| Overall Rating | Gold |
|---|---|
| Overall Score | 72.81 |
| Liaison | Austin Eriksson |
| Submission Date | Nov. 29, 2021 |
California State University, Northridge
IN-47: Innovation A
| Status | Score | Responsible Party |
|---|---|---|
|
0.50 / 0.50 |
Austin
Eriksson Director of Energy and Sustainability FPDC |
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Name or title of the innovative policy, practice, program, or outcome:
Fault Detection and Diagnostics
A brief description of the innovative policy, practice, program, or outcome that outlines how credit criteria are met and any positive measurable outcomes associated with the innovation:
FDD is a type of energy management and information system (EMIS) that analyzes our Siemens Building Automation System data and looks for errors in programming as well as malfunctioning equipment. Some of the items FDD can detect include: temperature sensor malfunctions, stuck dampers and valves, areas not meeting flow or temperature settings, HVAC operation not aligning with occupancy, etc. Through the issues identified by the FDD Program and working with PPM to correct these issues, it will lead to improved building ventilation and HVAC operation. We currently have FDD on 10 buildings and are expanding this to include the remaining ~20 campus buildings including both central and satellite plants by the end of FY 21/22.
Quantification & Results
• To date, we have received over 100 reports on ten buildings.
• Every time a new building is added to the system, anywhere from five to 36 action items have been identified, depending upon the size and complexity of the building. As the initial items are addressed, we have found that the new ones found each month typically dwindle down to less than four or five.
• While the program has identified 316 distinct action items to-date, multiple interrelated issues can be addressed with a single work order. This helps the mechanics fix issues efficiently, and capture smaller issues that might have otherwise been missed.
• The reports have also identified several key programming efficiencies which our vendor is working to incorporate into the building automation software.
• Due to pandemic operating conditions (low occupancy with increased outside air ventilation), we are only just starting to realize the savings associated with improvements and corrections made as a result of Fault Detection Diagnostics.
Impact & Benefit
This project has greatly increased CSUN’s awareness of the state of its building mechanical systems. In addition to fostering greater collaboration between building controls specialists, HVAC mechanics, and sustainability staff, Fault Detection and Diagnostics has identified potential issues and provided diagnostic pathways to locate and correct faults within building mechanical systems. This tool has increased CSUN’s ability to streamline its building operations and maintenance saving energy, increasing equipment lifespans and building performance, increasing occupant comfort, and reducing greenhouse gas emissions. Not only does it identify issues that require correction, but it can also suggest operational programming changes to increase the system efficiencies!
Quantification & Results
• To date, we have received over 100 reports on ten buildings.
• Every time a new building is added to the system, anywhere from five to 36 action items have been identified, depending upon the size and complexity of the building. As the initial items are addressed, we have found that the new ones found each month typically dwindle down to less than four or five.
• While the program has identified 316 distinct action items to-date, multiple interrelated issues can be addressed with a single work order. This helps the mechanics fix issues efficiently, and capture smaller issues that might have otherwise been missed.
• The reports have also identified several key programming efficiencies which our vendor is working to incorporate into the building automation software.
• Due to pandemic operating conditions (low occupancy with increased outside air ventilation), we are only just starting to realize the savings associated with improvements and corrections made as a result of Fault Detection Diagnostics.
Impact & Benefit
This project has greatly increased CSUN’s awareness of the state of its building mechanical systems. In addition to fostering greater collaboration between building controls specialists, HVAC mechanics, and sustainability staff, Fault Detection and Diagnostics has identified potential issues and provided diagnostic pathways to locate and correct faults within building mechanical systems. This tool has increased CSUN’s ability to streamline its building operations and maintenance saving energy, increasing equipment lifespans and building performance, increasing occupant comfort, and reducing greenhouse gas emissions. Not only does it identify issues that require correction, but it can also suggest operational programming changes to increase the system efficiencies!
Optional Fields
None
The website URL where information about the innovation is available :
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Additional documentation to support the submission:
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Data source(s) and notes about the submission:
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