Ontarians footing energy bill for export deals

100% Clean Energy Targets drive renewable electricity, decarbonization, and cost savings through state policies, CCAs, RECs, and mandates, with timelines and interim goals that boost jobs, resilience, and public health across cities, counties, and utilities.

Key Points

Policies for cities and states to reach 100% clean power by set dates, using mandates, RECs, and interim goals.

✅ Define eligible clean vs renewable resources

✅ Mandate vs goal framework with enforcement

✅ Timelines with interim targets and escape clauses

“An enormous amount of authority still rests with the states for determining your energy future. So we can build these policies that will become a postcard from the future for the rest of the country,” said David Hochschild, chair of the California Energy Commission, speaking last week at a UCLA summit on state and local progress toward 100 percent clean energy.

According to a new report from the UCLA Luskin Center for Innovation, 13 states, districts and territories, as well as more than 200 cities and counties, with standout clean energy purchases by Southeast cities helping drive momentum, have committed to a 100 percent clean electricity target — and dozens of cities have already hit it.

This means that one of every three Americans, or roughly 111 million U.S. residents representing 34 percent of the population, live in a community that has committed to or has already achieved 100 percent clean electricity, including communities like Frisco, Colorado that have set ambitious targets.

“We’re going to look back on this moment as the moment when local action and state commitments began to push the entire nation toward this goal,” said J.R. DeShazo, director of the UCLA Luskin Center for Innovation.

Not all 100 percent targets are alike, however. The report notes that these targets vary based on 1) what resources are eligible, 2) how binding the 100 percent target is, and 3) how and when the target will be achieved.

These distinctions will carry a lot of weight as the policy discussion shifts from setting goals to actually meeting targets. They also have implications for communities in terms of health benefits, cost savings and employment opportunities.

100% targets come in different forms

One key attribute is whether a target is based on "renewable" or "clean" energy resources. Some 100 percent targets, like Hawaii’s and Rhode Island’s 2030 plan, are focused exclusively on renewable energy, or sources that cannot be depleted, such as wind, solar and geothermal. But most jurisdictions use the broader term “clean energy,” which can also include resources like large hydroelectric generation and nuclear power.

States also vary in their treatment of renewable energy certificates, used to track and assign ownership to renewable energy generation and use. Unbundled RECs allow for the environmental attributes of the renewable energy resource to be purchased separately from the physical electricity delivery.

The binding nature of these targets is also noteworthy. Seven states, as well as Puerto Rico and the District of Columbia, have passed 100 percent clean energy transition laws. Of the jurisdictions that have passed 100 percent legislation, all but one specifies that the target is a “mandate,” according to the report. Nevada is the only state to call the target a “goal.”

Governors in four other states have signed executive orders with 100 percent clean energy goals.

Target timelines also vary. Washington, D.C. has set the most ambitious target date, with a mandate to achieve 100 percent renewable electricity by 2032. Other states and cities have set deadline years between 2040 and 2050. All "100 percent" state laws, and some city and county policies, also include interim targets to keep clean energy deployment on track.

In addition, some locations have included some form of escape clause. For instance, Salt Lake City, which last month passed a resolution establishing a goal of powering the county with 100 percent clean electricity by 2030, included “exit strategies” in its policy in order to encourage stakeholder buy-in, said Mayor Jackie Biskupski, speaking last week at the UCLA summit.

“We don’t think they’ll get used, but they’re there,” she said.

Other locales, meanwhile, have decided to go well beyond 100 percent clean electricity. The State of California and 44 cities have set even more challenging targets to also transition their entire transportation, heating and cooling sectors to 100 percent clean energy sources, and proposals like requiring solar panels on new buildings underscore how policy can accelerate progress across sectors.

Businesses are simultaneously electing to adopt more clean and renewable energy. Six utilities across the United States have set their own 100 percent clean or carbon-free electricity targets. UCLA researchers did not include populations served by these utilities in their analysis of locations with state and city 100 percent clean commitments.

“We cannot wait”

All state and local policies that require a certain share of electricity to come from renewable energy resources have contributed to more efficient project development and financing mechanisms, which have supported continued technology cost declines and contributed to a near doubling of renewable energy generation since 2008.

Many communities are switching to clean energy in order to save money, now that the cost calculation is increasingly in favor of renewables over fossil fuels, as more jurisdictions get on the road to 100% renewables worldwide. Additional benefits include local job creation, cleaner air and electricity system resilience due to greater reliance on local energy resources.

