WEBVTT

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[SQUEAKING]

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[RUSTLING]

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[CLICKING]

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PROFESSOR: So today
we're going to look

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at the situation
with renewables.

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And I said that, in the
'90s and the early 2000s,

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the nuclear was
the obvious path.

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And then renewables just
showed up and ate our lunch.

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But there are a lot of
people who are still

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kind of skeptical about
what renewables can do

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for a lot of different reasons.

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And we ought to
have a deeper look

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to try to understand
some of these arguments.

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So we're going to do that today.

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I guess I'll just
give you a heads up.

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The final answer is
people aren't stupid.

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They're proceeding with
renewables for good reasons.

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So we should expect
something like that.

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Before I get there,
I just wanted

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to give an opportunity
to speak, if there's

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any kind of clarifying
questions on previous stuff.

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There are some things
I've added to this lecture

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that people have brought
up, but I'll just--

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there's no other
questions before I go?

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OK.

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I keep reading the
reading responses

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and I see some ideas
that have been missed.

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So as they come up, I'll try
to add them into the lecture.

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All right.

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So let's talk about this topic.

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There are a number of
ways of decarbonizing.

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Nuclear is one.

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Renewables was one.

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Carbon capture and storage,
which we aren't really

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going to talk about, is one.

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Geothermal, which you can
clump into renewables, is one.

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Of all of these,
renewables is the cheapest.

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And we saw this result from
Jacopo Bongiorno's model.

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This is for the Southern
United States that

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has good renewable capacity.

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And you see that they allow
carbon capture and storage

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to be part of the model.

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And we had a big chunk of
energy coming from renewables

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in this modeling simulation.

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I think this is something
that got missed based on,

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like I said, reading
people's responses.

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This is a cost-optimized system.

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So for any level
of decarbonization,

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it's telling you the optimal mix
that gets you that generation

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without spending too much money.

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I mean, we could build
a bunch of little wheels

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with hamsters in
them and they would

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produce carbon-free energy.

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It would just be very expensive.

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There's all kinds of
solutions, but these

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are the cost-optimal ones.

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But something seems
to have not dropped.

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Is that these are also
dispatch optimized mixes.

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Maybe dispatch viable mixes,
like the wind and solar capacity

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that makes up this chunk is not,
let's say, nameplate capacity.

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This is like, I don't know
what, 60% of generation.

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It doesn't mean
that the nameplate

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capacity of wind
and solar is 60%

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of the total electrical demand.

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The capacity may actually
be much, much in excess

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of that in order for
it to reliably produce

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60% of demand on average.

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So these models, despite
the of non-dispatchability

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of wind and solar,
these are models

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which keep the grid running.

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These are not solutions
which are not viable.

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And this is an important point.

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I also realized I never
really talked about what

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dispatchability means.

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It's a nuanced thing.

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So often when we
say dispatchability,

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we say something like, I went to
your nuclear operators and said,

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I want you to give me a gigawatt
of electricity next week.

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And you say, sure,
I can do that.

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And that's dispatchability.

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And if I go to the
solar people and I

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say, I want you to give me
a gigawatt of electricity,

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they may say, well, we can't
promise you a gigawatt.

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Or if they have a lot of
excess build, they'll say,

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well, we have a 99% chance we
can promise you a gigawatt.

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And at the end of the
day, the nuclear plant

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also has some chance of not
being able to provide it.

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So you can get there.

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You get towards dispatchability
with excess generation.

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But there's a second
aspect of dispatchability

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that we haven't
really talked about,

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and that's really maybe it's
better termed as flexibility.

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If I say to you, oh
my gosh, it turns out,

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everyone is plugged in
their cars for some reason.

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And I need more power now.

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I need it on the grid in 10
minutes to keep the grid up.

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Nuclear I can't help you.

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It takes me a day
to boot the plant.

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And then the solar people
goes oh, no problem.

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And they can just
turn on the power.

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So that is a really
important element,

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same with taking power off.

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You can curtail wind and
solar instantaneously.

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You can't generally curtail
nuclear instantaneously.

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This thing has got to
dump the heat somewhere.

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So variability is really
important and arguably more

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important.

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It's hard to rank
these things, but it's

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really important to keeping
the grid operating, which

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is it's a just-in-time system
where we're constantly trying

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to balance supply and
demand, and you only

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have a tiny margin within
which you can work.

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But it's also why you don't
ever see wind and solar becoming

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100%, because despite
the fact that it

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is very flexible,
in order to achieve

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both flexibility and
guaranteed dispatchability,

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you would need so much
overbuild that it just doesn't

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become economically sensible.

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So you always see it
blended in with some storage

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to deal with those times
where you can't dispatch it,

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and some kind of firm resource,
which in this model is nuclear.

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But in other models, likely that
would be taken up by geothermal,

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if you had it,
because geothermal

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is a dispatchable,
low-carbon energy source,

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just like nuclear.

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So those were for the areas
where renewables were poor.

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Here in areas where
renewables are not so great,

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you see the total renewable
capacity is closer to 20%

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or total generation
is closer to only 20%.

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And that's kind of interesting.

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That's actually just about where
nuclear is today in the US grid.

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So the rest has to come
from something else.

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And in this model,
it's a lot of storage,

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and some carbon
capture and storage,

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a lot of battery storage
which I think in this model

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is lithium ion, and then some
carbon capture and storage

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on natural gas.

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This technology I don't
really track it too closely,

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but you could imagine
there would be reasons

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why this technology doesn't
really reach full scale usage

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is, for example,
I'm not certain how

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reliable the CO2 can actually
be stored on long timescales.

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Does it leak out, and so on?

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And I'm not sure that we really
have good answers to this yet,

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but it would be a good
paper topic for people who

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really want to dig into that.

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If this goes away,
what happens is you see

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these other things expanding.

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We see more storage, more
wind and solar, maybe

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more nuclear, or more
geothermal, depending.

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So anyway, I just
wanted to remind you

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that these are models
that keep the grid up.

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They take into account
the variability

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of the generation source.

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All right.

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So let's talk about what's going
on in the world with renewables.

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I said they're kind
of eating our lunch.

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And here is an example.

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This is global changes to
the worldwide, not just

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US, in electricity
generation by source.

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Every year, we see, so
brown means is coal.

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We see some coal coming
upline, coal coming upline,

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coal was built,
coal was built, coal

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was built, coal coming
offline, coal coming offline.

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Actually, I shouldn't
say offline.

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This is generation.

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So I just say used or not used,
compared to previous years.

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But what you see is that
basically renewables

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are producing more and more
and more electricity every year

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globally.

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And the result is that it's
rapidly decarbonizing the grid.

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And at least in OECD countries,
developed Western world,

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renewables now
generates not capacity,

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but actually produces
watts on the grid

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more so than any other
source of electricity

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other than natural gas.

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So it's not something
that's coming.

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It's very much here
in large amounts,

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and it is growing very rapidly.

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So, I don't have data.

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Unfortunately, the people
who published this chart

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rearranged their data.

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So they now clump coal and gas
and they call it fossil fuels.

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And so you can't
really tell where

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renewables are relative
to these other sources.

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So that's just my data
only goes to 2020.

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And I really don't know if
renewables has now crossed gas

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or not, but it may well have.

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So the result of all of
this generation being built

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is big changes in the
structure of the grid.

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This is just the United States.

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And this is for this year.

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This gets published at the
end of the previous year,

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and this is what's in the queue.

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And these things are
typically in the queue

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for about five years before
they get on the grid.

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So we have a pretty good
idea of what's coming online.

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And so it says between wind,
solar, and battery storage,

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the United States is scheduled
to add 63 watts of capacity.

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To add that much
nuclear at the current

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build rate in the United
States would take us 315 years.

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So this is happening
in one year.

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It's happening this year.

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And we're halfway done with it.

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That gives you a
sense of how big you'd

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have to ramp the nuclear
industry to start competing

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with this industry, right.

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A 31,000% increase in the
size of the nuclear industry,

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just to break even
with wind and solar.

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I can't really
underscore this enough.

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This is not something coming.

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This is already here.

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So our question is like,
will it keep going?

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Is there something that will
in the end suddenly stop this.

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And there are two basic
things that might do that.

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One is resource constraints.

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OK, it's nice, but
land is going to become

00:12:11.710 --> 00:12:14.070 align:middle line:90%
an issue, something like that.

00:12:14.070 --> 00:12:19.390 align:middle line:84%
And the other two
is when you put

00:12:19.390 --> 00:12:23.510 align:middle line:84%
more and more variable
generation on the grid,

00:12:23.510 --> 00:12:28.270 align:middle line:84%
you have more volatility in
the supply of electricity.

00:12:28.270 --> 00:12:33.470 align:middle line:84%
And the question is, will
we require so much overbuild

00:12:33.470 --> 00:12:36.510 align:middle line:84%
in order to dispatch
that generation that it

00:12:36.510 --> 00:12:38.270 align:middle line:90%
becomes uneconomic?

00:12:38.270 --> 00:12:41.460 align:middle line:84%
It's fine if solar
that only turns on

00:12:41.460 --> 00:12:43.660 align:middle line:84%
in the middle of the
day, and you only

00:12:43.660 --> 00:12:46.780 align:middle line:84%
have a little bit of solar,
because in the middle

00:12:46.780 --> 00:12:51.060 align:middle line:84%
of the day, you have a
little bit of extra demand.

00:12:51.060 --> 00:12:53.660 align:middle line:90%
And so it's nicely balanced.

00:12:53.660 --> 00:12:57.180 align:middle line:84%
But in the future, if you
have a grid built on solar

00:12:57.180 --> 00:12:59.620 align:middle line:84%
and then you need
to turn on power

00:12:59.620 --> 00:13:03.000 align:middle line:84%
in the middle of the night,
maybe it doesn't work, right?

00:13:03.000 --> 00:13:05.020 align:middle line:84%
So how much
overbuild do you need

00:13:05.020 --> 00:13:08.708 align:middle line:84%
to keep the grid
running, and that

00:13:08.708 --> 00:13:10.500 align:middle line:84%
makes the economics
less and less favorable

00:13:10.500 --> 00:13:12.840 align:middle line:84%
as you get more and
more renewables.

00:13:12.840 --> 00:13:15.900 align:middle line:84%
So we'll look at both of
these questions today.

00:13:15.900 --> 00:13:19.700 align:middle line:84%
So just in the basic
most basic level

00:13:19.700 --> 00:13:23.700 align:middle line:84%
at the physics kind of
approach, yes, there's

00:13:23.700 --> 00:13:28.140 align:middle line:84%
a lot of sun on the surface
of the United States.

00:13:28.140 --> 00:13:33.900 align:middle line:84%
3,500 times annual consumption,
if you put solar panels over

00:13:33.900 --> 00:13:37.780 align:middle line:84%
the entire United States,
obviously that's not possible.

00:13:37.780 --> 00:13:43.650 align:middle line:84%
How much land would you have to
cover with solar panels to power

00:13:43.650 --> 00:13:46.670 align:middle line:84%
the entire US electrical
grid strictly from solar,

00:13:46.670 --> 00:13:47.730 align:middle line:90%
which you would never do?

00:13:47.730 --> 00:13:51.530 align:middle line:84%
But if you wanted to do that,
how much land would you need?

00:13:51.530 --> 00:13:54.050 align:middle line:84%
Assuming 20% panel
efficiency would

00:13:54.050 --> 00:14:03.850 align:middle line:84%
need 0.04% of land, which is a
square about 60 miles per side.

00:14:03.850 --> 00:14:08.290 align:middle line:84%
And so is that a lot of
land or not a lot of land?

00:14:08.290 --> 00:14:12.490 align:middle line:84%
And I think we need some
context to understand that.

00:14:12.490 --> 00:14:16.770 align:middle line:84%
So if I put it all in one
spot here, here it is.

00:14:16.770 --> 00:14:19.130 align:middle line:90%
It looks enormous.

00:14:19.130 --> 00:14:23.650 align:middle line:84%
It looks like it's taking
up a chunk of Nevada.

00:14:23.650 --> 00:14:25.650 align:middle line:84%
This, Incidentally,
is almost exactly

00:14:25.650 --> 00:14:27.670 align:middle line:84%
the same size as the
Nevada test site,

00:14:27.670 --> 00:14:31.110 align:middle line:84%
where we test our
nuclear weapons,

00:14:31.110 --> 00:14:34.130 align:middle line:84%
so we've devoted exactly
the same amount of land

00:14:34.130 --> 00:14:35.970 align:middle line:90%
to testing bombs.

00:14:35.970 --> 00:14:38.560 align:middle line:84%
I guess we could probably
devote the same amount of land

00:14:38.560 --> 00:14:42.420 align:middle line:90%
to building solar farms.

00:14:42.420 --> 00:14:46.800 align:middle line:90%


00:14:46.800 --> 00:14:54.360 align:middle line:84%
It's also important to remember
that we do already devote land

00:14:54.360 --> 00:14:57.675 align:middle line:90%
to making energy.

00:14:57.675 --> 00:14:59.300 align:middle line:84%
I mean, a lot of land
to making energy.

00:14:59.300 --> 00:15:01.700 align:middle line:84%
Obviously, every energy
production takes some amount.

00:15:01.700 --> 00:15:03.960 align:middle line:84%
But does anyone have in
mind, like the most land

00:15:03.960 --> 00:15:05.940 align:middle line:84%
intensive form of
energy generation?

00:15:05.940 --> 00:15:09.560 align:middle line:90%


00:15:09.560 --> 00:15:12.457 align:middle line:84%
AUDIENCE: I'd say maybe
hydro, with like the lakes.

00:15:12.457 --> 00:15:13.040 align:middle line:90%
PROFESSOR: No.

00:15:13.040 --> 00:15:15.600 align:middle line:90%


00:15:15.600 --> 00:15:17.500 align:middle line:90%
AUDIENCE: Is it solar?

00:15:17.500 --> 00:15:20.000 align:middle line:90%
PROFESSOR: Corn ethanol.

00:15:20.000 --> 00:15:24.640 align:middle line:84%
We grow corn in America strictly
to turn it into ethanol,

00:15:24.640 --> 00:15:28.640 align:middle line:84%
to make gasoline, well, to
dilute gasoline with ethanol.

00:15:28.640 --> 00:15:32.360 align:middle line:84%
And this is one fifth
of the amount of land

00:15:32.360 --> 00:15:36.630 align:middle line:84%
that we already use
to grow corn ethanol.

