Video: What to Expect When You’re Expecting Fault Detection & Diagnostics (FDD)
This sessions explains how fault detection & diagnostics (FDD) analytical software is growing in popularity as a tool to support monitoring-based commissioning.
- Understand the relative levels of fault prevalence across a range of HVAC fault types.
- Understand the main drivers of HVAC fault prevalence.
- Gain quantitative insights into fault prevalence that support the business case for commissioning.
- Gain a better understanding of the scope of FDD tools and the faults they uncover.
Video courtesy: CxEnergy
Presenter: Eliot Crowe, Lawrence Berkeley National Laboratory
Experienced providers know the typical operational issues that can show up in commissioning investigations, however, building owners often assume their HVAC systems were installed properly and are operating efficiently. There is growing data on commissioning project benefits, but very limited data on the specifics of the relative levels of prevalence of the wide range of possible operational problems.
Fault detection & diagnostics (FDD) analytical software is growing in popularity as a tool to support monitoring-based commissioning. What would you expect to uncover when using these tools, and what can they tell us about the reliability of commercial HVAC systems? A recent study by Lawrence Berkeley National Lab set out to address these questions. Using data from over 60,000 pieces of equipment across different FDD tools, climate zones, and building types, the study brings high resolution insights on the prevalence of a wide range of HVAC fault types.
In this presentation we will share the key insights from the HVAC fault prevalence study, and summarize what these findings mean for the commissioning industry.
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