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The effort to preserve the beloved landmark from sea-level rise epitomizes an existential struggle for historic waterfronts
When San Francisco’s Ferry Plaza Farmers Market is in full Saturday swing, one way to dodge the determined foodies and casual browsers is to retreat to the plaza just 30 steps south of the Ferry Building. It sits atop three tiers of dark-veined granite, accessible by two flights of nine stairs or a ramp that ascends along the water to a trio of ferry gates that, like the plaza, were completed in 2021.
The chosen height hints at what someday might be the norm — the elevation where San Francisco’s constructed shoreline will need to be to serve as a protective buffer between the natural bay and the developed city. Here, more than any place on today’s Embarcadero, you confront the existential predicament facing the Ferry Building, nearby piers, and resurrected waterfronts in other coastal American cities: sea level rise.
According to projections that were modeled by climate scientists in 2018, San Francisco Bay faces a 66% likelihood that average daily tides will rise 40 inches by 2100, with roughly half of the increase during the next 50 years and the pace accelerating after that. The same report includes an extreme but peer-reviewed scenario where the projected increase soars to 93 inches during that same period — making grim numbers profoundly worse.
So-called king tides already arrive monthly during the winter, a natural occurrence related to the moon’s gravitational pull that can send waves washing past Pier 14 into the Embarcadero’s protected bike lane. Behind Pier 5, water swells up and over the edge of the public walkway. For now, that occasional splash of excitement is less fearsome than fun — but if current forecasts are anywhere near accurate, future generations will face a double bind.
The threat isn’t just that tides might creep upward as temperatures increase. It’s that the extreme rainfall patterns we already experience will grow more intense, those destructive storms that in recent years have introduced terms like atmospheric rivers and bomb cyclones into conversations about the weather. For instance, if daily tides are a foot higher in 2050 than they are now — the “likely” projection — a major storm could surge 36 inches beyond where it would register today.
In the case of the Embarcadero, the hypothetical one-foot rise coupled with an “intense storm” — the sort that in the past might occur every five years — would send bay waters rushing toward the roadway in a dozen locations if the storm hit when winds were brisk and the tide was high. Kick the downpour’s fervor to the scale of the bomb cyclone that hit the Bay Area in October 2021 — a day-long deluge that was the equivalent of what scientists call a 25-year storm — and the Embarcadero could be closed for nearly a mile between Folsom Street and Pier 9. Water spilling across the roadway could flow down into the BART and Muni subway beneath Market Street, potentially paralyzing both systems.
The new plaza and the elevated ferry gates might rebuke the surging tides to come, but the landmark next door would be more vulnerable than ever. The Ferry Building has ridden out many perils since opening day in 1898, from earthquakes and the onslaught of automobiles to political tumult, misguided renovations, and the wear and tear of urban life. Now it faces the implacable though seemingly far-off threat of rising waters, as if nature was determined to restore the marshes and tidal flats that long-dead San Franciscans covered and forgot.
The addition of the granite plaza is an indicator of the danger facing the icon to its north. And it’s not as if our hefty landmark with that vaulted concrete foundation can be jacked up out of harm’s way.
Or can it?
An aerial view of San Francisco’s Ferry Building and the Embarcadero.Michael Lee/Getty Images
Steven Reel headed west from Philadelphia in 1992 to earn a structural engineering degree at Stanford University because, he says now, “structural engineering means ‘earthquakes’ at Stanford, and earthquakes make structural engineering a lot more interesting.” The Bay Area was a good place to live, and local governments were investing heavily in seismic upgrades after the 1989 Loma Prieta earthquake. In 2010, Reel successfully applied for a job at the Port of San Francisco and, to his surprise, grew intrigued by the historic aspects of making an urban shoreline function in the here and now.
“I’d start studying old engineering drawings for projects and then go down the rabbit hole,” recalls Reel, an easygoing bureaucrat with a beard that approached Rasputin-like proportions during the pandemic (he since has trimmed it back). He also began to notice regional planners stressing sea level rise in meetings.
His first project at the port was Brannan Street Wharf, where two ramshackle piers midway between the Bay Bridge and the ballpark were torn out and replaced by a four-hundred-foot-long triangular green. The response to climate concerns involved a slight upward incline from the Embarcadero promenade and a concrete lip along the edge (the same move since used for the plaza near the Ferry Building).
There was another natural threat to consider — the possibility that a tremor on the scale of the Great 1906 San Francisco Earthquake could strike again. Would the Ferry Building and the seawall hold, as before? Or would the three-mile-long agglomeration of boulders and concrete give way after all this time? Reel found himself with a new job title — manager of the seawall program — and responsibilities that included a $450,000 study with consultants being told to diagnose the barrier’s health and prescribe possible remedies.
The findings, released in April 2016, answered some questions and posed a host of others.
The good news is that even with a cataclysmic earthquake, “complete failure of the seawall is unlikely.” The rocks and boulders that form a dike beneath the concrete wouldn’t scatter like marbles. The Financial District wouldn’t be sucked into the bay toward Oakland. But the combination of sandy fill atop soft mud, behind an aged barrier with thousands of potentially moving parts of varying size, is a dangerous combination. The fill was “subject to liquefaction,” the report confirmed, making it likely that the seawall could slump and lurch outward.