00:15:36.630 --> 00:15:41.750 align:middle line:84%
And on top of it, the life
cycle emissions of corn ethanol

00:15:41.750 --> 00:15:45.670 align:middle line:90%
is about half that of gasoline.

00:15:45.670 --> 00:15:49.310 align:middle line:84%
So it's not a low-carbon
energy source.

00:15:49.310 --> 00:15:51.050 align:middle line:84%
This is a low carbon
energy source.

00:15:51.050 --> 00:15:53.030 align:middle line:90%
Right?

00:15:53.030 --> 00:15:58.010 align:middle line:84%
So we could easily cut down
one fifth of corn crops,

00:15:58.010 --> 00:16:01.350 align:middle line:84%
replace them with solar panels,
and significantly further

00:16:01.350 --> 00:16:05.630 align:middle line:84%
decarbonize the system by
getting rid of medium polluting

00:16:05.630 --> 00:16:12.510 align:middle line:84%
ethanol and replacing it with
net zero basically for CO2.

00:16:12.510 --> 00:16:16.030 align:middle line:84%
It's also about one eighth
of the amount of area

00:16:16.030 --> 00:16:19.470 align:middle line:84%
that we currently devote to
the emergency planning zones

00:16:19.470 --> 00:16:22.590 align:middle line:84%
for the 98 nuclear reactors
in the United States.

00:16:22.590 --> 00:16:24.500 align:middle line:84%
Now, people live in
emergency planning zones,

00:16:24.500 --> 00:16:26.250 align:middle line:84%
so you can do other
things with that land.

00:16:26.250 --> 00:16:30.990 align:middle line:84%
But in terms of just realizing
that there are constraints being

00:16:30.990 --> 00:16:34.640 align:middle line:84%
put on the large amounts of
land for energy generation,

00:16:34.640 --> 00:16:37.420 align:middle line:84%
this is something
we do all the time.

00:16:37.420 --> 00:16:40.060 align:middle line:84%
It looks a lot different
if I spread it out.

00:16:40.060 --> 00:16:44.980 align:middle line:84%
That's the same amount of land
spread out in tiny little dots.

00:16:44.980 --> 00:16:49.260 align:middle line:84%
And suddenly like oh,
well, that looks fine.

00:16:49.260 --> 00:16:54.180 align:middle line:84%
So is there that
much land available?

00:16:54.180 --> 00:16:58.140 align:middle line:84%
So here's a plot that shows the
amount of land that belongs just

00:16:58.140 --> 00:16:59.360 align:middle line:90%
to the federal government.

00:16:59.360 --> 00:17:00.080 align:middle line:90%
No one owns.

00:17:00.080 --> 00:17:01.520 align:middle line:90%
It belongs to the government.

00:17:01.520 --> 00:17:05.099 align:middle line:84%
It's about 28% of
the United States.

00:17:05.099 --> 00:17:07.500 align:middle line:84%
An enormous amount
of that land is

00:17:07.500 --> 00:17:10.780 align:middle line:84%
in solar-friendly
friendly regions.

00:17:10.780 --> 00:17:16.508 align:middle line:84%
And so we use this land for
things like military bases,

00:17:16.508 --> 00:17:18.300 align:middle line:84%
and like I said, the
Nevada test site where

00:17:18.300 --> 00:17:21.260 align:middle line:84%
we test nuclear weapons,
not in principle

00:17:21.260 --> 00:17:23.180 align:middle line:84%
any reason why we
couldn't also-- we

00:17:23.180 --> 00:17:25.300 align:middle line:84%
granted land, federal
land, to NuScale

00:17:25.300 --> 00:17:28.280 align:middle line:90%
to build their nuclear reactor.

00:17:28.280 --> 00:17:31.890 align:middle line:84%
We could theoretically
do the same for solar.

00:17:31.890 --> 00:17:33.330 align:middle line:90%
Yes question or no?

00:17:33.330 --> 00:17:34.610 align:middle line:90%
OK.

00:17:34.610 --> 00:17:36.850 align:middle line:90%
OK, so what about non-US?

00:17:36.850 --> 00:17:38.710 align:middle line:90%
I mean, the US is a big space.

00:17:38.710 --> 00:17:41.290 align:middle line:90%
What about countries like Japan?

00:17:41.290 --> 00:17:43.570 align:middle line:90%
That might be more interesting.

00:17:43.570 --> 00:17:46.810 align:middle line:84%
So here's a nice way
to do the comparison.

00:17:46.810 --> 00:17:48.830 align:middle line:84%
Here are the land use
in the United States.

00:17:48.830 --> 00:17:53.450 align:middle line:84%
And you see 29% of land is
pasture land, and grass,

00:17:53.450 --> 00:17:58.570 align:middle line:84%
and ranges with
basically nothing on it.

00:17:58.570 --> 00:18:00.530 align:middle line:90%
We have some forest.

00:18:00.530 --> 00:18:04.930 align:middle line:84%
But forest are not a great
place for solar panels

00:18:04.930 --> 00:18:07.210 align:middle line:84%
because trees tend
to grow there.

00:18:07.210 --> 00:18:09.830 align:middle line:84%
We don't necessarily want
to displace cropland,

00:18:09.830 --> 00:18:11.690 align:middle line:84%
but we could because
a lot of that

00:18:11.690 --> 00:18:14.330 align:middle line:90%
is being used for corn ethanol.

00:18:14.330 --> 00:18:16.450 align:middle line:84%
But we have a lot of
what you would call

00:18:16.450 --> 00:18:19.130 align:middle line:90%
empty land that we could use.

00:18:19.130 --> 00:18:22.490 align:middle line:84%
So another potential
issue with solar

00:18:22.490 --> 00:18:25.970 align:middle line:84%
might be can you build
all these solar panels?

00:18:25.970 --> 00:18:31.600 align:middle line:84%
So if you look at the minerals
required to make solar panels,

00:18:31.600 --> 00:18:34.680 align:middle line:84%
there doesn't appear to be
a fundamental supply-chain

00:18:34.680 --> 00:18:35.640 align:middle line:90%
problem.

00:18:35.640 --> 00:18:38.420 align:middle line:84%
The biggest near-term
risk is over,

00:18:38.420 --> 00:18:41.120 align:middle line:84%
which is used in these-- you
see these traces on the front

00:18:41.120 --> 00:18:43.880 align:middle line:90%
of these silicon solar panels.

00:18:43.880 --> 00:18:46.960 align:middle line:84%
It's actually so the
enormous growth of solar

00:18:46.960 --> 00:18:52.680 align:middle line:84%
is responsible for the current
shortage in the silver market.

00:18:52.680 --> 00:18:55.160 align:middle line:84%
But there are all
kinds of things

00:18:55.160 --> 00:18:57.280 align:middle line:84%
that manufacturers
are doing because

00:18:57.280 --> 00:19:00.680 align:middle line:84%
of the economic pressure,
the rising cost of silver.

00:19:00.680 --> 00:19:03.620 align:middle line:84%
To deal with this, they are
making the traces thinner.

00:19:03.620 --> 00:19:07.240 align:middle line:84%
They are making copper traces
that are just silver plated.

00:19:07.240 --> 00:19:09.200 align:middle line:84%
And the studies
basically suggest

00:19:09.200 --> 00:19:15.280 align:middle line:84%
that between this
thrift and substitution

00:19:15.280 --> 00:19:19.960 align:middle line:84%
for silicon-type
solar panels, silver

00:19:19.960 --> 00:19:23.440 align:middle line:84%
will not be a limitation
in the long run.

00:19:23.440 --> 00:19:28.020 align:middle line:84%
Everything else in a traditional
silicon cell, the polysilicon,

00:19:28.020 --> 00:19:29.710 align:middle line:84%
the glass, aluminum,
encapsulants,

00:19:29.710 --> 00:19:33.230 align:middle line:84%
even the copper
for the wiring are

00:19:33.230 --> 00:19:37.630 align:middle line:84%
things that will require
a diversified supply

00:19:37.630 --> 00:19:39.210 align:middle line:90%
and expansion of supply.

00:19:39.210 --> 00:19:44.190 align:middle line:84%
But there's not a critical
mineral resource limitation.

00:19:44.190 --> 00:19:48.270 align:middle line:84%
When it comes to recycling solar
panels, dealing with the waste

00:19:48.270 --> 00:19:54.790 align:middle line:84%
problem, there isn't a toxicity
issue or a technology issue

00:19:54.790 --> 00:19:56.470 align:middle line:90%
with doing recycling.

00:19:56.470 --> 00:20:01.030 align:middle line:84%
The problem is really just
like the sheer scale of it

00:20:01.030 --> 00:20:04.870 align:middle line:90%
and making it economic to do so.

00:20:04.870 --> 00:20:07.030 align:middle line:84%
So by 2050, we're
expecting something

00:20:07.030 --> 00:20:14.030 align:middle line:84%
like 60 to 80 million tons of
waste solar panels worldwide.

00:20:14.030 --> 00:20:19.510 align:middle line:84%
Most of that mass is
glass and aluminum.

00:20:19.510 --> 00:20:21.650 align:middle line:84%
Both of those things
are very recyclable.

00:20:21.650 --> 00:20:26.550 align:middle line:84%
The problem is that the silicon
panel itself is very thin

00:20:26.550 --> 00:20:29.280 align:middle line:84%
and has virtually
no intrinsic value.

00:20:29.280 --> 00:20:32.660 align:middle line:84%
Once it's used up, it's
not really worth recycling.

00:20:32.660 --> 00:20:37.000 align:middle line:84%
The silver content was, but
as the over content shrinks,

00:20:37.000 --> 00:20:39.540 align:middle line:84%
that becomes less
interesting to recycle.

00:20:39.540 --> 00:20:42.940 align:middle line:84%
And so for now, in
most markets, it's

00:20:42.940 --> 00:20:49.060 align:middle line:84%
much more economic to just trash
these panels after you rip off

00:20:49.060 --> 00:20:52.380 align:middle line:90%
the aluminum in the glass.

00:20:52.380 --> 00:20:55.780 align:middle line:84%
There are programs out
there to deal with this.

00:20:55.780 --> 00:20:59.220 align:middle line:84%
And Europe has a
collection and recycling

00:20:59.220 --> 00:21:01.525 align:middle line:90%
program for solar panels.

00:21:01.525 --> 00:21:02.900 align:middle line:84%
A company called
First Solar here

00:21:02.900 --> 00:21:05.600 align:middle line:84%
in the US, which
doesn't use silicon,

00:21:05.600 --> 00:21:07.420 align:middle line:84%
they use cadmium
telluride panels,

00:21:07.420 --> 00:21:10.920 align:middle line:84%
they have a closed-loop
recycling plant.

00:21:10.920 --> 00:21:13.140 align:middle line:84%
There are new recycling
plants in France

00:21:13.140 --> 00:21:17.620 align:middle line:84%
as well to do the silicon
recovery at scale.

00:21:17.620 --> 00:21:22.100 align:middle line:84%
What's missing is
really policy that

00:21:22.100 --> 00:21:25.530 align:middle line:90%
will make this economic to do.

00:21:25.530 --> 00:21:28.650 align:middle line:84%
And we have a similar
problem with dealing

00:21:28.650 --> 00:21:31.370 align:middle line:90%
with the waste from nuclear.

00:21:31.370 --> 00:21:34.850 align:middle line:84%
It's there and it
can sit in canisters

00:21:34.850 --> 00:21:39.010 align:middle line:84%
and it's not economically
favorable to do anything

00:21:39.010 --> 00:21:40.610 align:middle line:90%
with that waste.

00:21:40.610 --> 00:21:44.330 align:middle line:84%
So in the US, what
we did is we taxed

00:21:44.330 --> 00:21:50.970 align:middle line:84%
nuclear power 0.1
cents per kilowatt hour

00:21:50.970 --> 00:21:53.970 align:middle line:90%
is a tax for dealing with waste.

00:21:53.970 --> 00:21:56.770 align:middle line:84%
And we could, in principle
do the same for solar.

00:21:56.770 --> 00:21:59.830 align:middle line:84%
And that would solve
this waste panel problem.

00:21:59.830 --> 00:22:02.650 align:middle line:90%


00:22:02.650 --> 00:22:07.770 align:middle line:84%
For solar, resources
or waste do not

00:22:07.770 --> 00:22:10.210 align:middle line:84%
appear to be a
serious bottleneck.

00:22:10.210 --> 00:22:10.710 align:middle line:90%
All right.

00:22:10.710 --> 00:22:12.730 align:middle line:90%
Let's talk about wind.

00:22:12.730 --> 00:22:17.810 align:middle line:84%
So wind is more tricky because
there are density limitations.

00:22:17.810 --> 00:22:22.650 align:middle line:84%
You can at most fill about 1%
of your area with wind turbines

00:22:22.650 --> 00:22:28.640 align:middle line:84%
before you drag out too much
energy from the air currents.

00:22:28.640 --> 00:22:32.495 align:middle line:84%
Still, even with that
constraint, the United States,

00:22:32.495 --> 00:22:34.120 align:middle line:84%
cover the whole United
States with wind

00:22:34.120 --> 00:22:39.580 align:middle line:84%
farms would support 17 times
total electricity consumption.

00:22:39.580 --> 00:22:45.320 align:middle line:90%


00:22:45.320 --> 00:22:46.920 align:middle line:90%
All right.

00:22:46.920 --> 00:22:49.260 align:middle line:84%
And turbines are getting
bigger and much more efficient.

00:22:49.260 --> 00:22:51.920 align:middle line:90%
OK, fine.

00:22:51.920 --> 00:22:56.720 align:middle line:84%
It's interesting to ask,
what would wind do to--

00:22:56.720 --> 00:22:58.760 align:middle line:84%
OK, it's one thing to
talk about, OK, you're

00:22:58.760 --> 00:23:00.720 align:middle line:84%
slowing down the
wind and the zone

00:23:00.720 --> 00:23:02.220 align:middle line:84%
has only so much
extractable energy.

00:23:02.220 --> 00:23:03.800 align:middle line:90%
That's talking about.

00:23:03.800 --> 00:23:06.800 align:middle line:84%
But what is wind
doing to our climate?

00:23:06.800 --> 00:23:12.360 align:middle line:84%
Like if we do extract energy
from the air movements,

00:23:12.360 --> 00:23:13.657 align:middle line:90%
does that affect climate?

