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“I pulled the data for the past 18 years, and it’s almost off the charts.”
Air pollution in New York and across the eastern United States, driven by an outbreak of wildfires across Quebec and Nova Scotia, has reached the worst level since 2005, when modern records began, according to a Stanford economist.
“I pulled the data for the past 18 years, and it’s almost off the charts,” Marshall Burke, an economist who specializes in climate change and an associate professor at the Stanford Doerr School of Sustainability, told me.
Surveying the dangerous haze that stretched across the country on Tuesday, he said it could conceivably be one of the worst days for air pollution even before the 2000s. Rarely have so many people been exposed to so much particulate matter, or PM2.5, a toxic haze of microscopic soot and ash that is linked to early death and can penetrate the blood-brain barrier. (It’s called PM2.5 because it measures 2.5 or fewer microns across.)
New York City’s air pollution index — which spiked to more than 200 on Tuesday, a level considered “very unhealthy” for all groups — was comparable to a “pretty bad event that we’d get on the West Coast,” he said. But it is unheard of for such toxic air to afflict such a densely populated part of the country. In the late evening, New York briefly had the worst air quality of any city on Earth, beating Delhi, India, and Doha, Qatar.
Burke has published widely on climate change’s costs, studying how rising temperatures might affect crop yields, suicide, and the outbreak of wars. But on Tuesday evening, he said that the economic impacts of wildfires — and their voluminous smoke output — might be one of the biggest unknown dangers of climate. Our conversation also touched on the heinous health effects of wildfire smoke, especially for women and children. It has been edited and condensed for clarity and readability.
That’s a great question. We’ll have to see how long it lasts. A lot of the West in 2020 — really, in California — basically had what you guys are having but for a month. Sometimes it wasn’t quite as acute, but often we got days and days of stuff about as bad as what you guys are having. So I think it’s a hopefully very short-run vision of what some of the rest of the country has dealt with.
But the important part here is the number of people getting exposed. You get days in the West where, like, Missoula, Montana, is hit pretty hard. Or in the 2020 event, we had parts of California get hit pretty hard for weeks. But today we’re talking about the most populated parts of the country just getting hammered. So in that sense, it’s pretty anomalous — it’s different from the Western events where you have unpopulated areas getting dosed.
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People have been studying the health impacts of wildfire smoke for a while — and it’s interesting. You would think we would have a pretty precise answer, but we still don't have a great one.
That’s mainly because these levels of air pollution are so high they induce some weird behaviors. So people actually notice the smoke, and they respond in a way that shapes health outcomes.
So you see some things you would expect. Respiratory hospitalizations or emergency department visits go way up — that’s been shown by a lot of groups. And that’s caused by asthma, that’s COPD, that’s bad stuff.
But other stuff changes — car wrecks go down, there are fewer fractures, people don’t break their legs playing soccer. Basically, what economists would call avoidance behavior pushes back in the other direction pretty substantially. So on really bad days, it’s this funny mix of worsened respiratory outcomes and declines in other, “non-smoke-related” visits.
That said, there are demonstrable negative health impacts for vulnerable groups. And all the research suggests we should draw the circle wider and wider in terms of what we call “vulnerable groups.”
Any pregnant moms — if my wife or anyone I knew was pregnant right now — I would be texting them to stay inside and sit by an air filter. We see very large impacts on preterm birth for moms who are exposed while their kids were in utero. Like I said, my daughter has asthma, so on days like this, she gets to blow it out on the iPad sitting next to the air filter.
So part of the story is not nuanced. If you’re a vulnerable group, it’s a good time to protect yourself.
There is also an ongoing debate about whether wildfire-sourced PM2.5 is better, worse, or the same as PM2.5 from fossil fuel combustion. Some early evidence suggests it’s maybe a lot worse for respiratory function — I’m not fully convinced myself but it could be true. We see a lot of nasty stuff in wildfire smoke. We see heavy metals that get aerosolized, all this stuff that’s in your sink when houses burn, that gets aerosolized. But I think broadly, the PM2.5 literature is a good guide for what’s happening.
