1 00:00:00,200 --> 00:00:04,400 Speaker 1: Welcome to Zero. I am Akshatrati. This week gas turbines 2 00:00:04,720 --> 00:00:20,280 Speaker 1: a blessing or a curse. For the last year at Bloombergreen, 3 00:00:20,520 --> 00:00:25,239 Speaker 1: I've been investigating bottlenecks to our clean, electrified future. We've 4 00:00:25,280 --> 00:00:27,840 Speaker 1: covered several different topics on zero, from a lack of 5 00:00:27,880 --> 00:00:31,720 Speaker 1: grit transformers to the shortage of skilled workers. Today, we 6 00:00:31,760 --> 00:00:34,040 Speaker 1: are going to be talking about something that might not 7 00:00:34,280 --> 00:00:39,680 Speaker 1: have an immediately obvious climate benefit. Gas turbines, those spinning 8 00:00:39,720 --> 00:00:44,240 Speaker 1: things that burn natural gas, turn a generator and produce electricity. 9 00:00:45,520 --> 00:00:48,440 Speaker 1: There's a growing shortage of gas turbines. It used to 10 00:00:48,440 --> 00:00:50,879 Speaker 1: take around two years to get a new one, Now 11 00:00:50,920 --> 00:00:54,800 Speaker 1: it takes up to five or more. Advocates for gas 12 00:00:54,880 --> 00:00:57,760 Speaker 1: call it a transition fuel, something that can fill the 13 00:00:57,800 --> 00:01:01,080 Speaker 1: gap between burning coal and moving to one hundred percent 14 00:01:01,160 --> 00:01:04,640 Speaker 1: carbon free grid. That's because for every killer what are 15 00:01:04,760 --> 00:01:08,320 Speaker 1: of electricity produced from gas, it only releases half the 16 00:01:08,360 --> 00:01:11,920 Speaker 1: amount of carbon dioxide as compared to coal. Gas can 17 00:01:11,959 --> 00:01:15,759 Speaker 1: also provide a useful and relatively cheap backup to renewables, 18 00:01:16,080 --> 00:01:18,920 Speaker 1: allowing for more clean power to be built out quickly 19 00:01:19,360 --> 00:01:24,720 Speaker 1: without worries of blackouts. But there are serious concerns about lockin. 20 00:01:25,480 --> 00:01:28,720 Speaker 1: Once someone spends billions of dollars building a gas power plant, 21 00:01:29,000 --> 00:01:30,920 Speaker 1: they'll want to run it for long enough that it 22 00:01:30,920 --> 00:01:34,759 Speaker 1: can make a decent return on their investment. Also, it's 23 00:01:34,800 --> 00:01:38,080 Speaker 1: worth noting that natural gas is mostly made of methane, 24 00:01:38,440 --> 00:01:42,120 Speaker 1: which has eighty times the warming potential of carbon dioxide. 25 00:01:42,760 --> 00:01:45,759 Speaker 1: There's a risk that if methane leaks aren't kept in check, 26 00:01:46,000 --> 00:01:49,720 Speaker 1: then gas power plants could be worse than coal power plants. 27 00:01:50,240 --> 00:01:52,880 Speaker 1: Whether you believe gas is a blessing or a curse 28 00:01:52,920 --> 00:01:55,960 Speaker 1: for the energy transition, the shortage of gas turbines is 29 00:01:55,960 --> 00:01:59,480 Speaker 1: causing serious headaches in the buildout of the electricity supply 30 00:01:59,720 --> 00:02:04,040 Speaker 1: that businesses desperately need. Joining me to discuss all this 31 00:02:04,120 --> 00:02:07,360 Speaker 1: is Steven Stopchinski, who add its energy stories and writes 32 00:02:07,400 --> 00:02:10,600 Speaker 1: about natural gas for Bloomberg. He and I collaborated with 33 00:02:10,680 --> 00:02:13,960 Speaker 1: our colleague Jostsol to conduct a global investigation into the 34 00:02:13,960 --> 00:02:17,280 Speaker 1: state of the gas turbine industry. Today on zero we 35 00:02:17,360 --> 00:02:20,360 Speaker 1: look at what's causing the bottleneck and gas turbines, whether 36 00:02:20,440 --> 00:02:23,320 Speaker 1: the shortage will make companies look to renewables or go 37 00:02:23,440 --> 00:02:26,520 Speaker 1: back to coal, and whether gas is really a bridge 38 00:02:26,520 --> 00:02:28,960 Speaker 1: to the future or the end goal for the fossil 39 00:02:28,960 --> 00:02:35,040 Speaker 1: fuel industry. Steven, welcome to the show. 40 00:02:35,200 --> 00:02:36,760 Speaker 2: Thank you for having me so. 41 00:02:36,919 --> 00:02:41,200 Speaker 1: I consider you to be Bloomberg's resident expert on natural gas. 42 00:02:41,440 --> 00:02:44,880 Speaker 1: You nerd out about lnged hankers, you put out tiktoks 43 00:02:44,919 --> 00:02:48,399 Speaker 1: about crazy price swings, and there are lots of Simpsons 44 00:02:48,440 --> 00:02:51,960 Speaker 1: characters in there on your charts. I also assume that 45 00:02:52,040 --> 00:02:56,040 Speaker 1: sitting in Singapore you have set up binoculars that you 46 00:02:56,440 --> 00:02:59,680 Speaker 1: use to see these bulbous ships go past. 47 00:03:00,080 --> 00:03:02,239 Speaker 2: Right. Man, if I had a place in Sentosa, I 48 00:03:02,280 --> 00:03:05,000 Speaker 2: would totally do that, but unfortunately my view is just 49 00:03:05,040 --> 00:03:06,680 Speaker 2: a bunch of buildings. But when I do go to 50 00:03:06,720 --> 00:03:09,040 Speaker 2: the beach, I do look out for LNG ships and 51 00:03:09,080 --> 00:03:09,600 Speaker 2: I see them. 52 00:03:10,480 --> 00:03:12,760 Speaker 1: So it's great to have you on zero. And we're 53 00:03:12,760 --> 00:03:15,239 Speaker 1: going to talk about a phenomena that you and I 54 00:03:15,280 --> 00:03:18,360 Speaker 1: have both seen building up for some time now, but 55 00:03:18,520 --> 00:03:21,560 Speaker 1: it has come to a crisis point. Is the shortage 56 00:03:21,600 --> 00:03:24,680 Speaker 1: of gas turbines. When did you first hear about it? 57 00:03:25,040 --> 00:03:28,080 Speaker 2: You know, I've been reading reports about this for maybe 58 00:03:28,160 --> 00:03:31,440 Speaker 2: a year, how there have been more gas turbine orders, 59 00:03:31,720 --> 00:03:33,760 Speaker 2: And I actually didn't pay very much attention to it 60 00:03:33,800 --> 00:03:37,440 Speaker 2: because I've been covering LNG at Bloomberg for over a decade, 61 00:03:37,560 --> 00:03:39,400 Speaker 2: and for a long time, gas turbines was one of 62 00:03:39,400 --> 00:03:41,480 Speaker 2: the more boring parts of the industry. You would order 63 00:03:41,480 --> 00:03:44,400 Speaker 2: your turbine, it would come twenty four months later, usually 64 00:03:44,440 --> 00:03:46,520 Speaker 2: without fail there will be no issues. But I was 65 00:03:46,560 --> 00:03:50,480 Speaker 2: at an energy conference in India and February, and in 66 00:03:50,480 --> 00:03:53,000 Speaker 2: India they want to boost gas. They want to make 67 00:03:53,000 --> 00:03:55,840 Speaker 2: it fifteen percent of the energy mix by twenty thirty, 68 00:03:55,880 --> 00:03:58,240 Speaker 2: basically double where we are today. And so I would 69 00:03:58,240 --> 00:03:59,960 Speaker 2: ask the utilities, you know, what are you going to do. 70 00:04:00,720 --> 00:04:04,200 Speaker 2: Your greate is mostly coal? Are you going to build 71 00:04:04,280 --> 00:04:07,280 Speaker 2: some new gas fire power plants to try to boost 72 00:04:07,280 --> 00:04:09,440 Speaker 2: those numbers and hit the twenty thirty goal for MODI? 73 00:04:09,880 --> 00:04:12,040 Speaker 2: And the utilities looked at me and they said, we 74 00:04:12,040 --> 00:04:14,120 Speaker 2: can't afford that, And I said, why not. It is 75 00:04:14,120 --> 00:04:17,000 Speaker 2: because the gas is too expensive. You know, the invasion 76 00:04:17,040 --> 00:04:19,880 Speaker 2: of Ukraine or Russia kind of shocked the market. Prices jumped, 77 00:04:19,920 --> 00:04:22,560 Speaker 2: and they said, well, that's one issue, but another is 78 00:04:22,960 --> 00:04:25,200 Speaker 2: gas fire power plants are just too expensive for us 79 00:04:25,240 --> 00:04:27,279 Speaker 2: to build at the moment. It makes far more sense 80 00:04:27,320 --> 00:04:29,440 Speaker 2: for us to look at coal or even in some 81 00:04:29,480 --> 00:04:31,960 Speaker 2: cases renewables I was a little bit surprised by that. 82 00:04:32,040 --> 00:04:34,400 Speaker 2: I didn't know gas power plants got so expensive and 83 00:04:34,440 --> 00:04:36,640 Speaker 2: they're on the front lines, probably one of the more 84 00:04:36,680 --> 00:04:39,479 Speaker 2: price sensitive buyers. So that got me kind of looking 85 00:04:39,520 --> 00:04:42,480 Speaker 2: into it, and I realized that there was just something 86 00:04:42,480 --> 00:04:44,960 Speaker 2: happening in the market. From Asia to the US to Europe, 87 00:04:45,120 --> 00:04:48,279 Speaker 2: people weren't getting the turbines that they wanted quickly, and 88 00:04:48,360 --> 00:04:49,760 Speaker 2: it was costing them far more money. 