WEBVTT - Gridlock: US Struggles to Make Enough Transformers

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<v Speaker 1>This is Dana Perkins and you're listening to Switched on

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<v Speaker 1>the b and EF podcast. Earlier this year, we spoke

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<v Speaker 1>with my colleague sun Jeet and Meredith from BNEF about

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<v Speaker 1>one of the most overlooked areas of the energy sector,

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<v Speaker 1>that's grids, and during the conversations, Suenjeit briefly mentioned a

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<v Speaker 1>piece of equipment that is essential for the grid to function.

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<v Speaker 1>Those are transformers. Transformers come in all shapes and sizes,

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<v Speaker 1>as we're going to find out in today's episode, and

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<v Speaker 1>they serve a wide variety of purposes. However, large power

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<v Speaker 1>transformers are lpts for short, because after all, everyone loves

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<v Speaker 1>an acronym, are integral for regulating the supply of electricity

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<v Speaker 1>that runs through the grid. And with gigawatts of renewable

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<v Speaker 1>energy additions set to be added to the US energy makeup,

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<v Speaker 1>as well as even more units needing replacing at their

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<v Speaker 1>end of life, well we're just going to simply need

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<v Speaker 1>more transformers. To put this in perspective, under BNF's Economic

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<v Speaker 1>Transition scenario, which is part of our annual New Energy

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<v Speaker 1>Outlook exercise, we foresee the US day demand for large

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<v Speaker 1>power transformers to reach over thirteen hundred units by the

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<v Speaker 1>end of the decade. That's up by forty seven percent

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<v Speaker 1>when compared with twenty twenty two. So what can be

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<v Speaker 1>done to ensure the US grid has the required amount

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<v Speaker 1>of transformers to reliably function. To take a closer look

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<v Speaker 1>at transformers, on today's show, I get to speak with

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<v Speaker 1>a member of beanuf's modeling team, Ava Gonzalez Isla. Together,

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<v Speaker 1>we discuss the makeup of lpts and in particular the

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<v Speaker 1>very specific type of steel that is required for their manufacturing,

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<v Speaker 1>which is so important that the Department of Energy in

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<v Speaker 1>the US rates it as a near critical material. We

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<v Speaker 1>also discuss the lack of domestic production capacity in the

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<v Speaker 1>US to manufacture large power transformers and which countries are

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<v Speaker 1>making up the shortfall, And we go through the tariffs

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<v Speaker 1>that have hampered the domestic production capabilities in the US

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<v Speaker 1>and whether they have the ability to meet the demand

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<v Speaker 1>for transformers moving forward or will continue to rely on imports.

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<v Speaker 1>As always, if you like the show, if you subscribe,

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<v Speaker 1>you'll receive an update when future shows are published, and

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<v Speaker 1>if you give us a review then you'll make us

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<v Speaker 1>more discoverable by others. But right now, let's jump straight

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<v Speaker 1>into my conversation about transformers with Ava. Ava, thank you

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<v Speaker 1>very much for joining today.

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<v Speaker 2>We thank you for having me. I mean, been listening

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<v Speaker 2>to a lot of shows, so it's nice to be here.

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<v Speaker 3>Ava used to.

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<v Speaker 1>Help produce Switched On, so has picked many an episode

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<v Speaker 1>that people have listened to. But now we have you

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<v Speaker 1>here as a guest, and actually I want to start

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<v Speaker 1>today by talking a little bit about you specifically. But

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<v Speaker 1>let's talk actually first about the sort of work that

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<v Speaker 1>you do for BNOF because we have a lot of

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<v Speaker 1>different roles in people who write different types of research here.

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<v Speaker 1>But you have a very strong numerical background and that

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<v Speaker 1>you've done modeling for us, but then also write long

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<v Speaker 1>form research for us. Talk a little bit about yourself

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<v Speaker 1>and the expertise that you bring.

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<v Speaker 3>I joined the moderning tame on. What we usually do

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<v Speaker 3>is we build Excel tools.

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<v Speaker 2>And we publish them online so that clients can see

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<v Speaker 2>how we are calculating our net present values and a

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<v Speaker 2>lot of stuff. They can challenge our sanctions, they can

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<v Speaker 2>change the default values that we provide. So yeah, we

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<v Speaker 2>provide advances of very useful tools on the web, and

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<v Speaker 2>I've also built some models for other teams and then

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<v Speaker 2>written a long report on the back of that.

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<v Speaker 1>So how did it come about that we started focusing

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<v Speaker 1>on transformers in a serious way? How did this land

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<v Speaker 1>on your desk?

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<v Speaker 2>Clients have been asking people in the US for all

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<v Speaker 2>our forecasts of solar and if we were taken into

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<v Speaker 2>consideration transformer bottlenecks, and we didn't know the answer. So

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<v Speaker 2>they were like, we should probably answer this question, and

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<v Speaker 2>that's what I That's what I did.

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<v Speaker 1>So you've researched transformers and you know about transformers, because

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<v Speaker 1>let's rewind the clock in your life a little bit.

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<v Speaker 1>You actually have experience working in a transformer production facility,

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<v Speaker 1>which is not the typical thing from a being a

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<v Speaker 1>f analyst. So it's nice to bring the real into

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<v Speaker 1>the research. Tell us a little bit about what that

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<v Speaker 1>experience was like.

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<v Speaker 2>Sure, So I worked in the assembly line in a

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<v Speaker 2>facility in the middle of Spain close to Almagro, where

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<v Speaker 2>I'm from, for six weeks, just assembling very small transformers,

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<v Speaker 2>so these ones would go inside swimming pools or maybe

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<v Speaker 2>inside lifts. Yeah, most people that are listening don't know

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<v Speaker 2>about there's transformers everywhere on electronics and also on the

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<v Speaker 2>power system, as we'll say later.

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<v Speaker 3>So it was very nice to work in a factory.

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<v Speaker 1>So the transformers that we're here to talk about today

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<v Speaker 1>are very large transformers, yes, specifically used within the grid.

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<v Speaker 1>So tell us a little bit about the transformers we're

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<v Speaker 1>specifically going to talk about in the context of the US,

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<v Speaker 1>and we'll get to the supply constraints. What are the transformers,

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<v Speaker 1>what are they called, and actually, really importantly, why are

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<v Speaker 1>they such a critical part of clean energy rollout?

