A digital twin that paid for itself in energy.
A mixed-use development operator had building management data across twelve assets and no way to act on it. We built a digital twin that cut energy consumption 18% in the first year.
The situation on arrival.
Twelve mixed-use assets with modern BMS installations, each optimised locally and none optimised against each other.
Energy was the second-largest operating cost line and was managed reactively.
How we structured the work.
We modelled the portfolio as a single system rather than twelve buildings, which immediately surfaced load-shifting opportunities invisible at the individual asset level.
We validated every recommendation against a live control group before portfolio-wide rollout.
Twelve buildings optimised individually is not a portfolio. It's twelve local maxima.
Systems now in production.
- A portfolio-level digital twin integrating twelve BMS feeds.
- An anomaly detection layer flagging equipment operating outside expected envelopes.
- A load-shifting recommendation engine.
- An asset-health analytics dashboard for the facilities team.
What changed for the client.
18% reduction in portfolio energy consumption in year one, with an eleven-month payback on the programme cost.
Now extending to a further six assets.
Considering a similar programme?
We take on a limited number of engagements each quarter. If the shape of this work is familiar, we should talk.
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