89 00:04:49,839 --> 00:04:52,680 Speaker 1: Yeah. So it is a strange thing because if you 90 00:04:52,760 --> 00:04:55,640 Speaker 1: are not the nerd that is Steven who looks at 91 00:04:55,720 --> 00:04:58,800 Speaker 1: energy prices daily, you're going to be like, hold on 92 00:04:58,839 --> 00:05:02,520 Speaker 1: a minute. Was the Russia Ukraine War that caused this 93 00:05:02,640 --> 00:05:06,720 Speaker 1: huge gas bike people were struggling to get gas and 94 00:05:06,800 --> 00:05:09,799 Speaker 1: now we have gone and swung the other way where 95 00:05:09,880 --> 00:05:12,640 Speaker 1: it's not about gas shortages, it's about the shortage of 96 00:05:12,760 --> 00:05:15,560 Speaker 1: gas turbines. How does that happen? 97 00:05:16,080 --> 00:05:18,320 Speaker 2: First off, I think we need to explain very bally 98 00:05:18,360 --> 00:05:21,320 Speaker 2: what a gas turbine is. Right, it's the heart of 99 00:05:21,440 --> 00:05:24,599 Speaker 2: a power plan. So if you want to generate electricity, 100 00:05:24,640 --> 00:05:28,120 Speaker 2: you have to build a power plant and essentially turn 101 00:05:28,160 --> 00:05:30,760 Speaker 2: a turbine, and that's where the gas turbine comes in. 102 00:05:30,839 --> 00:05:34,280 Speaker 2: It's one of the more efficient ways to produce electricity 103 00:05:34,320 --> 00:05:37,520 Speaker 2: at a large scale. It's very complicated. These things are 104 00:05:37,560 --> 00:05:40,600 Speaker 2: the size of the bus. They weigh the same as 105 00:05:40,640 --> 00:05:44,839 Speaker 2: a fully loaded Boeing seven forty seven, and this is 106 00:05:44,920 --> 00:05:48,920 Speaker 2: a piece of equipment that has been in demand right 107 00:05:48,960 --> 00:05:51,680 Speaker 2: The demand for gas fire power plants has been pretty 108 00:05:51,680 --> 00:05:54,960 Speaker 2: steady over the last decade, especially in the United States. 109 00:05:55,160 --> 00:05:57,719 Speaker 2: The US built a number of gas fire power plants 110 00:05:57,720 --> 00:06:01,360 Speaker 2: after the Shell Revolution caused gas prices to drop, making 111 00:06:01,400 --> 00:06:06,080 Speaker 2: it more affordable than coal. Likewise, places like Japan, Korea, 112 00:06:06,080 --> 00:06:08,440 Speaker 2: and even in China to an extent, have been turning 113 00:06:08,480 --> 00:06:12,719 Speaker 2: more to gas because they're able to deal with different 114 00:06:13,120 --> 00:06:16,440 Speaker 2: changes in power supply from renewables. Gas plants known as 115 00:06:16,480 --> 00:06:20,200 Speaker 2: peaker plants, can quickly ramp up and ramp down output, 116 00:06:20,480 --> 00:06:24,200 Speaker 2: unlike coal, so which is more steady across the board. 117 00:06:24,600 --> 00:06:26,880 Speaker 2: So there has already been this demand for gas, and 118 00:06:27,000 --> 00:06:30,280 Speaker 2: on top of that, the power industry has been looking 119 00:06:30,320 --> 00:06:32,960 Speaker 2: at gas as a way to shift away from coal. 120 00:06:33,360 --> 00:06:36,080 Speaker 2: So here in Asia, especially in the emerging world, which 121 00:06:36,120 --> 00:06:39,159 Speaker 2: is very dependent on coal, they've been looking at instead 122 00:06:39,200 --> 00:06:41,159 Speaker 2: of building new coal fire power plants to meet their 123 00:06:41,279 --> 00:06:47,239 Speaker 2: rapid demand increases. Of Vietnam, India and other places. There's 124 00:06:47,279 --> 00:06:48,720 Speaker 2: been a kind of a shift to look at how 125 00:06:48,760 --> 00:06:51,640 Speaker 2: can we build more gas fire power plants. One of 126 00:06:51,640 --> 00:06:55,520 Speaker 2: the reasons being that gas emits about half as much 127 00:06:55,720 --> 00:06:58,960 Speaker 2: CO two emissions when combusted compared to coal, which is 128 00:06:59,000 --> 00:07:02,640 Speaker 2: the dirtiest fossil fuel. Now there's been this kind of 129 00:07:02,640 --> 00:07:06,520 Speaker 2: steady demand across Asia because of that, and especially in 130 00:07:06,520 --> 00:07:08,920 Speaker 2: the last I think ten years, a lot of countries 131 00:07:09,000 --> 00:07:11,760 Speaker 2: have been pushing forward with their plans to build more 132 00:07:11,800 --> 00:07:15,280 Speaker 2: gas fire power plants. Now you look at the West, 133 00:07:15,360 --> 00:07:19,120 Speaker 2: it's a different sort of story. Power demand had largely 134 00:07:19,160 --> 00:07:21,720 Speaker 2: been sort of peaking in the US. You saw it 135 00:07:21,800 --> 00:07:24,040 Speaker 2: kind of an increase, but it has been pretty steady. 136 00:07:24,440 --> 00:07:28,240 Speaker 2: But the AI boom in particular has really increased the 137 00:07:28,320 --> 00:07:31,640 Speaker 2: need for electricity, especially as there's a large build out 138 00:07:31,920 --> 00:07:36,040 Speaker 2: in data centers. I mean, the numbers there are pretty ridiculous. 139 00:07:36,120 --> 00:07:39,920 Speaker 2: In the US, they're looking to potentially see peak demand 140 00:07:39,960 --> 00:07:43,000 Speaker 2: increase by one hundred and fifty gigawatts over the next 141 00:07:43,040 --> 00:07:46,600 Speaker 2: decade due in part two AI. That's an eighteen percent 142 00:07:46,720 --> 00:07:50,760 Speaker 2: growth from current levels. It's like adding the equivalent of California, 143 00:07:50,800 --> 00:07:53,200 Speaker 2: Texas and New York to the power system, and then 144 00:07:53,280 --> 00:07:55,840 Speaker 2: on top of that, the US has to also replace 145 00:07:56,160 --> 00:07:59,440 Speaker 2: old coal plants and old gas plants. That's another essentially 146 00:07:59,440 --> 00:08:02,480 Speaker 2: one hundred and twenty gigwatts of existing power capacity, or 147 00:08:02,520 --> 00:08:05,720 Speaker 2: ten percent of the total US fleet that's expected to 148 00:08:05,760 --> 00:08:09,960 Speaker 2: retire over the coming decade. All of that together really 149 00:08:10,000 --> 00:08:15,120 Speaker 2: increases demand there and it's caused a spike in orders 150 00:08:15,160 --> 00:08:15,880 Speaker 2: for turbines. 151 00:08:16,360 --> 00:08:19,120 Speaker 1: And what you and I have been hearing from the 152 00:08:19,160 --> 00:08:22,200 Speaker 1: industry is that there's this timeframe which is to be 153 00:08:22,240 --> 00:08:24,600 Speaker 1: about twenty four months to get a gas turbine, has 154 00:08:24,640 --> 00:08:28,080 Speaker 1: now suddenly gone to five years, or you just cannot 155 00:08:28,160 --> 00:08:31,400 Speaker 1: get on the queue to get one of these large 156 00:08:31,440 --> 00:08:35,280 Speaker 1: gas turbines. So that's when you and I and our 157 00:08:35,320 --> 00:08:39,120 Speaker 1: colleague in New York, Josh Saul, teamed up and we 158 00:08:39,240 --> 00:08:42,400 Speaker 1: wanted to understand the real reasons for why this kind 159 00:08:42,400 --> 00:08:46,200 Speaker 1: of shortage exists. And this story needed three reporters in 160 00:08:46,240 --> 00:08:48,280 Speaker 1: three regions, right absolutely. 161 00:08:48,440 --> 00:08:51,360 Speaker 2: I think because the nature of the industry, there are 162 00:08:51,600 --> 00:08:56,319 Speaker 2: three major suppliers that essentially dominate it. There's giev Renova, 163 00:08:56,400 --> 00:09:00,320 Speaker 2: which is essentially located in North America. There's Semens, which 164 00:09:00,360 --> 00:09:03,080 Speaker 2: is located in Europe. You went to see them there. 