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The Department of Energy announced Wednesday that it was scrapping the loan guarantee.
CEO Mark Zuckerberg confirmed the company’s expanding ambitions in a Threads post on Monday.
“I believe the tariff on copper — we’re going to make it 50%.”
“We had enough assurance that the president was going to deal with them.”
The state’s senior senator, Thom Tillis, has been vocal about the need to maintain clean energy tax credits.
SpaceX has also now been dragged into the fight.
The company will use the seed funding to bring on more engineers — and customers.
As extreme weather becomes the norm, utilities are scrambling to improve the grid’s resilience, aiming to prevent the types of outages and infrastructure damage that often magnify the impact of already disastrous weather events. Those events cost the U.S. $182 billion in damages last year alone.
With the intensity of storms, heat waves, droughts, and wildfires growing every year, some utilities are now turning to artificial intelligence in their quest to adapt to new climate realities. Rhizome, which just announced a $6.5 million seed round, uses AI to help assess and prevent climate change-induced grid infrastructure vulnerabilities. It’s already working with utilities such as Avangrid, Seattle City Light, and Vermont Electric Power Company to do so.
“With a combination of utility system data and historical weather and hazard information, and then climate projection information, we can build a full profile of likelihood and consequence of failure at a very high resolution,” Rhizome co-founder and CEO Mish Thadani told me.
While utilities often have lots of data about the history of their assets and the surrounding landscape, there’s no real holistic system to bring together these disparate datasets and provide a simple overview of systemic risk across a range of different scenarios. Utilities usually rely on historical data to make decisions about their assets — a practice that’s increasingly unhelpful as climate change makes previously rare extreme weather events more likely.
Rhizome aims to solve both problems, serving as an integrated platform for risk assessment and mitigation that incorporates forward-looking climate modeling into its projections. The company measures its success against modeled counterfactuals that determine avoided power outages and the economic losses associated with these hypothetical blackouts. “So we can say the anticipated failure rate across the system for a Category 1 hurricane was X, and after you invest in the system, it will be Y,” Thadani told me. “Or if you’ve made a bunch of investments in the system, and you do experience a Category 1 hurricane, what would have been the failure rate had those investments not been made?”
This allows utilities to provide regulators with much more robust data to back up their funding requests. So while Thadani expects electricity prices to continue to rise and ratepayers to bear the burden, he told me that Rhizome can ultimately help regulators and utilities keep costs in check by making sure that every dollar spent on risk mitigation goes as far as possible.
Rhizome’s seed round, which came in oversubscribed, was led by the early-stage tech-focused venture firm Base10 Partners, which aims to automate traditional sectors of the economy. Additional funders include climate investors MCJ and CLAI, as well as the wildfire-focused venture firm Convective Capital. In addition to its standard risk assessment system, Rhizome has also developed a wildfire-specific risk mitigation tool. This quantifies not only how likely a hazard is to occur and its potential impact on utility infrastructure, but also the probability that an equipment failure would spark a wildfire, based on the geography of the area and historical ignition data.
Thadani told me that he considers evaluating wildfire risk “to be the next step in a sequence” as a utility evaluates the threats to its system overall. So while customers can choose to adopt either the standard product or the wildfire-specific product, many could gain utility from both, he said. The company has also developed a third offering specifically tailored for municipal and cooperative utilities. This more affordable system doesn’t provide the same machine learning-powered cost-benefit metrics, but can still help these smaller entities evaluate their infrastructure’s vulnerability.
Right now, Rhizome has a “lean and mighty” team of just 11 people, Thadani told me. With this latest raise, he said that the company will immediately hire five or six engineers, primarily to do further research and development. As Rhizome looks to onboard more and larger customers, it’s planning to incorporate more advanced modeling features into its platform and operate it increasingly autonomously, such that the model can retrain itself as new weather, climate, and utility data becomes available.
The company is out of the pilot phase with most of its customers, Thadani said, having signed multiple enterprise software contracts. That’s big, as utilities have gained a reputation for showing an initial appetite for testing innovative technologies, only to balk at the cost of full-scale deployment. Thadani told me Rhizome has been able to avoid this so-called “pilot purgatory” by making a point to engage with senior-level stakeholders at utilities — not just the innovation teams — to “graduate from that pilot ecosystem more quickly.”
Add it to the evidence that China’s greenhouse gas emissions may be peaking, if they haven’t already.
Exactly where China is in its energy transition remains somewhat fuzzy. Has the world’s largest emitter of greenhouse gases already hit peak emissions? Will it in 2025? That remains to be seen. But its import data for this year suggests an economy that’s in a rapid transition.
According to government trade data, in the first fourth months of this year, China imported $12.1 billion of coal, $100.4 billion of crude oil, and $18 billion of natural gas. In terms of value, that’s a 27% year over year decline in coal, a 8.5% decline in oil, and a 15.7% decline in natural gas. In terms of volume, it was a 5.3% decline, a slight 0.5% increase, and a 9.2% decline, respectively.
“Fossil fuel demand still trends down,” Lauri Myllyvirta, the co-founder of the Centre for Research on Energy and Clean Air, wrote on X in response to the news.
Morgan Stanley analysts predicted Friday in a note to clients that this “weak downstream demand” for coal in China would “continue to hinder coal import volume.”
Another piece of China’s emissions and coal usage puzzle came from Indonesia, which is a major coal exporter. Citing data from trade data service Kpler, Reuters reported Friday that Indonesia’s thermal coal exports “have dropped to their lowest in three years” thanks to “weak demand in China and India,” the world’s two biggest coal importers. Indonesia’s thermal coal exports dropped 12% annually to 150 million tons in the first third of the year, Reuters reported.
China’s official goal is to hit peak emissions by 2030 and reach “carbon neutrality” by 2060. The country’s electricity grid is largely fueled by coal (with hydropower coming in at number two), as is its prolific production of steel and cement, which is energy and, specifically, coal-intensive. For a few years in the 2010s, more cement was poured in China than in the whole 20th century in the United States. China also accounts for about half of the world’s steel production.
At the same time, China’s electricity demand growth is being largely met by renewables, implying that China can expand its economy without its economy-wide, annual emissions going up. This is in part due to a massive deployment of renewables. In 2023, China installed enough non-carbon-emitting electricity generation to meet the total electricity demand of all of France.
China’s productive capacity has shifted in a way that’s less carbon intensive, experts on the Chinese energy system and economy have told Heatmap. The economy is shifting more toward manufacturing and away from the steel-and-cement intensive breakneck urbanization of the past few decades, thanks to a dramatically slowing homebuilding sector.
Chinese urban residential construction was using almost 300 million tons of steel per year at its peak in 2019, according to research by the Reserve Bank of Australia, about a third of the country’s total steel usage. (Steel consumption for residential construction would fall by about half by 2023.) By contrast, the whole United States economy consumes less than 100 million tons of steel per year.
To the extent the overall Chinese economy slows down due to the trade war with the United States, coal usage — and thus greenhouse gas emissions — would slow as well. Although that hasn’t happened yet — China also released export data on Friday that showed sustained growth, in spite of the tariff barriers thrown up by the Trump administration.
