Wind power is not a panacea

California income-based utility charges face bipartisan pushback as the PUC weighs fixed fees for PG&E, SDG&E, and Southern California Edison, reshaping rate design, electricity affordability, energy equity, and privacy amid proposed per-kWh reductions.

Key Points

PUC-approved fixed fees tied to household income for PG&E, SDG&E, and SCE, offset by lower per-kWh rates.

✅ Proposed fixed fees: $51 SCE, $73.31 SDG&E, $50.92 PG&E

✅ Critics warn admin, privacy, legal risks and higher bills for savers

✅ Backers say lower-income pay less; kWh rates cut ~33% in PG&E area

Efforts are being made across California's political landscape to derail a legislative initiative that introduced income-based utility charges for customers of Southern California Edison and other major utilities.

Legislators from both the Democratic and Republican parties have proposed bills aimed at nullifying the 2022 legislation that established a sliding scale for utility charges based on customer income, a decision made in a late-hour session and subsequently endorsed by Governor Gavin Newsom.

The plan, pending final approval from the state Public Utilities Commission (PUC) — all of whose current members were appointed by Governor Newsom — would enable utilities like Southern California Edison, San Diego Gas & Electric, and PG&E to apply new income-based charges as early as this July.

Among the state legislators pushing back against the income-based charge scheme are Democrats Jacqui Irwin and Marc Berman, along with Republicans Janet Nguyen, Kelly Seyarto, Rosilicie Ochoa Bogh, Scott Wilk, Brian Dahle, Shannon Grove, and Roger Niello.

A cadre of specialists, including economist Ahmad Faruqui who has advised all three utilities implicated in the fee proposal, have outlined several concerns regarding the PUC's pending decision.

Faruqui and his colleagues argue that the proposed charges are excessively high in comparison to national standards, reflecting soaring electricity prices across the state, potentially leading to administrative challenges, legal disputes, and negative unintended outcomes, such as penalizing energy-conservative consumers.

Advocates for the income-based fee model, including The Utility Reform Network (TURN) and the National Resources Defense Council, argue it would result in higher charges for wealthier consumers and reduced fees for those with lower incomes. They also believe that the utilities plan to decrease per kilowatt-hour rates as part of a broader rate structure review to balance out the new fees.

However, even supporters like TURN and the Natural Resources Defense Council acknowledge that the income-based fee model is not a comprehensive solution to making soaring electricity bills more affordable.

If implemented, California would have the highest income-based utility fees in the country, with averages far surpassing the national average of $11.15, as reported by EQ Research:

• Southern California Edison would charge $51.
• San Diego Gas & Electric would levy $73.31.
• PG&E would set fees at $50.92.

The proposal has raised concerns among state legislators about the additional financial burden on Californians already struggling with high electricity costs.

Critics highlight several practical challenges, including the PUC's task of assessing customers' income levels, a process fraught with privacy concerns, potential errors, and constitutional questions regarding access to tax information.

Economists have pointed out further complications, such as the difficulty in accurately assessing incomes for out-of-state property owners and the variability of customers' incomes over time.

The proposed income-based charges would differ by income bracket within the PG&E service area, for example, with lower-income households facing lower fixed charges and higher-income households facing higher charges, alongside a proposed 33% reduction in electricity rates to help mitigate the fixed charge impact.

Yet, the economists warn that most customers, particularly low-usage customers, could end up paying more, essentially rewarding higher consumption and penalizing efficiency.

This legislative approach, they caution, could inadvertently increase costs for moderate users across all income brackets, a sign of major changes to electric bills that could emerge, challenging the very goals it aims to achieve by promoting energy inefficiency.

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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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Ontario Electricity Rebate clarifies hydro rates as OEB aligns bills with inflation, shows true cost per kilowatt hour, and replaces Fair Hydro Plan; transparent on-bill credit offsets increases tied to nuclear refurbishment and supply costs.

Key Points

A line-item credit on Ontario hydro bills that offsets higher electricity costs and reflects OEB-set rates.

✅ Starts Nov. 1 with rates in line with inflation

✅ Shows true per-kWh cost plus separate rebate line

✅ Driven by nuclear refurbishment and supply costs

The Ontario Energy Board says electricity rate changes for households and small businesses will be going up starting next week.

The agency says rates are scheduled to increased by about $1.99 or nearly 2% for a typical residential customer who uses 700 kilowatt hours per month.