00:23:13.657 --> 00:23:15.240 align:middle line:84%
So there have been
a number of studies

00:23:15.240 --> 00:23:17.440 align:middle line:90%
that have looked at this.

00:23:17.440 --> 00:23:19.640 align:middle line:84%
There are studies
that they start out

00:23:19.640 --> 00:23:22.830 align:middle line:84%
with just a gigantic
idealized arrays,

00:23:22.830 --> 00:23:25.230 align:middle line:84%
and what they see
is a temperature

00:23:25.230 --> 00:23:28.650 align:middle line:90%
effect on the order of 1%.

00:23:28.650 --> 00:23:30.870 align:middle line:84%
And what do I mean by
a temperature effect?

00:23:30.870 --> 00:23:35.510 align:middle line:84%
Essentially, what
happens is that there's

00:23:35.510 --> 00:23:40.090 align:middle line:84%
mixing between the cold upper
troposphere and the warmer,

00:23:40.090 --> 00:23:42.030 align:middle line:90%
lower troposphere.

00:23:42.030 --> 00:23:47.030 align:middle line:84%
And the result is that the
nighttime-daytime temperatures

00:23:47.030 --> 00:23:48.750 align:middle line:90%
get closer together.

00:23:48.750 --> 00:23:53.550 align:middle line:84%
That, on average, the air is
more uniform in temperature.

00:23:53.550 --> 00:23:56.713 align:middle line:84%
It also pushes around the
precipitation a little bit.

00:23:56.713 --> 00:23:58.630 align:middle line:84%
So there are some places
that get a little bit

00:23:58.630 --> 00:24:00.838 align:middle line:84%
more precipitation, some
places that get a little bit

00:24:00.838 --> 00:24:01.990 align:middle line:90%
less precipitation.

00:24:01.990 --> 00:24:05.790 align:middle line:84%
And those changes tend to
be on the order of 10%.

00:24:05.790 --> 00:24:10.250 align:middle line:84%
So let's just look at some
studies in high resolution.

00:24:10.250 --> 00:24:14.710 align:middle line:84%
This is a regional climate
model that is probably

00:24:14.710 --> 00:24:17.230 align:middle line:90%
the best one I've seen.

00:24:17.230 --> 00:24:20.660 align:middle line:84%
These dots indicate the
locations of wind farms.

00:24:20.660 --> 00:24:24.203 align:middle line:84%
And so instead of just having
wind across the whole US

00:24:24.203 --> 00:24:26.620 align:middle line:84%
uniformly, they're trying to
say, where would you actually

00:24:26.620 --> 00:24:27.680 align:middle line:90%
build these wind farms?

00:24:27.680 --> 00:24:29.860 align:middle line:84%
How big would they
be realistically?

00:24:29.860 --> 00:24:34.260 align:middle line:84%
And this is the
result of that model.

00:24:34.260 --> 00:24:41.040 align:middle line:84%
And in this model,
the wind farm,

00:24:41.040 --> 00:24:43.420 align:middle line:84%
the cumulative size
of the wind farms

00:24:43.420 --> 00:24:48.540 align:middle line:84%
is enough to provide 100% of the
electricity to the United States

00:24:48.540 --> 00:24:52.280 align:middle line:84%
in terms of total production
and total consumption.

00:24:52.280 --> 00:24:55.940 align:middle line:84%
So it's not balanced,
so that you would need

00:24:55.940 --> 00:24:58.080 align:middle line:90%
a lot of batteries to do this.

00:24:58.080 --> 00:25:00.000 align:middle line:84%
But that's just to give
you a sense of scale.

00:25:00.000 --> 00:25:01.820 align:middle line:90%
It's just a scale.

00:25:01.820 --> 00:25:04.580 align:middle line:84%
And so you can see that they
see temperature perturbations

00:25:04.580 --> 00:25:06.980 align:middle line:84%
of up to 1 degree,
which is consistent

00:25:06.980 --> 00:25:11.260 align:middle line:84%
with the large primitive
studies, right in the middle.

00:25:11.260 --> 00:25:13.780 align:middle line:84%
But most of the regions
have perturbations

00:25:13.780 --> 00:25:17.840 align:middle line:90%
on order of about 0.3 degrees.

00:25:17.840 --> 00:25:20.210 align:middle line:84%
I think the technical average
across the United States

00:25:20.210 --> 00:25:24.290 align:middle line:84%
is 0.2, plus or minus
0.2 fluctuation.

00:25:24.290 --> 00:25:28.210 align:middle line:90%


00:25:28.210 --> 00:25:30.950 align:middle line:84%
In all the studies that
have looked at this,

00:25:30.950 --> 00:25:33.390 align:middle line:84%
the authors always note
a couple of things.

00:25:33.390 --> 00:25:38.130 align:middle line:84%
They say that the
changes are well

00:25:38.130 --> 00:25:43.330 align:middle line:84%
below the average or
interannual variability.

00:25:43.330 --> 00:25:45.938 align:middle line:84%
So one year, you're going
to be a little warmer.

00:25:45.938 --> 00:25:47.730 align:middle line:84%
One year, it's going
to be a little cooler.

00:25:47.730 --> 00:25:51.353 align:middle line:84%
These changes are
smaller than that.

00:25:51.353 --> 00:25:52.770 align:middle line:84%
And the other thing
they point out

00:25:52.770 --> 00:25:58.090 align:middle line:84%
is that these changes are way
smaller than not doing anything

00:25:58.090 --> 00:25:59.890 align:middle line:90%
from greenhouse gases.

00:25:59.890 --> 00:26:06.570 align:middle line:84%
So their view is, yeah,
there are some changes.

00:26:06.570 --> 00:26:12.490 align:middle line:84%
They are detectable
but not disruptive.

00:26:12.490 --> 00:26:14.490 align:middle line:84%
And indeed, the
largest changes tend

00:26:14.490 --> 00:26:15.970 align:middle line:84%
to be immediately
in the vicinity

00:26:15.970 --> 00:26:20.840 align:middle line:84%
and downwind of the wind
farms, as you can see here.

00:26:20.840 --> 00:26:23.800 align:middle line:84%
And if you put these wind
farms like in croplands,

00:26:23.800 --> 00:26:25.400 align:middle line:84%
these changes
regionally are actually

00:26:25.400 --> 00:26:30.280 align:middle line:84%
favorable because it prevents
your crops from freezing

00:26:30.280 --> 00:26:31.400 align:middle line:90%
overnight.

00:26:31.400 --> 00:26:36.740 align:middle line:84%
So people will continue to look
at this as wind farms get built.

00:26:36.740 --> 00:26:38.520 align:middle line:84%
People will be doing
studies to make sure

00:26:38.520 --> 00:26:41.000 align:middle line:84%
that these predictions
are correct because I

00:26:41.000 --> 00:26:43.080 align:middle line:84%
they're just predictions,
we really don't know.

00:26:43.080 --> 00:26:45.280 align:middle line:84%
And it's important to
keep tracking this.

00:26:45.280 --> 00:26:48.960 align:middle line:84%
So there is a non-zero
but probably negligible,

00:26:48.960 --> 00:26:54.160 align:middle line:84%
I guess, is the conclusion
effect on the climate.

00:26:54.160 --> 00:26:57.220 align:middle line:84%
What about these
mineral constraints?

00:26:57.220 --> 00:27:01.800 align:middle line:84%
So yeah, there are some concerns
about mineral constraints

00:27:01.800 --> 00:27:04.280 align:middle line:90%
for making the magnets.

00:27:04.280 --> 00:27:06.840 align:middle line:90%
These magnets use rare earths.

00:27:06.840 --> 00:27:09.520 align:middle line:84%
Particularly neodymium
and praseodymium

00:27:09.520 --> 00:27:12.540 align:middle line:90%
are the two big bottlenecks.

00:27:12.540 --> 00:27:14.240 align:middle line:90%
There's also some ytterbium.

00:27:14.240 --> 00:27:19.130 align:middle line:84%
And I forget, what is it,
Dy, does anyone remember?

00:27:19.130 --> 00:27:22.150 align:middle line:90%


00:27:22.150 --> 00:27:25.810 align:middle line:84%
I think it's like
[INAUDIBLE] or something.

00:27:25.810 --> 00:27:27.750 align:middle line:90%
Anyway, I don't remember.

00:27:27.750 --> 00:27:29.890 align:middle line:84%
So for one, terawatts
of installed capacity,

00:27:29.890 --> 00:27:32.350 align:middle line:84%
which is approximately the
total which is what was actually

00:27:32.350 --> 00:27:33.690 align:middle line:90%
shown on the previous plot.

00:27:33.690 --> 00:27:40.270 align:middle line:90%


00:27:40.270 --> 00:27:48.390 align:middle line:84%
Total US consumption is about
half a terawatt year, per year.

00:27:48.390 --> 00:27:50.730 align:middle line:84%
And given the capacity
factor for wind,

00:27:50.730 --> 00:27:53.510 align:middle line:84%
you would need to build
about 1 terawatt of wind

00:27:53.510 --> 00:27:55.470 align:middle line:90%
to get there roughly.

00:27:55.470 --> 00:27:58.430 align:middle line:84%
This is the amount of
minerals that you would need.

00:27:58.430 --> 00:28:00.470 align:middle line:84%
If you want the
global number, you

00:28:00.470 --> 00:28:02.810 align:middle line:84%
should multiply this
by a factor of 6,

00:28:02.810 --> 00:28:04.990 align:middle line:84%
because the United States
consumes about one sixth

00:28:04.990 --> 00:28:07.710 align:middle line:90%
of the global electricity.

00:28:07.710 --> 00:28:09.770 align:middle line:84%
So according to the
US Geological Survey,

00:28:09.770 --> 00:28:14.580 align:middle line:84%
this is about 0.7% of
known global reserves.

00:28:14.580 --> 00:28:16.500 align:middle line:84%
Known reserves used
to be underlying,

00:28:16.500 --> 00:28:19.420 align:middle line:84%
because there's always more
than we don't know about.

00:28:19.420 --> 00:28:24.780 align:middle line:90%
So it's not a huge amount.

00:28:24.780 --> 00:28:26.980 align:middle line:84%
If you did wind for
the whole world,

00:28:26.980 --> 00:28:30.620 align:middle line:84%
that would be 4% of
known global reserves.

00:28:30.620 --> 00:28:35.300 align:middle line:84%
So it will make a
dent, but whether it's

00:28:35.300 --> 00:28:43.460 align:middle line:84%
in terms of being like an actual
bottleneck, I don't see it yet.

00:28:43.460 --> 00:28:47.060 align:middle line:84%
Some more issues
with blade waste,

00:28:47.060 --> 00:28:50.260 align:middle line:84%
it was mentioned earlier by
someone a couple of weeks ago

00:28:50.260 --> 00:28:52.060 align:middle line:90%
in this class.

00:28:52.060 --> 00:28:55.460 align:middle line:84%
A lot of the existing
blades are glass fiber

00:28:55.460 --> 00:28:59.540 align:middle line:84%
set in thermo, in epoxy,
fiberglass, fiber-reinforced

00:28:59.540 --> 00:29:00.620 align:middle line:90%
epoxy.

00:29:00.620 --> 00:29:02.920 align:middle line:84%
The glass is in
principle recyclable,

00:29:02.920 --> 00:29:07.040 align:middle line:84%
but the problem is that the
entropy of the mix is obnoxious.

00:29:07.040 --> 00:29:09.220 align:middle line:84%
You can't get the
glass fibers out.

00:29:09.220 --> 00:29:12.450 align:middle line:84%
And these epoxies
are not re-meltable.

00:29:12.450 --> 00:29:16.930 align:middle line:84%
So for existing blades,
mostly what they do

00:29:16.930 --> 00:29:19.930 align:middle line:84%
is they just grind them up
and put them into asphalt

00:29:19.930 --> 00:29:23.610 align:middle line:90%
or concrete as filler.

00:29:23.610 --> 00:29:25.370 align:middle line:84%
But there are a
bunch of proposals

00:29:25.370 --> 00:29:30.570 align:middle line:90%
for making recyclable blades.

00:29:30.570 --> 00:29:35.170 align:middle line:90%
So where are they?

00:29:35.170 --> 00:29:38.090 align:middle line:84%
Yeah, they have
either moved to do

00:29:38.090 --> 00:29:40.090 align:middle line:84%
some research in
fundamental chemistry

00:29:40.090 --> 00:29:43.770 align:middle line:84%
to find solvents that can
depolymerize these epoxies

00:29:43.770 --> 00:29:46.390 align:middle line:90%
or just use different materials.

00:29:46.390 --> 00:29:49.890 align:middle line:84%
And so there are
things like that

00:29:49.890 --> 00:29:52.188 align:middle line:84%
have been called
recyclomine and others

00:29:52.188 --> 00:29:53.730 align:middle line:84%
that have been
developed specifically

00:29:53.730 --> 00:29:55.930 align:middle line:90%
to make wind turbine blades.

00:29:55.930 --> 00:29:57.850 align:middle line:90%
I don't know how good they are.

00:29:57.850 --> 00:30:02.330 align:middle line:84%
They have been used in
turbines now since 2021,

00:30:02.330 --> 00:30:06.230 align:middle line:84%
and whether they have the same
lifetime or the same economics,

00:30:06.230 --> 00:30:08.030 align:middle line:84%
I actually couldn't
really tell you.

00:30:08.030 --> 00:30:09.890 align:middle line:90%
But it is an issue.

00:30:09.890 --> 00:30:13.620 align:middle line:90%
People are working on it.

00:30:13.620 --> 00:30:16.880 align:middle line:84%
It would be bad if wind
turbines was a major source

00:30:16.880 --> 00:30:18.760 align:middle line:90%
of microplastics.

00:30:18.760 --> 00:30:21.046 align:middle line:90%
Right?

00:30:21.046 --> 00:30:24.000 align:middle line:84%
So engineering is being
done and there does

00:30:24.000 --> 00:30:25.880 align:middle line:90%
appear to be some path forward.

00:30:25.880 --> 00:30:27.440 align:middle line:84%
But I think, again,
something else

00:30:27.440 --> 00:30:29.480 align:middle line:90%
that ought to be understood.

00:30:29.480 --> 00:30:33.600 align:middle line:84%
There are a bunch of other
aspects about wind and solar

00:30:33.600 --> 00:30:40.340 align:middle line:84%
in terms of externalities, like
impact on how useful land is,

00:30:40.340 --> 00:30:44.360 align:middle line:84%
or whether it's killing birds,
or whether it's making noise.

