Dan is an asset manager at a diversified property fund. Eighteen assets under active management: a mix of multi-let offices, light industrial, and one retail park. Each building has its own facilities manager, its own energy supplier, and its own reporting cycle. Collectively the portfolio was spending approximately £1.4m a year on energy.

Dan knew that somewhere in that £1.4m there was waste. He did not know where it was, how much it amounted to, or which asset was responsible. With eighteen separate data streams arriving in different formats at different times of the month, there was no straightforward way to find out. That is exactly where portfolio-wide energy visibility for property teams starts to change the picture.

When Monitor Hut was deployed across the portfolio, the first output that mattered was not an anomaly alert. It was a normalised benchmark: energy use intensity in kWh per m² calculated automatically across all eighteen assets, using a consistent methodology and covering the same time period.

The result made one building immediately visible. A 4,100 m² multi-let office was running at 187 kWh per m² annually, nearly double the portfolio average of 98 kWh per m² and well above recognised office benchmarking references. It had been in the portfolio for four years. No one had directly compared it against its peers before.

Daily consumption profiles from the site identified the driver: HVAC operating continuously across all zones, including two floors that were currently untenanted, with no occupancy-based control in place. This is the kind of issue that becomes obvious once data is connected, normalised, and viewed across the full estate rather than in isolated site reports.

Zoning controls were adjusted. The two untenanted floors were isolated from the main HVAC schedule. Consumption at the asset dropped 34% within the first monitored month.

What changed was not just the controls. It was the visibility. Once the building could be measured against the rest of the portfolio using one consistent method, the outlier stopped looking like background noise and started looking like an action point.

Similar patterns show up in other portfolios too. See how visibility across 27 sites, reporting time cut by 80%, and £60K unlocked from energy data all came from the same principle: clear, connected data across the estate.

External benchmarks matter most when your own portfolio data is already clean and comparable. For wider context, Monitor Hut teams often reference established sources such as CIBSE TM46 energy benchmarks and the UK government’s ND-NEED dataset.

Useful reference points, but the real value comes when your own sites can be compared fairly, quickly, and continuously.