%0 Conference Paper
%K Energy efficiency
%K HVAC
%K Fault detection and diagnostics (FDD)
%K EMIS
%K Smart building
%K Fault correction
%K Field testing
%A Marco Pritoni
%A Guanjing Lin
%A Yimin Chen
%A John House
%A Eliot Crowe
%A Jessica Granderson
%B 2022 Summer Study on Energy Efficiency in Buildings
%C Pacific Grove, CA
%D 2022
%G eng
%I ACEEE
%R 10.20357/B7801T
%T Market Barriers and Drivers for the Next Generation Fault Detection and Diagnostic Tools
%U https://escholarship.org/uc/item/2sb6k61m
%8 08/2022
%X <p>Commercial buildings in the U.S. consume as much as 30% excess energy compared to<br />buildings that operate fault free and efficiently. Fault detection and diagnostic (FDD) platforms<br />help to continually identify operational inefficiencies and maintain low-carbon performance.<br />However, the recommendations generated by FDD tools need to be implemented by technicians,<br />resulting in delays or lost savings opportunities. Recent research advances showed fault AUTOcorrection<br />integrating with commercial FDD offerings filled this gap. Seven innovative AUTOcorrection<br />algorithms were integrated into two FDD platforms and deployed across four<br />buildings. The enhanced tools successfully correct faults focusing on incorrectly programmed<br />schedules, override not released, control hunting, rogue zone, and suboptimal setpoints.<br />Although its technical efficacy has been proven in the field, fault AUTO-correction is still early<br />in the deployment cycle and opportunities and barriers need to be understood to reach its full<br />potential in market transformation.<br />This paper broadly introduces the new technology that automatically corrects HVAC<br />faults. The authors describe in detail technology potential, market barriers, and enablers for<br />scalability based on field testing results and interviews with the FDD providers and facility<br />managers. The interviewees agreed that AUTO-correction can reduce the extent to which savings<br />are dependent upon human intervention, scale building operators’ ability to act on FDD findings<br />(especially for facilities with small operation teams), and achieve significant savings. To enable<br />scalable deployment, future efforts are needed to overcome the barriers such as cybersecurity and<br />accountability concerns from building operators and standardization of control parameters used<br />in building automation systems.</p>