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Infrastructure Security Algorithm prioritizes cyber defense for power grids and critical infrastructure, mitigating ransomware, blackout risks, and cascading failures by guiding utilities, regulators, and cyber insurers on optimal security investment allocation.

Key Points

An algorithm that optimizes security spending to cut ransomware and blackout risks across critical infrastructure.

✅ Guides utilities on optimal security allocation

✅ Uses incentives to correct human risk biases

✅ Prioritizes assets to prevent cascading outages

Millions of people could suddenly lose electricity if a ransomware attack just slightly tweaked energy flow onto the U.S. power grid, as past US utility intrusions have shown.

No single power utility company has enough resources to protect the entire grid, but maybe all 3,000 of the grid's utilities could fill in the most crucial security gaps if there were a map showing where to prioritize their security investments.

Purdue University researchers have developed an algorithm to create that map. Using this tool, regulatory authorities or cyber insurance companies could establish a framework for protecting the U.S. power grid that guides the security investments of power utility companies to parts of the grid at greatest risk of causing a blackout if hacked.

Power grids are a type of critical infrastructure, which is any network - whether physical like water systems or virtual like health care record keeping - considered essential to a country's function and safety. The biggest ransomware attacks in history have happened in the past year, affecting most sectors of critical infrastructure in the U.S. such as grain distribution systems in the food and agriculture sector and the Colonial Pipeline, which carries fuel throughout the East Coast, prompting increased military preparation for grid hacks in the U.S.

With this trend in mind, Purdue researchers evaluated the algorithm in the context of various types of critical infrastructure in addition to the power sector, including electricity-sector IoT devices that interface with grid operations. The goal is that the algorithm would help secure any large and complex infrastructure system against cyberattacks.

"Multiple companies own different parts of infrastructure. When ransomware hits, it affects lots of different pieces of technology owned by different providers, so that's what makes ransomware a problem at the state, national and even global level," said Saurabh Bagchi, a professor in the Elmore Family School of Electrical and Computer Engineering and Center for Education and Research in Information Assurance and Security at Purdue. "When you are investing security money on large-scale infrastructures, bad investment decisions can mean your power grid goes out, or your telecommunications network goes out for a few days."

Protecting infrastructure from hacks by improving security investment decisions

The researchers tested the algorithm in simulations of previously reported hacks to four infrastructure systems: a smart grid, industrial control system, e-commerce platform and web-based telecommunications network. They found that use of this algorithm results in the most optimal allocation of security investments for reducing the impact of a cyberattack.

The team's findings appear in a paper presented at this year's IEEE Symposium on Security and Privacy, the premier conference in the area of computer security. The team comprises Purdue professors Shreyas Sundaram and Timothy Cason and former PhD students Mustafa Abdallah and Daniel Woods.

"No one has an infinite security budget. You must decide how much to invest in each of your assets so that you gain a bump in the security of the overall system," Bagchi said.

The power grid, for example, is so interconnected that the security decisions of one power utility company can greatly impact the operations of other electrical plants. If the computers controlling one area's generators don't have adequate security protection, as seen when Russian hackers accessed control rooms at U.S. utilities, then a hack to those computers would disrupt energy flow to another area's generators, forcing them to shut down.

Since not all of the grid's utilities have the same security budget, it can be hard to ensure that critical points of entry to the grid's controls get the most investment in security protection.

The algorithm that Purdue researchers developed would incentivize each security decision maker to allocate security investments in a way that limits the cumulative damage a ransomware attack could cause. An attack on a single generator, for instance, would have less impact than an attack on the controls for a network of generators, which sophisticated grid-disruption malware can target at scale, rather than for the protection of a single generator.

Building an algorithm that considers the effects of human behavior

Bagchi's research shows how to increase cybersecurity in ways that address the interconnected nature of critical infrastructure but don't require an overhaul of the entire infrastructure system to be implemented.

As director of Purdue's Center for Resilient Infrastructures, Systems, and Processes, Bagchi has worked with the U.S. Department of Defense, Northrop Grumman Corp., Intel Corp., Adobe Inc., Google LLC and IBM Corp. on adopting solutions from his research. Bagchi's work has revealed the advantages of establishing an automatic response to attacks, and analyses like Symantec's Dragonfly report highlight energy-sector risks, leading to key innovations against ransomware threats, such as more effective ways to make decisions about backing up data.