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<v Speaker 2>So transformers are pretty much everywhere on the grid because

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<v Speaker 2>the most efficient way to transport power is at high voltages.

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<v Speaker 2>So the transformer is just a pecific way that would

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<v Speaker 2>convert the power from low voltage too high so that

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<v Speaker 2>we can transport it during great distances with very low

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<v Speaker 2>power losses. So it's about system efficiency and low losses basically.

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<v Speaker 2>And you have different voltages in the line, so every

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<v Speaker 2>time you change voltage, you need a transformer. So yeah,

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<v Speaker 2>they are pretty much everywhere. In the report, I focus

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<v Speaker 2>off on the very large ones, as you said, so

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<v Speaker 2>the ones that will go between a power plant and

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<v Speaker 2>the high voltage transmission line or at the substations that

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<v Speaker 2>would convert the voltage down to more manageable voltages for consumption.

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<v Speaker 1>Everything is made of something, certainly, that's why b and

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<v Speaker 1>EF covers commodities. It is the beginning of everything you

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<v Speaker 1>end up seeing in the transition, and this is no exception.

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<v Speaker 1>So what are some of the critical materials that are

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<v Speaker 1>required in order to create a transformer?

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<v Speaker 2>Yeah, that's a great question. So transformer is basically made

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<v Speaker 2>of commodities. The most important party is electrical still, which

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<v Speaker 2>is part of the core, and I guess you'll want

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<v Speaker 2>to dig into that later because it was listed at

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<v Speaker 2>one of the nearer critical materials by the US Department

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<v Speaker 2>of Energy in July. But it also has a lot

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<v Speaker 2>of copper and steel and insulation materials. So yeah, the

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<v Speaker 2>price of the transformer is massively influenced by the price

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<v Speaker 2>of these commodities, obviously.

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<v Speaker 1>So let's have a bit of a vocabulary lesson then here,

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<v Speaker 1>because within steel, there are three different types that go

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<v Speaker 1>into this transformer. Yeah, so this is the goes or

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<v Speaker 1>as it goes.

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<v Speaker 3>Yeah, Yeah, I call it goes.

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<v Speaker 1>The nose and the amorphous steel.

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<v Speaker 3>And the amorphous stel.

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<v Speaker 2>Yeah.

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<v Speaker 1>But I think it would be really well helpful for

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<v Speaker 1>me and hopefully for our listeners. To better understand what

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<v Speaker 1>these three different types of steel that make up the

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<v Speaker 1>overall steel requirements for transformers. So let's start with the

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<v Speaker 1>goes the goes what is a stand for? And yeah,

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<v Speaker 1>where does it come from? And let's go into that.

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<v Speaker 2>Yeah, so goes On knows they're both flat rolled product,

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<v Speaker 2>which means they're produced us seeing like hot and cold

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<v Speaker 2>processes that make it a role like aluminium foil, but

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<v Speaker 2>obviously not aluminium foil, because this is something different is

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<v Speaker 2>still and it has a small percentage of silicon. And

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<v Speaker 2>then with the ghost, there's an additional process called a

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<v Speaker 2>kneeling to orient the particles so that the magnetic field

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<v Speaker 2>inside the transformer can be can be better transmitted. Basically,

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<v Speaker 2>so the ghost and from grain oriented electrical steel, and

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<v Speaker 2>it refers to these particles that are oriented and that

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<v Speaker 2>can transport the magnetic field so that the transformer works better.

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<v Speaker 2>In the nose, it is non oriented electrical steel, so

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<v Speaker 2>the particles are not oriented obviously, and they don't work

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<v Speaker 2>as good in the transformers because the losses are like

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<v Speaker 2>three to five times bigger because of this lack of

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<v Speaker 2>particle orientation. So yeah, all the ghosts demand is basically transformers,

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<v Speaker 2>and because the large ones, there's such a big part

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<v Speaker 2>of it, that is the core that like, yeah, large

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<v Speaker 2>power transformers basically make the demand for ghosts. Nose is

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<v Speaker 2>also is used in all types of motors, electric motors

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<v Speaker 2>and moving parts, so there's a big demand rising due

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<v Speaker 2>to IVY uptake in general, but it's also used in

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<v Speaker 2>power generators and yeah, any moving motor basically.

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<v Speaker 1>And then there's a MorphOS steel. And I know what

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<v Speaker 1>the word of morphus means, but what is in a

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<v Speaker 1>MorphOS steel?

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<v Speaker 2>So amorphos steel is a very niche, niche material actually,

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<v Speaker 2>but it has some properties that can be used in

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<v Speaker 2>very small transformers. And in fact, the US is thinking

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<v Speaker 2>about a standard that would instead of using goos or

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<v Speaker 2>high permeability goes for some of the transformers, they want

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<v Speaker 2>to use amorpho steel because it's slightly more efficient than

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<v Speaker 2>the ghost. But that of course means that then the

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<v Speaker 2>transformer designs have to change. We think that in the

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<v Speaker 2>US there's like twelve million metric tons produced per year

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<v Speaker 2>of gooss. Well there's like forty five thousand produce of

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<v Speaker 2>amorphous steel. So obviously, well, if you want a lot

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<v Speaker 2>of transformers to use these materials, there's a big need

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<v Speaker 2>for scale.

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<v Speaker 1>Also, let's talk about among these, which one is in

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<v Speaker 1>or do we think will be in the future. In

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<v Speaker 1>the scarces supply where we're seeing a real gap in

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<v Speaker 1>terms of ramping up supply for this increased demand. Is

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<v Speaker 1>it goes, the nose, Morphy steel are all of the above.

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<v Speaker 2>The reason why we talk about nose is because the process,

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<v Speaker 2>the fabrication process is super similar with ghosts, so you

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<v Speaker 2>could upgrade a nose factory into goes and make it

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<v Speaker 2>useable in transformers. You cannot use noses in transformers as

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<v Speaker 2>it is because it has bigger losses and nobody wants

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<v Speaker 2>bigger losses in the power system. That's why we have

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<v Speaker 2>transformers in the first place. So the good thing about

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<v Speaker 2>goes is that in the flatterol product you can then

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<v Speaker 2>stack them and produce.

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<v Speaker 3>Huge transformers with that.