For me, it's so important to mention the backdrop, which is just this remarkable policy success in improving air quality. And it was driven by bipartisan public policy that was really good and really worked. You can look at papers on this: You just don’t get bad air-pollution days anymore on the East Coast. They’re gone. They just don’t exist.
Yeah, the Clean Air Act, exactly. And that is being so quickly undone in the West by wildfires. Less so in the East — we saw fingerprints of it last year — but this is going to be a big event, and it’s going to change our estimates a lot. So this really nice progress that we had made is just being rapidly eroded now, and I thought that was just a West Coast story, but maybe now it’s happening in the East too.
Now, I don’t think this is going to happen every year for you guys on the East Coast. I don’t think the data suggests that yet. But it’s not going to happen never — it’s going to be more common.
They were never going to originate in the East Coast, almost surely. Wildfire smoke might affect the East Coast, but it was going to come from somewhere else.
Exactly. And I think honestly that’s what you should still expect. Although the forecast for the next couple of days suggests there’s pretty high fire risk across a bunch of the Northeast, so it’s not out of the question. We could see some starts in the Northeast that could contribute to the smoke, but certainly that's not the case right now.
I think that the modal case is going to be one that looks a lot more like what we’re seeing today, where you get big Canadian fires blowing in. But that just makes the air-pollution problem harder, because now we have a transboundary problem.
So what do we do? Do we sue the Canadians? Do we buy them off?
The way I think about it is that the Clean Air Act was built on one main fact, which is that local pollution concentrations depend on local emissions. So if you regulate local emissions, you improve local air quality. And that worked really well for a while.
But that logic no longer holds. Look at the Canadian fires — number one, it's not a point source, and number two, it doesn't stay locally. We’re not equipped to deal with this, and we have dug ourselves a massive hole in terms of a century of putting out fires that have just made this problem a monster.
My pitch for a while on the West Coast has been that wildfire smoke is going to be one of the main — if not the main way — we encounter climate change viscerally. I'm sure it’s going to get hot, but these episodic events that sit with us and really disrupt our activity, this is going to be one of the most widespread ways we encounter it.
But I would not have told that story for you guys on the East Coast. And this is still one very historic event, so I’m not ready to tell that story, but I’m going to draw the boundary a little wider next time I give a talk on this.
That’s exactly right. None of the existing monetized economic costs of climate change — like when we come up with the social cost of carbon or any of that stuff — wildfires are not in there at all. So this is fully un-costed in all the sort of headline climate-change cost numbers that we have.
Certainly, folks are making the links, and if you read the National Climate Assessment then wildfires are in there, but in terms of monetizing the cost, you're 100% right. We have not done that. Honestly, this is a big push in my groups to try to do it back to that, try to monetize these, and I think they're going to be really big.
When we've done back of the envelope estimates, they suggest the costs are at least as large as heat, potentially. Especially if we get more events like the one today.
The effects go beyond that too. There are all these papers now that show cognitive decline when exposed to air pollution and wildfire smoke. We can look at test-score data and in smokier years, kids do worse on tests. The effects are individually small, but you add them up across schools and across counties and they get pretty big.
The question is, is there catchup, right? In terms of learning losses, we would have to follow people for longer than we’re able to right now. But they certainly last within the year. So if I’m exposed in September, and I take a test in April, I can still see the effects of the wildfire.
We see that in our data. Now, we can’t nail the cognitive channel [as being at fault here] — like, it could be because you didn't go to school. But mostly schools don't close during smoke events, and so it’s consistent with the cognitive channel. But maybe the next year you learn what you missed and, you know, we can’t rule that out.
I think the more proven long-term outcomes is the relationship between in utero exposure and later-in-life outcomes. That’s been shown for other air pollutants, and I don’t think there’s any reason to think it’s not true for wildfire as well. In-utero exposure has this lifelong, negative imprint, including on earnings and cognitive function.
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On prepurchase agreements, Al Gore, and Norway’s EVs
Current conditions: Ecuador’s government-enforced blackouts will begin tomorrow night as drought threatens hydroelectric plants • Storm Boris is causing flooding in parts of Italy • Montana could see very heavy rainfall and flash flooding today.
