Most buildings install solar or LED lighting and then wonder why the savings don't show up on the bill. The answer is almost always the same: nobody measured first.
The invisible waste problem
Commercial buildings waste an average of 30% of the energy they consume — through equipment left on overnight, HVAC systems fighting themselves, poor tariff timing, and demand peaks that inflate bills far beyond actual consumption.
None of this is visible without data. You cannot optimise what you cannot see.
The instinct is to deploy technology — solar panels, LED retrofits, heat pumps — and assume the bill drops. Sometimes it does. Often it doesn't, or not by as much as the vendor's modelling suggested. The reason is usually one of three things:
- The baseline was wrong (the vendor modelled from benchmark data, not your actual building)
- The technology was sized for a consumption profile that doesn't match reality
- A different problem was causing most of the waste and the new kit didn't touch it
What monitoring actually tells you
A properly wired monitoring layer gives you:
- Half-hourly consumption by circuit — so you can see exactly when and where energy is being used
- Demand peaks — the short spikes that determine your maximum demand charge, often accounting for 20–30% of a commercial electricity bill
- Idle consumption — the overnight baseline that should be close to zero but frequently isn't
- Tariff exposure — how much of your consumption falls in peak pricing periods versus off-peak
With this data, the right technology choice becomes obvious. A warehouse burning 40% of its consumption in a two-hour morning ramp probably needs demand management before solar. A hotel with high overnight consumption needs occupancy-triggered controls before anything else.
Sizing errors are expensive
A solar system sized from benchmark data for a building that class is typically 15–25% oversized or undersized compared to what the actual load profile requires. Oversized means excess capital cost and payback period blown. Undersized means you're leaving money on the table.
Battery storage is even more sensitive. A BESS sized without real demand peak data is essentially a guess. The economics of battery storage are almost entirely driven by peak shaving — taking the top off demand spikes that trigger your maximum demand charge. Without knowing the timing, duration and frequency of your peaks, you cannot size a battery correctly.
The EKO19 approach
We don't propose technology until we understand the building. That means starting with a monitoring layer — typically a combination of smart meters, sub-meters at key circuits, and where needed, IoT sensors for occupancy and environmental conditions.
The monitoring phase typically runs for four to twelve weeks. At the end of it we have a consumption model specific to that building, and we can tell you exactly which technologies will move the needle and by how much.
The assessment is free. The data is yours. And the recommendations are built from your numbers, not industry averages.
If you're considering any energy investment — solar, storage, LED, heat pumps — start here.