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<v Speaker 2>While I'm morpho, still you cannot stack it, so that's

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<v Speaker 2>why you're using it for a very small transformer. There's

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<v Speaker 2>different classes of goals as well, and we want the

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<v Speaker 2>super high quality, high permeability ones because that's the one

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<v Speaker 2>that is going to have lower losses, and there's been

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<v Speaker 2>a high supply issue of goals in the US for

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<v Speaker 2>a very long time because they only produce yeah, two

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<v Speaker 2>million tons a year or something like that. So there

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<v Speaker 2>used to be two domestic players of goals in the US,

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<v Speaker 2>and then the US decided to set up a new

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<v Speaker 2>standard so that the goals would be of higher permeability,

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<v Speaker 2>and that led to the closing of one facility and

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<v Speaker 2>then more imports of this high quality material instead of

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<v Speaker 2>producing domestically. To be fair, producing it is very expensive

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<v Speaker 2>and very hard, and there's a very high failure rate

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<v Speaker 2>and low yielding. So it's an expertise that not many

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<v Speaker 2>companies have. But there's very little domestic capacity in the US.

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<v Speaker 1>So I would love to know where in the world

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<v Speaker 1>transformers are manufactured and really where they're coming from. Is

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<v Speaker 1>this increasingly a domestic market in the US, or is

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<v Speaker 1>it offshore or near shore?

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<v Speaker 2>Well, we do think that domestic manufacturers in the US

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<v Speaker 2>are increasing their capacity slowly because there's in a surge

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<v Speaker 2>in domestic demand, so they're coming more and more from

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<v Speaker 2>the US, But historically they've run at fourty percent capacity,

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<v Speaker 2>and the import penetration rate for these particular transformers round it,

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<v Speaker 2>so mostly from abroad.

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<v Speaker 3>Today, the biggest exporters.

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<v Speaker 2>To the US are Mexico and Canada, and that's because

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<v Speaker 2>labor can be cheaper. There's been less uncertainties about policies,

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<v Speaker 2>trade restrictions, and import standards. There's been, honestly, so much

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<v Speaker 2>going on since twenty ten to today that manufacturers felt

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<v Speaker 2>that they had more of an incertentive to invest in

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<v Speaker 2>Mexico and to invest domestically.

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<v Speaker 1>And then historically they haven't come from any of these places.

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<v Speaker 1>They had been imported from quite far away. What has

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<v Speaker 1>historically been the transformer market. And really when did we

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<v Speaker 1>see it change to being a North American market servicing

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<v Speaker 1>North America versus imported on.

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<v Speaker 3>A ship from far away.

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<v Speaker 2>Sure, so there was a big part of large power

0:11:48.960 --> 0:11:52.240
<v Speaker 2>transformers that were imported from South Korea, and the US

0:11:52.400 --> 0:11:56.839
<v Speaker 2>started some investigations on these, which led to at least

0:11:56.920 --> 0:12:02.160
<v Speaker 2>humanae power transformers may building up in the States, And

0:12:02.520 --> 0:12:06.600
<v Speaker 2>right after they approved the anti dumping order, humandised production

0:12:07.000 --> 0:12:11.600
<v Speaker 2>just substituted the South Korean imports with their local production.

0:12:12.000 --> 0:12:14.960
<v Speaker 2>So in that sense, I guess that order worked, but

0:12:15.040 --> 0:12:18.080
<v Speaker 2>that doesn't mean that it made it easier for local players, because,

0:12:18.120 --> 0:12:21.000
<v Speaker 2>as I said, capacity was still forty percent, and imports

0:12:21.040 --> 0:12:24.400
<v Speaker 2>were still very high. And Yeah, in fact, some plants

0:12:24.400 --> 0:12:28.560
<v Speaker 2>closed in twenty seventeen so well after this anti dumping order.

0:12:28.800 --> 0:12:32.160
<v Speaker 2>So it's just been a tough place and with many

0:12:32.280 --> 0:12:33.880
<v Speaker 2>changes year after year.

0:12:34.240 --> 0:12:38.400
<v Speaker 1>So historically transformers were coming from South Korea to the

0:12:38.520 --> 0:12:41.360
<v Speaker 1>United States to meet the existing demand, which we do

0:12:41.400 --> 0:12:43.280
<v Speaker 1>see and will come to this which we do see

0:12:43.320 --> 0:12:46.400
<v Speaker 1>increasing in the future. Yeah, and we're seeing some changes

0:12:46.800 --> 0:12:49.520
<v Speaker 1>in the last few years, not just in this industry,

0:12:49.640 --> 0:12:53.000
<v Speaker 1>but in other parts of the energy value chain of

0:12:53.080 --> 0:12:56.720
<v Speaker 1>production facilities moving nearer or near shoring. So in this

0:12:56.800 --> 0:13:01.560
<v Speaker 1>circumstance Mexico or also Canada, with that production moving nearby,

0:13:02.120 --> 0:13:06.240
<v Speaker 1>what has that done? Has that increased decreased not only

0:13:06.600 --> 0:13:10.960
<v Speaker 1>costs but also the availability of supply because you mentioned

0:13:11.240 --> 0:13:13.760
<v Speaker 1>that this is actually a really tough business to be in,

0:13:14.040 --> 0:13:16.640
<v Speaker 1>that there's a lot of waste, it's highly technical, and

0:13:16.679 --> 0:13:20.480
<v Speaker 1>that there are some concerns around long term demand. Has

0:13:20.520 --> 0:13:23.480
<v Speaker 1>it made it more expensive and has it made it

0:13:23.520 --> 0:13:28.280
<v Speaker 1>more difficult to attain the transformers with the supply chains

0:13:28.320 --> 0:13:31.000
<v Speaker 1>having moved a little closer to Mexico and Canada, has

0:13:31.000 --> 0:13:32.720
<v Speaker 1>that been good or bad for the US?

0:13:33.080 --> 0:13:36.320
<v Speaker 2>Well? Since Mexico and US are trade freely. For the US,

0:13:36.600 --> 0:13:40.960
<v Speaker 2>importing should then be a national security risk or anything

0:13:41.000 --> 0:13:41.320
<v Speaker 2>like that.

0:13:41.480 --> 0:13:45.120
<v Speaker 3>However, for the ghost part of it, which is.

0:13:45.080 --> 0:13:46.880
<v Speaker 2>You know, fifty percent of the cost, a lot of

0:13:46.880 --> 0:13:50.359
<v Speaker 2>the weight, Mexico and Canada do not have domestic production facilities,

0:13:50.400 --> 0:13:54.400
<v Speaker 2>which means they're importing all these metal from other places.