165 00:09:03,280 --> 00:09:06,559 Speaker 2: And then there's Mitsubishi Heavy, which is a Japanese company, 166 00:09:06,920 --> 00:09:09,760 Speaker 2: and each of them kind of have a large share. 167 00:09:09,800 --> 00:09:12,880 Speaker 2: While they do sell turbines across different regions, they really 168 00:09:12,880 --> 00:09:15,440 Speaker 2: do sort of dominate their home markets. So, for example, 169 00:09:15,440 --> 00:09:18,800 Speaker 2: Mitsubishi Heavy, a lot of their customers are in Asia. 170 00:09:19,200 --> 00:09:21,720 Speaker 1: And so this episode is part of the Bottlenecks series 171 00:09:21,840 --> 00:09:24,080 Speaker 1: where we've covered the things that are holding back the 172 00:09:24,080 --> 00:09:28,000 Speaker 1: world from speeding up toward a cleaner and more electrified future. 173 00:09:28,600 --> 00:09:32,280 Speaker 1: And throughout we've found that there are a few reasons 174 00:09:32,320 --> 00:09:36,520 Speaker 1: that these bottlenecks exist. So in this case, given Semen's Energy, 175 00:09:36,760 --> 00:09:41,040 Speaker 1: jie Van Nova and Mitsubushi Heavy own about seventy percent 176 00:09:41,120 --> 00:09:44,920 Speaker 1: of the market for large gas turbines, isn't it the 177 00:09:45,160 --> 00:09:48,280 Speaker 1: onus on them to expand capacity. They are going to 178 00:09:48,320 --> 00:09:52,240 Speaker 1: earn tens of millions of dollars per turbine, Their profits 179 00:09:52,240 --> 00:09:55,840 Speaker 1: are going to be great, They're already pretty good. Why 180 00:09:55,920 --> 00:09:59,720 Speaker 1: is it that their expansion is not keeping up with 181 00:09:59,760 --> 00:10:02,240 Speaker 1: the of the demand for these turbines. 182 00:10:02,520 --> 00:10:03,880 Speaker 2: I think you have to kind of look at the 183 00:10:03,920 --> 00:10:07,560 Speaker 2: history of this industry first to go into that. So 184 00:10:08,520 --> 00:10:11,920 Speaker 2: back in two thousand, there was another gas turbine boom 185 00:10:12,160 --> 00:10:15,080 Speaker 2: due in part to deregulation in the United States. There 186 00:10:15,080 --> 00:10:17,320 Speaker 2: were a lot of orders in Texas, and you saw 187 00:10:17,480 --> 00:10:22,520 Speaker 2: orders of turbines rise to above one hundred gigawatts of orders. 188 00:10:22,600 --> 00:10:27,120 Speaker 2: The capacity today is about sixty gaguats. Now, the industry 189 00:10:27,160 --> 00:10:29,000 Speaker 2: did build up and they spent a lot of money 190 00:10:29,200 --> 00:10:33,440 Speaker 2: investing in new capacity in the early aughts, but the 191 00:10:33,520 --> 00:10:36,880 Speaker 2: demand quickly fell apart and they didn't see a return 192 00:10:36,960 --> 00:10:40,679 Speaker 2: to that one hundred gigawatt level, and that gas turbine 193 00:10:40,679 --> 00:10:44,200 Speaker 2: boom in the early oughts really fizzled for a few reasons. One, 194 00:10:44,880 --> 00:10:48,120 Speaker 2: gas prices. Natural gas prices rose in the United States, 195 00:10:48,160 --> 00:10:51,240 Speaker 2: making it not very economical to operate these facilities. They 196 00:10:51,320 --> 00:10:52,719 Speaker 2: just kind of got out of vogue because it was 197 00:10:52,760 --> 00:10:54,880 Speaker 2: too expensive. And then right after that, there was a 198 00:10:54,920 --> 00:10:57,400 Speaker 2: financial crisis, which just took a hit to power demand 199 00:10:57,440 --> 00:11:00,920 Speaker 2: as well, and utilities weren't eager to build new power plants. 200 00:11:01,600 --> 00:11:03,880 Speaker 2: So over the last two decades, while there has been 201 00:11:03,920 --> 00:11:06,199 Speaker 2: increases here and there and have been hills and valleys, 202 00:11:06,679 --> 00:11:10,080 Speaker 2: the industry was really hurt by that and they never 203 00:11:10,320 --> 00:11:12,040 Speaker 2: kind of recovered, and a lot of people who are 204 00:11:12,080 --> 00:11:16,679 Speaker 2: executives today at Cemen's ge Rinova and Mitsubishi Heavy have 205 00:11:17,080 --> 00:11:20,240 Speaker 2: memories of that, and so they're worried again that is 206 00:11:20,240 --> 00:11:23,760 Speaker 2: its demand really going to stick? You know, the AI 207 00:11:23,840 --> 00:11:26,000 Speaker 2: boom clearly, you know, we write a lot about it, 208 00:11:26,200 --> 00:11:28,120 Speaker 2: and you are seeing data center build out in the 209 00:11:28,200 --> 00:11:31,800 Speaker 2: United States and you are seeing a lot more demand 210 00:11:31,800 --> 00:11:34,480 Speaker 2: for electricity out of certain parts of the US. But 211 00:11:34,640 --> 00:11:37,040 Speaker 2: how sticky is that, I think are what people in 212 00:11:37,080 --> 00:11:40,040 Speaker 2: the industry are wondering. That's the one thing, Because the 213 00:11:40,120 --> 00:11:44,480 Speaker 2: other thing is that this is hyper technical, hyper specialized 214 00:11:44,480 --> 00:11:48,840 Speaker 2: equipment that requires really a certain type of factory that 215 00:11:48,880 --> 00:11:52,520 Speaker 2: can't just be built overnight, and so investing in that 216 00:11:52,720 --> 00:11:55,560 Speaker 2: requires a lot of money, a lot of expertise, and 217 00:11:55,600 --> 00:11:59,760 Speaker 2: a lot of time. So do they one still expect 218 00:11:59,760 --> 00:12:03,080 Speaker 2: that this demand increase will last over the next five 219 00:12:03,080 --> 00:12:05,640 Speaker 2: to ten years, as some analysts are saying, And then two, 220 00:12:05,880 --> 00:12:09,080 Speaker 2: do they have the wherewithal to really look at building 221 00:12:09,440 --> 00:12:12,880 Speaker 2: new factories? Because actually Mitsubishi Heavy has said to us 222 00:12:12,880 --> 00:12:15,440 Speaker 2: we had an exclusive interview with their CEO. He said 223 00:12:15,480 --> 00:12:18,079 Speaker 2: that they're looking to double their capacity. But when you 224 00:12:18,080 --> 00:12:20,560 Speaker 2: get into the details, it's not that they're building a 225 00:12:20,559 --> 00:12:23,680 Speaker 2: new factory. They're just trying to make their existing factory 226 00:12:23,760 --> 00:12:26,760 Speaker 2: as efficient as possible. So I think what you're going 227 00:12:26,800 --> 00:12:29,840 Speaker 2: to see is folks are going to try to pump 228 00:12:29,880 --> 00:12:31,720 Speaker 2: out as much as they can out of their existing 229 00:12:31,800 --> 00:12:35,200 Speaker 2: factories before they really look at putting shovels in the 230 00:12:35,200 --> 00:12:37,280 Speaker 2: ground to build new factories that are going to cost 231 00:12:37,280 --> 00:12:38,120 Speaker 2: a lot of more money. 232 00:12:38,360 --> 00:12:40,920 Speaker 1: That's the same thing I found reporting on Semen's Energy 233 00:12:41,040 --> 00:12:44,040 Speaker 1: that they have already increased the number of cast turbines 234 00:12:44,080 --> 00:12:47,160 Speaker 1: that they can make from their existing factory over the 235 00:12:47,240 --> 00:12:49,600 Speaker 1: last two years, and they are looking to expand, but 236 00:12:49,760 --> 00:12:53,200 Speaker 1: only within the dimensions of their own factory, which is 237 00:12:53,200 --> 00:12:55,840 Speaker 1: in central Berlin, and so there's not that much land 238 00:12:55,880 --> 00:12:57,920 Speaker 1: to expand, and so they're having to move some parts 239 00:12:57,920 --> 00:12:59,920 Speaker 1: of it out just to be able to ensure that 240 00:13:00,120 --> 00:13:03,440 Speaker 1: can produce more gas turbines from those places. So you 241 00:13:03,520 --> 00:13:06,480 Speaker 1: touched a little bit on the fact that the factory 242 00:13:06,520 --> 00:13:11,240 Speaker 1: itself as complicated, But surely, given how much money you 243 00:13:11,280 --> 00:13:15,439 Speaker 1: could be making, why aren't small companies or even startups 244 00:13:15,480 --> 00:13:18,920 Speaker 1: coming into solve what is clearly a big commercial opportunity. 