There's a compelling reason why incentivizing good security decisions would work, Bagchi said. He and his team designed the algorithm based on findings from the field of behavioral economics, which studies how people make decisions with money.

"Before our work, not much computer security research had been done on how behaviors and biases affect the best defense mechanisms in a system. That's partly because humans are terrible at evaluating risk and an algorithm doesn't have any human biases," Bagchi said. "But for any system of reasonable complexity, decisions about security investments are almost always made with humans in the loop. For our algorithm, we explicitly consider the fact that different participants in an infrastructure system have different biases."

To develop the algorithm, Bagchi's team started by playing a game. They ran a series of experiments analyzing how groups of students chose to protect fake assets with fake investments. As in past studies in behavioral economics, they found that most study participants guessed poorly which assets were the most valuable and should be protected from security attacks. Most study participants also tended to spread out their investments instead of allocating them to one asset even when they were told which asset is the most vulnerable to an attack.

Using these findings, the researchers designed an algorithm that could work two ways: Either security decision makers pay a tax or fine when they make decisions that are less than optimal for the overall security of the system, or security decision makers receive a payment for investing in the most optimal manner.

"Right now, fines are levied as a reactive measure if there is a security incident. Fines or taxes don't have any relationship to the security investments or data of the different operators in critical infrastructure," Bagchi said.

In the researchers' simulations of real-world infrastructure systems, the algorithm successfully minimized the likelihood of losing assets to an attack that would decrease the overall security of the infrastructure system.

Bagchi's research group is working to make the algorithm more scalable and able to adapt to an attacker who may make multiple attempts to hack into a system. The researchers' work on the algorithm is funded by the National Science Foundation, the Wabash Heartland Innovation Network and the Army Research Lab.

Cybersecurity is an area of focus through Purdue's Next Moves, a set of initiatives that works to address some of the greatest technology challenges facing the U.S. Purdue's cybersecurity experts offer insights and assistance to improve the protection of power plants, electrical grids and other critical infrastructure.

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India Thermal Power Coal Imports surged 17.6% as CEA-monitored plants offset weaker CIL and SCCL supplies, driven by Saubhagya-led electricity demand, regional power deficits, and varied consumption across Uttar Pradesh, Bihar, Maharashtra, and Gujarat.

Key Points

Fuel volumes imported for Indian thermal plants, tracked by CEA, reflecting shifts in CIL/SCCL supply, demand, and regional power deficits.

✅ Imports up 17.6% as domestic CIL/SCCL deliveries lag targets

✅ Saubhagya-driven demand lifts generation in key beneficiary states

✅ Industrial slowdowns cut usage in Maharashtra, Tamil Nadu, Gujarat

The receipt of imported coal by thermal power plants, where plant load factors have risen, has shot up by 17.6 per cent during April-October. The coal import volumes refer to the power plants monitored by the Central Electricity Authority (CEA), and come amid moves to ration coal supplies as electricity demand surges, a power update report from CARE Ratings showed.

Imports escalated as domestic supplies by Coal India Ltd (CIL) and another state run producer- Singareni Collieries Company Ltd (SCCL) dipped in the period, after earlier shortages that have since eased in later months. Rate of supplies by the two coal companies to the CEA monitored power stations stood at 80.4 per cent, indicating a shortfall of 19.6 per cent against the allocated quantity.

According to the study by CARE Ratings, total coal supplied by CIL and SCCL to the power sector stood at 315.9 million tonnes (mt) during April-October as against 328.5 mt in the comparable period of last fiscal year.

The study noted that growth in power generation during the April-October 2019, with India now the third-largest electricity producer globally, was on account of higher demand from Pradhan Mantri Sahaj Bijli Har Ghar Yojana or Saubhagya Scheme beneficiary states. Providing connection to households in order to achieve 100% per cent electrification has in part helped the sector avert de-growth, as part of efforts to rewire Indian electricity and expand access.

Large states namely Uttar Pradesh, Bihar, Punjab, West Bengal and Rajasthan have recorded over five per cent growth in consumption of power. These states along with Odisha, Madhya Pradesh and Assam accounted for 75 per cent of the beneficiaries under the Saubhagya Scheme (Household Electrification Scheme). The ongoing economic downturn has led to a sharp fall in electricity demand from industrialised states. Maharashtra, which is also the largest power consuming state in India, recorded a decline in consumption of 5.6 per cent.

