Energy manager
Energy manager
Check, decide and start again
Use measured data to check what is reported and decide where to invest. The two moments when you are asked for proof are set by law.
Energy lead within the building owner's organization, or independent energy manager appointed to deliver a portfolio's performance: you come in when operation starts and you stay.
Checking what is reported
Throughout operation: comparing what the sensors measure with the maintenance reported to know whether the performance achieved is real.
Deciding where to invest under legal constraint
Before renovation: saying what to renovate, stating the gain and proving it. The reduction targets of the décret tertiaire (French Tertiary Decree) set the deadlines.
Continuously in between
Fault detection, fault diagnostics and optimization: adjust and measure the gain.
The model
The building described once, exhaustively, in a model that every phase of its life reads.
Situations
Two moments when you lack measurement
- Targets to meet with savings no one can verify
Decisions are taken without measurement and claimed savings cannot be verified. We make possible a measurement-based audit that starts from real data, independent verification of reported performance and a before/after comparison under equal conditions.
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- Drift that only shows on the bill
A year-on-year comparison is misleading when weather and occupancy have changed. An energy baseline that allows for both shows the deviation as it happens.
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Our approach
How drift shows up before the bill
The energy baseline learns from your site's history what really drives its consumption. It separates the effect of weather and occupancy from the effect of drift. It forecasts consumption and flags deviations. Context data (metering data from the distribution network operator, weather, public holidays) feeds straight into the analytics platform. Automated fault detection and diagnostics (AFDD) relies on rules written once per equipment type and applied to every site that carries the building model. Monitoring-based commissioning (MBCx) constantly compares the expected sequence with observed behaviour. These capabilities detect and help you decide. Interpreting a deviation and choosing what to do about it remain a matter of human analysis.
Example
An office building over one year. A 12% drift sets in from April.
- This year's measurement
- Its baseline: same weather and same occupancy
- The gap between the two
kWh per month
Drift flagged
Move the winter and occupancy sliders and compare the two readings.
+12%above its baseline since April
The shaded area shows the gap between the two curves. Weather and occupancy are already allowed for, which leaves the drift.
Let's talk about your targets
Tell us which portfolio and by what deadline. The demo will start from there.