0:13:54.520 --> 0:13:57.640
<v Speaker 2>And forty six percent of the tones that Mexico imported

0:13:57.679 --> 0:14:01.000
<v Speaker 2>in twenty twenty two so last year were from China,

0:14:01.280 --> 0:14:04.360
<v Speaker 2>and nine percent of the tones that Knada imported of

0:14:04.400 --> 0:14:06.839
<v Speaker 2>goes last year were also from China. So this is

0:14:06.880 --> 0:14:09.800
<v Speaker 2>obviously not ideal for the US. If they are really

0:14:09.840 --> 0:14:14.040
<v Speaker 2>concerned about supply issues with China, the priority should be

0:14:14.080 --> 0:14:16.320
<v Speaker 2>to ensure there's domestic capacity.

0:14:16.640 --> 0:14:19.120
<v Speaker 1>Can you also talk a little bit about the import

0:14:19.160 --> 0:14:22.560
<v Speaker 1>tarraff that was brought into place during the Trump administration,

0:14:22.640 --> 0:14:24.120
<v Speaker 1>specifically with four steel.

0:14:24.400 --> 0:14:27.720
<v Speaker 2>Yeah, Section two to two of the US Trade Expansion Act.

0:14:27.920 --> 0:14:30.480
<v Speaker 2>It's a tariff of twenty five percent on steel that

0:14:30.680 --> 0:14:33.680
<v Speaker 2>was applied during the Trump administration, and that applied to

0:14:33.720 --> 0:14:36.480
<v Speaker 2>a lot of products still and of course because ghost.

0:14:36.280 --> 0:14:38.120
<v Speaker 3>Is a part of STEL, it also applied to ghosts.

0:14:38.240 --> 0:14:42.440
<v Speaker 2>There's a small loophole in this supply chain because what

0:14:42.600 --> 0:14:45.920
<v Speaker 2>goes into transformers is basically goes but just cut with

0:14:46.480 --> 0:14:50.040
<v Speaker 2>some laser machines. So it's very specific. But is the

0:14:50.160 --> 0:14:52.240
<v Speaker 2>raw material. It's the same, nothing is done to it,

0:14:52.400 --> 0:14:55.560
<v Speaker 2>just cut. So when these startiffs came in place, we

0:14:55.680 --> 0:14:58.960
<v Speaker 2>saw a drop in importance of gosts of the raw

0:14:59.000 --> 0:15:03.160
<v Speaker 2>material in a flatterol shape and an increase of just

0:15:03.240 --> 0:15:06.240
<v Speaker 2>the raw material cut because it was on there. Another

0:15:06.760 --> 0:15:11.600
<v Speaker 2>hts growth for imports so they wouldn't suffer the twenty

0:15:11.640 --> 0:15:16.440
<v Speaker 2>five percent tariffs and steel. So that puts some gutters

0:15:16.480 --> 0:15:19.320
<v Speaker 2>in the US out of business or they force them

0:15:19.360 --> 0:15:22.160
<v Speaker 2>to move to Mexico or Canada because goos is like

0:15:22.240 --> 0:15:25.440
<v Speaker 2>sixty percent of the price of the lamination that goes

0:15:25.440 --> 0:15:27.600
<v Speaker 2>into a transformer, and if you apply a twenty five

0:15:27.600 --> 0:15:30.520
<v Speaker 2>percent of that, you're just hurting the local businesses.

0:15:32.480 --> 0:15:34.960
<v Speaker 1>Let's talk a little bit about the future demand for

0:15:35.040 --> 0:15:39.080
<v Speaker 1>these very large transformers that are used for the grid. Yeah,

0:15:39.120 --> 0:15:41.240
<v Speaker 1>and before we actually go into some of what our

0:15:41.280 --> 0:15:43.360
<v Speaker 1>models are telling us we think the demand could be

0:15:43.400 --> 0:15:45.480
<v Speaker 1>in the future, can we talk a little bit about

0:15:45.520 --> 0:15:48.280
<v Speaker 1>the different things we think are impacting demand. What are

0:15:48.280 --> 0:15:50.760
<v Speaker 1>the different variables that you've had to look at to

0:15:50.840 --> 0:15:55.560
<v Speaker 1>try and essentially quantify what that growth will look like.

0:15:56.080 --> 0:15:59.040
<v Speaker 2>As I said earlier in the episode Transformers, I put

0:15:59.120 --> 0:16:02.280
<v Speaker 2>next two generations places so that you can increase the voltage,

0:16:02.560 --> 0:16:04.760
<v Speaker 2>next to demand places so that you can lower it down.

0:16:05.040 --> 0:16:09.520
<v Speaker 2>New generation projects such as renewable projects, which you know

0:16:09.560 --> 0:16:12.040
<v Speaker 2>are part of net zero targets, and all these things

0:16:12.160 --> 0:16:14.960
<v Speaker 2>are going to be a surge in transformer demand. They

0:16:15.000 --> 0:16:17.160
<v Speaker 2>all have to have them, yeah, exactly, the need they

0:16:17.240 --> 0:16:20.000
<v Speaker 2>need a transformer, all of them. And then the US

0:16:20.000 --> 0:16:22.920
<v Speaker 2>greed is starting to get at old. So according to

0:16:22.920 --> 0:16:25.080
<v Speaker 2>the US Department of Energy, the average say, is of

0:16:25.120 --> 0:16:28.320
<v Speaker 2>a transformer is already around forty years, which is the

0:16:28.400 --> 0:16:32.280
<v Speaker 2>recommended replacement AIDS according to many manufacturers. So that means

0:16:32.280 --> 0:16:34.160
<v Speaker 2>they have a lot of transformers on the grid already

0:16:34.200 --> 0:16:36.280
<v Speaker 2>that are getting old and they have to replace them

0:16:36.320 --> 0:16:40.000
<v Speaker 2>because if they fail and they cannot transport the grid,

0:16:40.120 --> 0:16:42.680
<v Speaker 2>that's going to be critical for you know, the affected

0:16:42.720 --> 0:16:45.840
<v Speaker 2>areas for either the power that is generating or the

0:16:45.920 --> 0:16:49.080
<v Speaker 2>demand that is connected to that particular transformer and then

0:16:49.160 --> 0:16:53.600
<v Speaker 2>system reinformer. So the bigger grid gets, the more interconnected

0:16:53.680 --> 0:16:55.680
<v Speaker 2>you need it to be. So we made some assumptions

0:16:55.720 --> 0:16:57.960
<v Speaker 2>on okay, if we have to raise the demand, the

0:16:58.200 --> 0:17:00.320
<v Speaker 2>generation plans by these match and the demands in terms

0:17:00.320 --> 0:17:03.480
<v Speaker 2>about these moths, how many reinforcements we need to make,

0:17:03.920 --> 0:17:06.119
<v Speaker 2>and how many of them will contain transformers.