Other states namely Tamil Nadu, Telangana, Gujarat and Odisha too recorded fall in power consumed, echoing global dips in daily electricity demand seen later during the pandemic. These states house large clusters of mining, automobile, cement and other manufacturing industries, and a decline in these sectors led to fall in demand for power across these states. - The demand-supply gap or power deficit has remained at 0.6 per cent during the April-October 2019. North-East reported 4.8 per cent of power deficit followed by Northern Region at 1.3 per cent. Within Northern Region, Jammu & Kashmir and Uttar Pradesh accounted for 65 per cent and 30 per cent respectively of the regions power supply deficit.

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Ontario Global Adjustment Supreme Court Appeal spotlights a constitutional challenge to Ontario's electricity charge, pitting National Steel Car against the IESO over regulatory charge vs tax, procurement policy, and renewable energy feed-in tariff contracts.

Key Points

An SCC leave bid on whether Ontario's global adjustment is a valid regulatory charge or an unconstitutional tax.

✅ Appeals Court revived case for full record review

✅ Dispute centers on regulatory charge vs tax classification

✅ FIT renewables contracts and procurement policies at issue

The Ontario government wants the Supreme Court of Canada to weigh in on a constitutional challenge being brought against a large provincial electricity charge, a case the province claims raises issues of national importance.

Ontario’s attorney general and its Independent Electricity System Operator applied for permission to appeal to the Supreme Court in January, according to the court’s website.

The province is trying to appeal a Court of Appeal decision reinstating the challenge from November that said a legal challenge by Hamilton, Ont.-based National Steel Car Ltd. should be sent back to a lower-court for a full hearing.

Court reinstates constitutional challenge to Ontario's hefty ‘global adjustment’ electricity charge
National Steel Car appealing decision in legal challenge of Ontario electricity fee it calls an unconstitutional tax
Doug Ford’s cancellation of green energy deals costs Ontario taxpayers $231 million
National Steel Car launched its legal challenge in 2017, with the maker of steel rail cars claiming the province’s global adjustment electricity charge was a tax intended to fund certain post-financial-crisis policy goals. Since it is allegedly a tax, and one not imposed by the provincial legislature, the company’s argument is the global adjustment is unconstitutional, and also in breach of a provincial law requiring a referendum for new taxes.

The global adjustment mostly bridges the gap between the province’s hourly electricity price and the price guaranteed under contracts and regulated rates with power generators. It also helps cover the cost of building new electricity infrastructure and providing conservation programs, but the fee now makes up most of the commodity portion of a household power bill in the province.

Ontario argued the global adjustment is a valid regulatory charge, and moved to have National Steel Car’s challenge thrown out. An Ontario Superior Court judge agreed, and dismissed the challenge in 2018, saying it was “plain, obvious and beyond doubt” it could not succeed. However, an appeals court judge disagreed, writing in a decision last November that the “merits should not have been determined on a pleadings motion and without the development of a full record.”

In filings made to the Supreme Court, both the IESO and Ontario’s Ministry of the Attorney General argued their proposed appeals raise “issues of national and public importance,” such as whether incorporating environmental and social policy goals in procurement could turn attempts by a public body to recover costs into an unconstitutional tax.

Most applications for leave to appeal to the Supreme Court are dismissed, but the Ontario government claims the court’s guidance is required in this case, as it could lead to questions being raised about other fees or charges, such as money raised from fishing licences.

“A failure to dispose of this claim at the pleadings stage may well result in such uncertainty that public authorities across Canada decline to incorporate the kind of environmental and social policy goals objected to in this case into the decisions they make about how to spend funds raised from regulatory charges,” the filing from the attorney general states. “Alternatively, it may induce governments not to engage in cost recovery in connection with publicly supplied goods and services, which can otherwise be sound public policy.”

The government has so far had to pay National Steel Car $250,000 in legal costs “to avoid responding to the credible claim that the Global Adjustment is an unconstitutional tax,” said David Trafford of Morse Shannon LLP, one of National Steel Car’s lawyers.

“The application for leave to appeal is the next step in this effort to avoid having to respond to the case on the merits,” Trafford added in an email.