00:30:44.360 --> 00:30:47.180 align:middle line:84%
And we will look at
those, not today,

00:30:47.180 --> 00:30:48.940 align:middle line:84%
but when we do the
externalities lecture,

00:30:48.940 --> 00:30:50.920 align:middle line:84%
we're going to add
those all up and see how

00:30:50.920 --> 00:30:53.800 align:middle line:90%
that affects wind and solar.

00:30:53.800 --> 00:31:01.440 align:middle line:84%
So for both wind and solar,
there are no showstoppers yet.

00:31:01.440 --> 00:31:03.400 align:middle line:84%
Let's talk a little
bit about geothermal.

00:31:03.400 --> 00:31:05.520 align:middle line:84%
I call it a
semi-renewable resource

00:31:05.520 --> 00:31:08.800 align:middle line:84%
because you're digging
a hole into the ground.

00:31:08.800 --> 00:31:11.830 align:middle line:84%
You're sucking heat out
of it and it cools off.

00:31:11.830 --> 00:31:13.790 align:middle line:84%
And the way it warms
up again is you

00:31:13.790 --> 00:31:20.330 align:middle line:84%
have to have, essentially churn
from the magma in the Earth,

00:31:20.330 --> 00:31:22.070 align:middle line:90%
and that takes time.

00:31:22.070 --> 00:31:25.390 align:middle line:84%
So they tend to recharge
themselves on 100-year

00:31:25.390 --> 00:31:27.670 align:middle line:90%
timescales.

00:31:27.670 --> 00:31:32.710 align:middle line:84%
But we have something like
an estimated 1,000 times US

00:31:32.710 --> 00:31:36.390 align:middle line:84%
consumption in extractable
renewable heat.

00:31:36.390 --> 00:31:40.270 align:middle line:84%
So as long as this
number divided by 100

00:31:40.270 --> 00:31:43.430 align:middle line:84%
is greater than
1, we can probably

00:31:43.430 --> 00:31:47.390 align:middle line:84%
call it a renewable resource,
something like that.

00:31:47.390 --> 00:31:48.130 align:middle line:90%
All right.

00:31:48.130 --> 00:31:56.030 align:middle line:84%
So then the obvious question
is, if this is so great

00:31:56.030 --> 00:32:01.230 align:middle line:84%
and it's dispatchable
and there's plenty of it,

00:32:01.230 --> 00:32:02.410 align:middle line:90%
where is it?

00:32:02.410 --> 00:32:05.190 align:middle line:90%


00:32:05.190 --> 00:32:11.140 align:middle line:84%
So it turns out issues
faced by geothermal

00:32:11.140 --> 00:32:13.740 align:middle line:84%
are not actually that
different from the issues faced

00:32:13.740 --> 00:32:15.120 align:middle line:90%
by the nuclear community.

00:32:15.120 --> 00:32:19.020 align:middle line:90%
It's one of finance.

00:32:19.020 --> 00:32:21.940 align:middle line:90%
So here's how geothermal works.

00:32:21.940 --> 00:32:24.820 align:middle line:84%
You go somewhere where you
think there's a good place

00:32:24.820 --> 00:32:29.460 align:middle line:84%
to drill a well, but the
well that you have to drill

00:32:29.460 --> 00:32:32.820 align:middle line:84%
is about 2 to 3
kilometers underground,

00:32:32.820 --> 00:32:36.800 align:middle line:84%
and you're not really
sure what is beneath you

00:32:36.800 --> 00:32:38.500 align:middle line:90%
3 kilometers underground.

00:32:38.500 --> 00:32:41.380 align:middle line:84%
So you spend a lot of money,
essentially all the upfront

00:32:41.380 --> 00:32:44.860 align:middle line:84%
costs, just like building
nuclear, all the upfront costs,

00:32:44.860 --> 00:32:46.240 align:middle line:90%
drilling a hole in the ground.

00:32:46.240 --> 00:32:48.440 align:middle line:84%
And you might find
that the well is good,

00:32:48.440 --> 00:32:50.520 align:middle line:84%
or you might find that
the well is not good.

00:32:50.520 --> 00:32:54.780 align:middle line:90%


00:32:54.780 --> 00:32:59.660 align:middle line:84%
And it's expensive to drill
hot, hard rock very deep.

00:32:59.660 --> 00:33:03.260 align:middle line:84%
So investors who are looking
at projects, they're saying,

00:33:03.260 --> 00:33:05.860 align:middle line:84%
we want to invest in
energy for private capital,

00:33:05.860 --> 00:33:07.850 align:middle line:90%
for someone's retirement fund.

00:33:07.850 --> 00:33:11.250 align:middle line:84%
We're going to invest
in some energy projects.

00:33:11.250 --> 00:33:15.050 align:middle line:84%
Would you invest in wind, or
would you invest in geothermal?

00:33:15.050 --> 00:33:17.810 align:middle line:84%
They invest in wind because
they know it can be built

00:33:17.810 --> 00:33:22.690 align:middle line:84%
and there's a lower risk of
the individual investors losing

00:33:22.690 --> 00:33:24.770 align:middle line:90%
their money on a project.

00:33:24.770 --> 00:33:28.530 align:middle line:84%
And so this has basically
slowed interest in geothermal.

00:33:28.530 --> 00:33:31.550 align:middle line:84%
It's also what slows
interest in nuclear.

00:33:31.550 --> 00:33:36.650 align:middle line:84%
Because if you
think back to 2005,

00:33:36.650 --> 00:33:42.370 align:middle line:84%
29 nuclear plants were going to
be built in the United States.

00:33:42.370 --> 00:33:44.930 align:middle line:90%
License applications were filed.

00:33:44.930 --> 00:33:47.390 align:middle line:84%
And of those, two
got built, right?

00:33:47.390 --> 00:33:52.430 align:middle line:84%
So imagine you were an investor
trying to invest in nuclear,

00:33:52.430 --> 00:33:58.130 align:middle line:84%
and on average, you have a
one-in-15 chance of actually

00:33:58.130 --> 00:34:02.650 align:middle line:84%
making money, and a 14 out of
15 chance of losing your money.

00:34:02.650 --> 00:34:05.360 align:middle line:84%
You probably wouldn't
invest in nuclear.

00:34:05.360 --> 00:34:07.880 align:middle line:84%
And the way we've
solved that in nuclear

00:34:07.880 --> 00:34:10.100 align:middle line:84%
is to have federal
loan guarantees.

00:34:10.100 --> 00:34:13.040 align:middle line:84%
And if we had a similar
basically saying,

00:34:13.040 --> 00:34:15.960 align:middle line:84%
we guarantee that you'll be
able to pay your investors back,

00:34:15.960 --> 00:34:18.100 align:middle line:84%
and if they did something
similar with geothermal,

00:34:18.100 --> 00:34:22.719 align:middle line:84%
I think we would see
a lot more geothermal.

00:34:22.719 --> 00:34:26.080 align:middle line:84%
There's some other stuff
related to permitting.

00:34:26.080 --> 00:34:28.800 align:middle line:84%
It slows it down and makes
these projects take a long time

00:34:28.800 --> 00:34:31.320 align:middle line:84%
because you have to deal with
a lot of groundwater issues

00:34:31.320 --> 00:34:32.920 align:middle line:90%
and so on.

00:34:32.920 --> 00:34:36.699 align:middle line:84%
But those are delay
factors more than anything.

00:34:36.699 --> 00:34:39.400 align:middle line:90%


00:34:39.400 --> 00:34:41.260 align:middle line:84%
I had one more point
I wanted to make here,

00:34:41.260 --> 00:34:42.580 align:middle line:90%
and it just slipped my mind.

00:34:42.580 --> 00:34:48.080 align:middle line:90%


00:34:48.080 --> 00:34:49.880 align:middle line:90%
All right.

00:34:49.880 --> 00:34:54.199 align:middle line:84%
Oh, the point was that
investors' decision

00:34:54.199 --> 00:34:58.240 align:middle line:84%
to invest in wind and solar,
which is obvious given like I

00:34:58.240 --> 00:35:00.800 align:middle line:84%
showed you these charts of how
much is actually being built,

00:35:00.800 --> 00:35:05.180 align:middle line:84%
that's all being paid for
by private capital or mostly

00:35:05.180 --> 00:35:07.780 align:middle line:90%
private capital.

00:35:07.780 --> 00:35:12.380 align:middle line:84%
There will come a
point where the value

00:35:12.380 --> 00:35:17.140 align:middle line:84%
of building the next
wind or solar farm

00:35:17.140 --> 00:35:21.860 align:middle line:84%
decreases because of so much
capacity already on the grid,

00:35:21.860 --> 00:35:24.000 align:middle line:84%
that these projects,
these geothermal projects,

00:35:24.000 --> 00:35:26.500 align:middle line:84%
will start to look
more attractive.

00:35:26.500 --> 00:35:31.100 align:middle line:84%
So it's exactly what
the economics predicts.

00:35:31.100 --> 00:35:36.620 align:middle line:84%
You're going to see basically
natural gas and wind and solar.

00:35:36.620 --> 00:35:38.140 align:middle line:84%
And that's what
you're going to see.

00:35:38.140 --> 00:35:40.620 align:middle line:84%
And then at some
point, you're going

00:35:40.620 --> 00:35:43.740 align:middle line:84%
to see these dispatchable
technologies show up

00:35:43.740 --> 00:35:47.998 align:middle line:84%
because the economics force
the situation to go there.

00:35:47.998 --> 00:35:50.040 align:middle line:84%
So that's when we're going
to see the geothermal.

00:35:50.040 --> 00:35:52.860 align:middle line:90%


00:35:52.860 --> 00:35:53.400 align:middle line:90%
All right.

00:35:53.400 --> 00:36:03.370 align:middle line:84%
So how much can we do or how
much will be done on the grid?

00:36:03.370 --> 00:36:06.750 align:middle line:84%
I guess the answer is it appears
from what I just showed you,

00:36:06.750 --> 00:36:09.630 align:middle line:84%
that wind and solar can
heavily decarbonize the grid.

00:36:09.630 --> 00:36:11.810 align:middle line:90%
It's cheap.

00:36:11.810 --> 00:36:13.910 align:middle line:84%
Why aren't we
decarbonized already?

00:36:13.910 --> 00:36:16.010 align:middle line:90%
It's cheaper than natural gas.

00:36:16.010 --> 00:36:19.130 align:middle line:84%
Why hasn't it
displaced natural gas?

00:36:19.130 --> 00:36:22.610 align:middle line:84%
The answer is it's
doing so, but it's

00:36:22.610 --> 00:36:25.730 align:middle line:84%
rate limited by
something exogenous.

00:36:25.730 --> 00:36:30.570 align:middle line:84%
And what's rate limiting the
deployment of wind and solar

00:36:30.570 --> 00:36:33.470 align:middle line:84%
in the United States,
is not economics.

00:36:33.470 --> 00:36:37.050 align:middle line:84%
It's actually
connecting to the grid.

00:36:37.050 --> 00:36:43.890 align:middle line:84%
So this is a plot which I've
extended for two more years,

00:36:43.890 --> 00:36:48.730 align:middle line:84%
showing you the total amount of
generation capacity from wind

00:36:48.730 --> 00:36:51.890 align:middle line:84%
and solar waiting
to be connected

00:36:51.890 --> 00:36:54.570 align:middle line:90%
to the grid every year.

00:36:54.570 --> 00:37:00.440 align:middle line:84%
And you can see that by
2023, the amount waiting

00:37:00.440 --> 00:37:05.360 align:middle line:84%
to be connected to the grid is
twice the amount of electricity

00:37:05.360 --> 00:37:09.160 align:middle line:90%
that we actually use.

00:37:09.160 --> 00:37:10.400 align:middle line:90%
That's the black line.

00:37:10.400 --> 00:37:14.280 align:middle line:84%
That's the existing
generating capacity.

00:37:14.280 --> 00:37:20.160 align:middle line:84%
Now remember, this stuff has
30% to 40% availability capacity

00:37:20.160 --> 00:37:20.700 align:middle line:90%
factor.

00:37:20.700 --> 00:37:25.060 align:middle line:84%
And this stuff has closer
to 100% capacity factor.

00:37:25.060 --> 00:37:34.320 align:middle line:84%
So this amount of capacity
waiting to connect still it's

00:37:34.320 --> 00:37:36.220 align:middle line:84%
not going to provide
all the electricity,

00:37:36.220 --> 00:37:39.580 align:middle line:84%
but it's getting close to
providing all the electricity.

00:37:39.580 --> 00:37:42.240 align:middle line:90%


00:37:42.240 --> 00:37:46.040 align:middle line:84%
It's a really staggering
amount, 2.7 terawatts

00:37:46.040 --> 00:37:48.720 align:middle line:90%
of capacity in 2023.

00:37:48.720 --> 00:37:53.200 align:middle line:84%
It's down a little
bit since then.

00:37:53.200 --> 00:37:56.760 align:middle line:84%
So the bottleneck is
basically getting access

00:37:56.760 --> 00:38:00.350 align:middle line:84%
to the grid and the
average time that you

00:38:00.350 --> 00:38:05.590 align:middle line:84%
are stuck in this queue is
about five years right now.

00:38:05.590 --> 00:38:13.630 align:middle line:84%
And there's an order from
the Federal Energy Regulatory

00:38:13.630 --> 00:38:15.790 align:middle line:84%
Commission, I guess,
that says that it's

00:38:15.790 --> 00:38:17.510 align:middle line:90%
a first-in, first-out queue.

00:38:17.510 --> 00:38:19.950 align:middle line:84%
So the people who
signed up first

00:38:19.950 --> 00:38:21.530 align:middle line:90%
will come out first and so on.

00:38:21.530 --> 00:38:25.390 align:middle line:90%


00:38:25.390 --> 00:38:29.390 align:middle line:84%
So why are these things
taking so long to connect?

00:38:29.390 --> 00:38:32.850 align:middle line:84%
Well, if you just dump all
this generation on the grid,

00:38:32.850 --> 00:38:35.550 align:middle line:84%
that is variable,
the people who run

00:38:35.550 --> 00:38:37.890 align:middle line:84%
the grid won't be able
to keep running the grid,

00:38:37.890 --> 00:38:41.310 align:middle line:84%
because the grid is
not designed to handle

00:38:41.310 --> 00:38:43.990 align:middle line:90%
all of this variability.