0:17:06.440 --> 0:17:10.720
<v Speaker 1>So there's this convergence between wanting to create security of supply,

0:17:11.119 --> 0:17:14.919
<v Speaker 1>continuing to keep the existing infrastructure up to date so

0:17:14.960 --> 0:17:18.360
<v Speaker 1>that it works properly. And what we see is increased

0:17:18.400 --> 0:17:21.679
<v Speaker 1>demand for new projects coming online. So what does that

0:17:21.800 --> 0:17:24.840
<v Speaker 1>mean then for the future demand of transformers and where

0:17:24.840 --> 0:17:25.680
<v Speaker 1>do we see it going.

0:17:26.119 --> 0:17:29.960
<v Speaker 2>So most of the demands, according to our calculations, are

0:17:30.000 --> 0:17:35.200
<v Speaker 2>from replacements of an aging assets and system reinforcements. There's

0:17:35.200 --> 0:17:38.080
<v Speaker 2>a big part, well you know this better than me.

0:17:38.280 --> 0:17:41.159
<v Speaker 2>NA has these two scenarios, the economic transition scenario and

0:17:41.200 --> 0:17:44.280
<v Speaker 2>the net zero scenario, So we basically calculated the demand

0:17:44.400 --> 0:17:48.080
<v Speaker 2>under both and an economic transition scenario, most of the

0:17:48.119 --> 0:17:51.680
<v Speaker 2>demand for transformers comes from replacements and system reinformers. In

0:17:51.760 --> 0:17:54.560
<v Speaker 2>the net serio scenario, the proportion is slightly higher for

0:17:54.680 --> 0:17:57.359
<v Speaker 2>new connected projects, which would make sense because we need

0:17:57.400 --> 0:17:59.840
<v Speaker 2>a lot of renewals to get to net zero fast.

0:18:00.440 --> 0:18:04.080
<v Speaker 1>Really, simply put there isn't enough supply to reach future demand.

0:18:04.880 --> 0:18:06.919
<v Speaker 1>So one would think then if you believe that there

0:18:06.960 --> 0:18:10.480
<v Speaker 1>is the invisible hand of capitalism, the companies would want

0:18:10.480 --> 0:18:12.680
<v Speaker 1>to go into the space and this would then be profitable.

0:18:12.760 --> 0:18:16.399
<v Speaker 1>Why are there not companies jumping at the opportunity. Surely

0:18:16.440 --> 0:18:18.480
<v Speaker 1>there is some growth, but why do we think there

0:18:18.520 --> 0:18:22.880
<v Speaker 1>isn't enough growth in the transformer production space to meet

0:18:22.920 --> 0:18:23.560
<v Speaker 1>future demand.

0:18:24.400 --> 0:18:27.119
<v Speaker 2>Yeah, that's a really good question and one I've asked

0:18:27.119 --> 0:18:32.399
<v Speaker 2>myself when I was doing this research. Making a transformer

0:18:32.520 --> 0:18:34.840
<v Speaker 2>takes a very long time. It takes from five to

0:18:34.880 --> 0:18:37.480
<v Speaker 2>twelve months if you don't have any waiting time or

0:18:37.480 --> 0:18:40.479
<v Speaker 2>an equus or anything. What we are seeing now is

0:18:40.520 --> 0:18:43.080
<v Speaker 2>that the waiting time that their manufacturers are giving is

0:18:43.119 --> 0:18:46.800
<v Speaker 2>around from two to four years, sometimes five years. Obviously,

0:18:46.840 --> 0:18:49.719
<v Speaker 2>project developers are seeing this and they are getting their

0:18:49.800 --> 0:18:51.879
<v Speaker 2>orders in advance to make sure, you know, they can

0:18:52.000 --> 0:18:54.000
<v Speaker 2>connect their solar firm or their wind.

0:18:53.800 --> 0:18:55.240
<v Speaker 3>Firem on time and these things.

0:18:55.359 --> 0:18:58.679
<v Speaker 2>Obviously, when transformer makers get some orders for like in

0:18:58.760 --> 0:19:02.439
<v Speaker 2>five years time, are skeptical of like is the demand

0:19:02.520 --> 0:19:05.239
<v Speaker 2>really rising or is it not?

0:19:06.080 --> 0:19:08.440
<v Speaker 1>Are they just trying to secure what they need because

0:19:08.440 --> 0:19:12.240
<v Speaker 1>their backlogs in the existing system, so they're having difficulty

0:19:12.400 --> 0:19:13.800
<v Speaker 1>also looking at future demand.

0:19:14.000 --> 0:19:14.880
<v Speaker 3>Yeah, exactly.

0:19:15.400 --> 0:19:20.160
<v Speaker 2>They are extremely cautious, and they see that they have

0:19:20.400 --> 0:19:23.240
<v Speaker 2>a big back logo for others, and they are willing

0:19:23.480 --> 0:19:26.760
<v Speaker 2>to increase their capacity from the historical forty percent to

0:19:26.840 --> 0:19:31.240
<v Speaker 2>maybe one hundred slowly. They are keen to release their bottleleggs,

0:19:31.680 --> 0:19:34.480
<v Speaker 2>but they not all of them, are keen to build

0:19:34.480 --> 0:19:38.240
<v Speaker 2>a new transformer manufacturing plant and to just romp up

0:19:38.359 --> 0:19:40.000
<v Speaker 2>production on a larger scale.

0:19:40.080 --> 0:19:42.439
<v Speaker 1>Because this is the review that once we replace the

0:19:42.480 --> 0:19:45.800
<v Speaker 1>existing infrastructure, which is a known quantity, and then add

0:19:45.840 --> 0:19:49.960
<v Speaker 1>the additional supply that is forecasted, then it will sort

0:19:50.000 --> 0:19:52.480
<v Speaker 1>of die down and essentially there won't be as much

0:19:52.520 --> 0:19:55.399
<v Speaker 1>demand until the next group of transformers gets to the

0:19:55.520 --> 0:19:58.600
<v Speaker 1>end of their useful life, and that could be forty

0:19:58.640 --> 0:20:01.240
<v Speaker 1>years from now. So is the review that this could

0:20:01.240 --> 0:20:04.560
<v Speaker 1>be a short term spike in demand, and therefore, if

0:20:04.560 --> 0:20:06.840
<v Speaker 1>you're in this business, it may not be worth.