The provincial government said in March it would continue to subsidize hydro rates, through legislation to lower rates, and hold any increases to the rate of inflation.

The OEB says the new rates, which the board says are “in line” with inflation, will take effect Nov. 1 as changes for electricity consumers roll out and could be noticed on bills within a few weeks of that date.

Prices are increasing partly due to government legislation aimed at reflecting the actual cost of supply on bills, and partly due to the refurbishment of nuclear facilities, contributing to higher hydro bills for some consumers.

So, effective November 1, Ontario electricity bills will show the true cost of power, after a period of a fixed COVID-19 hydro rate, and will include the new Ontario Electricity Rebate.

Previously the electricity rebate was concealed within the price-per-kilowatt-hour line item on electricity statements, prompting Hydro One bill redesign discussions to improve clarity. This meant customers could not see how much the government rebate was reducing their monthly costs, and bills did not display the true cost of electricity used.

"People deserve facts and accountability, especially when it comes to hydro costs," said Energy Minister Rickford.

The new Ontario Electricity Rebate will appear as a transparent on-bill line item and will replace the former government's Fair Hydro Plan says a government news release. This change comes in response to the Auditor General's special report on the former government's Fair Hydro Plan which revealed that "the government created a needlessly complex accounting/financing structure for the electricity rate reduction in order to avoid showing a deficit or an increase in net debt."

"The Electricity Distributors Association commends the government's commitment to making Ontario's electricity bills more transparent," said Teresa Sarkesian, President of the Electricity Distributors Association. "As the part of our electricity system that is closest to customers, local hydro utilities appreciated the opportunity to work with the government on implementing this important initiative. We worked to ensure that customers who receive their electricity bill will have a clear understanding of the true cost of power and the amount of their on-bill rebate. Local hydro utilities are focused on making electricity more affordable, reducing red tape, and providing customers with a modern and reliable electricity system that works for them."

The average customer will see the electricity line on their bill rise, showing the real cost per kilowatt hour. The new Ontario Electricity Rebate will compensate for that rise, and will be displayed as a separate line item on hydro bills. The average residential bill will rise in line with the rate of inflation.

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Global Renewable LCOE Trends reveal offshore wind costs down 32%, with 10MW turbines, lower CAPEX and OPEX, and parity for solar PV and onshore wind in Europe, China, and California, per BloombergNEF analysis.

Key Points

Benchmarks showing falling LCOE for offshore wind, onshore wind, and solar PV, driven by larger turbines and lower CAPEX

✅ Offshore wind LCOE $78/MWh; $53-64/MWh in DK/NL excl. transmission

✅ Onshore wind $47/MWh; solar PV $51/MWh, best $26-36/MWh

✅ Cost drivers: 10MW turbines, lower CAPEX/OPEX, weak China demand

World offshore wind costs have fallen 32% from just a year ago and 12% compared with the first half of 2019, according to a BNEF long-term outlook from BloombergNEF.

In its latest Levelized Cost of Electricity (LCOE) Update, BloombergNEF said its current global benchmark LCOE estimate for offshore wind is $78 a megawatt-hour.

“New offshore wind projects throughout Europe, including the UK's build-out, now deploy turbines with power ratings up to 10MW, unlocking CAPEX and OPEX savings,” BloombergNEF said.

In Denmark and the Netherlands, it expects the most recent projects financed to achieve $53-64/MWh excluding transmission.

New solar and onshore wind projects have reached parity with average wholesale power prices in California and parts of Europe, while in China levelised costs are below the benchmark average regulated coal price, according to BloombergNEF.

The company's global benchmark levelized cost figures for onshore wind and PV projects financed in the last six months are at $47 and $51 a megawatt-hours, underscoring that renewables are now the cheapest new electricity option in many regions, down 6% and 11% respectively compared with the first half of 2019.

BloombergNEF said for wind this is mainly down to a fall in the price of turbines – 7% lower on average globally compared with the end of 2018.

In China, the world’s largest solar market, the CAPEX of utility-scale PV plants has dropped 11% in the last six months, reaching $0.57m per MW.

“Weak demand for new plants in China has left developers and engineering, procurement and construction firms eager for business, and this has put pressure on CAPEX,” BloombergNEF said.

It added that estimates of the cheapest PV projects financed recently – in India, Chile and Australia – will be able to achieve an LCOE of $27-36/MWh, assuming competitive returns for their equity investors.