Another major motivator is climate change. The electricity sector is responsible for 28 percent of U.S. greenhouse gas emissions, second only to transportation. Decarbonizing the grid also helps to clean up the transportation sector as more vehicles move to electricity as their fuel source.

“The now-constant threat of wildfires, droughts, severe storms and habitat loss driven by climate change signals a crisis we can no longer ignore,” said Carla Peterman, senior vice president of regulatory affairs at investor-owned utility Southern California Edison. “We cannot wait and we should not wait when there are viable solutions to pursue now.”

Prior to joining SCE on October 1, Peterman served as a member of the California Public Utilities Commission, which implements and administers renewable portfolio standard (RPS) compliance rules for California’s retail sellers of electricity. California’s target requires 60 percent of the state’s electricity to come from renewable energy resources by 2030, and all the state's electricity to come from carbon-free resources by 2045.  

How CCAs are driving renewable energy deployment

One way California communities are working to meet the state’s ambitious targets is through community-choice aggregation, especially after California's near-100% renewable milestone underscored what's possible, via which cities and counties can take control of their energy procurement decisions to suit their preferences. Investor-owned utilities no longer purchase energy for these jurisdictions, but they continue to operate the transmission and distribution grid for all electricity users.                           

A second paper released by the Luskin Center for Innovation in recent days examines how community-choice aggregators are affecting levels of renewable energy deployment in California and contributing to the state’s 100 percent target.

The paper finds that 19 CCAs have launched in California since 2010, growing to include more than 160 towns, cities and counties. Of those communities, 64 have a 100 percent renewable or clean energy policy as their default energy program.

Because of these policies, the UCLA paper finds that “CCAs have had both direct and indirect effects that have led to increases in the clean energy sold in excess of the state’s RPS.”

From 2011 to 2018, CCAs directly procured 24 terawatt-hours of RPS-eligible electricity, 11 TWh of which have been voluntary or in excess of RPS compliance, according to the paper.

The formation of CCAs has also had an indirect effect on investor-owned utilities. As customers have left investor-owned utilities to join CCAs, the utilities have been left holding contracts for more renewable energy than they need to comply with California’s clean energy targets, amid rising solar and wind curtailments that complicate procurement decisions. UCLA researchers estimate that this indirect effect of CCA formation has left IOUs holding 13 terawatt-hours in excess of RPS requirements.

The paper concludes that CCAs have helped to accelerate California’s ability to meet state renewable energy targets over the past decade. However, the future contributions of CCAs to the RPS are more uncertain as communities make new power-purchasing decisions and utilities seek to reduce their excess renewable energy contracts.

“CCAs offer a way for communities to put their desire for clean energy into action. They're growing fast in California, one of only eight states where this kind of mechanism is allowed," said UCLA's Kelly Trumbull, an author of the report. "State and federal policies could be reformed to better enable communities to meet local demand for renewable energy.”

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AI Load Forecasting for Utilities leverages machine learning, smart meters, and predictive analytics to balance energy demand during COVID-19 disruptions, optimize grid reliability, support demand response, and stabilize rates for residential and commercial customers.

Key Points

AI predicts utility demand with ML and smart meters to improve reliability and reduce costs.

✅ Adapts to rapid demand shifts with accurate short term forecasts

✅ Optimizes demand response and distributed energy resources

✅ Reduces outages risk while lowering procurement and operating costs

The spread of the novel coronavirus that causes COVID-19 has prompted state and local governments around the U.S. to institute shelter-in-place orders and business closures. As millions suddenly find themselves confined to their homes, the shift has strained not only internet service providers, streaming platforms, and online retailers, but the utilities supplying power to the nation’s electrical grid, which face longer, more frequent outages as well.

U.S. electricity use on March 27, 2020 was 3% lower than it was on March 27, 2019, a loss of about three years of sales growth. Peter Fox-Penner, director of the Boston University Institute for Sustainable Energy, asserted in a recent op-ed that utility revenues will suffer because providers are halting shutoffs and deferring rate increases. Moreover, according to research firm Wood Mackenzie, the rise in household electricity demand won’t offset reduced business electricity demand, mainly because residential demand makes up just 40% of the total demand across North America.

Some utilities are employing AI and machine learning for the energy transition to address the windfalls and fluctuations in energy usage resulting from COVID-19. Precise load forecasting could ensure that operations aren’t interrupted in the coming months, thereby preventing blackouts and brownouts. And they might also bolster the efficiency of utilities’ internal processes, leading to reduced prices and improved service long after the pandemic ends.