00:38:43.990 --> 00:38:46.710 align:middle line:84%
And there's a couple of
different problems with it.

00:38:46.710 --> 00:38:52.030 align:middle line:84%
So one is related
to predictability

00:38:52.030 --> 00:38:53.050 align:middle line:90%
and controllability.

00:38:53.050 --> 00:38:53.963 align:middle line:90%
Yeah?

00:38:53.963 --> 00:38:55.130 align:middle line:90%
AUDIENCE: I have a question.

00:38:55.130 --> 00:38:59.120 align:middle line:84%
So about what you mentioned
that the queue is first-in,

00:38:59.120 --> 00:39:02.240 align:middle line:84%
first-out, I heard
this a few times,

00:39:02.240 --> 00:39:04.140 align:middle line:84%
but I haven't
looked into it a lot

00:39:04.140 --> 00:39:08.238 align:middle line:84%
myself, is that developers
will put projects in,

00:39:08.238 --> 00:39:10.780 align:middle line:84%
even though they're not really
sure if they're actually going

00:39:10.780 --> 00:39:13.740 align:middle line:84%
to follow through because of the
queue, so they might as well put

00:39:13.740 --> 00:39:16.660 align:middle line:84%
it in and that the actual
percentage, so let's say

00:39:16.660 --> 00:39:20.360 align:middle line:84%
commitment on what's in the
queue, is relatively low.

00:39:20.360 --> 00:39:23.248 align:middle line:84%
If you have an idea
of how low that is--

00:39:23.248 --> 00:39:25.040 align:middle line:84%
PROFESSOR: That's a
very interesting point.

00:39:25.040 --> 00:39:28.220 align:middle line:90%
I don't.

00:39:28.220 --> 00:39:30.440 align:middle line:84%
That would be a really
good thing to look into.

00:39:30.440 --> 00:39:37.420 align:middle line:84%
I am aware of the alternative
situation where essentially

00:39:37.420 --> 00:39:41.900 align:middle line:84%
people have made real
investments in projects,

00:39:41.900 --> 00:39:45.740 align:middle line:84%
and the grid operator has
basically denied them access,

00:39:45.740 --> 00:39:50.420 align:middle line:84%
and they start suing
for access and so on.

00:39:50.420 --> 00:39:52.020 align:middle line:90%
I really don't know.

00:39:52.020 --> 00:39:55.790 align:middle line:84%
Yeah, that's probably a
hard number to come across,

00:39:55.790 --> 00:39:58.230 align:middle line:84%
but something worth
looking into for sure.

00:39:58.230 --> 00:39:58.730 align:middle line:90%
Yeah.

00:39:58.730 --> 00:40:09.210 align:middle line:90%


00:40:09.210 --> 00:40:13.770 align:middle line:84%
Yeah, I guess we can't really
tell anything from this data.

00:40:13.770 --> 00:40:14.990 align:middle line:90%
Yeah, I will look into that.

00:40:14.990 --> 00:40:16.730 align:middle line:90%
That's a very good point.

00:40:16.730 --> 00:40:20.130 align:middle line:90%
Let me just make a note here.

00:40:20.130 --> 00:40:22.810 align:middle line:84%
We might not really
be able to tell.

00:40:22.810 --> 00:40:30.570 align:middle line:84%
I mean, I guess if people
put in connection orders,

00:40:30.570 --> 00:40:36.110 align:middle line:84%
they're not going
to say publicly,

00:40:36.110 --> 00:40:37.910 align:middle line:84%
we don't really have
the money to do this,

00:40:37.910 --> 00:40:41.195 align:middle line:84%
but we're just putting in a
connection order just in case.

00:40:41.195 --> 00:40:42.570 align:middle line:84%
AUDIENCE: Yeah,
I mean, it sounds

00:40:42.570 --> 00:40:46.410 align:middle line:84%
from when I was talking to
people from the MIT Energy

00:40:46.410 --> 00:40:48.290 align:middle line:84%
Initiative, et cetera,
that in more of the,

00:40:48.290 --> 00:40:51.810 align:middle line:84%
let's say grid
modeling community,

00:40:51.810 --> 00:40:53.430 align:middle line:84%
this is somewhat
of a known thing.

00:40:53.430 --> 00:40:56.560 align:middle line:84%
But I never heard them
mention any numbers

00:40:56.560 --> 00:40:59.800 align:middle line:84%
about oh, we think
half of them are fake,

00:40:59.800 --> 00:41:04.480 align:middle line:84%
but it seems to be a
somewhat known thing.

00:41:04.480 --> 00:41:05.520 align:middle line:90%
PROFESSOR: Interesting.

00:41:05.520 --> 00:41:07.460 align:middle line:84%
I had never heard of
this, but I will look.

00:41:07.460 --> 00:41:10.880 align:middle line:84%
It makes sense that
this would be done.

00:41:10.880 --> 00:41:14.280 align:middle line:84%
So OK, even if we say
half of them are fake,

00:41:14.280 --> 00:41:18.840 align:middle line:90%
that's still a lot.

00:41:18.840 --> 00:41:19.380 align:middle line:90%
All right.

00:41:19.380 --> 00:41:23.040 align:middle line:84%
So, let's just talk about the
problems, why these things can't

00:41:23.040 --> 00:41:25.360 align:middle line:84%
be connected right away,
which, despite whether they're

00:41:25.360 --> 00:41:29.760 align:middle line:84%
real or fake, I think
are our real problems.

00:41:29.760 --> 00:41:35.040 align:middle line:84%
So one is this
forecasting what is

00:41:35.040 --> 00:41:37.880 align:middle line:84%
going to be actually
available, how much wind

00:41:37.880 --> 00:41:40.560 align:middle line:84%
you're going to have, how much
sun, you're going to have.

00:41:40.560 --> 00:41:42.960 align:middle line:84%
And the weather
models and ability

00:41:42.960 --> 00:41:46.000 align:middle line:84%
to do that forecasting
has gotten a lot better,

00:41:46.000 --> 00:41:48.440 align:middle line:84%
but the integration
of that information

00:41:48.440 --> 00:41:53.570 align:middle line:84%
into the running of the
grid has not yet happened.

00:41:53.570 --> 00:42:00.070 align:middle line:84%
Traditionally, the grid was
designed to basically dispatch

00:42:00.070 --> 00:42:02.070 align:middle line:84%
most of your
generation, and then you

00:42:02.070 --> 00:42:05.910 align:middle line:84%
would have these small, tiny,
near-term capacity markets

00:42:05.910 --> 00:42:08.230 align:middle line:90%
to do the little adjustments.

00:42:08.230 --> 00:42:13.770 align:middle line:84%
And now we would need to
redesign how that happens,

00:42:13.770 --> 00:42:17.150 align:middle line:84%
so that the dispatch
is more just in time

00:42:17.150 --> 00:42:19.830 align:middle line:84%
to deal with the large
amount of wind and solar.

00:42:19.830 --> 00:42:25.110 align:middle line:84%
So basically it's a control
theory and software problem.

00:42:25.110 --> 00:42:29.230 align:middle line:84%
And there are people
working on this.

00:42:29.230 --> 00:42:31.910 align:middle line:90%
But it is a major limitation.

00:42:31.910 --> 00:42:35.590 align:middle line:84%
The other thing that has been
raised is ancillary services.

00:42:35.590 --> 00:42:39.430 align:middle line:84%
So traditionally
you have one thing

00:42:39.430 --> 00:42:41.030 align:middle line:84%
is just putting
watts on the grid.

00:42:41.030 --> 00:42:45.010 align:middle line:84%
But the other thing is that
you need to do voltage control.

00:42:45.010 --> 00:42:48.190 align:middle line:84%
You need to have regular up
and down regulation, frequency

00:42:48.190 --> 00:42:49.940 align:middle line:90%
stability.

00:42:49.940 --> 00:42:55.720 align:middle line:84%
These things come generally from
synchronous spinning generators,

00:42:55.720 --> 00:43:01.060 align:middle line:84%
which are basically large moving
masses that are synchronously

00:43:01.060 --> 00:43:03.160 align:middle line:90%
linked to the grid.

00:43:03.160 --> 00:43:06.140 align:middle line:84%
And they provide an inertia
against unwanted change

00:43:06.140 --> 00:43:09.860 align:middle line:84%
and they stabilize the
frequency, and so on.

00:43:09.860 --> 00:43:12.260 align:middle line:84%
Traditionally, the inverters
used for wind and solar

00:43:12.260 --> 00:43:15.340 align:middle line:84%
or particularly for
solar, don't do that.

00:43:15.340 --> 00:43:18.300 align:middle line:84%
However, there are
now fancier inverters

00:43:18.300 --> 00:43:21.420 align:middle line:84%
called smart
inverters, that have

00:43:21.420 --> 00:43:26.860 align:middle line:84%
software to simulate the effects
of being a rotating machine.

00:43:26.860 --> 00:43:30.880 align:middle line:84%
And I think it was
this last year, CAISO,

00:43:30.880 --> 00:43:36.140 align:middle line:84%
the California grid operator,
gave a large-scale test of these

00:43:36.140 --> 00:43:41.860 align:middle line:84%
smart inverters, a 300-megawatt
megawatt electric solar farm,

00:43:41.860 --> 00:43:45.660 align:middle line:84%
using them and to see what they
could actually do on a real grid

00:43:45.660 --> 00:43:48.260 align:middle line:84%
in terms of providing
these ancillary services.

00:43:48.260 --> 00:43:50.810 align:middle line:84%
And according to
their report, they

00:43:50.810 --> 00:43:54.690 align:middle line:84%
performed comparable to or
better than conventional units.

00:43:54.690 --> 00:43:58.450 align:middle line:84%
So it looks like the smart
inverter technology will solve

00:43:58.450 --> 00:44:03.730 align:middle line:90%
the ancillary services problem.

00:44:03.730 --> 00:44:07.070 align:middle line:84%
So in short, it's basically
software electrical engineering,

00:44:07.070 --> 00:44:10.730 align:middle line:84%
grid permitting, and software
and software and software

00:44:10.730 --> 00:44:13.610 align:middle line:84%
that basically has
to be worked out

00:44:13.610 --> 00:44:15.230 align:middle line:90%
to get large amounts of solar.

00:44:15.230 --> 00:44:17.070 align:middle line:90%
And it's coming.

00:44:17.070 --> 00:44:21.210 align:middle line:84%
A of people are working
on these problems.

00:44:21.210 --> 00:44:22.210 align:middle line:90%
All right.

00:44:22.210 --> 00:44:34.690 align:middle line:84%
So I just thought to go back to
our first slide or early slide,

00:44:34.690 --> 00:44:39.330 align:middle line:84%
there doesn't appear to
be issues in category 1.

00:44:39.330 --> 00:44:42.730 align:middle line:84%
So let's just look a
little bit at category 2.

00:44:42.730 --> 00:44:49.160 align:middle line:84%
Now, we saw something that
looks like a category 2

00:44:49.160 --> 00:44:54.700 align:middle line:84%
result with this, which just
says for localized grids,

00:44:54.700 --> 00:44:56.600 align:middle line:90%
this is the answer.

00:44:56.600 --> 00:44:59.260 align:middle line:84%
But what is the situation,
if we really said,

00:44:59.260 --> 00:45:03.280 align:middle line:84%
let's look at across
the whole United States?

00:45:03.280 --> 00:45:06.340 align:middle line:84%
We might also be interested in
let's look at all across Europe.

00:45:06.340 --> 00:45:09.100 align:middle line:84%
So I wrote a paper
on across Europe.

00:45:09.100 --> 00:45:10.960 align:middle line:90%
It's in the readings.

00:45:10.960 --> 00:45:15.000 align:middle line:84%
There's another group, Shaner,
who's the author of the paper.

00:45:15.000 --> 00:45:21.560 align:middle line:84%
They wrote one on across
the United States.

00:45:21.560 --> 00:45:23.880 align:middle line:84%
Theirs is a little bit
different than mine

00:45:23.880 --> 00:45:30.440 align:middle line:84%
in that they don't have
particular technologies

00:45:30.440 --> 00:45:31.460 align:middle line:90%
substituting.

00:45:31.460 --> 00:45:37.680 align:middle line:84%
But I thought, who
read Shaner's paper?

00:45:37.680 --> 00:45:39.283 align:middle line:84%
Not many people
actually read it yet.

00:45:39.283 --> 00:45:41.700 align:middle line:84%
A lot of people in nuclear
love it because if you read it,

00:45:41.700 --> 00:45:45.950 align:middle line:84%
it sounds like wind and solar
are really going to fail.

00:45:45.950 --> 00:45:51.470 align:middle line:84%
But I think it's just worth
like looking at it carefully.

00:45:51.470 --> 00:45:53.770 align:middle line:90%
So let me just walk you through.

00:45:53.770 --> 00:45:57.470 align:middle line:84%
These are the solution
sets from their model.

00:45:57.470 --> 00:46:02.570 align:middle line:84%
So what this plots
is on the left axis,

00:46:02.570 --> 00:46:04.150 align:middle line:84%
the mean solar and
wind generation

00:46:04.150 --> 00:46:07.590 align:middle line:84%
normalized by the
electricity demand.

00:46:07.590 --> 00:46:11.550 align:middle line:84%
And so one indicates
that the wind and solar

00:46:11.550 --> 00:46:14.910 align:middle line:84%
is providing exactly the
same amount of electricity

00:46:14.910 --> 00:46:16.630 align:middle line:90%
as demanded.

00:46:16.630 --> 00:46:19.310 align:middle line:84%
But, of course, because it
doesn't produce electricity

00:46:19.310 --> 00:46:23.010 align:middle line:84%
at the right moment in
time, that's not enough.

00:46:23.010 --> 00:46:27.170 align:middle line:84%
You need to build more wind
and solar to deal with that,

00:46:27.170 --> 00:46:31.390 align:middle line:84%
or you need to load shift it
with storage, one of the two.

00:46:31.390 --> 00:46:35.150 align:middle line:84%
So if storage were free, then
you could just build this,

00:46:35.150 --> 00:46:35.770 align:middle line:90%
right?

00:46:35.770 --> 00:46:37.750 align:middle line:90%
But storage is not free.

