Paper Conference

Proceedings of eSim 2022: 12th Conference of IBPSA-Canada

     

A Modelica-based Simulation Study for Dynamic HVAC System Performance Degradation: A Case Study of Fouling Faults

Mengyuan Chu 1, Xing Lu 1, Yangyang Fu 1, Zheng O'Neill 1, Jin Wen 2
1 Texas A&M University, College Station, TX, USA
2 Drexel University, Philadelphia, PA, USA


Abstract: Heating, Ventilation, and Air Conditioning (HVAC) systems and equipment are prone to gradual performance degradations, which could lead to sudden collapses of the entire system if such faults are not noticed in time. Due to the infeasibility of long-period field data collection, there is barely any realistic degradation performance data available publicly to support the development of fault detection and prognostics algorithms for degraded failures. To fill the data gap, this research develops a Modelica-based modeling framework to investigate the degraded system performance using dynamic system simulation. The effectiveness of the proposed framework is demonstrated by airside and waterside gradual fouling case studies via an annual simulation. Compared to the fault-free condition, the fouling cases show up to a 34% energy consumption variation at the equipment level and a maximum of 5% energy usage difference at the system level.
Keywords: degradation, fault modeling, Modelica, fouling, energy consumption
Paper:
esim2022_242