Innowatts
Innowatts, a startup developing an automated toolkit for energy monitoring and management, counts several major U.S. utility companies among its customers, including Portland General Electric, Gexa Energy, Avangrid, Arizona Public Service Electric, WGL, and Mega Energy. Its eUtility platform ingests data from over 34 million smart energy meters across 21 million customers in more than 13 regional energy markets, while its machine learning algorithms analyze the data to forecast short- and long-term loads, variances, weather sensitivity, and more.

Beyond these table-stakes predictions, Innowatts helps evaluate the effects of different rate configurations by mapping utilities’ rate structures against disaggregated cost models. It also produces cost curves for each customer that reveal the margin impacts on the wider business, and it validates the yield of products and cost of customer acquisition with models that learn the relationships between marketing efforts and customer behaviors (like real-time load).

Innowwatts told VentureBeat that it observed “dramatic” shifts in energy usage between the first and fourth weeks of March. In the Northeast, “non-essential” retailers like salons, clothing shops, and dry cleaners were using only 35% as much energy toward the end of the month (after shelter-in-place orders were enacted) versus the beginning of the month, while restaurants (excepting pizza chains) were using only 28%. In Texas, conversely, storage facilities were using 142% as much energy in the fourth week compared with the first.

Innowatts says that throughout these usage surges and declines, its clients took advantage of AI-based load forecasting to learn from short-term shocks and make timely adjustments. Within three days of shelter-in-place orders, the company said, its forecasting models were able to learn new consumption patterns and produce accurate forecasts, accounting for real-time changes.

Innowatts CEO Sid Sachdeva believes that if utility companies had not leveraged machine learning models, demand forecasts in mid-March would have seen variances of 10-20%, significantly impacting operations.

“During these turbulent times, AI-based load forecasting gives energy providers the ability to … develop informed, data-driven strategies for future success,” Sachdeva told VentureBeat. “With utilities and energy retailers seeing a once-in-a-lifetime 30%-plus drop in commercial energy consumption, accurate forecasting has never been more important. Without AI tools, utilities would see their forecasts swing wildly, leading to inaccuracies of 20% or more, placing an enormous strain on their operations and ultimately driving up costs for businesses and consumers.”

Autogrid
Autogrid works with over 50 customers in 10 countries — including Energy Australia, Florida Power & Light, and Southern California Edison — to deliver AI-informed power usage insights. Its platform makes 10 million predictions every 10 minutes and optimizes over 50 megawatts of power, which is enough to supply the average suburb.

Flex, the company’s flagship product, predicts and controls tens of thousands of energy resources from millions of customers by ingesting, storing, and managing petabytes of data from trillions of endpoints. Using a combination of data science, machine learning, and network optimization algorithms, Flex models both physics and customer behavior, automatically anticipating and adjusting for supply and demand patterns through virtual power plants that coordinate distributed assets.

Autogrid also offers a fully managed solution for integrating and utilizing end-customer installations of grid batteries and microgrids. Like Flex, it automatically aggregates, forecasts, and optimizes capacity from assets at sub-stations and transformers, reacting to distribution management needs while providing capacity to avoid capital investments in system upgrades.

Autogrid CEO Dr. Amit Narayan told VentureBeat that the COVID-19 crisis has heavily shifted daily power distribution in California, where it’s having a “significant” downward impact on hourly prices in the energy market. He says that Autogrid has also heard from customers about transformer failures in some regions due to overloaded circuits, which he expects will become a problem in heavily residential and saturated load areas during the summer months (as utilities prepare for blackouts across the U.S. when air conditioning usage goes up).

“In California, [as you’ll recall], more than a million residents faced wildfire prevention-related outages in PG&E territory in 2019,” Narayan said, referring to the controversial planned outages orchestrated by Pacific Gas & Electric last summer. “The demand continues to be high in 2020 in spite of the COVID-19 crisis, as residents prepare to keep the lights on and brace for a similar situation this summer. If a 2019 repeat happens again, it will be even more devastating, given the health crisis and difficulty in buying groceries.”

AI making a difference
AI and machine learning isn’t a silver bullet for the power grid — even with predictive tools at their disposal, utilities are beholden to a tumultuous demand curve and to mounting climate risks across the grid. But providers say they see evidence the tools are already helping to prevent the worst of the pandemic’s effects — chiefly by enabling them to better adjust to shifted daily and weekly power load profiles.

