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is the sixth Democrat to
announce a run for governor

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with 43 and counting. Data
processing centers are

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popping up all over
Wisconsin. Like the

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Microsoft Data Center in
Mount Pleasant, where the

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tech giant is developing a
100 acre site. After buying

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it from Foxconn. Data
centers contain servers and

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drives to store, process,
and disseminate data.

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Companies like Microsoft,
Amazon, Google and Meta

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operate large scale data
centers. The Great Lakes

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region is a popular site
for them because of the

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large amounts of water.
Data centers need to cool

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the equipment. But what
about the electricity

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needed to run them? What
are the implications of

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that usage? We turn to Line
Roald, professor in the

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UW-Madison Department of
Electrical and Computer

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Engineering. And thanks for
being here.

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>> Thank you for having me.
>> So we know that

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everybody talks about the
millions of gallons of

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water that are needed to to
cool these data centers,

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but how much electricity do
they need to do all that

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processing like this.
Microsoft. 1 and Mt.

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Pleasant.
>> Yeah. So it varies quite

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a bit by data center and
the type of data center.

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But the Mt. Pleasant data
center I think, is supposed

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to use about 450MW of power.
And that is a lot. That's

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about the same amount as
all the households in

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Milwaukee together.
>> And so if you if you

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talk about 43 data centers,
obviously not all is large

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as that, but across the
state of Wisconsin, that's

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sucking a lot of power.
>> Yes it is. Yeah. And the

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projection is moving
forward with even more

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particularly of these very
large data centers coming,

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is that it will consume
really a lot of power that

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is going to change, really
the scope of use of

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electricity in Wisconsin.
>> So this growth of these

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centers seems explosive,
right. And all of a sudden,

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have you been surprised by
it?

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on data centers and their
energy use since about 2018.

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And back then it was
already clear that we are

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likely going to see an
increase in energy use from

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data centers just because
it's getting harder. It was

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getting harder to keep up
the efficiency gains that

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have allowed us to do ever
more computing with

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essentially kind of the
same amount of electricity.

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So for a long time,
electricity use was fairly

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flat. But then now. So you
were expecting that there

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would be an increase. But
of course, with AI and

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these large language models
and these very, very large

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models that need really,
really large data centers

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for training and inference,
it's really been quite

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explosive, I would say. So
it's a bit unprecedented

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for the grid to see this
amount of growth in this

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short time period.
>> In Wisconsin. Do we have

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the capacity to provide the
electricity?

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are hundreds and hundreds
of megawatt of power that

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is just kind of laying
around being, waiting,

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waiting to be used. And so
we don't necessarily have

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the capacity to meet all
that demand as it is today.

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And so we are going to need
new infrastructure, new

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transmission lines, new
power plants in order to

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meet that demand, because
it's also not like the

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regions around us
necessarily have that

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energy there.
>> So what about the cost

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of this energy demand? And
then that infrastructure of

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which you speak, does that
get passed along to the

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consumer? Like am I going
to see it in my electric

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bill?
How much of it and how that

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cost will be spread. So you
can imagine that when more

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people want something, the
price sometimes tend to go

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up, because there's maybe a
limit to the supply of that

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of electricity, but also
the way utilities do things

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is that they build
infrastructure to meet the

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demand of their customers,
and they have to file what

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is called a rate case with
the Public Service

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Commission in order to
determine how that cost is

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being covered. So they have
to ask for permission to

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spend that money to build
that new infrastructure,

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and they have to talk about
how they are going to

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consumers. And there's a
lot of open questions in

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exactly how that is going
to happen. And so I think

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both in Wisconsin but also
elsewhere in the country,

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there's a lot of questions
of how this might impact

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consumer bills. And frankly,
to be to to be honest with

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you, I am not entirely sure
where where the Public

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Service Commission, for
example, will land with

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that, how the utilities
will do things, and also

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what kind of contracts
these companies are able to

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get with the utilities. A
lot of that will determine

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how energy bills will or
might change.

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>> What would happen in
peak times like summer. Can

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the grid in Wisconsin
manage that load, and are

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there concerns about
blackouts or that kind of

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thing?
during peak times in summer,

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it can be challenging to
meet the demand as it is

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today. So we have seen in
past years that there has

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been warnings by Nordyke,
who is the regulatory body

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that has been saying that,
okay, there could be

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challenges meeting peak
during summer peak hours.

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And so what we might be
seeing is that there is a

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need for more demand
response. I mean, you might

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be familiar with, for
example, energy rush hours

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where the utility says,
okay, I'm going to control

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the thermostat in your home
and make it a little bit

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warmer during those peak
hours to reduce the amount

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of electricity that we need
in order to cool the house.

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During summer when it's
very warm. And so of course,

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this happens. If it happens,
it happens at a household

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level. There are very small
changes in energy demand,

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and the effect comes from
many, many people adjusting

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their temperatures at the
same time. So we could see

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more of that. But we could
also see that data centers

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actively participate in
this and that they are able

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to reduce their energy
demand during those peak

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to do so, we are going to
need less infrastructure.

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There would be less stress
on the grid, and there

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would be a lower chance
that there would be large

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Blackouts, typically.
Hopefully we will not see

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that because utilities are
quite good at predicting

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energy demand and
particularly large data

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possible to know a little
bit in advance how much

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they will use, so hopefully
we would not get there. But

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but there's definitely an
increased stress on the

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grid that could be
grid that could be