245 00:13:19,120 --> 00:13:22,560 Speaker 2: The thing with the turbines is that these companies have 246 00:13:22,640 --> 00:13:25,679 Speaker 2: been developing them for decades. It is not something that 247 00:13:25,880 --> 00:13:28,760 Speaker 2: they came in and decided, hey, we're gonna crash this out. 248 00:13:28,800 --> 00:13:31,800 Speaker 2: These aren't startups. These are companies that have been working 249 00:13:31,840 --> 00:13:35,400 Speaker 2: on turbines for in some cases close to a century. 250 00:13:35,600 --> 00:13:38,560 Speaker 2: When I met with the folks at Mitsubishi Heavy in Tokyo, 251 00:13:38,840 --> 00:13:42,040 Speaker 2: they told me that it's really this testing. It's the 252 00:13:42,160 --> 00:13:47,760 Speaker 2: data that they've collected through decades and decades of operations. Actually, 253 00:13:47,800 --> 00:13:50,480 Speaker 2: one interesting thing about mitsbec Heavy is that they have 254 00:13:50,960 --> 00:13:53,520 Speaker 2: their turbine. They're one of their turbines operating at their 255 00:13:53,559 --> 00:13:55,760 Speaker 2: factory so that they can use it as a test 256 00:13:55,840 --> 00:13:58,439 Speaker 2: case for when they make small tweaks to the design. 257 00:13:58,800 --> 00:14:01,800 Speaker 2: It's something that's really important that others cannot easily do. 258 00:14:02,280 --> 00:14:05,839 Speaker 2: And on top of that, turbines are just really complicated. 259 00:14:05,880 --> 00:14:08,640 Speaker 2: We've to an extent, really perfected them. I kind of 260 00:14:08,640 --> 00:14:11,680 Speaker 2: look at turbines similar to how we look at semiconductors. Right, 261 00:14:11,920 --> 00:14:14,200 Speaker 2: you can't just jump in and start building a semiconductor. 262 00:14:14,240 --> 00:14:17,800 Speaker 2: You have to really understand the intricacies of where every 263 00:14:17,960 --> 00:14:22,160 Speaker 2: single one of those small thousands of blades go. This 264 00:14:22,240 --> 00:14:26,560 Speaker 2: thing is rotating at three thousand revolutions a minute, and 265 00:14:26,640 --> 00:14:31,640 Speaker 2: to do that perfectly requires precision, it requires materials, and 266 00:14:31,680 --> 00:14:35,240 Speaker 2: it requires a wherewithal to keep at it that other 267 00:14:35,640 --> 00:14:39,320 Speaker 2: companies can't easily break into. And it's actually interesting. China 268 00:14:39,360 --> 00:14:42,520 Speaker 2: is developing their own turbine. They're looking at commercializing a 269 00:14:42,600 --> 00:14:46,520 Speaker 2: three hundred megawat turbine, and yet it still isn't up 270 00:14:46,520 --> 00:14:48,840 Speaker 2: to par with what these three companies are doing with 271 00:14:48,880 --> 00:14:52,640 Speaker 2: their five hundred to six hundred megawatt level equipment. These 272 00:14:52,680 --> 00:14:56,400 Speaker 2: companies are also very secretive and they really look after 273 00:14:56,440 --> 00:15:00,760 Speaker 2: their IP remarkably highly. It's something that I saw when 274 00:15:00,800 --> 00:15:03,480 Speaker 2: we were interviewing Mitsubishi Heavy Industries. We start a photographer 275 00:15:03,800 --> 00:15:05,600 Speaker 2: there to look at it. We sent a reporter and 276 00:15:05,600 --> 00:15:08,280 Speaker 2: he couldn't take pictures inside of the building. One of 277 00:15:08,320 --> 00:15:11,040 Speaker 2: these issues is this high entry barrier. I think when 278 00:15:11,080 --> 00:15:14,400 Speaker 2: you spoke with Range Schmirker at Semen's Energy, he had 279 00:15:14,400 --> 00:15:15,520 Speaker 2: a really interesting quote. 280 00:15:15,680 --> 00:15:18,400 Speaker 1: Yeah, he said, is the beauty of our industry that 281 00:15:18,480 --> 00:15:21,880 Speaker 1: it has a super high entry barrier. And that's because 282 00:15:22,040 --> 00:15:24,080 Speaker 1: it just costs a lot of money to develop these 283 00:15:24,080 --> 00:15:26,960 Speaker 1: gas turbines and takes years of experience. 284 00:15:27,520 --> 00:15:30,960 Speaker 2: Now you know, these companies are very very secretive. Like 285 00:15:31,000 --> 00:15:33,600 Speaker 2: I said, We tried to get some pictures inside the 286 00:15:33,600 --> 00:15:37,120 Speaker 2: factories at Mitsubishi Heavy they wouldn't allow it in Japan. 287 00:15:37,160 --> 00:15:39,600 Speaker 2: We weren't very successful. Did you have any better luck 288 00:15:39,600 --> 00:15:42,240 Speaker 2: action when you went to Seaman Energies factory. Yeah. 289 00:15:42,280 --> 00:15:45,160 Speaker 1: I was surprised by the fact that they actually let 290 00:15:45,200 --> 00:15:48,360 Speaker 1: me see all of it without restriction. It felt like that, 291 00:15:48,560 --> 00:15:50,200 Speaker 1: and towards the end I asked them, what did you 292 00:15:50,280 --> 00:15:52,000 Speaker 1: not show me? And I'll tell you more about that. 293 00:15:52,400 --> 00:15:56,880 Speaker 1: But the factory itself was amazing. So it was built 294 00:15:56,920 --> 00:16:01,080 Speaker 1: in the very early twentieth century, and at that time 295 00:16:01,120 --> 00:16:03,280 Speaker 1: it was on the edge of Berlin, but of course 296 00:16:03,320 --> 00:16:06,360 Speaker 1: Berlin has grown since then and so now it sits 297 00:16:06,400 --> 00:16:09,080 Speaker 1: in the heart of Berlin. Like I was staying in 298 00:16:09,120 --> 00:16:11,200 Speaker 1: a hotel in central Berlin and it was a ten 299 00:16:11,240 --> 00:16:14,040 Speaker 1: minute taxi right to get to this massive factory which 300 00:16:14,080 --> 00:16:17,920 Speaker 1: has three thousand workers, which produces fifty sixty gas turbines 301 00:16:17,960 --> 00:16:22,600 Speaker 1: a year. The factory itself now has heritage buildings, so 302 00:16:22,720 --> 00:16:26,360 Speaker 1: certain things cannot be modified because it is considered part 303 00:16:26,400 --> 00:16:30,840 Speaker 1: of German history. It's made of glass and steel and concrete. 304 00:16:30,920 --> 00:16:35,720 Speaker 1: It's got massive ceilings going up twenty five meters. The 305 00:16:35,760 --> 00:16:38,560 Speaker 1: turbine haul itself is two hundred meters long, and you 306 00:16:38,600 --> 00:16:40,360 Speaker 1: can see from one end to the other end if 307 00:16:40,400 --> 00:16:43,560 Speaker 1: you go to a high point, and then the equipment itself. 308 00:16:44,240 --> 00:16:47,560 Speaker 1: I knew what gas turbines looked like, I'd seen photos 309 00:16:47,560 --> 00:16:50,760 Speaker 1: of them, but seeing them up close is just stunning. 310 00:16:51,080 --> 00:16:57,280 Speaker 1: There are these massive, really precisely engineered pieces of metal 311 00:16:57,760 --> 00:17:03,440 Speaker 1: with sometimes really fancy coatings on them that are over months. 312 00:17:03,560 --> 00:17:05,840 Speaker 1: You know you said takes twenty four months from getting 313 00:17:05,880 --> 00:17:08,480 Speaker 1: an order to a turbine. It really does take months 314 00:17:08,480 --> 00:17:11,159 Speaker 1: to be able to ensure all these different parts of 315 00:17:11,200 --> 00:17:15,160 Speaker 1: the supply chain come into Semen's energy, and that engineers 316 00:17:15,200 --> 00:17:18,640 Speaker 1: are able to then assemble these tiny pieces all together. 317 00:17:19,880 --> 00:17:23,200 Speaker 1: And the engineering precision is needed because of the speed 318 00:17:23,240 --> 00:17:25,800 Speaker 1: at which they're rotating, but also the temperature at which 319 00:17:25,800 --> 00:17:26,639 Speaker 1: they're operating. 320 00:17:26,840 --> 00:17:29,960 Speaker 2: Actually, can you just walk through the engineering of a 321 00:17:30,000 --> 00:17:31,119 Speaker 2: gas turbine forming. 