A grammar school — 30 days of single-site data
88% boiler waste on weekends. 81% overnight on weekdays. 42% during school hours. Modelled saving: £23k/year.
Thirty days of continuous data from a single grammar school. The numbers tell the story without much commentary needed.
Eighty-eight percent of weekend boiler runtime was heating spaces that had no occupants. Eighty-one percent of overnight runtime on weekdays, the same. Forty-two percent of the runtime during school hours was heating rooms that were either empty for that period, set above their target, or both.
The modelled annual saving from acting on the pattern came in at £23,000 — for one site, on a school estate where this was treated as a routine baseline.
What the month bought.
Thirty days isn't long enough to make a seasonal claim. It's long enough to make a pattern claim. The first week's numbers and the fourth week's numbers were the same. The waste wasn't an anomaly. It was the operating model.
Continuous monitoring made an existing problem visible. The savings were always there. Nobody had been able to count them.
Names withheld by request. Stories are published anonymously until customers approve attribution. The pattern, the data, and the finding are real.