The application for leave to appeal is the next step in this effort to avoid having to respond to the case on the merits

David Trafford of Morse Shannon, one of National Steel Car’s lawyers
 
National Steel Car has particularly taken issue with the part of the global adjustment that funded contracts for renewable energy under a “feed-in tariff” program, or FIT, which the company called “the main culprit behind the dramatic price increases for electricity.”

The FIT program has been ended, but contracts awarded under it remain in place and form part of the global adjustment. Ontario’s auditor general estimated in 2015 that electricity consumers would pay $9.2 billion more for renewable energy under the government’s guaranteed-price program, a figure that later featured in a dispute between the auditor and the electricity regulator that drew political attention.

National Steel Car said its global adjustment costs grew from $207,260 in 2008 to almost $3.4 million in 2016, reflecting how high electricity rates have pressured manufacturers, to almost $3.4 million in 2016. For 2018, there was approximately $11.2 billion in global adjustment collected, according to the IESO’s reporting.

A spokesperson for the IESO said it “is not in a position to comment” because the case is still before the courts.

Electricity prices have been an ongoing problem for both Ontario consumers and politicians, which the previous Liberal government tried to address in 2017 by, among other things, refinancing global-adjustment costs through the Fair Hydro Plan and other measures.

Since National Steel Car filed its lawsuits, though, the Liberals lost power in the province and were succeeded in 2018 by Premier Doug Ford and the Progressive Conservatives, who made changes to the previous government’s power policies, including legislation to lower electricity rates introduced early in their mandate.

The province has also pursued interprovincial power arrangements, including building on an electricity deal with Quebec as part of its broader energy strategy.

“The present government of Ontario does not agree with the former government’s electricity procurement program, which ceased awarding new contracts in 2016,” Ontario’s attorney general said in a filing. “However, Ontario submits that (the lower-court judge) was correct in holding that it does not give rise to a claim susceptible to being remedied by the courts.”

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US SF6 Emissions Decline as NOAA analysis and EPA mitigation show progress, with atmospheric measurements and Greenhouse Gas Reporting verifying reductions from the electric power grid; sulfur hexafluoride's extreme global warming potential underscores inventory improvements.

Key Points

A documented drop in US sulfur hexafluoride emissions, confirmed by NOAA atmospheric data and EPA reporting reforms.

✅ NOAA towers and aircraft show 2007-2018 decline

✅ EPA reporting and utility mitigation narrowed inventory gaps

✅ Winter leaks and servicing signal further reduction options

A new NOAA analysis shows U.S. emissions of the super-potent greenhouse gas sulfur hexafluoride (SF6) have declined between 2007-2018, likely due to successful mitigation efforts by the Environmental Protection Agency (EPA) and the electric power industry, with attention to SF6 in the power industry across global markets. 

At the same time, significant disparities that existed previously between NOAA’s estimates, which are based on atmospheric measurements, and EPA’s estimates, which are based on a combination of reported emissions and industrial activity, have narrowed following the establishment of the EPA's Greenhouse Gas Reporting Program. The findings, published in the journal Atmospheric Chemistry and Physics, also suggest how additional emissions reductions might be achieved. 

SF6 is most commonly used as an electrical insulator in high-voltage equipment that transmits and distributes electricity, and its emissions have been increasing worldwide as electric power systems expand, even as regions hit milestones like California clean energy surpluses in recent years. Smaller amounts of SF6 are used in semiconductor manufacturing and in magnesium production. 

SF6 traps 25,000 times more heat than carbon dioxide over a 100-year time scale for equal amounts of emissions, and while CO2 emissions flatlined in 2019 globally, that comparison underscores the potency of SF6. That means a relatively small amount of the gas can have a significant impact on climate warming. Because of its extremely large global warming potential and long atmospheric lifetime, SF6 emissions will influence Earth’s climate for thousands of years.

In this study, researchers from NOAA’s Global Monitoring Laboratory, as record greenhouse gas concentrations drive demand for better data, working with colleagues at EPA, CIRES, and the University of Maryland, estimated U.S. SF6 emissions for the first time from atmospheric measurements collected at a network of tall towers and aircraft in NOAA’s Global Greenhouse Gas Reference Network. The researchers provided an estimate of SF6 emissions independent from the EPA’s estimate, which is based on reported SF6 emissions for some industrial facilities and on estimated SF6 emissions for others.