0:20:06.680 --> 0:20:10.560
<v Speaker 2>It if you're asks develop suppliers, transformer suppliers.

0:20:10.600 --> 0:20:12.399
<v Speaker 3>That's what they will tell you, because.

0:20:12.160 --> 0:20:16.879
<v Speaker 2>I've asked them, I've talked to some of them, Yeah,

0:20:16.920 --> 0:20:20.920
<v Speaker 2>and they are really skeptical. They I've told you about

0:20:20.920 --> 0:20:23.399
<v Speaker 2>how tough business was. I've told you they were running

0:20:23.400 --> 0:20:25.760
<v Speaker 2>a forty percent capacity. They don't want to make a

0:20:25.840 --> 0:20:29.000
<v Speaker 2>huge investment for nothing, which I think is fair enough.

0:20:29.040 --> 0:20:30.760
<v Speaker 2>If I were them, I would also want to be

0:20:30.880 --> 0:20:34.360
<v Speaker 2>super sure that if I'm building a new factory, it's

0:20:34.400 --> 0:20:34.720
<v Speaker 2>going to.

0:20:34.680 --> 0:20:37.040
<v Speaker 1>Be called presumably quite expensive.

0:20:36.680 --> 0:20:39.320
<v Speaker 2>Exactly it's going to be utilized for more than a

0:20:39.320 --> 0:20:42.359
<v Speaker 2>couple of years. There's a couple of transformer manufacturers that

0:20:42.440 --> 0:20:45.800
<v Speaker 2>have decided to expand operations though, so some of them

0:20:45.840 --> 0:20:48.520
<v Speaker 2>are ready to invest, but most of them are proceeding

0:20:48.600 --> 0:20:52.560
<v Speaker 2>very cautiously ramping up their current capacity, sorting out some

0:20:52.600 --> 0:20:56.040
<v Speaker 2>of the bottlenecks, maybe bringing some automation because also these plans,

0:20:56.080 --> 0:20:58.879
<v Speaker 2>some of them are very old. We're building the nineteen fifties,

0:20:59.040 --> 0:21:02.560
<v Speaker 2>nineteen sixties, so they are king to ramp up, but

0:21:02.680 --> 0:21:06.480
<v Speaker 2>they don't necessarily see the need of building a new

0:21:06.720 --> 0:21:10.840
<v Speaker 2>plant until they are absolutely sure that the demand is happening.

0:21:10.960 --> 0:21:13.199
<v Speaker 1>I mean, this is really interesting because the grid and

0:21:13.440 --> 0:21:15.520
<v Speaker 1>different parts of the grid keep cropping up in the

0:21:15.520 --> 0:21:17.840
<v Speaker 1>shows that we end up having here at BNEF and

0:21:17.960 --> 0:21:20.640
<v Speaker 1>on Switched on, and we're going to be talking about

0:21:20.840 --> 0:21:23.840
<v Speaker 1>both Onshore and offshore wind in the US. And one

0:21:23.920 --> 0:21:27.280
<v Speaker 1>of the things that's happened with wind, particularly offshore, but

0:21:27.320 --> 0:21:30.520
<v Speaker 1>also on shore, there's the timelines to get these things

0:21:30.520 --> 0:21:33.960
<v Speaker 1>connected to the grid have gotten longer and longer and longer.

0:21:34.040 --> 0:21:37.760
<v Speaker 1>And you had mentioned that the delivery timelines for transformers

0:21:37.800 --> 0:21:41.919
<v Speaker 1>has also extended. Has that played into the timelines that

0:21:41.960 --> 0:21:45.800
<v Speaker 1>you're seeing for the developers and has the move from

0:21:46.080 --> 0:21:49.959
<v Speaker 1>a transformer taking historically eighteen months to arrive to your

0:21:50.000 --> 0:21:53.160
<v Speaker 1>project now taking four years. Has that been a part

0:21:53.160 --> 0:21:53.960
<v Speaker 1>of that bottleneck.

0:21:54.359 --> 0:21:57.000
<v Speaker 2>So what we've seen so far is that as long

0:21:57.040 --> 0:22:00.359
<v Speaker 2>as utilities placed them or they're in advance that areansformer

0:22:00.440 --> 0:22:02.800
<v Speaker 2>will be on time, and for now for years, it's

0:22:02.920 --> 0:22:06.520
<v Speaker 2>not a significant change on the project lifetime. If there

0:22:06.560 --> 0:22:09.680
<v Speaker 2>are improvements in how the US approaches what the US

0:22:09.720 --> 0:22:13.639
<v Speaker 2>and other markets actually approach their great connections and the

0:22:13.680 --> 0:22:17.080
<v Speaker 2>waiting times are shortened on that end, maybe transformers could

0:22:17.080 --> 0:22:20.359
<v Speaker 2>become a bottleneck, but as of today, not really.

0:22:20.760 --> 0:22:23.880
<v Speaker 1>So we've established that some of these companies are domestically

0:22:23.880 --> 0:22:27.280
<v Speaker 1>in the US or in nearby countries Canada and Mexico,

0:22:27.440 --> 0:22:29.760
<v Speaker 1>who are the biggest players in the transformer market.

0:22:30.280 --> 0:22:34.520
<v Speaker 2>You want know many of them because these companies, yeah,

0:22:34.600 --> 0:22:37.720
<v Speaker 2>they're either they're all private companies, either part of a

0:22:37.840 --> 0:22:41.600
<v Speaker 2>large conglomerate, or they've just been doing this thing for

0:22:41.680 --> 0:22:44.600
<v Speaker 2>a very long time. The biggest players are they'llta start,

0:22:44.720 --> 0:22:48.880
<v Speaker 2>Hitachi Energy, these ones you might know, Hiko Hendi Power Transformers,

0:22:48.880 --> 0:22:53.760
<v Speaker 2>and then we have Niagara Power Transformers, Pennsylvania Transformers, Project Ge,

0:22:54.080 --> 0:22:56.840
<v Speaker 2>Virginia Transformers, and Wig Transformers.