Best-in-class onshore wind farms in Brazil, India, Mexico and Texas can reach levelized costs as low as $26-31/MWh already, the research said.

Programs such as the World Bank wind program are helping developing countries accelerate wind deployment as costs continue to drop.

BloombergNEF associate in the energy economics team Tifenn Brandily said: “This is a three- stage process. In phase one, new solar and wind get cheaper than new gas and coal plants on a cost-of- energy basis.

“In phase two, renewables reach parity with power prices. In phase three, they become even cheaper than running existing thermal plants.

“Our analysis shows that phase one has now been reached for two-thirds of the global population.

“Phase two started with California, China and parts of Europe. We expect phase three to be reached on a global scale by 2030.

“As this all plays out, thermal power plants will increasingly be relegated to a balancing role, looking for opportunities to generate when the sun doesn’t shine or the wind doesn’t blow.”

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Washington EV Rebate Program drives EV adoption with incentives, funding, and clean energy goals, cutting greenhouse gas emissions. Residents embrace electric vehicles as charging infrastructure expands, supporting sustainable transportation and state climate targets.

Key Points

Washington EV Rebate Program provides incentives to cut EV costs, accelerate adoption, and support clean energy targets.

✅ Over half of allocated funding already utilized statewide.

✅ Incentives lower upfront costs and spur EV demand.

✅ Charging infrastructure expansion remains a key priority.

Washington State has reached a significant milestone in its electric vehicle (EV) rebate program, with more than half of the allocated funding already utilized. This rapid uptake highlights the growing interest in electric vehicles as residents seek more sustainable transportation options. As the state continues to prioritize environmental initiatives, this development showcases both the successes and challenges of promoting electric vehicle adoption.

A Growing Demand for Electric Vehicles

The substantial drawdown of rebate funds indicates a robust demand for electric vehicles in Washington. As consumers become increasingly aware of the environmental benefits associated with EVs—such as reduced greenhouse gas emissions and improved air quality—more individuals are making the switch from traditional gasoline-powered vehicles. Additionally, rising fuel prices and advancements in EV technology, alongside zero-emission incentives are further incentivizing this shift.

Washington's rebate program, which offers financial incentives to residents who purchase or lease eligible electric vehicles, plays a critical role in making EVs more accessible. The program helps to lower the upfront costs associated with purchasing electric vehicles, and similar approaches like New Brunswick EV rebates illustrate how regional incentives can boost adoption, thus encouraging more drivers to consider these greener alternatives. As the state moves toward its goal of a more sustainable transportation system, the popularity of the rebate program is a promising sign.

The Impact of Funding Utilization

With over half of the rebate funding already used, the program's popularity raises questions about the sustainability of its financial support and the readiness of state power grids to accommodate rising EV demand. Originally designed to spur adoption and reduce barriers to entry for potential EV buyers, the rapid depletion of funds could lead to future challenges in maintaining the program’s momentum.

The Washington State Department of Ecology, which oversees the rebate program, will need to assess the current funding levels and consider future allocations to meet the ongoing demand. If the funds run dry, it could slow down the adoption of electric vehicles, potentially impacting the state’s broader climate goals. Ensuring a consistent flow of funding will be essential for keeping the program viable and continuing to promote EV usage.

Environmental Benefits and Climate Goals

The increasing adoption of electric vehicles aligns with Washington’s ambitious climate goals, including a commitment to reduce carbon emissions significantly by 2030. The state aims to transition to a clean energy economy and has set a target for all new vehicles sold by 2035 to be electric, and initiatives such as the hybrid-electric ferry upgrade demonstrate progress across the transportation sector. The success of the rebate program is a crucial step in achieving these objectives.

As more residents switch to EVs, the overall impact on air quality and carbon emissions can be profound. Electric vehicles produce zero tailpipe emissions, which contributes to improved air quality, particularly in urban areas that struggle with pollution. The transition to electric vehicles can also help to reduce dependence on fossil fuels, further enhancing the state’s sustainability efforts.

Challenges Ahead

While the current uptake of the rebate program is encouraging, there are challenges that need to be addressed. One significant issue is the availability of EV models. Although the market is expanding, not all consumers have equal access to a variety of electric vehicle options. Affordability remains a barrier for many potential buyers, especially in lower-income communities, but targeted supports like EV charger rebates in B.C. can ease costs for households. Ensuring that all residents can access EVs and the associated incentives is vital for equitable participation in the transition to electric mobility.

