A holistic fault impact analysis of the high-performance sequences of operation for HVAC systems: Modelica-based case study in a medium-office building

ASHRAE Guideline 36: High-performance sequences of operation (SOO) for Heating, Ventilation, and Air-conditioning (HVAC) Systems has been demonstrated to save 17%-30% energy under ideal simulation environments. However, HVAC systems are susceptible to various types of faults in a real building opera...

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Bibliographic Details
Published in:Energy and buildings 2021-12, Vol.252, p.111448, Article 111448
Main Authors: Lu, Xing, Fu, Yangyang, O'Neill, Zheng, Wen, Jin
Format: Article
Language:English
Subjects:
Air conditioning
ASHRAE guideline 36
Energy
Fault detection
Fault simulation
Heating
High-performance control sequences
HVAC
HVAC equipment
Impact analysis
Modelica
Office buildings
Performance evaluation
Performance indices
Thermal comfort
Ventilation
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Summary:ASHRAE Guideline 36: High-performance sequences of operation (SOO) for Heating, Ventilation, and Air-conditioning (HVAC) Systems has been demonstrated to save 17%-30% energy under ideal simulation environments. However, HVAC systems are susceptible to various types of faults in a real building operation. There are no existing studies that pertain to a comprehensive fault impact analysis of the high-performance control sequences suggested by ASHRAE Guideline 36 for HVAC systems. How these sequences handle and adapt to the various types of faults is still largely unknown. In this context, a comprehensive fault impact analysis and robustness assessment of the high-performance control sequences is conducted. A Modelica-based medium office virtual testbed is developed following the air-side and the plant-side SOO. A total of 359 fault scenarios in three different seasonal operating conditions (cooling, shoulder, and heating seasons) are injected into the baseline model. The evaluated key performance indexes (KPIs) include the operational cost, source energy, site energy, control loop quality, thermal comfort, ventilation, and power system metrics. The faults of the most negative impact are identified for different seasonal operating conditions over all the KPIs. The results also show that high-performance control sequences are well adapted for the vast majority (∼90%) of all the fault scenarios over all the KPIs in this study.
ISSN:0378-7788
1872-6178
DOI:10.1016/j.enbuild.2021.111448