Scott Yappen
speaker
203 appearances
1 recordings
1 series
first heard Mar 2026
last heard 3 Mar
Scott Yappen’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Mar 2026 with 1.
Appearances
And so what data centers are finding, and my prediction is, is these AI loads, one of the things is, is they fluctuate wildly.
You might be at 100 megawatts.
And in milliseconds, you're down to 20, 30, 40 megawatts.
And then in milliseconds, you're back up.
And so you need sort of a group of solutions that work together to provide high-quality, reliable power at data centers, particularly if it's an off-grid solution.
So one of the things we're doing is our people inside our company, again, engines and battery energy storage, so that stored energy
can be used to smooth the power and to make sure that our engine power plant works and it's what we call it sweet spot to provide the power and high quality power that's needed for those data centers so i see a whole lot of opportunity for us not only in engine power plants but also in battery energy storage at the utility scale level of hundreds of megawatts and hundreds of megawatt hours of battery energy storage
as well as hundreds of megawatts, if not more, of our engine power plants going into these data centers.
And the unique part of what we are is we can solve complex problems like these AI factories are having with load fluctuations because we're not just a one-trick pony.
The entire solution, you know, can be provided under an umbrella with Wartsilla and with some of the products that we have.
Just
because it's a natural adaptation or repurposing of the battery energy storage that we've used for over a decade that typically goes to utilities having large 100 megawatt batteries.
Our biggest one is a 1.2 gigawatt hour installation in Australia.
So that gives you the idea of the size that we're talking about, and it's a perfect fit
for the data center.
And again, we can solve these complex problems by modeling the customer's AI load profile and look at our engine sizing, look at battery sizing and helping the data center acquire a solution that's optimally sized, not only for CapEx, but optimally sized for OpEx to make sure that they all work together and work properly
without being under any type of duress or stress outside of their sweet spot.
And that takes the modeling that we do.
And it's a very interesting thing that we've been doing here of recent for data centers.
And thank you very much for having me, Rich.
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