322 00:17:31,320 --> 00:17:34,040 Speaker 1: It's something that I think most people, at least people 323 00:17:34,040 --> 00:17:36,920 Speaker 1: who've taken a flight would actually be able to understand 324 00:17:36,920 --> 00:17:42,120 Speaker 1: pretty easily, because a gas turbine is really a large 325 00:17:42,240 --> 00:17:45,240 Speaker 1: version of what a jet engine looks like. There is 326 00:17:45,359 --> 00:17:48,679 Speaker 1: air coming from one end, there is fuel being burnt 327 00:17:48,680 --> 00:17:53,159 Speaker 1: inside the turbine and the exhaust gases from this combustion 328 00:17:53,600 --> 00:17:55,800 Speaker 1: is what is in the case of a jet engine, 329 00:17:55,840 --> 00:17:58,240 Speaker 1: propelling it to fly in the air, in the case 330 00:17:58,280 --> 00:18:00,880 Speaker 1: of a gas turbine, turning a shaft that then can 331 00:18:01,000 --> 00:18:05,479 Speaker 1: generate power. But to make that happen is not that simple. 332 00:18:05,760 --> 00:18:08,800 Speaker 1: It's taking this air, but it compresses it using these 333 00:18:08,880 --> 00:18:11,440 Speaker 1: rotors and blades that are turning at three thousand revolutions 334 00:18:11,440 --> 00:18:14,640 Speaker 1: per minute. And in the process of compressing the air, 335 00:18:14,720 --> 00:18:17,399 Speaker 1: it's heating it up, so it's going from room temperature 336 00:18:17,440 --> 00:18:20,360 Speaker 1: air to six hundred degrees celsius. And then this hot 337 00:18:20,400 --> 00:18:23,120 Speaker 1: air is combined with natural gas and burnt in the 338 00:18:23,200 --> 00:18:27,520 Speaker 1: combustion chamber and raises that temperature to fifteen hundred degrees celsius, 339 00:18:27,600 --> 00:18:30,439 Speaker 1: and all that hot gas is released out into the 340 00:18:30,480 --> 00:18:34,680 Speaker 1: exhaust section, where again lots of rotors and blades take 341 00:18:34,800 --> 00:18:39,000 Speaker 1: all that mechanical energy and turn the shaft. It is simple, 342 00:18:39,359 --> 00:18:44,159 Speaker 1: and yet because of the pressure and temperature and speed 343 00:18:44,320 --> 00:18:47,720 Speaker 1: at which it operates, it's really complicated engineering. 344 00:18:48,040 --> 00:18:50,480 Speaker 2: And then on top of that you also have the 345 00:18:50,560 --> 00:18:53,800 Speaker 2: combined cycle aspect of it. Do you want to talk 346 00:18:53,800 --> 00:18:55,040 Speaker 2: about that as well? Really quick? 347 00:18:55,520 --> 00:18:58,040 Speaker 1: Yeah, It's a good point because when gas turbines were 348 00:18:58,080 --> 00:19:02,159 Speaker 1: initially created, just like engines, if you just burn the 349 00:19:02,160 --> 00:19:05,200 Speaker 1: fuel and you let the exhaust go out, the exhaust 350 00:19:05,280 --> 00:19:08,120 Speaker 1: is at still a pretty high temperature, and which means 351 00:19:08,119 --> 00:19:11,080 Speaker 1: you're just losing a ton of energy to the atmosphere. 352 00:19:11,680 --> 00:19:15,240 Speaker 1: That's what gas speaker plants do today. They take the gas, 353 00:19:15,320 --> 00:19:17,639 Speaker 1: they burn it, and then they let out quite a 354 00:19:17,680 --> 00:19:21,160 Speaker 1: lot of energy just into the atmosphere. So the industry 355 00:19:21,160 --> 00:19:23,760 Speaker 1: came up with a way to make the process more efficient. 356 00:19:24,400 --> 00:19:27,000 Speaker 1: Rather than just leaving this exhaust gas which has so 357 00:19:27,040 --> 00:19:30,879 Speaker 1: much energy in it, they combined it by taking that 358 00:19:30,960 --> 00:19:35,320 Speaker 1: exhaust gas, using it to heat water, make steam, and 359 00:19:35,359 --> 00:19:38,520 Speaker 1: then have a steam turbine turn and make more power. 360 00:19:38,720 --> 00:19:42,080 Speaker 1: So combined cycle power plant can be as efficient as 361 00:19:42,160 --> 00:19:45,600 Speaker 1: sixty sixty five percent, whereas a gas turbine plant is 362 00:19:45,640 --> 00:19:49,320 Speaker 1: thirty five, forty maybe forty three percent efficient at best. 363 00:19:54,560 --> 00:19:57,639 Speaker 1: After the break, what was the Semen's factory hiding from me? 364 00:19:58,119 --> 00:20:01,480 Speaker 1: And why were they hiding it? If you're enjoying this episode, 365 00:20:01,520 --> 00:20:04,360 Speaker 1: please give Zero a review on Apple Podcasts and Spotify 366 00:20:04,440 --> 00:20:07,679 Speaker 1: to help new listeners find the show. Recently, Travels for 367 00:20:07,720 --> 00:20:11,159 Speaker 1: Work wrote this podcast is data driven and delivered with 368 00:20:11,200 --> 00:20:15,280 Speaker 1: so much integrity. There's episodes I have listened to multiple times. 369 00:20:15,640 --> 00:20:16,720 Speaker 1: Thanks travels for work. 370 00:20:33,440 --> 00:20:34,800 Speaker 2: All right, and I want to go back to this 371 00:20:34,880 --> 00:20:37,720 Speaker 2: factory you saw in Berlin. What exactly do you think 372 00:20:37,720 --> 00:20:40,679 Speaker 2: Siemens was being secretive or hiding stuff from you about. 373 00:20:40,720 --> 00:20:43,400 Speaker 1: So on the tour, I really couldn't tell, Like there 374 00:20:43,480 --> 00:20:47,640 Speaker 1: was no closed off area, there was no indication, don't 375 00:20:47,680 --> 00:20:50,120 Speaker 1: go there, don't see this, And so I just had 376 00:20:50,119 --> 00:20:54,160 Speaker 1: to ask, because of your experience with Mitsubushi, as like, guys, 377 00:20:54,240 --> 00:20:57,320 Speaker 1: surely you're hiding something from me. And they said, there 378 00:20:57,359 --> 00:20:59,120 Speaker 1: are two things we haven't shown you and we can't 379 00:20:59,160 --> 00:21:02,520 Speaker 1: show you. They said, we can't show you our latest model, 380 00:21:02,520 --> 00:21:05,800 Speaker 1: which is the nine thousand HL, which produces about six 381 00:21:05,880 --> 00:21:09,199 Speaker 1: hundred megawads of power. We can't show you because we 382 00:21:09,320 --> 00:21:11,399 Speaker 1: don't want to show you, but also currently we're not 383 00:21:11,440 --> 00:21:14,320 Speaker 1: manufacturing one. And then the other side they didn't show 384 00:21:14,320 --> 00:21:19,639 Speaker 1: me was the design studio where they run simulations on 385 00:21:19,760 --> 00:21:24,000 Speaker 1: these blades and rotors that determine how gas and air 386 00:21:24,160 --> 00:21:27,960 Speaker 1: is flowing through the turbine, because that determines how efficient 387 00:21:28,080 --> 00:21:30,840 Speaker 1: the gas turbine can be, and that is a process 388 00:21:30,880 --> 00:21:33,200 Speaker 1: that again takes years of work. They do three D 389 00:21:33,320 --> 00:21:36,040 Speaker 1: printing off metal parts to be able to test them out, 390 00:21:36,160 --> 00:21:38,080 Speaker 1: and that's the section they didn't show me. Now. 391 00:21:38,240 --> 00:21:42,040 Speaker 2: Actually, you host this Climate Solutions podcast. Gas turbines are 392 00:21:42,080 --> 00:21:44,360 Speaker 2: both a blessing and a curse, right they are. 393 00:21:44,520 --> 00:21:46,440 Speaker 1: You know, you talked a little bit about the fact 394 00:21:46,480 --> 00:21:49,480 Speaker 1: that in Asia there is this move to go from 395 00:21:49,640 --> 00:21:53,160 Speaker 1: coal to gas, and that can be a good thing 396 00:21:53,240 --> 00:21:57,960 Speaker 1: because in total CEO two emissions, burning gas for power 397 00:21:58,000 --> 00:22:01,240 Speaker 1: produces about half the emissions. There is a downside, which 398 00:22:01,280 --> 00:22:04,480 Speaker 1: is if gas is leaking and gas has methane as 399 00:22:04,520 --> 00:22:09,160 Speaker 1: its main component, that can cause sometimes gas to become 400 00:22:09,160 --> 00:22:11,399 Speaker 1: worse than coal because this methane will end up in 401 00:22:11,440 --> 00:22:15,600 Speaker 1: the atmosphere. It'll heat up ton for ton the planet 402 00:22:15,720 --> 00:22:18,439 Speaker 1: about eighty times as much, and that's not good. But 403 00:22:18,520 --> 00:22:20,920 Speaker 1: if you can keep the leaks to a bare minimum 404 00:22:21,040 --> 00:22:24,720 Speaker 1: or eliminate them altogether, then you are really getting the 405 00:22:24,760 --> 00:22:27,439 Speaker 1: benefit of half the emissions for the same amount of power. 