SUSTAINABLE BUILDINGS
Asset Classes
-
Offices
-
-
-
-
-
- Not applicable
-
-
-
-
Enclosed Shopping Centres
-
-
-
-
-
- Not applicable
-
-
-
-
Open Air Retail
-
-
- Not applicable
-
-
-
-
- Not applicable
-
-
-
-
Light Industrial
-
-
-
-
-
- Not applicable
-
-
-
-
Multi-Unit Residential Buildings
-
-
-
-
-
- Not applicable
-
-
- Not applicable
-
-
-
Health Care Facilities
-
-
-
-
-
- Not applicable
-
-
- Not applicable
-
-
-
Universal
-
-
-
-
-
- Not applicable
-
-
-
Focus Area
Energy and Carbon
Topic
O&M Optimization
Question #
E6.2 — Fault Detection
Question
Is Fault Detection and Diagnosis (FDD) in place?
Applicability
All asset classes
Owner/landlord occupied building
Tenant occupied building – all systems managed by the owner/landlord
Answer & Scoring
- Yes = 3 points
- No = 0 points
- Not Applicable – Tenant occupied building: Some or no systems managed by the owner/landlord = 0/0
Max of 3 points
Requirements
Demonstrate the ability of the technology to provide:
- Root cause analysis and functional testing
- Fault detection autonomous system adjustment. System has the ability to auto-adjust operations to alleviate potential issues
- Prevent recurrences of false or non-critical alarms
Documentation
Any combination of the following that demonstrates requirements have been met:
- Digital Enablement Specifications (BMS, Lighting, EV Charging, Electrical, Fire, Vertical Transportation)
- Vendor Documentation (specifications, commissioning report, technical reports, functionality design reports)
- Compliance Registers
- Use Case – Benefits realization report
- Integrations Report
OR
- Documentation demonstrating that no systems are under the building owner/landlord’s control (e.g. lease agreement)
Suggested Lead
In-house
Value
- Fault detection and diagnosis (FDD) is a component in some building automation systems (BAS) that identifies potential operational errors and endeavors to adjust operations to prevent these errors from occurring. This system is autonomous and requires no manual intervention
- An FDD system can help optimize operations which can lead to cost savings, energy savings, and reduce carbon emissions
RELATED Question:
Description
Pre-empt building system faults based on machine learned behavior. Recognize patterns that resulted in faults and send alerts when the same pattern recurs. Optimize maintenance processes. Reduce building system fault occurrences and increase building up time.
References
None
Adapted BB 3.0 Question
New in BOMA BEST 4.0