0:22:56.920 --> 0:22:59.960
<v Speaker 1>So as you get down that list, they sound quite rich.

0:23:00.440 --> 0:23:04.480
<v Speaker 1>So some of these are not huge companies owned by multinationals.

0:23:04.640 --> 0:23:09.240
<v Speaker 1>They're servicing a specific market and the US is probably

0:23:09.280 --> 0:23:11.560
<v Speaker 1>a good part of their demand and that's where they're

0:23:11.560 --> 0:23:11.960
<v Speaker 1>selling to.

0:23:12.520 --> 0:23:16.120
<v Speaker 3>Yeah, so Pennsylvania Transformers for example, or yeah, and Virginia.

0:23:16.160 --> 0:23:18.320
<v Speaker 2>I think Virginia has a plant in India as well,

0:23:18.400 --> 0:23:21.399
<v Speaker 2>and a couple of plants in Mexico. But yeah, Virginia

0:23:21.440 --> 0:23:24.800
<v Speaker 2>and Pennsylvania, and I think one more. They're family owned.

0:23:24.960 --> 0:23:28.639
<v Speaker 2>Kitasi Energy is owned by Hitashi, and Hyumdai Power Transformers

0:23:28.640 --> 0:23:31.439
<v Speaker 2>I think is owned by Hyundai Industry. Other companies that

0:23:31.480 --> 0:23:35.040
<v Speaker 2>in my list are family owned or owned by their employers,

0:23:35.160 --> 0:23:37.119
<v Speaker 2>so they're not all of them are part of alert

0:23:37.359 --> 0:23:38.600
<v Speaker 2>international conglomerate.

0:23:38.680 --> 0:23:40.960
<v Speaker 3>Basically, some of them are quite local.

0:23:40.960 --> 0:23:43.400
<v Speaker 1>Which then you can also see why they're approaching risk

0:23:43.600 --> 0:23:47.360
<v Speaker 1>differently because the capital that they have available to them

0:23:47.640 --> 0:23:49.680
<v Speaker 1>is different. They have to borrow in a different way.

0:23:50.080 --> 0:23:53.159
<v Speaker 1>So when it comes to policy, if I'm a policy maker,

0:23:53.320 --> 0:23:55.480
<v Speaker 1>I am sitting here thinking, ah, that we must, we

0:23:55.760 --> 0:23:58.359
<v Speaker 1>need to address this. So if companies are not incentivized

0:23:58.400 --> 0:24:02.160
<v Speaker 1>by the economic condition to increase supply, have there been

0:24:02.320 --> 0:24:06.920
<v Speaker 1>policy interventions in order to try and put more transformers

0:24:06.960 --> 0:24:09.639
<v Speaker 1>out there for some of the projects that many of

0:24:09.680 --> 0:24:12.800
<v Speaker 1>them have been spurred on by the policies available in

0:24:12.880 --> 0:24:14.280
<v Speaker 1>Inflation Reduction Act.

0:24:14.440 --> 0:24:16.680
<v Speaker 2>Yeah, So you might think, I mean we talked earlier

0:24:16.720 --> 0:24:19.199
<v Speaker 2>about the invisible hand, and you might think that the

0:24:19.280 --> 0:24:21.879
<v Speaker 2>IRA is there to help the US supply saints. And

0:24:21.920 --> 0:24:24.480
<v Speaker 2>the answer is yes, the IRA is there to help

0:24:24.520 --> 0:24:28.440
<v Speaker 2>the US supply saints. However, the money is more localized

0:24:28.480 --> 0:24:32.159
<v Speaker 2>on very upstream sectors that are usually imported from China,

0:24:32.640 --> 0:24:36.200
<v Speaker 2>So there's not really that much money available for greed

0:24:36.400 --> 0:24:39.800
<v Speaker 2>on transformers from the IRA. And well, you might think

0:24:39.920 --> 0:24:42.720
<v Speaker 2>the IRA is going to increase the solar generation, is

0:24:42.760 --> 0:24:45.400
<v Speaker 2>going to increase the EVS, that's going to raise the demand,

0:24:45.400 --> 0:24:48.480
<v Speaker 2>and then the visible hand, local manufacturers will just raise

0:24:48.520 --> 0:24:51.680
<v Speaker 2>their capacity, but we said they are so risk.

0:24:51.480 --> 0:24:54.360
<v Speaker 1>Covers, it may not happen, yeah, or it.

0:24:54.400 --> 0:24:57.320
<v Speaker 2>Might happen but later, which means that, yeah, if the

0:24:57.400 --> 0:25:01.399
<v Speaker 2>US doesn't raise their capacity, imports have made eighty percent

0:25:01.440 --> 0:25:04.240
<v Speaker 2>of the demand, So you know imports will have to

0:25:04.320 --> 0:25:06.720
<v Speaker 2>keep up because demand is rising according to our.

0:25:06.680 --> 0:25:09.960
<v Speaker 1>Outlook, So there either needs to be something that stimulates

0:25:09.960 --> 0:25:14.040
<v Speaker 1>imports or leads to more domestic supply or needless to say,

0:25:14.080 --> 0:25:16.400
<v Speaker 1>there will be long delays and we may not see

0:25:16.400 --> 0:25:22.360
<v Speaker 1>the degree of retrofitting or replacing existing infrastructure. Now that's

0:25:22.400 --> 0:25:25.200
<v Speaker 1>actually something that is not a brand new story. I

0:25:25.240 --> 0:25:29.360
<v Speaker 1>think about the timelines for actually very well monitored facilities

0:25:29.440 --> 0:25:33.159
<v Speaker 1>like nuclear facilities getting pushed out with the right certifications,

0:25:33.359 --> 0:25:35.679
<v Speaker 1>or dams in the US, or even bridges, and you

0:25:35.760 --> 0:25:38.520
<v Speaker 1>do have this aging infrastructure that has been pushed back

0:25:38.560 --> 0:25:42.200
<v Speaker 1>it's originally expected date. Do you anticipate that that will

0:25:42.200 --> 0:25:46.000
<v Speaker 1>happen with transformers and that they will essentially get more

0:25:46.040 --> 0:25:49.879
<v Speaker 1>time because the kit isn't going to necessarily be available

0:25:50.040 --> 0:25:50.520
<v Speaker 1>right away.