406 00:22:27,920 --> 00:22:31,000 Speaker 1: There's also the curse side, which is once you build 407 00:22:31,080 --> 00:22:34,639 Speaker 1: a large gas power plant, and this can be you know, 408 00:22:34,960 --> 00:22:38,840 Speaker 1: billion to billion dollars worth of investment. You as a 409 00:22:38,880 --> 00:22:41,520 Speaker 1: power company, you as a utility that has ordered a 410 00:22:41,560 --> 00:22:44,320 Speaker 1: power company to make it for you are going to 411 00:22:44,440 --> 00:22:47,600 Speaker 1: use it, so it is sunk cost. It is an 412 00:22:47,680 --> 00:22:50,600 Speaker 1: asset that will have to run its life to make 413 00:22:50,640 --> 00:22:53,760 Speaker 1: sure the returns have been made. And that means there 414 00:22:53,840 --> 00:22:55,880 Speaker 1: is a lock in that could come from building all 415 00:22:55,880 --> 00:22:58,880 Speaker 1: these gas turbines even if the coal to gas switching 416 00:22:59,119 --> 00:23:03,760 Speaker 1: is happening. And then the curse side also extends into 417 00:23:03,880 --> 00:23:07,439 Speaker 1: what is happening with the AI boom where they really 418 00:23:07,480 --> 00:23:11,359 Speaker 1: don't care where the power is coming from, and the 419 00:23:11,440 --> 00:23:13,800 Speaker 1: data center people are ready to build whatever they can 420 00:23:13,880 --> 00:23:16,879 Speaker 1: get their hands on. So in a classical case, we 421 00:23:17,000 --> 00:23:20,600 Speaker 1: had XAI, which is the company that Elon Musk runs, 422 00:23:20,920 --> 00:23:23,400 Speaker 1: build a data center where they couldn't get a large 423 00:23:23,400 --> 00:23:26,639 Speaker 1: gas turbine, so they ended up buying tons of small 424 00:23:26,680 --> 00:23:29,920 Speaker 1: gas turbines which do not have a combined cycle, which 425 00:23:30,200 --> 00:23:33,119 Speaker 1: burn all this gas, which cause all these methane emissions, 426 00:23:33,280 --> 00:23:35,879 Speaker 1: but also all these carbon dioxide emissions, and do it 427 00:23:35,920 --> 00:23:39,840 Speaker 1: in a very inefficient way. And that side is tough, 428 00:23:41,000 --> 00:23:42,960 Speaker 1: but there could be a blessing, which is we have 429 00:23:43,080 --> 00:23:47,520 Speaker 1: heard from experts who say that if gasturbine shortage exists, 430 00:23:47,720 --> 00:23:50,240 Speaker 1: then more and more of these AI data center companies 431 00:23:50,320 --> 00:23:53,159 Speaker 1: will have to look at renewables and storage and somehow 432 00:23:53,160 --> 00:23:55,560 Speaker 1: find a way to make it work, and that could 433 00:23:55,560 --> 00:23:58,840 Speaker 1: create a boom for renewables, especially in the US where 434 00:23:58,960 --> 00:24:01,399 Speaker 1: the federal government is right now trying to curtail a 435 00:24:01,400 --> 00:24:04,600 Speaker 1: lot of the renewables development through cutting off subsidies, but 436 00:24:04,680 --> 00:24:05,680 Speaker 1: also other problems. 437 00:24:05,960 --> 00:24:08,159 Speaker 2: I mean, but there's just something I have to ask you. 438 00:24:08,320 --> 00:24:10,960 Speaker 2: If if there's a shortage in turbines and you can't 439 00:24:11,160 --> 00:24:14,200 Speaker 2: build power plants, or if the power plants cost too much, 440 00:24:14,400 --> 00:24:17,120 Speaker 2: won't that make companies just look to renewables instead? 441 00:24:17,520 --> 00:24:20,000 Speaker 1: It is I mean, we looked at the cost of 442 00:24:20,119 --> 00:24:23,400 Speaker 1: these gas power plants from next Energy, which is one 443 00:24:23,400 --> 00:24:26,280 Speaker 1: of the biggest utilities in the US. We got an estimate. 444 00:24:26,640 --> 00:24:29,840 Speaker 1: They said that a combined cycle gas power plant used 445 00:24:29,880 --> 00:24:32,800 Speaker 1: to cost about eight hundred dollars a KILLOWOT in twenty 446 00:24:32,840 --> 00:24:36,600 Speaker 1: twenty one. Today that cost is about two thousand, six 447 00:24:36,720 --> 00:24:39,920 Speaker 1: hundred dollars to two thousand, eight hundred dollars a killo VOT. 448 00:24:40,400 --> 00:24:44,080 Speaker 1: And the kicker is that next Era CEO John Ketchum 449 00:24:44,119 --> 00:24:46,880 Speaker 1: said gas fire power plants in the US will come 450 00:24:46,920 --> 00:24:51,480 Speaker 1: online at a higher cost than renewables plus battery storage, 451 00:24:51,800 --> 00:24:55,520 Speaker 1: and so we will see AI data center companies turn 452 00:24:56,200 --> 00:25:00,359 Speaker 1: to renewables plus storage. But we also know currently battery 453 00:25:00,359 --> 00:25:03,800 Speaker 1: storage cannot do all the things that gas turbines can do. 454 00:25:04,359 --> 00:25:07,440 Speaker 1: So gas turbines provide something called inertia, which is something 455 00:25:07,440 --> 00:25:11,199 Speaker 1: we've discussed in this series in bottlenecks before, where just 456 00:25:11,280 --> 00:25:15,120 Speaker 1: a spinning mass is necessary to keep the frequency and 457 00:25:15,280 --> 00:25:18,840 Speaker 1: the voltage stable on the grid, we can find devices 458 00:25:18,920 --> 00:25:21,840 Speaker 1: like a synchronous compensator which does the turning, doesn't burn 459 00:25:21,920 --> 00:25:25,720 Speaker 1: any gas, but you need that extra device to provide 460 00:25:25,760 --> 00:25:28,520 Speaker 1: that inertia. Batteries may be able to do it at 461 00:25:28,520 --> 00:25:33,240 Speaker 1: some point, but they can't always, or utilities aren't trusting 462 00:25:33,400 --> 00:25:37,240 Speaker 1: of batteries to do that just yet. Plus batteries still 463 00:25:37,280 --> 00:25:39,680 Speaker 1: remain pretty expensive, so you might be able to cover 464 00:25:39,880 --> 00:25:43,439 Speaker 1: two hours, four hours, or even eight hours of gap 465 00:25:43,560 --> 00:25:46,400 Speaker 1: between not having enough sun and not having enough wind, 466 00:25:46,920 --> 00:25:50,040 Speaker 1: but gas power can cover you twenty four to seven 467 00:25:50,440 --> 00:25:53,280 Speaker 1: at a stable rate, So it's not a perfect one 468 00:25:53,320 --> 00:25:56,640 Speaker 1: to one, and yet sure companies will turn to renewables, 469 00:25:56,680 --> 00:26:00,679 Speaker 1: but not enough. So then coming to the side off 470 00:26:01,200 --> 00:26:05,280 Speaker 1: the blessing, there was this move in Asia to convert 471 00:26:05,320 --> 00:26:09,159 Speaker 1: away from gold into gas. From your vantage point, looking 472 00:26:09,240 --> 00:26:14,000 Speaker 1: at this region, what are examples where this turbine shortage 473 00:26:14,160 --> 00:26:16,840 Speaker 1: is actually holding back this switching from happening. 474 00:26:17,800 --> 00:26:20,560 Speaker 2: You know, I think one country that I looked at 475 00:26:20,640 --> 00:26:24,640 Speaker 2: very closely for this story is Vietnam. Vietnam has these 476 00:26:24,800 --> 00:26:27,880 Speaker 2: huge plants. They want to basically double their power capacity 477 00:26:27,920 --> 00:26:30,199 Speaker 2: by twenty thirty. This isn't an Ai story. This is 478 00:26:30,280 --> 00:26:34,359 Speaker 2: just a developing country. They've got industry people, it's growing 479 00:26:34,359 --> 00:26:38,160 Speaker 2: at a rapid pace, so they need a lot of energy. Now, 480 00:26:38,200 --> 00:26:40,439 Speaker 2: a large part of that will come from renewables, but 481 00:26:40,520 --> 00:26:43,320 Speaker 2: they also want to add potentially thirty gigatts of gas 482 00:26:43,320 --> 00:26:48,080 Speaker 2: fire generation. That's like twenty two new at least gas 483 00:26:48,119 --> 00:26:52,639 Speaker 2: power plants by twenty thirty. Now, I surveyed every developer 484 00:26:52,680 --> 00:26:56,680 Speaker 2: of these projects, and through that and through different analysis 485 00:26:56,760 --> 00:27:00,760 Speaker 2: of what's been publicly released by utilities, only think one 486 00:27:00,800 --> 00:27:04,080 Speaker 2: of those power plants has secured a gas turbine, and 487 00:27:04,119 --> 00:27:06,040 Speaker 2: that power plant's going to come online at the end 488 00:27:06,359 --> 00:27:09,680 Speaker 2: of this decade. Now, the issue with that is if 489 00:27:09,800 --> 00:27:14,000 Speaker 2: Vietnam can't get these power plants online, they either face 490 00:27:14,400 --> 00:27:18,119 Speaker 2: energy shortages, which they clearly don't want or they double 491 00:27:18,160 --> 00:27:21,280 Speaker 2: down back on coal, which is something that is a 492 00:27:21,280 --> 00:27:24,440 Speaker 2: big risk and could happen if they don't have other 493 00:27:24,480 --> 00:27:29,320 Speaker 2: options available to them. That's specifically an issue for the 494 00:27:29,320 --> 00:27:32,760 Speaker 2: emerging world where you can't, like you've been describing, quickly 495 00:27:32,880 --> 00:27:37,400 Speaker 2: ramp up renewables and batteries. It's just not economically feasible. 