Frontier, a coalition of carbon removal buyers, announced this morning a fourth round of prepurchase agreements, worth $4.5 million. The coalition facilitated agreements with nine suppliers to remove carbon from the atmosphere on behalf of five of Frontier’s buyers: Stripe, Shopify, Alphabet, H&M Group, and Match. The removal projects are located across six countries and utilize a range of techniques, including rock weathering, direct air capture, and ocean alkalinity enhancement. In a press release, Frontier said “a significant number of companies in this purchase cycle are integrating carbon removal into existing large-scale industries. This strategy can reduce costs and accelerate scale-up relative to standalone carbon removal projects.”
Frontier
Brazil’s worst drought on record, now in its second year, has caused water levels in the rivers that run through the Amazon to fall to historic lows, and some have even dried up entirely. One key tributary that supplies the mighty Amazon River, the Solimoes, has water levels that are 14 feet below average for the first half of September. The drought is fueling numerous large fires, many of which were started by humans but have plenty of dry vegetation to keep them going.
Plumes of wildfire smoke hang over South America.NASA
According to data from Brazil’s National Institute for Space Research, almost half of the Amazon fires are burning pristine forest. This is unusual, The New York Timesreported, and “means fighting deforestation in the Amazon is no longer enough to stop fires.” The Amazon rainforest is one of the world’s most important carbon sinks. If it collapses, it could release huge amounts of carbon into the atmosphere, exacerbating the climate crisis. Researchers with World Weather Attribution say climate change is the main driver of the Amazon’s ongoing drought. “Climate change is no longer something to worry about in the future, 10 or 20 years from now,” Greenpeace spokesperson Romulo Batista toldReuters. “It’s here and it’s here with much more force than we expected.”
A coalition of some of the world’s most prominent shipping and carrier companies is piloting the “first-ever U.S. over-the-road electrified corridor.” Participants include AIT Worldwide Logistics, DB Schenker, Maersk, Microsoft, and PepsiCo, who will drive their long-haul heavy-duty electric trucks along the I-10 corridor between L.A. and El Paso to identify pain points and share learnings in an effort to hasten the decarbonization of land freight. Terawatt Infrastructure will provide the charging infrastructure for the corridor with six of its own charging hubs. Terawatt’s website says it has 14 sites under development, four of which are expected to come online this year. Heavy-duty vehicles account for a quarter of transport-related greenhouse gas emissions in the U.S. The new coalition is supported by the global nonprofit Smart Freight Centre.
Former U.S. Vice President Al Gore’s green asset management business, Generation Investment Management, put out its eighth annual Sustainability Trends Report this week. The paper is packed full of interesting insights (both uplifting and depressing), but one stands out. It says upgrading the power grid is “the critical issue to get the energy transition moving faster in the big, developed economies.” It includes this graphic showing the cumulative backlog of renewable-energy projects wanting to connect to the grid in the U.S.:
Generation Investment Management
Gore has been doing the media rounds this week. He told the Financial Times that a Trump victory in November “would be very bad.” “Most climate activists that I know in the United States believe that the single most important near-term decision America can make with regard to climate is who is the next president. It’s a bit of a Manichaean choice.” But, he added that the energy transition was, at this point, “unstoppable.”
In case you missed it: Norway has become the first country in the world to have more electric vehicles on the road than gas-powered cars. Diesel still reigns supreme in terms of registered vehicles, but the share of fully electric cars registered is now larger than the share of cars that run on gasoline. The director of the Norwegian road federation said he expects EVs will overtake diesel cars, too, by 2026. EVs already make up the vast majority (94%!) of new vehicle sales in Norway, and could very well approach 100% sometime next year.
A recent study finds that most people have a tendency to grossly underestimate the average carbon footprint of the richest individuals in society, while overestimating the carbon footprint of the poorest individuals.
Geothermal is getting closer to the big time. Last week, Fervo Energy — arguably the country’s leading enhanced geothermal company — announced that its Utah demonstration project had achieved record production capacity. The new approach termed “enhanced geothermal,” which borrows drilling techniques and expertise from the oil and gas industry, seems poised to become a big player on America’s clean, 24/7 power grid of the future.
