December 2021 · Journal of Building Engineering

DOI:https://doi.org/10.1016/j.jobe.2021.102654· OSTI ID:1810543

Huang, Sen ^[1]; Zuo, Wangda ^[2]; Vrabie, Draguna L. ^[1]; Xu, Rong ^[1]

BATTELLE (PACIFIC NW LAB)
University of Colorado at Boulder

System modeling is critical when studying operation faults in chiller plants and boiler plants. However, current fault models have difficulties faithfully representing the operation of chiller plants and boiler plants under the effects of those faults, especially the control-related ones. In this study, we present a systematic method to develop high-fidelity models for approximating the behaviors of chiller plants and boiler plants under faulty conditions. Compared to existing ones, the resulting fault models have two advantages: first, they better characterize the dynamic patterns in the system operation. In those models, control architecture and control logic are faithfully implemented. Thus, they can be used to study control-related faults, such as incorrect staging control due to sensor bias and mistuned feedback control. Second, they are readily extensible and can support large-scale investigations to explore different faulty conditions/scenarios. Those models are established in a hierarchical structure while modules in each layer can be redeclared and parameterized at upper layers. In such a case, modifications to the models can be realized through model modifiers and the process can be easily streamlined with scripts. We applied the proposed models in a comprehensive fault impact evaluation of the 13 control-related faults of chiller and boiler plants. In this evaluation, the proposed plant model is coupled with the EnergyPlus thermal load model to study the impact of various faulty scenarios. Based on the 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 are highly non-linear

Research Organization:: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC05-76RL01830

OSTI ID:: 1810543

Report Number(s):: PNNL-SA-158961

Journal Information:: Journal of Building Engineering, Vol. 44

Country of Publication:: United States

Language:: English

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