00:46:37.750 --> 00:46:41.870 align:middle line:84%
And so this is a fraction of the
electricity demand that is met

00:46:41.870 --> 00:46:44.940 align:middle line:84%
with wind and
solar plus storage,

00:46:44.940 --> 00:46:49.840 align:middle line:84%
and they have zero storage
model, 12-hour storage model,

00:46:49.840 --> 00:46:54.460 align:middle line:84%
four-day storage model,
and a 32-day storage model.

00:46:54.460 --> 00:46:57.900 align:middle line:84%
Four days and 32 days of
storage is awfully expensive.

00:46:57.900 --> 00:47:01.380 align:middle line:84%
I don't consider those
things to be viable.

00:47:01.380 --> 00:47:04.840 align:middle line:84%
So I'm only interested in the
12 hours of storage model.

00:47:04.840 --> 00:47:07.420 align:middle line:84%
So we're only going to look
at this light green curve

00:47:07.420 --> 00:47:10.620 align:middle line:90%
here, light green curve.

00:47:10.620 --> 00:47:15.060 align:middle line:84%
This graph and this graph
is the exact same graph.

00:47:15.060 --> 00:47:17.740 align:middle line:84%
It's just that this
goes from 0 to 20.

00:47:17.740 --> 00:47:23.740 align:middle line:84%
And this graph is rescaled
to go from 0 to 99.99/

00:47:23.740 --> 00:47:26.680 align:middle line:84%
So it's focusing on
what's happening here,

00:47:26.680 --> 00:47:30.660 align:middle line:84%
which is the area of interest
because we're interested

00:47:30.660 --> 00:47:36.220 align:middle line:84%
in questions of can you produce
99% of the energy from wind

00:47:36.220 --> 00:47:37.420 align:middle line:90%
and solar?

00:47:37.420 --> 00:47:43.090 align:middle line:84%
So if you are interested in
running the entire grid just off

00:47:43.090 --> 00:47:47.410 align:middle line:84%
of wind and solar, and have the
same grid reliability that we

00:47:47.410 --> 00:47:53.330 align:middle line:84%
have today, you would be
somewhere around here, 99.9,

00:47:53.330 --> 00:47:58.570 align:middle line:84%
maybe in here, depending on
how many hours of blackout

00:47:58.570 --> 00:48:01.170 align:middle line:84%
you're willing to
tolerate a year.

00:48:01.170 --> 00:48:03.690 align:middle line:84%
So what my proposal
is, we'll just

00:48:03.690 --> 00:48:07.850 align:middle line:84%
look at the 12 hours
of storage, and we'll

00:48:07.850 --> 00:48:12.650 align:middle line:84%
look at 99.9% of
electricity demand being

00:48:12.650 --> 00:48:14.470 align:middle line:84%
met by wind and solar,
which is to say,

00:48:14.470 --> 00:48:17.250 align:middle line:84%
essentially the same
reliability, and basically

00:48:17.250 --> 00:48:18.510 align:middle line:90%
no other technologies.

00:48:18.510 --> 00:48:21.930 align:middle line:90%
This is not an optimal system.

00:48:21.930 --> 00:48:29.530 align:middle line:84%
We know from these results,
which are optimal systems,

00:48:29.530 --> 00:48:33.170 align:middle line:84%
that for a lowest
cost system, you

00:48:33.170 --> 00:48:39.090 align:middle line:84%
need some kind of dispatchable
stuff to make it lowest cost.

00:48:39.090 --> 00:48:41.740 align:middle line:84%
But that's not the question
we're trying to answer.

00:48:41.740 --> 00:48:43.700 align:middle line:84%
We're not asking what
is the optimal system.

00:48:43.700 --> 00:48:48.000 align:middle line:84%
We're just asking, is it even
feasible at a reasonable price?

00:48:48.000 --> 00:48:52.400 align:middle line:84%
That's the question I
want to answer right now.

00:48:52.400 --> 00:48:55.920 align:middle line:90%
So we'll look at these results.

00:48:55.920 --> 00:48:58.280 align:middle line:84%
And he has these
results that are

00:48:58.280 --> 00:49:06.040 align:middle line:84%
100% wind, 75% wind, 50%
wind, 25% wind, 100% solar,

00:49:06.040 --> 00:49:09.000 align:middle line:84%
different mixes between
these two renewables.

00:49:09.000 --> 00:49:13.320 align:middle line:84%
So let's just pick the 50/50
mix, half wind, half solar,

00:49:13.320 --> 00:49:19.760 align:middle line:84%
and see what we can do
with 50/50 mix and 12 hours

00:49:19.760 --> 00:49:21.280 align:middle line:90%
of storage.

00:49:21.280 --> 00:49:30.240 align:middle line:84%
So the first thing I want
to do is note for you

00:49:30.240 --> 00:49:38.550 align:middle line:84%
that if we take the left axis,
which is mean solar and wind

00:49:38.550 --> 00:49:48.830 align:middle line:84%
generation divided by
demand, and we divide

00:49:48.830 --> 00:49:53.270 align:middle line:84%
that axis by the
right axis, installed

00:49:53.270 --> 00:50:09.150 align:middle line:84%
capacity by mean demand, we get
generation per unit capacity,

00:50:09.150 --> 00:50:11.470 align:middle line:90%
which is capacity factor.

00:50:11.470 --> 00:50:13.190 align:middle line:90%
Does that make sense?

00:50:13.190 --> 00:50:19.350 align:middle line:84%
So if we look at this
intersection here, the 99.9%,

00:50:19.350 --> 00:50:35.950 align:middle line:84%
we have 1.7 divided by
6.5, which is about 25%.

00:50:35.950 --> 00:50:37.900 align:middle line:90%
Is that right?

00:50:37.900 --> 00:50:42.500 align:middle line:84%
So they're basically
saying that as you move up

00:50:42.500 --> 00:50:47.180 align:middle line:84%
to these very high
penetrations, the capacity

00:50:47.180 --> 00:50:51.860 align:middle line:84%
factor for the blend will
be something like 25%.

00:50:51.860 --> 00:50:55.300 align:middle line:84%
And this gets to this earlier
question that someone had,

00:50:55.300 --> 00:51:00.700 align:middle line:84%
because right now the capacity
factors are 41% and 30%

00:51:00.700 --> 00:51:03.740 align:middle line:84%
But if you have this
much, the average capacity

00:51:03.740 --> 00:51:06.140 align:middle line:90%
factor is going to drop.

00:51:06.140 --> 00:51:08.180 align:middle line:90%
So that makes sense.

00:51:08.180 --> 00:51:13.660 align:middle line:84%
So the first thing we need to do
or the next thing we need to do

00:51:13.660 --> 00:51:16.180 align:middle line:90%
is to calculate the cost.

00:51:16.180 --> 00:51:19.760 align:middle line:84%
So this is now a couple
of years out of date,

00:51:19.760 --> 00:51:22.260 align:middle line:84%
but the numbers are
close to the same.

00:51:22.260 --> 00:51:27.360 align:middle line:84%
This is the EIA's table
of cost, which remember,

00:51:27.360 --> 00:51:32.120 align:middle line:84%
comes from actual survey data of
real plants, real installations.

00:51:32.120 --> 00:51:34.220 align:middle line:90%
So this is not a forecast.

00:51:34.220 --> 00:51:38.730 align:middle line:84%
It is for nuclear, but not
for solar and not for wind.

00:51:38.730 --> 00:51:45.930 align:middle line:84%
So they have here some prices
and they have here a total cost

00:51:45.930 --> 00:51:47.890 align:middle line:90%
and a transmission cost.

00:51:47.890 --> 00:51:51.890 align:middle line:84%
And so the first thing we
want to do is subtract out,

00:51:51.890 --> 00:51:55.010 align:middle line:84%
again, I wish I had
a laser pointer.

00:51:55.010 --> 00:51:57.410 align:middle line:84%
Subtract out the
transmission cost just

00:51:57.410 --> 00:52:00.050 align:middle line:84%
to get the cost
of the generation.

00:52:00.050 --> 00:52:02.610 align:middle line:84%
And so if you look
here in this top plot,

00:52:02.610 --> 00:52:07.050 align:middle line:84%
you'll see I take
this top right there,

00:52:07.050 --> 00:52:13.050 align:middle line:84%
I take the price of
wind, which is $40.23

00:52:13.050 --> 00:52:17.910 align:middle line:84%
and I subtract out the
transmission component $2.63

00:52:17.910 --> 00:52:21.690 align:middle line:84%
That's the cost of the wind
farm, not the transmission line.

00:52:21.690 --> 00:52:27.610 align:middle line:84%
And then I multiply it by
0.41 divided by 0.25 in order

00:52:27.610 --> 00:52:29.857 align:middle line:84%
to rescale the cost
for a lower capacity

00:52:29.857 --> 00:52:31.690 align:middle line:84%
factor, because the
capacity factor is going

00:52:31.690 --> 00:52:34.380 align:middle line:90%
to go down from 41 to the 25.

00:52:34.380 --> 00:52:36.680 align:middle line:90%
Does that makes sense?

00:52:36.680 --> 00:52:40.500 align:middle line:84%
And so that tells me the
new, whatever that number is,

00:52:40.500 --> 00:52:44.200 align:middle line:84%
that's the new, I guess
the $62 per megawatt hour

00:52:44.200 --> 00:52:48.680 align:middle line:84%
is the price of the generation
at the reduced capacity factor.

00:52:48.680 --> 00:52:53.600 align:middle line:84%
Same thing for solar, it's $29
per megawatt hour at the reduced

00:52:53.600 --> 00:52:56.960 align:middle line:90%
capacity factor for solar.

00:52:56.960 --> 00:52:59.520 align:middle line:84%
Now I need to add the
transmission back in.

00:52:59.520 --> 00:53:01.600 align:middle line:84%
If we looked at these
transmission costs,

00:53:01.600 --> 00:53:08.120 align:middle line:84%
they're about 6% and
10% of the total cost.

00:53:08.120 --> 00:53:10.600 align:middle line:84%
But I happen to know
from other studies

00:53:10.600 --> 00:53:12.380 align:middle line:84%
that if you have this
much wind and solar,

00:53:12.380 --> 00:53:15.000 align:middle line:84%
your transmission costs
are going to be higher.

00:53:15.000 --> 00:53:18.920 align:middle line:84%
And a reasonable number,
which I used to give the grid

00:53:18.920 --> 00:53:21.060 align:middle line:84%
lecture first, but now I'm
going to give it later.

00:53:21.060 --> 00:53:23.800 align:middle line:84%
So you're just going to have
to trust me on this for now.

00:53:23.800 --> 00:53:27.840 align:middle line:84%
A reasonable number is
about 25% of the cost

00:53:27.840 --> 00:53:29.600 align:middle line:90%
will be transmission.

00:53:29.600 --> 00:53:32.710 align:middle line:84%
So we're going to add 25% to
deal with transmission required

00:53:32.710 --> 00:53:33.810 align:middle line:90%
for this generation.

00:53:33.810 --> 00:53:36.310 align:middle line:90%
That gets us to this number.

00:53:36.310 --> 00:53:38.150 align:middle line:90%
Everyone's good so far?

00:53:38.150 --> 00:53:42.150 align:middle line:84%
All right, now we need
to increase the storage

00:53:42.150 --> 00:53:49.350 align:middle line:84%
because Shaner says that
we need 12 hours of storage

00:53:49.350 --> 00:53:52.630 align:middle line:84%
in order for this
green line to be valid.

00:53:52.630 --> 00:53:58.950 align:middle line:84%
But this plot is if you read
the footnote, footnote C, which

00:53:58.950 --> 00:54:02.390 align:middle line:84%
I did not put here, it's
four hours of storage.

00:54:02.390 --> 00:54:04.170 align:middle line:84%
So we need to
rescale the storage.

00:54:04.170 --> 00:54:06.870 align:middle line:90%
So how much does storage cost?

00:54:06.870 --> 00:54:15.270 align:middle line:84%
So what we do is we say we have
to go back here to Sergeant

00:54:15.270 --> 00:54:16.510 align:middle line:90%
and Lundy's.

00:54:16.510 --> 00:54:19.430 align:middle line:84%
This used to be a
part of your homework

00:54:19.430 --> 00:54:20.810 align:middle line:90%
which I'm no longer assigning.

00:54:20.810 --> 00:54:23.030 align:middle line:84%
So you don't have these
numbers in your head.

00:54:23.030 --> 00:54:25.862 align:middle line:84%
So we go to the Sergeant
Lundy table, which

00:54:25.862 --> 00:54:27.570 align:middle line:84%
is produced for the
Department of Energy,

00:54:27.570 --> 00:54:28.987 align:middle line:84%
and they tell us
how much it costs

00:54:28.987 --> 00:54:31.220 align:middle line:84%
to build all these
different technologies.

00:54:31.220 --> 00:54:38.540 align:middle line:84%
And we see here they have
solar and solar with storage.

00:54:38.540 --> 00:54:42.380 align:middle line:84%
And this is about
four hours of storage.

00:54:42.380 --> 00:54:48.780 align:middle line:84%
So the capital cost difference
is 1755 versus 1313.

00:54:48.780 --> 00:54:54.260 align:middle line:84%
So the amount of
cost is roughly 25%

00:54:54.260 --> 00:54:58.820 align:middle line:84%
of the capital cost of a solar
farm with storage, roughly 25%

00:54:58.820 --> 00:55:09.900 align:middle line:84%
of that cost, which is to say
1755 divided by 1313, is 25%.

00:55:09.900 --> 00:55:14.580 align:middle line:84%
Roughly 25% of that cost is
going to be for the battery.

00:55:14.580 --> 00:55:15.120 align:middle line:90%
All right.

00:55:15.120 --> 00:55:20.460 align:middle line:84%
So 25% of the initial
cost of solar,

00:55:20.460 --> 00:55:25.160 align:middle line:84%
so it's this number minus
the transmission costs,

00:55:25.160 --> 00:55:32.690 align:middle line:84%
which is that, gives you $6.70
per megawatt hour for four hours

00:55:32.690 --> 00:55:34.170 align:middle line:90%
of storage.

00:55:34.170 --> 00:55:36.090 align:middle line:90%
We need 12 hours of storage.

00:55:36.090 --> 00:55:41.690 align:middle line:84%
So we're going to
multiply that times 3.

00:55:41.690 --> 00:55:45.520 align:middle line:84%
And that comes out to $20 per
megawatt hour for storage.

