Development and Implementation of Fault-Correction Algorithms in Fault Detection and Diagnostics Tools

Guanjing Lin, Marco Pritoni, Yimin Chen and Jessica Granderson
Additional contact information
Guanjing Lin: Lawrence Berkeley National Laboratory, Berkeley, CA 94706, USA
Marco Pritoni: Lawrence Berkeley National Laboratory, Berkeley, CA 94706, USA
Yimin Chen: Lawrence Berkeley National Laboratory, Berkeley, CA 94706, USA
Jessica Granderson: Lawrence Berkeley National Laboratory, Berkeley, CA 94706, USA

Energies, 2020, vol. 13, issue 10, 1-20

Abstract: A fault detection and diagnostics (FDD) tool is a type of energy management and information system that continuously identifies the presence of faults and efficiency improvement opportunities through a one-way interface to the building automation system and the application of automated analytics. Building operators on the leading edge of technology adoption use FDD tools to enable median whole-building portfolio savings of 8%. Although FDD tools can inform operators of operational faults, currently an action is always required to correct the faults to generate energy savings. A subset of faults, however, such as biased sensors, can be addressed automatically, eliminating the need for staff intervention. Automating this fault “correction” can significantly increase the savings generated by FDD tools and reduce the reliance on human intervention. Doing so is expected to advance the usability and technical and economic performance of FDD technologies. This paper presents the development of nine innovative fault auto-correction algorithms for Heating, Ventilation, and Air Conditioning pi(HVAC) systems. When the auto-correction routine is triggered, it overwrites control setpoints or other variables to implement the intended changes. It also discusses the implementation of the auto-correction algorithms in commercial FDD software products, the integration of these strategies with building automation systems and their preliminary testing.

Keywords: fault correction; fault detection and diagnostics; building operation; energy efficiency; field testing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/10/2598/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/10/2598/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:10:p:2598-:d:360565

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().