PROPOSED PROJECT
Building Energy Waste Finder
Help facilities teams find costly patterns such as cooling running through an empty weekend. Combine meter readings taken throughout the day, building schedules, and energy prices to flag unusual loads, estimate their cost, and prepare a prioritized list of operating changes to test.
Nobody booked in. The load stayed on.
48 hourly readings
Occupied schedule / empty
A monthly bill
cannot explain a weekend.
A fictional empty office draws 18 kW throughout a 48-hour weekend. A reviewed comparison weekend averaged 6 kW. The 12 kW difference corresponds to 576 kWh and 115.20 example currency units at 0.20 per kWh. This is a candidate cost difference, not confirmed waste: staff must check cooling, ventilation, server rooms, and any undocumented occupancy before a test.
WHAT IS USUALLY DONE
A facilities team receives a monthly bill but cannot see when the building used energy unnecessarily. Meter charts, occupancy schedules, and control settings sit in different systems. A high weekend load may be dismissed as normal or treated as waste without checking essential services.
WHAT SOVRUN CAN DO FOR YOU
Sovrun would build an operating-pattern review that connects interval meter readings with building schedules and agreed energy prices. It highlights unusual empty-hours consumption and calculates a transparent cost estimate for a candidate change. Facilities staff can inspect essential loads, choose a limited operating-hours test, and compare measured results before extending it.
A cost estimate
with the arithmetic visible.
The example uses an agreed energy price of 0.20 currency units per kWh. Only the energy component is included. Staff must confirm the cause and safe operating requirements before any schedule change.
576 kWh × 0.20 per kWh
Example currency units / one weekend
What needs checking?
- Cooling and ventilation schedules
- Server rooms and other essential loads
- Unrecorded occupancy or events
- Comparable weather and meter coverage
Explain the load.
Confirm the relevant equipment, essential services, and schedule records with facilities staff.
Change only what is approved.
Authorized staff set the test window and stop conditions. The tool does not operate controls.
Compare a similar period.
Record actual use, weather, occupancy, and equipment changes before attributing a difference.
A visible pattern.
A testable operating change.
The project turns a possible issue into a reviewable test. Savings are reported only after appropriate measurement and review, never from multiplying a sample weekend into a yearly promise.
576 kWh difference
- Observed energy
- 864 kWh
- Comparison energy
- 288 kWh
- Energy price
- 0.20 per kWh
- Cost difference
- 115.20 example units
Review. Test. Measure.
- Owner
- Facilities engineer
- Controls
- Staff-operated only
- Essential loads
- Confirm before test
- Outcome
- Not yet measured
How we’d make it happen.
Match consumption to the building schedule
Align intervals, occupancy, holidays, and known equipment use. Mark gaps rather than filling them as zero consumption.
Explain the candidate opportunity
Compare against an agreed comparable baseline. Calculate the energy and cost difference and list loads that may be essential.
Test an approved operating change
Staff approve a limited test and monitor constraints. Compare like-for-like periods and document weather, occupancy, or equipment changes.
Where AI helps
Models identify unusual patterns against comparable building periods and summarize schedule mismatches. Calculations keep power, elapsed time, energy, and unit price separate. The system flags candidate opportunities; it does not assume all off-hours use is avoidable or change equipment controls.
What people approve
Facilities engineers confirm occupancy, critical services, safe operating requirements, and the comparison baseline. Authorized staff approve and implement any test, monitor comfort and equipment conditions, and determine whether a measured change can be attributed to that test.
What we’d need to start
- Timestamped meter readings with interval duration and meter coverage
- Occupancy and equipment schedules, site constraints, and essential-load records
- The agreed energy price, evaluation period, and staff approval process
How we’d test it
Test occupied events, holidays, essential overnight loads, missing meters, and clock changes. Recalculate every energy and cost estimate from interval duration. Compare a controlled test with an appropriate baseline and do not annualize a weekend difference as guaranteed savings.
Prepared for Energy & sustainability. We would agree on the work after reviewing your brief, materials, and requirements.
This is a proposed project, not completed client work. The visuals and numbers show example outputs, not measured results.