00:55:45.520 --> 00:55:47.770 align:middle line:84%
And we're going to add that
back to not only the solar

00:55:47.770 --> 00:55:49.930 align:middle line:84%
but we're also going
to add it to the wind.

00:55:49.930 --> 00:55:51.890 align:middle line:90%
So we need storage for both.

00:55:51.890 --> 00:55:54.250 align:middle line:84%
So here's your wind,
plus transmission,

00:55:54.250 --> 00:55:59.250 align:middle line:84%
rescaled for lower capacity
factor, add back in the storage.

00:55:59.250 --> 00:56:02.110 align:middle line:84%
And you get these numbers for
each generation technology.

00:56:02.110 --> 00:56:02.610 align:middle line:90%
Yep?

00:56:02.610 --> 00:56:05.068 align:middle line:84%
AUDIENCE: Do I need to assume
that the cost scales linearly

00:56:05.068 --> 00:56:05.770 align:middle line:90%
with storage?

00:56:05.770 --> 00:56:07.810 align:middle line:84%
PROFESSOR: It does
assume that, yeah,

00:56:07.810 --> 00:56:10.450 align:middle line:84%
because this storage
is lithium ion battery.

00:56:10.450 --> 00:56:11.330 align:middle line:90%
Yeah.

00:56:11.330 --> 00:56:11.930 align:middle line:90%
Yep?

00:56:11.930 --> 00:56:13.097 align:middle line:90%
AUDIENCE: I actually wonder.

00:56:13.097 --> 00:56:16.270 align:middle line:84%
I feel like I don't care about
wind and storage as much.

00:56:16.270 --> 00:56:18.910 align:middle line:90%
Is it equally cheap for solar?

00:56:18.910 --> 00:56:21.190 align:middle line:84%
You have one battery
pack and it's big,

00:56:21.190 --> 00:56:23.890 align:middle line:84%
but all your turbines are
kind of scattered around.

00:56:23.890 --> 00:56:25.530 align:middle line:90%
PROFESSOR: Is it really cheap?

00:56:25.530 --> 00:56:27.130 align:middle line:90%
No, it's the same.

00:56:27.130 --> 00:56:30.280 align:middle line:84%
Yeah, and ultimately that
all is going back to one node

00:56:30.280 --> 00:56:32.300 align:middle line:84%
where you're putting
it on the grid.

00:56:32.300 --> 00:56:32.800 align:middle line:90%
Yeah.

00:56:32.800 --> 00:56:36.440 align:middle line:90%


00:56:36.440 --> 00:56:40.620 align:middle line:84%
And we need a 50/50 blend
of these technologies.

00:56:40.620 --> 00:56:43.420 align:middle line:84%
That's what we
chose, the 50/50 mix.

00:56:43.420 --> 00:56:46.580 align:middle line:84%
So we just average the two
together to find the 50/50 mix.

00:56:46.580 --> 00:56:51.000 align:middle line:84%
It gets to $77
per megawatt hour.

00:56:51.000 --> 00:56:52.960 align:middle line:90%
And we need overbuild.

00:56:52.960 --> 00:56:55.280 align:middle line:90%
So I go back to this plot.

00:56:55.280 --> 00:56:57.220 align:middle line:90%
We chose the 50/50 mix.

00:56:57.220 --> 00:57:02.040 align:middle line:84%
And it says that mean generation
divided by mean demand

00:57:02.040 --> 00:57:03.720 align:middle line:84%
where it's somewhere
here, 1.7, we

00:57:03.720 --> 00:57:07.200 align:middle line:84%
have to generate 1.7 times
the amount of electricity

00:57:07.200 --> 00:57:09.760 align:middle line:84%
in order to deal
with the variability.

00:57:09.760 --> 00:57:13.080 align:middle line:84%
So we're going to
take that number

00:57:13.080 --> 00:57:15.440 align:middle line:84%
and multiply it
times 1.7 to deal

00:57:15.440 --> 00:57:19.960 align:middle line:84%
with the variability, where you
get to $131 per megawatt hour.

00:57:19.960 --> 00:57:25.390 align:middle line:84%
So this is a grid run
entirely by renewables

00:57:25.390 --> 00:57:30.390 align:middle line:84%
with 12 hours of storage
and excess generation

00:57:30.390 --> 00:57:36.750 align:middle line:84%
to deal with the variability
that operates 99.9% of the time.

00:57:36.750 --> 00:57:40.870 align:middle line:84%
So it's basically just as
reliable as the current system.

00:57:40.870 --> 00:57:47.790 align:middle line:84%
And the cost is $131,
which is essentially

00:57:47.790 --> 00:57:52.790 align:middle line:84%
the same price as base load
nuclear or much cheaper

00:57:52.790 --> 00:57:54.130 align:middle line:90%
than load following nuclear.

00:57:54.130 --> 00:57:56.910 align:middle line:84%
So there's the AP1000
load following number.

00:57:56.910 --> 00:57:59.970 align:middle line:90%
And there is the MIT.

00:57:59.970 --> 00:58:02.630 align:middle line:90%


00:58:02.630 --> 00:58:08.550 align:middle line:84%
future of nuclear nominal
cost estimate with 50% load

00:58:08.550 --> 00:58:12.230 align:middle line:90%
on schedule at 180 megawatt.

00:58:12.230 --> 00:58:13.910 align:middle line:90%
So it's just too cheap.

00:58:13.910 --> 00:58:15.190 align:middle line:90%
That's the problem.

00:58:15.190 --> 00:58:18.670 align:middle line:84%
If you have good
wind and solar, it's

00:58:18.670 --> 00:58:21.670 align:middle line:84%
really hard to see how
this becomes a problem.

00:58:21.670 --> 00:58:27.350 align:middle line:90%
So that's the bottom line.

00:58:27.350 --> 00:58:29.790 align:middle line:84%
In order to keep
nuclear in the mix,

00:58:29.790 --> 00:58:33.230 align:middle line:84%
you have to find a way to
get nuclear price way down.

00:58:33.230 --> 00:58:35.712 align:middle line:90%


00:58:35.712 --> 00:58:37.170 align:middle line:84%
And there are ideas
and we're going

00:58:37.170 --> 00:58:41.970 align:middle line:84%
to talk about
microreactors next week.

00:58:41.970 --> 00:58:43.610 align:middle line:84%
Any questions about
wind and solar?

00:58:43.610 --> 00:58:44.390 align:middle line:90%
Or microreactors?

00:58:44.390 --> 00:58:45.530 align:middle line:90%
Yeah, next week.

00:58:45.530 --> 00:58:47.530 align:middle line:90%
Yeah.

00:58:47.530 --> 00:58:48.890 align:middle line:90%
Yeah?

00:58:48.890 --> 00:58:52.610 align:middle line:84%
AUDIENCE: On the study that you
assigned talks about the fact

00:58:52.610 --> 00:58:54.890 align:middle line:84%
that building this
amount of storage

00:58:54.890 --> 00:58:57.770 align:middle line:84%
might be unfeasible, at least
with the current capacity

00:58:57.770 --> 00:58:59.570 align:middle line:90%
that there exists in the US.

00:58:59.570 --> 00:59:03.690 align:middle line:84%
Do these prices for storage for
$12 storage account for that?

00:59:03.690 --> 00:59:08.112 align:middle line:84%
PROFESSOR: So I didn't do
anything to account for that.

00:59:08.112 --> 00:59:10.070 align:middle line:84%
I don't know what would
affect the feasibility.

00:59:10.070 --> 00:59:11.590 align:middle line:90%
Was it a lithium resource?

00:59:11.590 --> 00:59:13.530 align:middle line:84%
AUDIENCE: It was
just the sheer amount

00:59:13.530 --> 00:59:15.930 align:middle line:84%
of batteries that
needed to be produced

00:59:15.930 --> 00:59:18.413 align:middle line:90%
in order to supply the demand.

00:59:18.413 --> 00:59:19.830 align:middle line:84%
They argued that
with the current,

00:59:19.830 --> 00:59:22.260 align:middle line:84%
for example, like
gigafactories, it

00:59:22.260 --> 00:59:23.880 align:middle line:84%
would take something
like 900 years

00:59:23.880 --> 00:59:26.480 align:middle line:84%
to get the amount of
energy that they need.

00:59:26.480 --> 00:59:29.720 align:middle line:84%
And I'm also wondering,
how this accounts

00:59:29.720 --> 00:59:31.920 align:middle line:84%
in terms of the laws
of capacity over time

00:59:31.920 --> 00:59:33.520 align:middle line:84%
for these battery
packs, which is what

00:59:33.520 --> 00:59:36.120 align:middle line:90%
happens with lithium batteries.

00:59:36.120 --> 00:59:38.040 align:middle line:90%
PROFESSOR: Yeah, so I believe--

00:59:38.040 --> 00:59:42.327 align:middle line:90%


00:59:42.327 --> 00:59:43.660 align:middle line:90%
I mean, this is a good question.

00:59:43.660 --> 00:59:48.000 align:middle line:84%
So these numbers, they call
this four hours of storage.

00:59:48.000 --> 00:59:51.880 align:middle line:84%
I don't know how much this
declines over the lifetime

00:59:51.880 --> 00:59:53.860 align:middle line:90%
of the battery packs.

00:59:53.860 --> 00:59:56.640 align:middle line:84%
So if they're calling it four
hours of storage, but on average

00:59:56.640 --> 00:59:59.720 align:middle line:84%
it's really one hour, then this
calculation is not correct.

00:59:59.720 --> 01:00:03.560 align:middle line:84%
And I don't have good
information about that.

01:00:03.560 --> 01:00:06.640 align:middle line:84%
So we'd have to dig into
what the EIA assumes

01:00:06.640 --> 01:00:08.840 align:middle line:90%
four hours of storage is.

01:00:08.840 --> 01:00:14.040 align:middle line:84%
In terms of the making of the
batteries, I think first of all,

01:00:14.040 --> 01:00:19.760 align:middle line:84%
I would say that using lithium
ion is a worst-case scenario.

01:00:19.760 --> 01:00:22.310 align:middle line:84%
There are lots of other
storage technologies coming.

01:00:22.310 --> 01:00:26.150 align:middle line:84%
I think [? mion ?] is
here, but it's expensive.

01:00:26.150 --> 01:00:32.030 align:middle line:84%
In terms of battery production,
if there's a market demand,

01:00:32.030 --> 01:00:34.070 align:middle line:90%
capacity will emerge.

01:00:34.070 --> 01:00:36.580 align:middle line:84%
That is not something that
particularly worries me.

01:00:36.580 --> 01:00:38.830 align:middle line:84%
What would worry me is
something that I haven't looked

01:00:38.830 --> 01:00:43.830 align:middle line:84%
at in this study, which is there
a lithium resource constraint?

01:00:43.830 --> 01:00:45.270 align:middle line:84%
The reason I didn't
look at it is

01:00:45.270 --> 01:00:47.810 align:middle line:84%
I'm assuming that we will
probably not use lithium.

01:00:47.810 --> 01:00:50.550 align:middle line:84%
We will use some kind of
flow battery chemistry,

01:00:50.550 --> 01:00:54.790 align:middle line:84%
or lead battery, or something
else that is cheap and abundant

01:00:54.790 --> 01:00:57.350 align:middle line:90%
but is not yet being deployed.

01:00:57.350 --> 01:01:01.310 align:middle line:84%
So I assume that this is
a conservative calculation

01:01:01.310 --> 01:01:05.510 align:middle line:84%
because it uses lithium
ion cost numbers.

01:01:05.510 --> 01:01:09.510 align:middle line:84%
But to answer these questions
in an intelligent way

01:01:09.510 --> 01:01:11.790 align:middle line:84%
would require someone
to really undertake

01:01:11.790 --> 01:01:14.310 align:middle line:90%
a study on battery technology.

01:01:14.310 --> 01:01:19.070 align:middle line:84%
I guess my final
comment on this is

01:01:19.070 --> 01:01:23.540 align:middle line:84%
part of the reason why there
is so much storage in Shaner's

01:01:23.540 --> 01:01:29.540 align:middle line:84%
model is that he doesn't have
anything other than storage.

01:01:29.540 --> 01:01:31.540 align:middle line:84%
That's a problem in
his model, and that's

01:01:31.540 --> 01:01:33.500 align:middle line:84%
why I signed the
version that I did

01:01:33.500 --> 01:01:36.080 align:middle line:84%
because what we do
is we say, OK, well,

01:01:36.080 --> 01:01:39.300 align:middle line:84%
why don't we have 1%
dispatchable, like we

01:01:39.300 --> 01:01:43.100 align:middle line:84%
do natural gas just because
it's built and it's there.

01:01:43.100 --> 01:01:46.340 align:middle line:84%
And we figure 99%
decarbonization is probably

01:01:46.340 --> 01:01:48.980 align:middle line:84%
just as good as 100%
decarbonization.

01:01:48.980 --> 01:01:52.680 align:middle line:84%
But you could also have 1%
geothermal, something like that.

01:01:52.680 --> 01:01:55.300 align:middle line:84%
And you see the
enormous cost reductions

01:01:55.300 --> 01:01:58.140 align:middle line:84%
that come about when
you substitute battery

01:01:58.140 --> 01:02:00.340 align:middle line:90%
for dispatchable generation.

01:02:00.340 --> 01:02:04.040 align:middle line:84%
So again, this is not a
cost optimized scenario.

01:02:04.040 --> 01:02:06.980 align:middle line:84%
This is not how it
would actually be built.

01:02:06.980 --> 01:02:11.780 align:middle line:84%
This is just saying that
wind and solar, in theory,

01:02:11.780 --> 01:02:12.980 align:middle line:90%
could do it.

01:02:12.980 --> 01:02:13.560 align:middle line:90%
Right?

01:02:13.560 --> 01:02:14.560 align:middle line:90%
That's all it's saying.

01:02:14.560 --> 01:02:17.460 align:middle line:90%


01:02:17.460 --> 01:02:19.450 align:middle line:90%
You wouldn't do it this way.

01:02:19.450 --> 01:02:22.690 align:middle line:84%
It would be foolish
to do it this way.

01:02:22.690 --> 01:02:25.710 align:middle line:84%
You would much rather
do it like this.

01:02:25.710 --> 01:02:29.310 align:middle line:90%


01:02:29.310 --> 01:02:29.810 align:middle line:90%
Yep?