“We observed differences between our atmospheric estimates and the EPA’s activity-based estimates,” said study lead author Lei Hu, a Global Monitoring Laboratory researcher who was a CIRES scientist at the time of the study. “But by closely collaborating with the EPA, we were able to identify processes potentially responsible for a significant portion of this difference, highlighting ways to improve emission inventories and suggesting additional emission mitigation opportunities, such as forthcoming EPA carbon capture rules for power plants, in the future.” 

In the 1990s, the EPA launched voluntary partnerships with the electric power, where power-sector carbon emissions are falling as generation shifts, magnesium, and semiconductor industries to reduce SF6 emissions after the United States recognized that its emissions were significant. In 2011, large SF6 -emitting facilities were required to begin tracking and reporting their emissions under the EPA Greenhouse Gas Reporting Program. 

Hu and her colleagues documented a decline of about 60 percent in U.S. SF6 emissions between 2007-2018, amid global declines in coal-fired power in some years—equivalent to a reduction of between 6 and 20 million metric tons of CO2 emissions during that time period—likely due in part to the voluntary emission reduction partnerships and the EPA reporting requirement. A more modest declining trend has also been reported in the EPA’s national inventories submitted annually under the United Nations Framework Convention on Climate Change. 

Examining the differences between the NOAA and EPA independent estimates, the researchers found that the EPA’s past inventory analyses likely underestimated SF6 emissions from electrical power transmission and distribution facilities, and from a single SF6 production plant in Illinois. According to Hu, the research collaboration has likely improved the accuracy of the EPA inventories. The 2023 draft of the EPA’s U.S. Greenhouse Gas Emissions and Sinks: 1990-2021 used the results of this study to support revisions to its estimates of SF6 emissions from electrical transmission and distribution. 

The collaboration may also lead to improvements in the atmosphere-based estimates, helping NOAA identify how to expand or rework its network to better capture emitting industries or areas with significant emissions, according to Steve Montzka, senior scientist at GML and one of the paper’s authors.

Hu and her colleagues also found a seasonal variation in SF6 emissions from the atmosphere-based analysis, with higher emissions in winter than in summer. Industry representatives identified increased servicing of electrical power equipment in the southern states and leakage from aging brittle sealing materials in the equipment in northern states during winter as likely explanations for the enhanced wintertime emissions—findings that suggest opportunities for further emissions reductions.

“This is a great example of the future of greenhouse gas emission tracking, where inventory compilers and atmospheric scientists work together to better understand emissions and shed light on ways to further reduce them,” said Montzka.

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Russian Utility Grid Cyberattacks reveal DHS findings on Dragonfly/Energetic Bear breaching control rooms and ICS/SCADA via vendor supply-chain spear-phishing, threatening blackouts and critical infrastructure across U.S. power utilities through stolen credentials and reconnaissance.

Key Points

State-backed ops breaching utilities via vendors to reach ICS/SCADA, risking grid disruption and control-room access.

✅ Spear-phishing and watering-hole attacks on vendor networks

✅ Stolen credentials used to reach isolated ICS/SCADA

✅ Potential to trigger localized blackouts and service disruptions

Hackers working for Russia were able to gain access to the control rooms of US electric utilities last year, allowing them to cause blackouts, federal officials tell the Wall Street Journal.

The hackers -- working for a state-sponsored group previously identified as Dragonfly or Energetic Bear -- broke into utilities' isolated networks by hacking networks belonging to third-party vendors that had relationships with the power companies, the Department of Homeland Security said in a press briefing on Monday.

Officials said the campaign had claimed hundreds of victims and is likely continuing, the Journal reported.

"They got to the point where they could have thrown switches" to disrupt the flow power, Jonathan Homer, chief of industrial-control-system analysis for DHS, told the Journal.

"While hundreds of energy and non-energy companies were targeted, the incident where they gained access to the industrial control system was a very small generation asset that would not have had any impact on the larger grid if taken offline," the DHS said in a statement Tuesday. "Over the course of the past year as we continued to investigate the activity, we learned additional information which would be helpful to industry in defending against this threat."

Organizations running the nation's energy, nuclear and other critical infrastructure have become frequent targets for cyberattacks in recent years due to their ability to cause immediate chaos, whether it's starting a blackout or blocking traffic signals. These systems are often vulnerable because of antiquated software and the high costs of upgrading infrastructure.