Why is geothermal so hot? How soon could it appear on the grid — and why does it have advantages that other zero-carbon technologies don’t? On this week’s episode of Shift Key, Rob and Jesse speak with a practitioner and an expert in the world of enhanced geothermal. Sarah Jewett is the vice president of strategy at Fervo Energy, which she joined after several years in the oil and gas industry. Wilson Ricks is a doctoral student of mechanical and aerospace engineering at Princeton University, where he studies macro-energy systems modeling. Shift Key is hosted by Robinson Meyer, the founding executive editor of Heatmap, and Jesse Jenkins, a professor of energy systems engineering at Princeton University.
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Here is an excerpt from our conversation:
Robinson Meyer: I just wanted to hit a different note here, which is, Sarah, you’ve alluded a few times to your past in the oil and gas industry. I think this is true across Fervo, is that of course, the technologies we’re discussing here are fracking derived. What has your background in the oil and gas industry and hydrocarbons taught you that you think about at Fervo now, and developing geothermal as a resource?
Sarah Jewett: There are so many things. I mean, I’m thinking about my time in the oil and gas industry daily. And you’re exactly right, I think today about 60% of Fervo’s employees come from the oil and gas industry. And because we are only just about to start construction on our first power facility, the percentage of contractors and field workers from the oil and gas industry is much higher than 60%.
Jesse Jenkins: Right, you can’t go and hire a bunch of people with geothermal experience when there is no large-scale geothermal industry to pull from.
Jewett: That’s right. That’s right. And so the oil and gas industry, I think, has taught us, so many different types of things. I mean, we can’t really exist without thinking about the history of the oil and gas industry — even, you know, Wilson and I are sort of comparing our learning rates to learning rates observed in various different oil and gas basins by different operators, so you can see a lot of prior technological pathways.
I mean, first off, we’re just using off the shelf technology that has been proven and tested in the oil and gas industry over the last 25 years, which has been, really, the reason why geothermal is able to have this big new unlock, because we’re using all of this off the shelf technology that now exists. It’s not like the early 2000s, where there was a single bit we could have tried. Now there are a ton of different bits that are available to us that we can try and say, how is this working? How is this working? How’s this working?
So I think, from a technological perspective, it’s helpful. And then from just an industry that has set a solid example it’s been really helpful, and that can be leveraged in a number of different ways. Learning rates, for example; how to set up supply chains in remote areas, for example; how to engage with and interact with communities. I think we’ve seen examples of oil and gas doing that well and doing it poorly. And I’ve gotten to observe firsthand the oil and gas industry doing it well and doing it poorly.
And so I’ve gotten to learn a lot about how we need to treat those around us, explain to them what it is that we’re doing, how open we need to be. And I think that has been immensely helpful as we’ve crafted the role that we’re going to play in these communities at large.
Wilson Ricks: I think it’s also interesting to talk about the connection to the oil and gas industry from the perspective of the political economy of the energy transition, specifically because you hear policymakers talk all the time about retraining workers from these legacy industries that, if we’re serious about decarbonizing, will unavoidably have to contract — and, you know, getting those people involved in clean energy, in these new industries.
And often that’s taking drillers and retraining some kind of very different job — or coal miners — into battery manufacturers. This is almost exactly one to one. Like Sarah said, there’s additional expertise and experience that you need to get really good at doing this in the geothermal context. But for the most part, you are taking the exact same skills and just reapplying them, and so it allows for both a potentially very smooth transition of workforces, and also it allows for scale-up of enhanced geothermal to proceed much more smoothly than it potentially would if you had to kind of train an entire workforce from scratch to just do this.
This episode of Shift Key is sponsored by …
Watershed’s climate data engine helps companies measure and reduce their emissions, turning the data they already have into an audit-ready carbon footprint backed by the latest climate science. Get the sustainability data you need in weeks, not months. Learn more at watershed.com.
As a global leader in PV and ESS solutions, Sungrow invests heavily in research and development, constantly pushing the boundaries of solar and battery inverter technology. Discover why Sungrow is the essential component of the clean energy transition by visiting sungrowpower.com.
Antenna Group helps you connect with customers, policymakers, investors, and strategic partners to influence markets and accelerate adoption. Visit antennagroup.com to learn more.