01:02:29.810 --> 01:02:31.290 align:middle line:84%
AUDIENCE: When you discuss
the rare earth metals as far

01:02:31.290 --> 01:02:32.990 align:middle line:84%
as the mineral resources
for wind energy,

01:02:32.990 --> 01:02:35.240 align:middle line:84%
you mentioned, a total
percentage of global resources.

01:02:35.240 --> 01:02:38.400 align:middle line:84%
Do you know that percentage of
US resources or perhaps not?

01:02:38.400 --> 01:02:40.650 align:middle line:84%
PROFESSOR: I was looking for
it, but I didn't actually

01:02:40.650 --> 01:02:41.767 align:middle line:90%
have time to look it up.

01:02:41.767 --> 01:02:43.850 align:middle line:84%
So one of the problems is
the US Geological Survey

01:02:43.850 --> 01:02:48.690 align:middle line:84%
does not actually
import by mineral

01:02:48.690 --> 01:02:53.310 align:middle line:84%
or just report total
rare earth oxides.

01:02:53.310 --> 01:02:56.290 align:middle line:84%
And then you have to
break it down by what

01:02:56.290 --> 01:02:58.790 align:middle line:90%
the average rare earth ore is.

01:02:58.790 --> 01:03:01.610 align:middle line:84%
But then that data is only
available for the countries

01:03:01.610 --> 01:03:03.270 align:middle line:84%
that currently produce
the rare earth.

01:03:03.270 --> 01:03:05.630 align:middle line:84%
So it turned out not to
be an easy thing to do.

01:03:05.630 --> 01:03:08.190 align:middle line:84%
So I didn't have
that data for you.

01:03:08.190 --> 01:03:08.690 align:middle line:90%
Yeah.

01:03:08.690 --> 01:03:15.290 align:middle line:90%


01:03:15.290 --> 01:03:17.000 align:middle line:90%
Anything else?

01:03:17.000 --> 01:03:17.840 align:middle line:90%
Yep?

01:03:17.840 --> 01:03:19.215 align:middle line:84%
AUDIENCE: Something
really quick,

01:03:19.215 --> 01:03:21.562 align:middle line:84%
if you go back to
the slide before--

01:03:21.562 --> 01:03:22.520 align:middle line:90%
PROFESSOR: Slide which?

01:03:22.520 --> 01:03:25.040 align:middle line:84%
AUDIENCE: The one with all the
transmission costs that you

01:03:25.040 --> 01:03:26.520 align:middle line:90%
did the calculation on.

01:03:26.520 --> 01:03:29.200 align:middle line:84%
Transmission costs
was rather low.

01:03:29.200 --> 01:03:32.680 align:middle line:84%
If we were actually to scale
up in solar to the levels

01:03:32.680 --> 01:03:37.220 align:middle line:84%
that you're describing, wouldn't
you expect it to be higher?

01:03:37.220 --> 01:03:41.680 align:middle line:84%
I mean, you said that
25% transmission to add.

01:03:41.680 --> 01:03:42.960 align:middle line:90%
I guess that kind of answers.

01:03:42.960 --> 01:03:44.210 align:middle line:90%
PROFESSOR: That is the answer.

01:03:44.210 --> 01:03:48.360 align:middle line:84%
Yeah, so I estimate that
for nationwide transmission

01:03:48.360 --> 01:03:51.280 align:middle line:84%
that is needed to deal with
renewables is about 25%

01:03:51.280 --> 01:03:52.440 align:middle line:90%
of the cost.

01:03:52.440 --> 01:03:59.160 align:middle line:84%
And that's based on historical
transmission project costs.

01:03:59.160 --> 01:04:01.840 align:middle line:84%
I'll show you when we
get to the grid talk.

01:04:01.840 --> 01:04:04.720 align:middle line:84%
I have a little regression
model that tells you

01:04:04.720 --> 01:04:06.760 align:middle line:84%
how much it costs to
build transmission.

01:04:06.760 --> 01:04:09.040 align:middle line:84%
AUDIENCE: And then just
one more from before, you

01:04:09.040 --> 01:04:12.600 align:middle line:84%
were talking about the case when
we had one gigawatt of capacity

01:04:12.600 --> 01:04:15.170 align:middle line:90%
of wind for the entire country.

01:04:15.170 --> 01:04:18.190 align:middle line:84%
You have an idea
of how many wind

01:04:18.190 --> 01:04:20.870 align:middle line:84%
turbines that would
actually take to do,

01:04:20.870 --> 01:04:22.495 align:middle line:90%
the number, just roughly?

01:04:22.495 --> 01:04:23.870 align:middle line:84%
PROFESSOR: 1
gigawatt of capacity

01:04:23.870 --> 01:04:26.687 align:middle line:90%
in terms of number of turbines?

01:04:26.687 --> 01:04:27.270 align:middle line:90%
We'd have to--

01:04:27.270 --> 01:04:29.570 align:middle line:84%
AUDIENCE: What the typical
power of a turbine is.

01:04:29.570 --> 01:04:31.070 align:middle line:84%
PROFESSOR: Why don't
you just Google

01:04:31.070 --> 01:04:33.710 align:middle line:84%
what is the average power
of a current turbine?

01:04:33.710 --> 01:04:35.950 align:middle line:84%
Yeah, I mean, they've
gotten very big

01:04:35.950 --> 01:04:40.950 align:middle line:84%
and I don't know enough about
the mega-sized turbine turbines,

01:04:40.950 --> 01:04:42.990 align:middle line:84%
if they can be
deployed anywhere.

01:04:42.990 --> 01:04:45.170 align:middle line:84%
So I don't know what
the average size is.

01:04:45.170 --> 01:04:46.870 align:middle line:90%
But that's a very quick google.

01:04:46.870 --> 01:04:48.550 align:middle line:90%
You can do that yourself.

01:04:48.550 --> 01:04:51.110 align:middle line:90%
Yeah.

01:04:51.110 --> 01:04:52.670 align:middle line:90%
AUDIENCE: Let me show--

01:04:52.670 --> 01:04:56.430 align:middle line:84%
AUDIENCE: Could the expansion
of solar or wind turbines

01:04:56.430 --> 01:04:58.370 align:middle line:84%
lead to deforestation,
let's say,

01:04:58.370 --> 01:05:02.350 align:middle line:84%
or whatever other similar
concerns about this?

01:05:02.350 --> 01:05:05.150 align:middle line:84%
PROFESSOR: I think I
missed the first part.

01:05:05.150 --> 01:05:06.750 align:middle line:84%
AUDIENCE: The large
scale expansion.

01:05:06.750 --> 01:05:07.770 align:middle line:90%
PROFESSOR: Of solar?

01:05:07.770 --> 01:05:09.790 align:middle line:84%
AUDIENCE: [INAUDIBLE]
solar wind designs

01:05:09.790 --> 01:05:12.650 align:middle line:84%
of adverse effects
on the environment,

01:05:12.650 --> 01:05:14.513 align:middle line:84%
for example,
deforestation, et cetera.

01:05:14.513 --> 01:05:15.180 align:middle line:90%
PROFESSOR: Yeah.

01:05:15.180 --> 01:05:21.940 align:middle line:84%
So when I did my
preparation for this talk,

01:05:21.940 --> 01:05:24.643 align:middle line:84%
I read a whole bunch of papers
that have analyzed these things.

01:05:24.643 --> 01:05:26.060 align:middle line:84%
And the things
that I talked about

01:05:26.060 --> 01:05:30.020 align:middle line:84%
are the things that the
academics have investigated.

01:05:30.020 --> 01:05:35.660 align:middle line:84%
There are also-- and I mentioned
these minor issues like noise,

01:05:35.660 --> 01:05:38.540 align:middle line:84%
and killing birds, and
ecosystem repurposing,

01:05:38.540 --> 01:05:40.620 align:middle line:90%
and land use changes.

01:05:40.620 --> 01:05:43.740 align:middle line:84%
And there are people who
have tried to calculate

01:05:43.740 --> 01:05:46.400 align:middle line:90%
the externalities for that.

01:05:46.400 --> 01:05:48.160 align:middle line:84%
So the way I think
about these things,

01:05:48.160 --> 01:05:50.620 align:middle line:90%
and they're not limitations.

01:05:50.620 --> 01:05:52.600 align:middle line:84%
They're not technical
feasibility limitations,

01:05:52.600 --> 01:05:54.500 align:middle line:84%
so I didn't put
them in this talk.

01:05:54.500 --> 01:05:59.140 align:middle line:84%
But there are things that might
raise the effective social cost

01:05:59.140 --> 01:06:00.820 align:middle line:90%
of wind and solar.

01:06:00.820 --> 01:06:05.020 align:middle line:84%
And so when we get to our
talk on externalities,

01:06:05.020 --> 01:06:07.820 align:middle line:84%
where we're going to
talk about, the safety

01:06:07.820 --> 01:06:11.810 align:middle line:84%
externalities from
particulates, the safety

01:06:11.810 --> 01:06:13.810 align:middle line:84%
externalities from nuclear
accidents, the safety

01:06:13.810 --> 01:06:16.970 align:middle line:84%
externalities or the
social externalities

01:06:16.970 --> 01:06:21.650 align:middle line:84%
from noisy wind
farms, we will come up

01:06:21.650 --> 01:06:23.730 align:middle line:84%
with numbers for
all of these things

01:06:23.730 --> 01:06:27.010 align:middle line:84%
and see if things
change dramatically.

01:06:27.010 --> 01:06:29.650 align:middle line:90%
Yeah.

01:06:29.650 --> 01:06:30.730 align:middle line:90%
Yep?

01:06:30.730 --> 01:06:35.010 align:middle line:84%
AUDIENCE: Is 12 hours of storage
on a massive scale really

01:06:35.010 --> 01:06:37.130 align:middle line:84%
feasible, because
my understanding is

01:06:37.130 --> 01:06:41.810 align:middle line:84%
that it's quite hard to get big
batteries to hold a long charge

01:06:41.810 --> 01:06:44.610 align:middle line:84%
and discharge them
every day without--

01:06:44.610 --> 01:06:46.610 align:middle line:84%
my understanding is 12
hours storage is actually

01:06:46.610 --> 01:06:50.510 align:middle line:84%
a pretty difficult technological
line for us to get to.

01:06:50.510 --> 01:06:54.402 align:middle line:90%


01:06:54.402 --> 01:06:55.110 align:middle line:90%
PROFESSOR: Sorry.

01:06:55.110 --> 01:06:57.130 align:middle line:90%
Why would that be?

01:06:57.130 --> 01:07:00.070 align:middle line:84%
AUDIENCE: I mean, I don't know
too much electrochemistry,

01:07:00.070 --> 01:07:06.810 align:middle line:84%
but there are some trade-offs
in terms of how big you want

01:07:06.810 --> 01:07:09.370 align:middle line:84%
the battery to be, how quickly
you want it to discharge,

01:07:09.370 --> 01:07:12.720 align:middle line:84%
and how long you want
it to hold the charge.

01:07:12.720 --> 01:07:20.280 align:middle line:84%
So the longer duration
storage battery you want,

01:07:20.280 --> 01:07:22.260 align:middle line:84%
it would either
degrade very quickly,

01:07:22.260 --> 01:07:25.520 align:middle line:84%
if we want it to discharge at
0 to 100 every single night,

01:07:25.520 --> 01:07:28.933 align:middle line:84%
or it would be able to dispense
energy at a very small--

01:07:28.933 --> 01:07:30.600 align:middle line:84%
PROFESSOR: So first
of all, let me first

01:07:30.600 --> 01:07:32.320 align:middle line:84%
remind you that 12
hours of storage

01:07:32.320 --> 01:07:35.800 align:middle line:84%
is not how it will
actually happen.

01:07:35.800 --> 01:07:40.120 align:middle line:84%
This is a hypothetical
study that

01:07:40.120 --> 01:07:44.380 align:middle line:84%
is just to take Shaner's results
and do something with them

01:07:44.380 --> 01:07:45.600 align:middle line:90%
interesting.

01:07:45.600 --> 01:07:47.720 align:middle line:84%
You wouldn't build
all that storage.

01:07:47.720 --> 01:07:50.840 align:middle line:84%
You also wouldn't necessarily
build it out lithium ion, so

01:07:50.840 --> 01:07:54.320 align:middle line:90%
those things aside.

01:07:54.320 --> 01:07:56.760 align:middle line:84%
So yeah, so the thing
you're talking about

01:07:56.760 --> 01:07:59.920 align:middle line:84%
is basically a series
parallel problem.

01:07:59.920 --> 01:08:02.560 align:middle line:84%
How many cells you put in
series, how many cells you

01:08:02.560 --> 01:08:03.660 align:middle line:90%
put in parallel?

01:08:03.660 --> 01:08:06.160 align:middle line:84%
And if you want high
intensity discharge,

01:08:06.160 --> 01:08:08.160 align:middle line:84%
then you wind up with the
scenario where there's

01:08:08.160 --> 01:08:10.470 align:middle line:84%
a lot of internal
resistance, and you

01:08:10.470 --> 01:08:12.010 align:middle line:90%
have more self-discharge.

01:08:12.010 --> 01:08:14.550 align:middle line:84%
I still think 12
hours is not that

01:08:14.550 --> 01:08:19.149 align:middle line:84%
bad from a self-discharge
perspective.

01:08:19.149 --> 01:08:20.609 align:middle line:90%
That's my sense of the matter.

01:08:20.609 --> 01:08:23.430 align:middle line:84%
I think if you want to
store for weeks, yeah,

01:08:23.430 --> 01:08:25.750 align:middle line:90%
your self-discharge is an issue.

01:08:25.750 --> 01:08:31.609 align:middle line:84%
I mean, this does
12 hours of storage.

01:08:31.609 --> 01:08:38.550 align:middle line:84%
But I think this is a
niggle on a fake scenario.

01:08:38.550 --> 01:08:41.430 align:middle line:90%
So, I'm not worried about it.

01:08:41.430 --> 01:08:43.710 align:middle line:90%
Yeah.

01:08:43.710 --> 01:08:44.510 align:middle line:90%
All right.

01:08:44.510 --> 01:08:45.670 align:middle line:90%
Anything else?

01:08:45.670 --> 01:08:46.290 align:middle line:90%
All right.

01:08:46.290 --> 01:08:48.959 align:middle line:90%
I will see you Wednesday.

01:08:48.959 --> 01:09:08.000 align:middle line:90%