“A repeat of the 1906 earthquake is predicted to cause as much as $1b in damage and $1.3b in disruption costs,” the report declared. Better to strengthen the entire three-mile seawall before a disaster struck — though the cost estimates to do this were “on the order of $2 to $3 billion.” The consultants also emphasized that even with an upgraded seawall, the slow-moving threat posed by sea level rise “will necessitate intervention ... over the next 100 years.” Figure that in, and the combined price tag approached $5 billion.
The city approached voters with a $425 million bond in 2018 to fund the first round of projects; smartly, the campaign emphasized seismic concerns, lightening the ominous message with such creative touches as a neighborhood brewpub’s limited-release sour beer dubbed “Seawall’s Sea Puppy.” The bond passed with 83% support. “The earthquake message resonates,” Reel says. “Without it, I don’t think all this would have moved forward as it did.”
It makes sense to tackle the easiest fixes early, given the seismic threats posed to the Bay Area by the San Andreas and other faults. Breaking a daunting future into manageable parts also allows the Port and City Hall to shift attention from the more eye-popping aspects of climate adaptation — such as how potions of the Embarcadero might need to be raised as much as seven feet to prepare for 2100’s more extreme projected water levels.
Which leads us back to the Ferry Building.
As so often has been the case during the landmark’s history, far more is at stake than one particular structure. If the Ferry Building in its heyday represented San Francisco’s prominence within the region and beyond, in the 21st century it embodies how urban waterfronts can be reinvented without sacrificing their past identities. At the same time, the building remains essentially the same as it was in 1898 — a heavy structure of concrete and steel that covers two acres and rises from a foundation atop bundled piles of tree trunks.
The assumption for the past 25 years has been that the landmark’s impressive performance in 1906 and 1989 should ensure similar resilience when the next big earthquake hits. But the most recent geotechnical exam revealed a weak link: the section of the seawall behind the Ferry Building rests in a trench filled with liquefiable sand rather than the rubble that underlies almost everything else. That detail places “the 125-year-old Ferry Building Seawall, building substructure, and surrounding piers at risk of damage in large earthquakes,” according to the most recent Port update.
This isn’t just a concern for architecture buffs. San Francisco’s disaster relief plans treat the outdoor spaces around the landmark as crucial spots for retreat and regrouping. In a worst-case scenario where the Bay Bridge is knocked out of commission, as was the case in 1989, reliable access to a functioning ferry system will be crucial for evacuating people from the downtown scene safely. The new plaza can also serve as a staging area for bringing medical aid and supplies into the city over the water. Regular people who need to connect with family and friends know there won’t be confusion if someone says “let’s find each other at the Ferry Building.”
One solution could be to erect an entirely new seawall around the edge of the Ferry Building’s foundation, in essence creating a basement beneath it. And if you’re doing that, it’s only one more step — albeit sure to be costly and complex — to raise the entire building by several feet and resolve the challenge of sea level rise for another lifetime or two.
“With the Ferry Building, the one thing I know about it is that it has to be saved … it has such a strong identification with the city,” Elaine Forbes, the executive director for the Port, says. “So I talked myself into okaying this big expenditure.”
The Ferry Building, pictured in 1906 after the San Francisco earthquake and fire.Library of Congress
Realistically, adaptation planning in San Francisco and other waterfront cities will involve a variety of responses at a variety of scales. But the situation facing the Ferry Building, as at so many times in its history, is unique unto itself. This time around, the task is to remake a bustling civic icon so that life seemingly goes on as before. If anyone has challenged the need to invest what likely will be hundreds of millions of dollars to save a 125-year-old structure, the argument has gained no traction.
“The price would have to be really, really high before anything would think twice” about whether the Ferry Building’s salvation is more trouble than it’s worth, Reel says. He describes how during the public discussions on what to do about the Embarcadero, attendees would be asked to list priorities. What are you concerned about? What do you love?
In the latter category, Reel recalls, “the Ferry Building kept getting named. People want to see it forever.”
This still leaves an array of unanswered questions. How to decide how big of an engineering gamble to take. Whether to raise the structure, as implausible as that sounds, or build a new seawall to the east that would destroy the immediacy of the connection to the water. And what becomes of the tenants inside the building, especially the locally based merchants, if the building once again becomes a construction zone.
In a much different context, one San Franciscan offered a fatalistic take on what the future might hold: Lawrence Ferlinghetti.
Four years before his death in 2021, still living in North Beach, Ferlinghetti sat down in a neighborhood café to talk with a Washington Post writer about the beat era, the 97-year-old poet’s life, and his enduring love for the city that he embraced long ago. At one point, the writer asked Ferlinghetti about what might happen after he was gone.
“It’s all going to be underwater in 100 years or maybe even 50,” Ferlinghetti said with a half-smiled shrug. “The Embarcadero is one of the greatest esplanades in the world. On the weekends, thousands of people strut up and down like it’s the Ramblas in Barcelona. But it’ll all be underwater.”
This article was excerpted and condensed from John King’s book Portal: San Francisco’s Ferry Building and the Reinvention of American Cities, available on Nov. 7 from W. W. Norton & Company ©2023.
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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.