Exergenics
Summary
This week marks seven years since Exergenics began. A milestone like this is a good excuse to stop and look back, so I went digging through old emails from 2019 and found how I described the company when we were just getting started:
"Using historical BMS data and machine learning, we create models of central plant rooms and then output an optimal control strategy solving for the lowest 'whole of plant' energy use for discrete cooling loads and ambient conditions."
Seven years on, that is still exactly what we do. The models are far more sophisticated. We've deployed in more than 100 plants around the world, modelled thousands of chillers, and those plants typically use between 5% and 20% less energy than before we arrived, with no capital works and no compromise on comfort or reliability. Along the way we've added Pareto trade-offs between energy and mechanical wear, upgrade simulations and plenty more. But the core idea hasn't moved an inch, which I find equal parts surprising and reassuring.
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