“The societal impact [of the pandemic] will continue to be felt — people may continue working remotely instead of going into the office, they may alter their commute times to avoid rush hour crowds, or may look to alternative modes of transportation,” Schneider Electric chief innovation officer Emmanuel Lagarrigue told VentureBeat. “All of this will impact the daily load curve, and that is where AI and automation can help us with maintenance, performance, and diagnostics within our homes, buildings, and in the grid.”

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European Solar Inverter Demand surges as photovoltaics and residential solar expand during the clean energy transition, driven by high natural gas prices; Germany leads, boosting Enphase and SolarEdge sales for rooftop systems and grid-tied installations.

Key Points

Rising European need for solar inverters, fueled by residential PV growth, high energy costs, and clean energy policies.

✅ Germany leads EU rooftop PV installations

✅ Enphase and SolarEdge see revenue growth

✅ High gas prices and policies spur adoption

Solar equipment makers are expected to post higher quarterly profit, benefiting from strong demand in Europe for critical components that convert energy from the sun into electricity, amid record renewable momentum worldwide.

The continent is emerging as a major market for solar firms as it looks to reduce its dependence on the Russian energy supply and accelerate its clean energy transition, with solar already reshaping power prices in Northern Europe across the region, brightening up businesses of companies such as Enphase Energy (ENPH.O) and SolarEdge Technologies (SEDG.O), which make solar inverters.

Wall Street expects Enphase and SolarEdge to post a combined adjusted net income of $323.8 million for the April-June quarter, a 56.7% jump from a year earlier, even as demand growth slows in the United States.

The energy crisis in Europe is not as acute as last year when Western sanctions on Russia severely crimped supplies, but prices of natural gas and electricity continue to be much higher than in the United States, Raymond James analyst Pavel Molchanov said.

As a result, demand for residential solar keeps growing at a strong pace in the region, with Germany being one of the top markets and solar adoption in Poland also accelerating in recent years across the region.

About 159,000 residential solar systems became operational in the first quarter in Germany amid a solar power boost that reflects policy and demand, a 146% rise from a year earlier, according to BSW solar power association.

Adoption of solar is also helping European homeowners have greater control over their energy costs as fossil fuel prices tend to be more volatile, Morningstar analyst Brett Castelli said.

SolarEdge, which has a bigger exposure to Europe than Enphase, said its first-quarter revenue from the continent more than doubled compared with last year.

In comparison, growth in the United States has been tepid due to lukewarm demand in states like Texas and Arizona where cheaper electricity prices make the economics of residential solar less attractive, even though solar is now cheaper than gas in parts of the U.S. market.

Higher interest rates following the U.S. Federal Reserve's recent actions to tame inflation are also weighing on demand, even as power outage risks rise across the United States.

Analysts also expect weakness in California where a new metering reform reduces the money credited to rooftop solar owners for sending excess power into the grid, underscoring how policy shifts can reshape the sector. The sunshine state accounts for nearly a third of the U.S. residential solar market.

Enphase will report its results on Thursday after the bell, while SolarEdge will release its second-quarter numbers on Aug. 1.

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UK Coal-Free Electricity Record highlights rapid growth in renewables as National Grid phases out coal; wind, solar, and offshore projects surge, green tariffs expand, and energy comparison helps consumers switch to cheaper, cleaner deals.

Key Points

Britain's longest coal-free run, enabled by renewables, lower demand, and grid shifts for cheaper, greener tariffs.

✅ Record set after two months without coal-fired generation

✅ Renewables outpace fossil fuels; wind and solar dominate

✅ Green tariffs expand; prices at three-year lows

On Wednesday 10 June, Britain hit a significant landmark: the UK went for two full months without burning coal to generate power – that's the longest period since the 1880s, following earlier milestones such as a full week without coal power in the recent past.

According to the National Grid, Britain has now run its electricity network without burning coal since midnight on the 9 April. This coal-free period has beaten the country’s previous record of 18 days, six hours and 10 minutes, which was set in June 2019, even though low-carbon generation stalled in 2019 according to analyses.

With such a shift in Britain’s drive for renewables and lower electricity demand following the coronavirus lockdown, as Britain recorded its cleanest electricity during lockdown to date, now may be the perfect time to do an online energy comparison and switch to a cheaper, greener deal.

Only a decade ago, around 40 per cent of Britain’s electricity came from coal generation, but since then the country has gradually shifted towards renewable energy, with the coal share at record lows in the system today. When Britain was forced into lockdown in response to the coronavirus pandemic, electricity demand dropped sharply, and the National Grid took the four remaining coal-fired plants off the network.

