Assessing barriers and research challenges for automated fault detection and diagnosis technology for small commercial buildings in the United States

Frank, Stephen; Jin, Xin; Studer, Daniel; Farthing, Amanda

doi:10.1016/j.rser.2018.08.046

Title: Assessing barriers and research challenges for automated fault detection and diagnosis technology for small commercial buildings in the United States

Abstract

Commercial buildings often experience faults that waste energy, decrease occupant comfort, and increase operating costs. For medium and larger commercial buildings (buildings with more than approximately 1000 m² [approximately 10,000 ft²] of floor area), studies have shown that automated fault detection and diagnosis (AFDD) tools can help building owners and operators identify and correct faults, improving building performance and producing up to 10% energy savings. However, the existing state of the art in AFDD tools and algorithms poorly serves the needs of commercial buildings less than approximately 1000 m2 (approximately 10,000 ft²). Using the United States market and building stock as a case study, this article characterizes AFDD needs for small commercial buildings, surveys the types of AFDD tools presently available in the market, identifies gaps and barriers to widespread adoption of AFDD technology in small commercial buildings, and makes recommendations for the future research and development of small buildings AFDD technology.

Authors:

Frank, Stephen ^[1]; Jin, Xin ^[1]; Studer, Daniel ^[1]; Farthing, Amanda ^[1]

National Renewable Energy Lab. (NREL), Golden, CO (United States)

Publication Date:: Tue Oct 09 00:00:00 EDT 2018

Research Org.:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

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

OSTI Identifier:: 1477586

Report Number(s):: NREL/JA-5500-69058
Journal ID: ISSN 1364-0321

Grant/Contract Number:: AC36-08GO28308

Resource Type:: Accepted Manuscript

Journal Name:: Renewable and Sustainable Energy Reviews

Additional Journal Information:: Journal Volume: 98; Journal Issue: C; Journal ID: ISSN 1364-0321

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; automated fault detection and diagnosis; small commercial buildings; energy information systems; market assessment

Citation Formats


                    Frank, Stephen, Jin, Xin, Studer, Daniel, and Farthing, Amanda. Assessing barriers and research challenges for automated fault detection and diagnosis technology for small commercial buildings in the United States.  United States: N. p., 2018. 
Web.  doi:10.1016/j.rser.2018.08.046.

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                    Frank, Stephen, Jin, Xin, Studer, Daniel, & Farthing, Amanda. Assessing barriers and research challenges for automated fault detection and diagnosis technology for small commercial buildings in the United States.  United States.  https://doi.org/10.1016/j.rser.2018.08.046

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                    Frank, Stephen, Jin, Xin, Studer, Daniel, and Farthing, Amanda. Tue .  
"Assessing barriers and research challenges for automated fault detection and diagnosis technology for small commercial buildings in the United States".  United States.  https://doi.org/10.1016/j.rser.2018.08.046.  https://www.osti.gov/servlets/purl/1477586.

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@article{osti_1477586,

  title        = {Assessing barriers and research challenges for automated fault detection and diagnosis technology for small commercial buildings in the United States},

  author       = {Frank, Stephen and Jin, Xin and Studer, Daniel and Farthing, Amanda},

  abstractNote = {Commercial buildings often experience faults that waste energy, decrease occupant comfort, and increase operating costs. For medium and larger commercial buildings (buildings with more than approximately 1000 m2 [approximately 10,000 ft2] of floor area), studies have shown that automated fault detection and diagnosis (AFDD) tools can help building owners and operators identify and correct faults, improving building performance and producing up to 10% energy savings. However, the existing state of the art in AFDD tools and algorithms poorly serves the needs of commercial buildings less than approximately 1000 m2 (approximately 10,000 ft2). Using the United States market and building stock as a case study, this article characterizes AFDD needs for small commercial buildings, surveys the types of AFDD tools presently available in the market, identifies gaps and barriers to widespread adoption of AFDD technology in small commercial buildings, and makes recommendations for the future research and development of small buildings AFDD technology.},

  doi          = {10.1016/j.rser.2018.08.046},

  journal      = {Renewable and Sustainable Energy Reviews},

  number       = C,

  volume       = 98,

  place        = {United States},

  year         = {Tue Oct 09 00:00:00 EDT 2018},

  month        = {Tue Oct 09 00:00:00 EDT 2018}

}

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Figure 1: Types of U.S. small commercial buildings categorized by principal building activity

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