496 00:27:37,400 --> 00:27:41,200 Speaker 2: And also their demand is just constantly growing and growing. 497 00:27:41,240 --> 00:27:44,320 Speaker 2: They need large power plants to be on the grid 498 00:27:44,520 --> 00:27:46,600 Speaker 2: be providing power around the clock. 499 00:27:47,240 --> 00:27:49,840 Speaker 1: So far, we've looked at the fact that we've gone 500 00:27:49,840 --> 00:27:54,000 Speaker 1: from high gas price to actually having gas turbine shortages. 501 00:27:54,160 --> 00:27:56,560 Speaker 1: There is a combination in the West of AI data 502 00:27:56,600 --> 00:28:00,800 Speaker 1: centers and there is this need in the East switching 503 00:28:00,840 --> 00:28:05,000 Speaker 1: from gold to gas that is causing the demand for 504 00:28:05,040 --> 00:28:09,200 Speaker 1: gas turbines to spike. We've also seen these three companies 505 00:28:09,200 --> 00:28:12,880 Speaker 1: Semens Energy, g Vernova and Mitsubushi Heavy that we've reported 506 00:28:12,920 --> 00:28:16,560 Speaker 1: on that they are looking to expand the capacity of 507 00:28:16,600 --> 00:28:19,639 Speaker 1: their manufacturing but not really build new factories. So the 508 00:28:19,680 --> 00:28:21,600 Speaker 1: expansion is not going to happen at the pace at 509 00:28:21,600 --> 00:28:25,600 Speaker 1: which the demand is growing. But let's look at the 510 00:28:25,640 --> 00:28:30,359 Speaker 1: next decade. What does the supply and demand outlook look like. 511 00:28:30,640 --> 00:28:33,320 Speaker 2: Right now? Demand for this year is looking to shape 512 00:28:33,400 --> 00:28:38,880 Speaker 2: up to over sixty gigawatts of orders for new turbines. Now, 513 00:28:39,000 --> 00:28:42,040 Speaker 2: that's a really important number and threshold because according to 514 00:28:42,080 --> 00:28:46,800 Speaker 2: some analysts, that's the capacity of global production. So that's 515 00:28:46,800 --> 00:28:49,200 Speaker 2: the annual production of what the world can produce for 516 00:28:49,360 --> 00:28:52,479 Speaker 2: new turbines. We're going to be at that level or 517 00:28:52,560 --> 00:28:55,520 Speaker 2: over it this year, and then from twenty twenty six, 518 00:28:55,600 --> 00:28:58,080 Speaker 2: twenty twenty seven, twenty twenty eight and onwards at least 519 00:28:58,080 --> 00:29:00,680 Speaker 2: through twenty thirty or beyond were to be above that 520 00:29:00,800 --> 00:29:04,120 Speaker 2: level every year. And so the current capacity of where 521 00:29:04,160 --> 00:29:07,520 Speaker 2: we are, you just can't build that much, which means 522 00:29:07,560 --> 00:29:10,080 Speaker 2: that there will be a number of power plants dozens 523 00:29:10,120 --> 00:29:13,360 Speaker 2: and dozens of gigawatts of capacity that is either planned 524 00:29:13,400 --> 00:29:15,640 Speaker 2: or in pre construction level will not be able to 525 00:29:15,680 --> 00:29:18,880 Speaker 2: get their turbine on time or at all. In some cases, 526 00:29:18,920 --> 00:29:20,920 Speaker 2: if you look at the emerging world, how can you 527 00:29:20,960 --> 00:29:24,480 Speaker 2: even compete and try to build a project if it 528 00:29:24,560 --> 00:29:27,840 Speaker 2: is multiple times more expensive than it was a few 529 00:29:27,920 --> 00:29:31,600 Speaker 2: years ago. So that's the situation, and one of the 530 00:29:31,600 --> 00:29:35,200 Speaker 2: outcomes of that could very well be there are some 531 00:29:35,240 --> 00:29:38,120 Speaker 2: countries that can afford to build gas fire power plants 532 00:29:38,120 --> 00:29:39,760 Speaker 2: and there are others that cannot. 533 00:29:40,600 --> 00:29:40,719 Speaker 1: Now. 534 00:29:40,800 --> 00:29:43,760 Speaker 2: The industry, of course, like you said, is responding. So 535 00:29:43,800 --> 00:29:47,880 Speaker 2: we're seeing GeV Vernova looking to expand their capacity. One 536 00:29:47,920 --> 00:29:51,000 Speaker 2: analyst says that they could increase by thirty percent over 537 00:29:51,040 --> 00:29:53,440 Speaker 2: the next few years. It's be she heavy told us 538 00:29:53,440 --> 00:29:56,040 Speaker 2: that they're looking to double their capacity over in the 539 00:29:56,080 --> 00:29:59,160 Speaker 2: next several years as well. Siemens has some plans. I 540 00:29:59,200 --> 00:30:00,800 Speaker 2: know they were a little bit care with you when 541 00:30:00,800 --> 00:30:04,000 Speaker 2: you spoke with them, but they're also, according to analysts, 542 00:30:04,040 --> 00:30:07,520 Speaker 2: looking to expand. But even with that expansion, analysts are 543 00:30:07,560 --> 00:30:09,120 Speaker 2: saying that we're not going to be able to meet 544 00:30:09,240 --> 00:30:11,640 Speaker 2: the orders that are being given. And on top of that, 545 00:30:11,720 --> 00:30:14,680 Speaker 2: there's an interesting thing happening. Those are just orders, right, 546 00:30:14,680 --> 00:30:18,240 Speaker 2: those are binding contracts. There's another thing where people are 547 00:30:18,240 --> 00:30:22,400 Speaker 2: making they're putting five, ten percent, twenty percent down to 548 00:30:22,760 --> 00:30:25,960 Speaker 2: basically reserve a turbine and we're not even counting that. 549 00:30:26,240 --> 00:30:29,440 Speaker 2: And that's also playing out, and people are reserving turbines 550 00:30:29,720 --> 00:30:31,880 Speaker 2: so much. It wasn't something that was happening a few 551 00:30:31,920 --> 00:30:34,760 Speaker 2: years ago, but it's something that happened in two thousand. 552 00:30:35,160 --> 00:30:38,560 Speaker 2: When there was that first boom two decades ago, people 553 00:30:38,640 --> 00:30:41,680 Speaker 2: were reserving and kind of trading those slots, and you're 554 00:30:41,680 --> 00:30:42,720 Speaker 2: seeing that emerge again. 555 00:30:43,440 --> 00:30:47,160 Speaker 1: These slots can be millions of dollars worth of slots 556 00:30:47,160 --> 00:30:50,880 Speaker 1: that companies are just ready to pay upfront for access 557 00:30:50,880 --> 00:30:53,520 Speaker 1: to a turbine that may or may not come by 558 00:30:53,560 --> 00:30:56,760 Speaker 1: twenty thirty or even beyond that. It's kind of stunning 559 00:30:57,000 --> 00:30:59,680 Speaker 1: what could be a curveball in this supplied amount of 560 00:30:59,680 --> 00:31:03,120 Speaker 1: outlat It's already looking pretty strained. 561 00:31:03,200 --> 00:31:07,600 Speaker 2: It is, and I think China, unfortunately, is potentially that curveball. 