A system-level auto-commissioning framework for proactive detection of hard and soft faults in VAV AHU systems

• Proactive FDD targets VAV AHU faults at early stages. • Auto-commissioning overcomes manual limitations with data-driven performance tests. • Active testing utilizes BAS bi-directional interactions for ongoing commissioning. • Auto-commissioning reveals both hardware and control-related system issues. Maintaining reliable and efficient operation of HVAC systems remains a challenge in commercial buildings. Conventional commissioning and recommissioning practices are resource-intensive and infrequent, allowing faults to persist unnoticed for extended periods. This paper presents a system-level auto-commissioning (AC) framework to proactively detect hard and soft faults in variable air volume (VAV) air handling unit (AHU) systems. Hard fault tests target hardware-related problems including mixing box damper faults, and heating/cooling coil malfunctions. Complimentary soft fault tests diagnose control errors related to state of operation, mode of operation, and supply air temperature setpoint (T SA,SP ) and duct static pressure setpoint (P duct,SP ) reset logic. Implementation of the framework in an occupied building successfully revealed a leaky outdoor air damper, an inefficient economizer sequence, and deficiencies in T SA,SP /P duct,SP reset strategies. The results demonstrated the capability of the framework to provide actionable diagnostic insights, reduce reliance on manual inspection, and enhance operational efficiency through early fault detection.

Authors

Institutions

Publication Details

Journal
Energy and Buildings
Published
2026-01-27
DOI
https://doi.org/10.1016/j.enbuild.2026.117070
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A system-level auto-commissioning framework for proactive detection of hard and soft faults in VAV AHU systems

Ricardo Moromisato, Andre Markus, Jayson Bursill, Arya Parsaei et al.
Energy and Buildings
Building Energy and Comfort Optimization
article

A system-level auto-commissioning framework for proactive detection of hard and soft faults in VAV AHU systems

Ricardo Moromisato, Andre Markus, Jayson Bursill, Arya Parsaei, William O’Brien, Burak Gunay
article en

Abstract

• Proactive FDD targets VAV AHU faults at early stages. • Auto-commissioning overcomes manual limitations with data-driven performance tests. • Active testing utilizes BAS bi-directional interactions for ongoing commissioning. • Auto-commissioning reveals both hardware and control-related system issues. Maintaining reliable and efficient operation of HVAC systems remains a challenge in commercial buildings. Conventional commissioning and recommissioning practices are resource-intensive and infrequent, allowing faults to persist unnoticed for extended periods. This paper presents a system-level auto-commissioning (AC) framework to proactively detect hard and soft faults in variable air volume (VAV) air handling unit (AHU) systems. Hard fault tests target hardware-related problems including mixing box damper faults, and heating/cooling coil malfunctions. Complimentary soft fault tests diagnose control errors related to state of operation, mode of operation, and supply air temperature setpoint (T SA,SP ) and duct static pressure setpoint (P duct,SP ) reset logic. Implementation of the framework in an occupied building successfully revealed a leaky outdoor air damper, an inefficient economizer sequence, and deficiencies in T SA,SP /P duct,SP reset strategies. The results demonstrated the capability of the framework to provide actionable diagnostic insights, reduce reliance on manual inspection, and enhance operational efficiency through early fault detection.

Energy and BuildingsVol. 356
Surrey Memorial Hospital (CA), Carleton University (CA)
Openalex Percentile: Top 77%
Building Energy and Comfort Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.