Implementation and test of an automated control hunting fault correction algorithm in a fault detection and diagnostics tool

Lin, Guanjing; Pritoni, Marco; Chen, Yimin; Vitti, Raphael; Weyandt, Christopher; Granderson, Jessica

doi:10.1016/j.enbuild.2023.112796

Implementation and test of an automated control hunting fault correction algorithm in a fault detection and diagnostics tool

Journal Article · Sun Jan 15 23:00:00 EST 2023 · Energy and Buildings

DOI:https://doi.org/10.1016/j.enbuild.2023.112796· OSTI ID:2323901

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Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Control hunting due to improper proportional–integral–derivative (PID) parameters in the building automation system (BAS) is one of the most common faults identified in commercial buildings. It can cause suboptimal performance and early failure of heating, ventilation, and air conditioning (HVAC) equipment. Commercial fault detection and diagnostics (FDD) software represents one of the fastest growing market segments in smart building technologies in the United States. Implementation of PID retuning procedures as an auto-correction algorithm and integration into FDD software has the potential to mitigate control hunting across a heterogeneous portfolio of buildings with different BAS in a scalable way. This paper presents the development, implementation, and field testing of an automated control hunting fault correction algorithm based on lambda tuning open-loop rules. The algorithm was developed in a commercial FDD software and successfully tested among nine variable air volume boxes in an office building in the United States. The paper shows the feasibility of using FDD tools to automatically correct control hunting faults, discusses scalability considerations, and proposes a path forward for the HVAC industry and academia to further improve this technology.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 2323901

Journal Information:: Energy and Buildings, Journal Name: Energy and Buildings Vol. 283; ISSN 0378-7788

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
control hunting
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fault detection and diagnostics
field testing
smart building

Implementation and test of an automated control hunting fault correction algorithm in a fault detection and diagnostics tool

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