562 00:31:07,680 --> 00:31:10,960 Speaker 2: It is one of the pressure points that if China 563 00:31:11,080 --> 00:31:13,880 Speaker 2: wants to suddenly build a lot of gas fire power plants, 564 00:31:14,120 --> 00:31:17,200 Speaker 2: then you could be in a situation where the global 565 00:31:17,240 --> 00:31:21,360 Speaker 2: supply chain is even more strained. Now it isn't guaranteed 566 00:31:21,400 --> 00:31:24,040 Speaker 2: at the moment, but there was an outline by some 567 00:31:24,120 --> 00:31:27,400 Speaker 2: domestic energy producers that they want to push in the 568 00:31:27,440 --> 00:31:30,000 Speaker 2: next five year plan that's coming out next year to 569 00:31:30,720 --> 00:31:34,600 Speaker 2: basically sanction construction about seventy gigawatts of new gas fire 570 00:31:34,680 --> 00:31:37,120 Speaker 2: capacity by the end of the decade in China. Now, 571 00:31:37,520 --> 00:31:41,080 Speaker 2: China doesn't have really their own large scale turbines. They 572 00:31:41,080 --> 00:31:44,440 Speaker 2: still depend on giv Veranova and folks like Mitsubishi Heavy. 573 00:31:44,720 --> 00:31:47,000 Speaker 2: So if China comes in big and suddenly decides, hey, 574 00:31:47,040 --> 00:31:49,240 Speaker 2: we want to shift away on our power grid from 575 00:31:49,280 --> 00:31:51,960 Speaker 2: coal to a degree and really go harder into gas, 576 00:31:52,720 --> 00:31:55,560 Speaker 2: then and they have the money in the capacity to 577 00:31:55,600 --> 00:31:59,560 Speaker 2: do that, then they might suddenly also start reserving slots 578 00:32:00,120 --> 00:32:02,560 Speaker 2: or buying a lot of turbines. I think one other 579 00:32:03,320 --> 00:32:06,240 Speaker 2: thing is the Middle East, which we haven't mentioned yet, 580 00:32:06,280 --> 00:32:10,200 Speaker 2: but Saudi Arabia is planning over twenty gigawatts of new 581 00:32:10,560 --> 00:32:14,480 Speaker 2: capacity editions by twenty thirty. I heard anecdotally that they're 582 00:32:14,560 --> 00:32:17,960 Speaker 2: essentially paying any price to get their turbines because they 583 00:32:18,000 --> 00:32:19,680 Speaker 2: have the money to do that, and they want to 584 00:32:19,720 --> 00:32:22,440 Speaker 2: get basically get away from oil, which makes up half 585 00:32:22,440 --> 00:32:24,800 Speaker 2: of their power grid by the end of the decade. 586 00:32:25,200 --> 00:32:28,880 Speaker 1: Let's take one last climate question, because on gas turbines 587 00:32:29,240 --> 00:32:32,760 Speaker 1: it's a complicated story. There was this talk about natural 588 00:32:32,760 --> 00:32:35,800 Speaker 1: gas at one point being the transition fuel. It was 589 00:32:35,840 --> 00:32:39,040 Speaker 1: this time when renewables were still pretty expensive. They were 590 00:32:39,080 --> 00:32:41,280 Speaker 1: coming down in price, but nobody knew if they could 591 00:32:41,320 --> 00:32:43,480 Speaker 1: fall as far as they have fallen now, and so 592 00:32:43,560 --> 00:32:46,600 Speaker 1: people thought, okay, well, goal is too bad. Let's move 593 00:32:46,600 --> 00:32:49,280 Speaker 1: to natural gas. It'll provide this lower emission fuel. As 594 00:32:49,280 --> 00:32:53,720 Speaker 1: we get to absolutely clean renewables, that talk of transition 595 00:32:53,880 --> 00:32:57,600 Speaker 1: fuel is coming back. Now it's been called the bridge 596 00:32:57,600 --> 00:32:59,880 Speaker 1: fuel again. What do you make of this? 597 00:33:00,360 --> 00:33:02,240 Speaker 2: I write a lot about the industry, and they've been 598 00:33:02,320 --> 00:33:05,000 Speaker 2: they've always been calling it a bridge fuel. And what 599 00:33:05,040 --> 00:33:06,960 Speaker 2: they're doing is they're actually doubling it down and they're 600 00:33:06,960 --> 00:33:09,400 Speaker 2: saying it's the destination. So they're not having saying a 601 00:33:09,400 --> 00:33:11,880 Speaker 2: bridge or temporary. They're saying it's a destination. So if 602 00:33:11,920 --> 00:33:14,240 Speaker 2: the industry gets what they want, then these gas plants 603 00:33:14,240 --> 00:33:16,960 Speaker 2: are going to be operating well past the middle of 604 00:33:17,000 --> 00:33:20,400 Speaker 2: the century. I think the key thing about the climate 605 00:33:20,840 --> 00:33:23,800 Speaker 2: is that, yes, building a gas power plant if you're 606 00:33:23,840 --> 00:33:26,440 Speaker 2: able to shift away from coal and use it as 607 00:33:26,440 --> 00:33:30,520 Speaker 2: a peaker plant to compliment intermittent renewables, so you're not 608 00:33:30,640 --> 00:33:33,200 Speaker 2: using it at you know, eighty percent ninety percent capacity 609 00:33:33,480 --> 00:33:37,160 Speaker 2: and definitely and you're slowly ramping down that output, and 610 00:33:37,200 --> 00:33:39,480 Speaker 2: you're using that generation just when you need it, either 611 00:33:39,680 --> 00:33:43,000 Speaker 2: at at night or when there's you know, heat in Vietnam, 612 00:33:43,240 --> 00:33:46,520 Speaker 2: or if if you need inertia on the grid. But 613 00:33:46,600 --> 00:33:48,760 Speaker 2: if you're building it and you're using it like a 614 00:33:48,800 --> 00:33:51,240 Speaker 2: coal plant, where you're using it as a base load 615 00:33:51,520 --> 00:33:53,680 Speaker 2: around the clock. You're never reducing it. You're going to 616 00:33:53,800 --> 00:33:55,600 Speaker 2: use it because you need to. You spend all this 617 00:33:55,680 --> 00:33:57,080 Speaker 2: money on it, and you're going to use it to 618 00:33:57,080 --> 00:34:00,240 Speaker 2: twenty fifty to twenty sixty and beyond. That's when the 619 00:34:00,400 --> 00:34:02,840 Speaker 2: argument of the bridge fuel starts to fall apart and 620 00:34:02,880 --> 00:34:06,640 Speaker 2: the argument of the destination kind of takes over. So 621 00:34:06,680 --> 00:34:09,280 Speaker 2: I think that's the slippery slope in the climate debate 622 00:34:09,320 --> 00:34:09,759 Speaker 2: for this. 623 00:34:10,160 --> 00:34:12,120 Speaker 1: And we're going to start to see that debate play 624 00:34:12,120 --> 00:34:14,200 Speaker 1: out here in the UK. They're planning to get to 625 00:34:14,440 --> 00:34:17,240 Speaker 1: in ninety five percent clean power grid by twenty thirty, 626 00:34:17,600 --> 00:34:19,960 Speaker 1: and in that plan, they are going to increase gas 627 00:34:20,320 --> 00:34:23,600 Speaker 1: power capacity but reduce the amount of gas that is 628 00:34:23,640 --> 00:34:26,160 Speaker 1: being burned exactly by using it in the climate friendly 629 00:34:26,200 --> 00:34:29,319 Speaker 1: ways you suggest. And then we'll see countries like the 630 00:34:29,440 --> 00:34:33,680 Speaker 1: US or Vietnam to tell us the counterpoint of what 631 00:34:33,800 --> 00:34:36,880 Speaker 1: the climate cost of gas could be. This was a 632 00:34:36,920 --> 00:34:39,560 Speaker 1: great story to work on together, Steven. Thank you for 633 00:34:39,640 --> 00:34:42,360 Speaker 1: your insights from Asia, and thanks also to our colleague 634 00:34:42,520 --> 00:34:46,120 Speaker 1: Josh Saul for reporting in the US. Thank you for 635 00:34:46,160 --> 00:34:54,160 Speaker 1: having me, and thank you for listening to zero Now 636 00:34:54,200 --> 00:35:07,120 Speaker 1: for the sound of the week. That's the sound of 637 00:35:07,200 --> 00:35:10,960 Speaker 1: a Pine Martin. The species was almost hunted to extinction 638 00:35:11,000 --> 00:35:13,800 Speaker 1: in the UK, but is now making a comeback thanks 639 00:35:13,800 --> 00:35:17,799 Speaker 1: to successful reintroduction efforts across England, Wales and Scotland over 640 00:35:17,840 --> 00:35:21,160 Speaker 1: the last decade. If you like this episode, please take 641 00:35:21,200 --> 00:35:22,959 Speaker 1: a moment to rate and review the show on Apple 642 00:35:23,000 --> 00:35:26,360 Speaker 1: Podcasts and Spotify. Share this episode with a friend or 643 00:35:26,400 --> 00:35:29,920 Speaker 1: with someone who is good at keeping secrets. This episode 644 00:35:29,960 --> 00:35:32,920 Speaker 1: was produced by Oscar boyd Our. Theme music is composed 645 00:35:32,920 --> 00:35:38,160 Speaker 1: by Wonderly Special Thanks to Josh soul Nicholas Takahashi, David Stringer, 646 00:35:38,400 --> 00:35:44,160 Speaker 1: Emily Buzzo, Jody Maxin, somnadbad Somarsadi, Moses Andam, Laura Milan 647 00:35:44,360 --> 00:35:47,479 Speaker 1: and Sharon Chan i'm Akshadarrati Back soon