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UK project trials carbon capture at sea to help tackle climate change
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The world is betting heavily on carbon capture — a term that refers to various techniques to stop carbon pollution from being released during industrial processes, or removing existing carbon from the atmosphere, to then lock it up permanently.
The practice is not free of controversy, with some arguing that carbon capture is expensive, unproven and can serve as a distraction from actually reducing carbon emissions. But it is a fast-growing reality: there are at least 628 carbon capture and storage projects in the pipeline around the world, with a 60% year-on-year increase, according to the latest report from the Global CCS (Carbon Capture and Storage) Institute. The market size was just over $3.5 billion in 2024, but is projected to grow to $14.5 billion by 2032, according to Fortune Business Insights.
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Perhaps the most ambitious — and the most expensive — type of carbon capture involves removing carbon dioxide (CO2) directly from the air, although there are just a few such facilities currently in operation worldwide. Some scientists believe that a better option would be to capture carbon from seawater rather than air, because the ocean is the planet’s largest carbon sink, absorbing 25% of all carbon dioxide emissions.
In the UK, where the government in 2023 announced up to ?20 billion ($26.7 billion) in funding to support carbon capture, one such project has taken shape near the English Channel. Called SeaCURE, it aims to find out if sea carbon capture actually works, and if it can be competitive with its air counterpart.
“The reason why sea water holds so much carbon is that when you put CO2 into the water, 99% of it becomes other forms of dissolved carbon that don’t exchange with the atmosphere,” says Paul Halloran, a professor of Ocean and Climate Science at the University of Exeter, who leads the SeaCURE team.
“But it also means it’s very straightforward to take that carbon out of the water.”
Pilot plant
SeaCURE started building a pilot plant about a year ago, at the Weymouth Sea Life Centre on the southern coast of England. Operational for the past few months, it is designed to process 3,000 liters of seawater per minute and remove an estimated 100 tons of CO2 per year.
“We wanted to test the technology in the real environment with real sea water, to identify what problems you hit,” says Halloran, adding that working at a large public aquarium helps because it already has infrastructure to extract seawater and then discharge it back into the ocean.
The carbon that is naturally dissolved in the seawater can be easily converted to CO2 by slightly increasing the acidity of the water. To make it come out, the water is trickled over a large surface area with air blowing over it. “In that process, we can constrict over 90% of the carbon out of that water,” Halloran says.
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Study reveals how much energy AI uses to answer your questions
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Whether it’s answering work emails or drafting wedding vows, generative artificial intelligence tools have become a trusty copilot in many people’s lives. But a growing body of research shows that for every problem AI solves, hidden environmental costs are racking up.
Each word in an AI prompt is broken down into clusters of numbers called “token IDs” and sent to massive data centers — some larger than football fields — powered by coal or natural gas plants. There, stacks of large computers generate responses through dozens of rapid calculations.
The whole process can take up to 10 times more energy to complete than a regular Google search, according to a frequently cited estimation by the Electric Power Research Institute.
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So, for each prompt you give AI, what’s the damage? To find out, researchers in Germany tested 14 large language model (LLM) AI systems by asking them both free-response and multiple-choice questions. Complex questions produced up to six times more carbon dioxide emissions than questions with concise answers.
In addition, “smarter” LLMs with more reasoning abilities produced up to 50 times more carbon emissions than simpler systems to answer the same question, the study reported.
“This shows us the tradeoff between energy consumption and the accuracy of model performance,” said Maximilian Dauner, a doctoral student at Hochschule Munchen University of Applied Sciences and first author of the Frontiers in Communication study published Wednesday.
Typically, these smarter, more energy intensive LLMs have tens of billions more parameters — the biases used for processing token IDs — than smaller, more concise models.
“You can think of it like a neural network in the brain. The more neuron connections, the more thinking you can do to answer a question,” Dauner said.
What you can do to reduce your carbon footprint
Complex questions require more energy in part because of the lengthy explanations many AI models are trained to provide, Dauner said. If you ask an AI chatbot to solve an algebra question for you, it may take you through the steps it took to find the answer, he said.
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NASA scientists are in a state of anxious limbo after the Trump administration proposed a budget that would eliminate one of the United States’ top climate labs – the NASA Goddard Institute for Space Studies, or GISS – as a standalone entity.
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In its place, it would move some of the lab’s functions into a broader environmental modeling effort across the agency.
Career specialists are now working remotely, awaiting details and even more unsure about their future at the lab after they were kicked out of their longtime home in New York City last week. Closing the lab for good could jeopardize its value and the country’s leadership role in global climate science, sources say.
“It’s an absolute sh*tshow,” one GISS scientist said under condition of anonymity because they were not authorized to speak to the media. “Morale at GISS has never been lower, and it feels for all of us that we are being abandoned by NASA leadership.”
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NASA is defending its budget proposal, with a nod toward the lab’s future.
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NASA scientists are in a state of anxious limbo after the Trump administration proposed a budget that would eliminate one of the United States’ top climate labs – the NASA Goddard Institute for Space Studies, or GISS – as a standalone entity.
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In its place, it would move some of the lab’s functions into a broader environmental modeling effort across the agency.
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“It’s an absolute sh*tshow,” one GISS scientist said under condition of anonymity because they were not authorized to speak to the media. “Morale at GISS has never been lower, and it feels for all of us that we are being abandoned by NASA leadership.”
“We are supposedly going to be integrated into this new virtual NASA modeling institute, but (we have) no idea what that will actually look like,” they said.
NASA is defending its budget proposal, with a nod toward the lab’s future.
“NASA’s GISS has a significant place in the history of space science and its work is critical for the Earth Science Division, particularly as the division looks to the future of its modeling work and capabilities,” NASA spokesperson Cheryl Warner said in a statement.
“Fundamental contributions in research and applications from GISS directly impact daily life by showing the Earth system connections that impact the air we breathe, our health, the food we grow, and the cities we live in,” Warner said.
GISS has a storied history in climate science on the global scale.
James Hansen, a former director, first called national attention to human-caused global warming at a Senate hearing during the hot summer of 1988. The lab, founded in 1961, is still known worldwide for its computer modeling of the planet that enable scientists to make projections for how climate change may affect global temperatures, precipitation, extreme weather events and other variables.
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Trailer trucks queue to cross into the United States at the Otay Mesa Port of Entry, in Tijuana, Mexico, November 27, 2024. Jorge Duenes/Reuters
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Since President Donald Trump won the election in November, businesses across the globe have been bracing for higher tariffs — a key Day One promise the president made.
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