Music for Shift Key is by Adam Kromelow.
Why the new “reasoning” models might gobble up more electricity — at least in the short term
What happens when artificial intelligence takes some time to think?
The newest set of models from OpenAI, o1-mini and o1-preview, exhibit more “reasoning” than existing large language models and associated interfaces, which spit out answers to prompts almost instantaneously.
Instead, the new model will sometimes “think” for as long as a minute or two. “Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes,” OpenAI announced in a blog post last week. The company said these models perform better than their existing ones on some tasks, especially related to math and science. “This is a significant advancement and represents a new level of AI capability,” the company said.
But is it also a significant advancement in energy usage?
In the short run at least, almost certainly, as spending more time “thinking” and generating more text will require more computing power. As Erik Johannes Husom, a researcher at SINTEF Digital, a Norwegian research organization, told me, “It looks like we’re going to get another acceleration of generative AI’s carbon footprint.”
Discussion of energy use and large language models has been dominated by the gargantuan requirements for “training,” essentially running a massive set of equations through a corpus of text from the internet. This requires hardware on the scale of tens of thousands of graphical processing units and an estimated 50 gigawatt-hours of electricity to run.
Training GPT-4 cost “more than” $100 million OpenAI chief executive Sam Altman has said; the next generation models will likely cost around $1 billion, according to Anthropic chief executive Dario Amodei, a figure that might balloon to $100 billion for further generation models, according to Oracle founder Larry Ellison.
While a huge portion of these costs are hardware, the energy consumption is considerable as well. (Meta reported that when training its Llama 3 models, power would sometimes fluctuate by “tens of megawatts,” enough to power thousands of homes). It’s no wonder that OpenAI’s chief executive Sam Altman has put hundreds of millions of dollars into a fusion company.
But the models are not simply trained, they're used out in the world, generating outputs (think of what ChatGPT spits back at you). This process tends to be comparable to other common activities like streaming Netflix or using a lightbulb. This can be done with different hardware and the process is more distributed and less energy intensive.
As large language models are being developed, most computational power — and therefore most electricity — is used on training, Charlie Snell, a PhD student at University of California at Berkeley who studies artificial intelligence, told me. “For a long time training was the dominant term in computing because people weren’t using models much.” But as these models become more popular, that balance could shift.
“There will be a tipping point depending on the user load, when the total energy consumed by the inference requests is larger than the training,” said Jovan Stojkovic, a graduate student at the University of Illinois who has written about optimizing inference in large language models.
And these new reasoning models could bring that tipping point forward because of how computationally intensive they are.
“The more output a model produces, the more computations it has performed. So, long chain-of-thoughts leads to more energy consumption,” Husom of SINTEF Digital told me.
OpenAI staffers have been downright enthusiastic about the possibilities of having more time to think, seeing it as another breakthrough in artificial intelligence that could lead to subsequent breakthroughs on a range of scientific and mathematical problems. “o1 thinks for seconds, but we aim for future versions to think for hours, days, even weeks. Inference costs will be higher, but what cost would you pay for a new cancer drug? For breakthrough batteries? For a proof of the Riemann Hypothesis? AI can be more than chatbots,” OpenAI researcher Noam Brown tweeted.
But those “hours, days, even weeks” will mean more computation and “there is no doubt that the increased performance requires a lot of computation,” Husom said, along with more carbon emissions.
But Snell told me that might not be the end of the story. It’s possible that over the long term, the overall computing demands for constructing and operating large language models will remain fixed or possibly even decline.
While “the default is that as capabilities increase, demand will increase and there will be more inference,” Snell told me, “maybe we can squeeze reasoning capability into a small model ... Maybe we spend more on inference but it’s a much smaller model.”
OpenAI hints at this possibility, describing their o1-mini as “a smaller model optimized for STEM reasoning,” in contrast to other, larger models that “are pre-trained on vast datasets” and “have broad world knowledge,” which can make them “expensive and slow for real-world applications.” OpenAI is suggesting that a model can know less but think more and deliver comparable or better results to larger models — which might mean more efficient and less energy hungry large language models.
In short, thinking might use less brain power than remembering, even if you think for a very long time.