The report comes amid heightened tension between Russia and the US over cybersecurity, alongside US condemnation of power grid hacking in recent months. Earlier this month, US special counsel Robert Mueller filed charges against 12 Russian hackers tied to cyberattacks on the Democratic National Committee.

Hackers compromised US power utility companies' corporate networks with conventional approaches, such as spear-phishing emails and watering-hole attacks as seen in breaches at power plants across the US that target a specific group of users by infecting websites they're known to visit, the newspaper reported. After gaining access to vendor networks, hackers turned their attention to stealing credentials for access to the utility networks and familiarizing themselves with facility operations, officials said, according to the Journal.

Homeland Security didn't identify the victims, the newspaper reports, adding that some companies may not know they had been compromised because the attacks used legitimate credentials to gain access to the networks.

Cyberattacks on electrical systems aren't an academic matter. In 2016, Ukraine's grid was disrupted by cyberattacks attributed to Russia, which is engaged in territorial disputes with the country over eastern Ukraine and the Crimean peninsula. Russia has denied any involvement in targeting critical infrastructure.

President Donald Trump signed an executive order in May designed to bolster the United States' cybersecurity by protecting federal networks, critical infrastructure and the public online. One section of the order focuses on protecting the grid like electricity and water, as well as financial, health care and telecommunications systems.

The Department of Homeland Security didn't respond to a request for comment.

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New York Climate Transition Costs highlight rising utility bills for ratepayers as the state pursues renewable energy, electrification, and a zero-emissions grid, with Inflation Reduction Act funding to offset consumer burdens while delivering health benefits.

Key Points

Ratepayer-funded costs to meet New York's renewable targets and zero-emissions grid, offset by federal incentives.

✅ $48B in projects funded by consumers over two decades

✅ Up to 10% of utility bills already paid by some upstate users

✅ Targets: 70% renewables by 2030; zero-emissions grid by 2040

A generational push to tackle climate change in New York that includes its Green New Deal is quickly becoming a pocketbook issue headed into 2024.

Some upstate New York electric customers are already paying 10 percent of their electricity bills to support the state’s effort to move off fossil fuels and into renewable energy. In the coming years, people across the state can expect to give up even bigger chunks of their income to the programs — $48 billion in projects is set to be funded by consumers over the next two decades.

The scenario is creating a headache for New York Democrats grappling with the practical and political risk of the transition.

It’s an early sign of the dangers Democrats across the country will face as they press forward with similar policies at the state and federal level. New Jersey, Maryland and California are also wrestling with the issue and, in some cases, are reconsidering their ambitious plans, including a 100% carbon-free mandate in California.

“This is bad politics. This is politics that are going to hurt all New Yorkers,” said state Sen. Mario Mattera, a Long Island Republican who has repeatedly questioned the costs of the state’s climate law and who will pay for it.

Democrats, Mattera said, have been unable to explain effectively the costs for the state’s goals. “We need to transition into renewable energy at a certain rate, a certain pace,” he said.

Proponents say the switch will ultimately lower energy bills by harnessing the sun and wind, result in significant health benefits and — critically — help stave off the most devastating climate change scenarios. And they hope new money to go green from the Inflation Reduction Act, celebrating its one-year anniversary, can limit costs to consumers.

New York has statutory mandates calling for 70 percent renewable electricity by 2030 and a fully “zero emissions” grid by 2040, among the most aggressive targets in the country, aligning with a broader path to net-zero electricity by mid-century. The grid needs to be greened, while demand for electricity is expected to more than double by 2050 — the same year when state law requires emissions to be cut by 85 percent from 1990 levels.

But some lawmakers in New York, particularly upstate Democrats, and similar moderates across the nation are worried about moving too quickly and sparking a backlash against higher costs, as debates over Minnesota's 2050 carbon-free plan illustrate. The issue is another threat to Democrats heading into the critical 2024 battleground House races in New York, which will be instrumental in determining control of Congress.

Even Gov. Kathy Hochul, a Democrat who is fond of saying that “we’re the last generation to be able to do anything” about climate change, last spring balked at the potential price tag of a policy to achieve New York’s climate targets, a concern echoed in debates over a fully renewable grid by 2030 elsewhere. And she’s not the only top member of her party to say so.

“If it’s all just going to be passed along to the ratepayers — at some point, there’s a breaking point, and we don’t want to lose public support for this agenda,” state Comptroller Tom DiNapoli, a Democrat, warned in an interview.

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