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Versatile AHU Fault Detection – Design, Field Validation and Practical Application

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21720%2F21%3A00350037" target="_blank" >RIV/68407700:21720/21:00350037 - isvavai.cz</a>

  • Result on the web

    <a href="http://hdl.handle.net/10467/96365" target="_blank" >http://hdl.handle.net/10467/96365</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.enbuild.2021.110781" target="_blank" >10.1016/j.enbuild.2021.110781</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Versatile AHU Fault Detection – Design, Field Validation and Practical Application

  • Original language description

    This paper describes a new tool developed for the detection of operating faults in ventilation units with heat recovery. In principle, the tool is based on the APAR (Air Handling Unit Performance Assessment Rules) method. By following the semantic data description in accordance with the BrickSchema and Project Haystack initiatives, the tool is portable. The executive part of the fault detection system consists of several dozen detection rules, which simultaneously seeks to estimate wasted energy, the threat to user comfort, or the risk of reduced device lifespan, so that the detected faults can be sorted according to their severity. The developed detection tool was validated on real devices incorporated in a pilot plant. For validation purposes, the method of fault induction on real HVAC (Heating, Ventilation and Air Conditioning system) units was used, with subsequent inspection of whether the faults were revealed or not. The results revealed a 90% detection rate. The data set created as a result of this pilot plant is published as an annex to this article. In addition, the ability of the detection tool to reveal faults was also verified on the basis of data sets of measurements taken during the standard operation of several dozen HVAC units. The elimination of the identified operating faults generated energy savings of several thousands of dollars per year.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20101 - Civil engineering

Result continuities

  • Project

    <a href="/en/project/TJ02000178" target="_blank" >TJ02000178: Automated fault detection and diagnostics system for building services</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Energy and Buildings

  • ISSN

    0378-7788

  • e-ISSN

    1872-6178

  • Volume of the periodical

    237

  • Issue of the periodical within the volume

    April

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    12

  • Pages from-to

  • UT code for WoS article

    000683466900005

  • EID of the result in the Scopus database

    2-s2.0-85101325102