0:25:50.880 --> 0:25:56.160
<v Speaker 2>So we do know that utilities are refurbishing some transformers

0:25:56.200 --> 0:25:58.200
<v Speaker 2>to make sure you know they have a transformer on

0:25:58.280 --> 0:26:01.159
<v Speaker 2>time for a particularly you could also, I mean this

0:26:01.240 --> 0:26:02.479
<v Speaker 2>is bad for power losses.

0:26:02.480 --> 0:26:03.560
<v Speaker 3>You could also use.

0:26:03.640 --> 0:26:09.160
<v Speaker 2>Two smaller transformers that take less time to manufacture instead

0:26:09.160 --> 0:26:11.840
<v Speaker 2>of one, but that would increase your losses. So if

0:26:11.880 --> 0:26:14.720
<v Speaker 2>you needed, if you absolutely needed that transformer, there's other

0:26:14.760 --> 0:26:16.240
<v Speaker 2>ways than getting in brand new.

0:26:16.840 --> 0:26:18.959
<v Speaker 1>So clearly I'm not in the market for one, but

0:26:19.280 --> 0:26:22.399
<v Speaker 1>I want to know how much does a transformer cost?

0:26:22.720 --> 0:26:26.960
<v Speaker 1>Not just in dollar terms, but I want to better

0:26:27.040 --> 0:26:30.240
<v Speaker 1>understand whether or not this is a significant cost to

0:26:30.600 --> 0:26:33.919
<v Speaker 1>the utilities themselves. And this is something that you know

0:26:34.040 --> 0:26:34.640
<v Speaker 1>their sweating.

0:26:34.960 --> 0:26:38.560
<v Speaker 2>So the large power transformers, they're very big. They weigh

0:26:38.640 --> 0:26:41.440
<v Speaker 2>one hundred metric tones. There's a lot of material in there.

0:26:41.520 --> 0:26:43.960
<v Speaker 2>If you look at the import data, the average price

0:26:44.080 --> 0:26:47.520
<v Speaker 2>of a large power transformer in twenty twenty two was

0:26:47.680 --> 0:26:49.040
<v Speaker 2>over a million dollars.

0:26:49.320 --> 0:26:51.600
<v Speaker 1>And how many would you? Would you have multiple on

0:26:51.640 --> 0:26:52.399
<v Speaker 1>the same location?

0:26:53.000 --> 0:26:56.159
<v Speaker 2>Usually not, so there isn't Also why they are so

0:26:56.240 --> 0:26:58.960
<v Speaker 2>expensive and so niche is that you would only use

0:26:59.000 --> 0:27:03.640
<v Speaker 2>the design it's design once, so they're not very standard.

0:27:03.680 --> 0:27:05.879
<v Speaker 2>Every time you place another. You have to design the

0:27:05.880 --> 0:27:09.040
<v Speaker 2>transformer then make it, and you'll never Yeah, it's very

0:27:09.119 --> 0:27:11.400
<v Speaker 2>rare that you would use the same design twice, so

0:27:12.080 --> 0:27:15.440
<v Speaker 2>if the US is important seven hundred transformers, they'll all

0:27:15.560 --> 0:27:16.160
<v Speaker 2>be different.

0:27:16.560 --> 0:27:19.440
<v Speaker 1>But let's use this very nice round number of roughly

0:27:19.480 --> 0:27:22.480
<v Speaker 1>a million, million, million, saying it's actually a little bit over,

0:27:22.520 --> 0:27:24.720
<v Speaker 1>but we'll just go with a million. How many units

0:27:24.720 --> 0:27:27.439
<v Speaker 1>are we expecting to see now and in the future.

0:27:27.840 --> 0:27:31.560
<v Speaker 2>So we estimate that the demand for transformers in twenty

0:27:31.560 --> 0:27:34.920
<v Speaker 2>twenty two was nine hundred and twenty units, so.

0:27:35.000 --> 0:27:36.960
<v Speaker 1>Nine hundred and twenty million.

0:27:36.800 --> 0:27:40.399
<v Speaker 2>Yeah, around one nine hundred and twenty million dollars. And

0:27:40.840 --> 0:27:44.119
<v Speaker 2>we expect the demand in our economic transition scenario to

0:27:44.200 --> 0:27:47.320
<v Speaker 2>be one thousand, three hundred and fifty seven units. And

0:27:47.400 --> 0:27:49.800
<v Speaker 2>if you look at the net zero scenario is over

0:27:49.880 --> 0:27:52.439
<v Speaker 2>two thousand units by twenty thirty.

0:27:52.600 --> 0:27:54.560
<v Speaker 1>And do we expect there to be cost the clients?

0:27:54.560 --> 0:27:57.240
<v Speaker 1>Are We feeling pretty confidently that this is pretty much

0:27:57.240 --> 0:27:59.880
<v Speaker 1>what they're going to cost, at least in the medium term.

0:28:00.160 --> 0:28:03.320
<v Speaker 3>I mean, we have been manufactured, not we, but money.

0:28:03.040 --> 0:28:06.879
<v Speaker 1>People people have been manufacturing have been manufacturing transformers for

0:28:06.920 --> 0:28:09.160
<v Speaker 1>a very long time, and it's pretty much a refined

0:28:09.359 --> 0:28:12.840
<v Speaker 1>product already, so there's no learning rates coming for this.

0:28:12.920 --> 0:28:15.560
<v Speaker 1>These are going to continue to be expensive and important

0:28:15.560 --> 0:28:19.760
<v Speaker 1>pieces of kit, and it has that nice round one

0:28:19.840 --> 0:28:24.600
<v Speaker 1>million number that we can put a dollar value against

0:28:24.960 --> 0:28:27.919
<v Speaker 1>the future units that are required. Well, Eva, thank you

0:28:28.080 --> 0:28:31.080
<v Speaker 1>very much for sharing your views and your research on

0:28:31.680 --> 0:28:34.239
<v Speaker 1>where we see transformer demand going in the future and

0:28:34.359 --> 0:28:37.960
<v Speaker 1>honestly just what transformers are and why they're so critically important.

0:28:38.080 --> 0:28:39.080
<v Speaker 1>Thank you for being here.

0:28:39.200 --> 0:28:40.880
<v Speaker 3>Thank you for having me.

0:28:48.880 --> 0:28:51.920
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0:28:52.040 --> 0:28:55.480
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0:28:55.520 --> 0:28:59.640
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