Additionally, there are concerns about charging infrastructure. For many potential EV owners, the lack of accessible charging stations can deter them from making the switch. Expanding charging networks, particularly in underserved areas, is essential for supporting the growing number of electric vehicles on the road, and B.C. EV charging expansion offers a regional model for scaling access.

Looking to the Future

As Washington continues to advance its electric vehicle initiatives, the success of the rebate program is a promising indication of changing consumer attitudes toward sustainable transportation. With more than half of the funding already used, the focus will need to shift to sustaining the program and ensuring that it meets the needs of all residents, while complementary incentives like home and workplace charging rebates can amplify its impact.

Ultimately, Washington’s commitment to electric vehicles is not just about rebates; it’s about fostering a comprehensive ecosystem that supports clean energy, infrastructure, and equitable access. By addressing these challenges head-on, the state can continue to lead the way in the transition to electric mobility, benefiting both the environment and its residents in the long run.

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UK Energy Price Cap Cut 2024 signals relief as wholesale gas prices fall; Ofgem price cap drops per Cornwall Insight, aided by LNG supply, mild winter, despite Red Sea tensions and Ukraine conflict impacts.

Key Points

A forecast cut to Great Britain's Ofgem price cap as wholesale gas falls, easing typical annual household bills in 2024.

✅ Cap falls from £1,928 to £1,620 in April 2024

✅ Forecast £1,497 in July, then about £1,541 from October

✅ Drivers: lower wholesale gas, LNG supply, mild winter

Households in Great Britain are set to experience a significant reduction in energy costs this spring, with bills projected to drop by over £300 annually. This decrease is primarily due to a decline in wholesale gas prices, offering some respite to those grappling with the cost of living crisis.

Cornwall Insight, a well-regarded industry analyst, predicts a 16% reduction in average bills from the previous quarter, potentially reaching the lowest levels since the onset of the Ukraine conflict.

The industry’s price cap, indicative of the average annual bill for a typical household, is expected to decrease from the current £1,928, set earlier this month, to £1,620 in April – a reduction of £308 and £40 less than previously forecasted in December, as ministers consider ending the gas-electricity price link to improve market resilience.

Concerns about escalating tensions in the Red Sea, where Houthi rebels have disrupted global shipping, initially led analysts to fear an increase in wholesale oil prices and subsequent impact on household energy costs.

Contrary to these concerns, oil prices have remained relatively stable, and European gas reserves have been higher than anticipated during a mild winter, with European gas prices returning to pre-Ukraine war levels since November.

Cornwall Insight anticipates that energy prices will continue to be comparatively low through 2024. They predict a further decline to £1,497 for a typical annual bill from July, followed by a slight increase to £1,541 starting in October.

This forecast is a welcome development for Britons who have been dealing with increased expenses across various sectors, from food to utilities, amidst persistently high inflation rates, with energy-driven EU inflation hitting lower-income households hardest across member states.

Energy bills saw a steep rise in 2021, which escalated further due to the Ukraine conflict in 2022, driving up wholesale gas prices. This surge prompted government intervention to subsidize bills, with the UK price cap estimated to cost around £89bn to the public purse, capping costs to a typical household at £2,500.

Cornwall Insight noted that the supply of liquified natural gas to Europe had not been as adversely affected by the Red Sea disruptions as initially feared. Moreover, the UK has been well-supplied with gas from the US, which has become a more significant supplier since the Ukraine war, even as US electricity prices have risen to multi-decade highs. Contributing factors also include lower gas prices in Asia, mild weather, and robust gas availability.

Craig Lowrey, a principal consultant at Cornwall Insight, remarked that concerns about Red Sea events driving up energy prices have not materialized, allowing households to expect a reduction in prices.

On Monday, the next-month wholesale gas price dropped by 4% to 65p a therm.

However, Lowrey cautioned that a complete return to pre-crisis energy bill levels remains unlikely due to ongoing market impacts from shifting away from Russian energy sources and persistent geopolitical tensions, as well as policy changes such as Britain’s Energy Security Bill shaping market reforms.

Richard Neudegg, director of regulation at Uswitch, welcomed the potential further reduction of the price cap in April. However, he pointed out that this offers little solace to households currently struggling with high winter energy costs during the winter. Neudegg urged Ofgem, the energy regulator, to prompt suppliers to reintroduce more competitive and affordable fixed-price deals.

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