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EllisDon Hit Guaranteed Energy Targets in Three Months by Deploying FDD During the Warranty Phase
EllisDon, a Canadian facility management services provider, operates healthcare buildings under design-build-finance-maintain (DBFM) public-private partnership agreements that hold the operator responsible for decades of energy performance, operations costs, and lifecycle outcomes. If a building starts inefficiently, those costs compound quickly.
To combat the costs of poor energy performance, EllisDon deployed fault detection and diagnostics during the warranty phase of a new healthcare facility. The team introduced Clockworks Analytics' FDD platform to help operators identify control issues before the building's energy baseline was set.
The approach surfaced several operational problems early. Schedule setbacks were missing across many spaces, and zone temperature setpoints were inconsistent across the building.
The construction team corrected those issues within weeks of occupancy. The facility reached its guaranteed energy target in roughly three months, which was significantly faster than the company's typical ramp-up period after construction.
Results like this are pushing operators to deploy analytics earlier in the building lifecycle. But moving FDD into the warranty period creates technical challenges.
The platform relies on stable BAS point paths and naming structures. During construction, those paths often change as room names and system documentation evolve. When those changes occur, diagnostics can temporarily break.
Even with partial diagnostics, the platform's data access enabled EllisDon's team to identify operational problems quickly.
Clockworks is also redesigning its onboarding workflow to support earlier deployments. The platform now provides early access to raw data and visualizations while the diagnostic model is being built.
For operators managing long-term energy performance contracts, the early months after occupancy determine the baseline the building will carry for years. Finding control issues before that baseline is locked in can prevent long periods of underperformance.
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EllisDon, a Canadian facility management services provider, operates healthcare buildings under design-build-finance-maintain (DBFM) public-private partnership agreements that hold the operator responsible for decades of energy performance, operations costs, and lifecycle outcomes. If a building starts inefficiently, those costs compound quickly.
To combat the costs of poor energy performance, EllisDon deployed fault detection and diagnostics during the warranty phase of a new healthcare facility. The team introduced Clockworks Analytics' FDD platform to help operators identify control issues before the building's energy baseline was set.
The approach surfaced several operational problems early. Schedule setbacks were missing across many spaces, and zone temperature setpoints were inconsistent across the building.
The construction team corrected those issues within weeks of occupancy. The facility reached its guaranteed energy target in roughly three months, which was significantly faster than the company's typical ramp-up period after construction.
Results like this are pushing operators to deploy analytics earlier in the building lifecycle. But moving FDD into the warranty period creates technical challenges.
The platform relies on stable BAS point paths and naming structures. During construction, those paths often change as room names and system documentation evolve. When those changes occur, diagnostics can temporarily break.
Even with partial diagnostics, the platform's data access enabled EllisDon's team to identify operational problems quickly.
Clockworks is also redesigning its onboarding workflow to support earlier deployments. The platform now provides early access to raw data and visualizations while the diagnostic model is being built.
For operators managing long-term energy performance contracts, the early months after occupancy determine the baseline the building will carry for years. Finding control issues before that baseline is locked in can prevent long periods of underperformance.
Register for the next Nexus Labs event.
Sign up for the newsletter to get 5 stories like this per week:
This is a great piece!
I agree.