David Porter

speaker

325 appearances 1 recordings 1 series first heard Jul 2026 last heard 14 Jul

David Porter’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Not Your Father’s Data Center · David Porter: From Grid Load to Grid Asset: How Data Centers Can Support the Grid · 14 Jul 2026 podcast

That can be a very slow and tedious process, particularly when these days the old NIMBY principle, you know, not in my backyard, applies to about everything.

So it's very challenging.

I can tell you that some of the work that we're doing under one of my colleagues in our transmission and distribution infrastructure area

is called Grid Enhancing Technologies.

And this is work that we're doing to be able to push more energy through existing transmission corridors and using things like advanced conductors that can carry more energy in the same space that an existing conductor can.

It's a better material that's more capable of carrying greater amounts of energy.

Along with that, we're doing a lot of work around dynamic line ratings where you truly do, in this case, use artificial intelligence to understand energy.

the weather parameters, wind, rain, temperature, all of these things.

But the rating and the loading on those cables can change depending on the ambient air conditions so that at times you may be able to move more or less energy down a particular corridor.

And then there's also some work around power line flow controllers, which help move power around different avenues through the transmission system where power

One is a better opportunity or more efficient opportunity than others.

So there's a lot of work there that can help get more out of what we have to do today as opposed to just the need for new transmission.

Yeah, so about 18 months ago, we saw an opportunity in meeting with developers, hyperscalers, and utilities to help close some gaps.

One of the things we talked about earlier was

You know, this difference in speed of doing business between the utilities and the data centers.

And we knew there was a serious gap in communications and speaking the same language to try to reach an endpoint that was the same for both, which is providing service to a new customer.

So that was part of our objective with DC Flex.

But the other was...

as we worked with the hyperscalers in particular and understood what they were doing with the AI factories

what the different workloads on the compute side are in an AI factory between building the model, training the model, and then executing the model, there's a lot of inherent flexibility in those different workloads on the compute side of the data center.

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