Over the past 10 years, Britain has invested heavily in renewable energy. Back in 2010, only 3 per cent of the country's electricity came from wind and solar, and many people remained sceptical. However, now, the UK has the biggest offshore wind industry in the world. Plus, last year, construction of the world’s single largest wind farm was completed off the coast of Yorkshire.

At the same time, Drax – Britain’s biggest power plant – has started to switch from burning coal to burning compressed wooden pellets instead, reflecting the UK's progress as it keeps breaking its coal-free energy record again across the grid. By this time next year, the plant hopes to have phased out coal entirely.

So far this year, renewables have generated more power than all fossil fuels put together, the BBC reports, and the energy dashboard shows the current mix in real time. Renewables have been responsible for 37 per cent of electricity supplied to the network, with wind and solar surpassing nuclear for the first time, while fossil fuels have accounted for 35 per cent. During the same period, nuclear accounted for 18 per cent and imports made up the remaining 10 per cent.

What does this mean for consumers?

As the country’s electricity supply moves more towards renewables, customers have more choice than ever before. Most of the ‘Big Six’ energy companies now have tariffs that offer 100 per cent green electricity. On top of this, specialist green energy suppliers such as Bulb, Octopus and Green Energy UK make it easier than ever to find a green energy tariff.

The good news is that our energy comparison research suggests that green energy doesn’t have to cost you more than a traditional fixed-price energy contract would. In fact, some of the cheapest energy suppliers are actually green companies.

At present, energy bills are at three-year lows, which means that now is the perfect time to switch supplier. As prices remain low and renewables begin to dominate the marketplace, more switchers will be drawn to green energy deals than ever before.

However, if you’re interested in choosing a green energy supplier, make sure that you look at the company's fuel mix. This way, you’ll be able to see whether they are guaranteeing the usage of green energy, or whether they’re just offsetting your usage. All suppliers must report how their energy is generated to Ofgem, so you’ll easily be able to compare providers.

You may find that you pay more for a supplier that generates its own energy from renewables, or pay less if the supplier simply matches your usage by buying green energy. You can decide which option is right for you after comparing the prices.

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Hourly Electricity Emissions Tracking maps grid balancing areas, embodied emissions, and imports/exports, revealing carbon intensity shifts across PJM, ERCOT, and California ISO, and clarifying renewable energy versus coal impacts on health and climate.

Key Points

An hourly method tracing generation, flows, and embodied emissions to quantify carbon intensity across US balancing areas.

✅ Hourly traces of imports/exports and generation mix

✅ Consumption-based carbon intensity by balancing area

✅ Policy insights for renewables, coal, health costs

In the United States, electricity generation accounts for nearly 30% of our carbon emissions. Some states have responded to that by setting aggressive renewable energy standards; others are hoping to see coal propped up even as its economics get worse. Complicating matters further is the fact that many regional grids are integrated, and as America goes electric the stakes grow, meaning power generated in one location may be exported and used in a different state entirely.

Tracking these electricity exports is critical for understanding how to lower our national carbon emissions. In addition, power from a dirty source like coal has health and environment impacts where it's produced, and the costs of these aren't always paid by the parties using the electricity. Unfortunately, getting reliable figures on how electricity is produced and where it's used is challenging, even for consumers trying to find where their electricity comes from in the first place, leaving some of the best estimates with a time resolution of only a month.

Now, three Stanford researchers—Jacques A. de Chalendar, John Taggart, and Sally M. Benson—have greatly improved on that standard, and they have managed to track power generation and use on an hourly basis. The researchers found that, of the 66 grid balancing areas within the United States, only three have carbon emissions equivalent to our national average, and they have found that imports and exports of electricity have both seasonal and daily changes. de Chalendar et al. discovered that the net results can be substantial, with imported electricity increasing California's emissions/power by 20%.

Hour by hour
To figure out the US energy trading landscape, the researchers obtained 2016 data for grid features called balancing areas. The continental US has 66 of these, providing much better spatial resolution on the data than the larger grid subdivisions. This doesn't cover everything—several balancing areas in Canada and Mexico are tied in to the US grid—and some of these balancing areas are much larger than others. The PJM grid, serving Pennsylvania, New Jersey, and Maryland, for example, is more than twice as large as Texas' ERCOT, in a state that produces and consumes the most electricity in the US.

Despite these limitations, it's possible to get hourly figures on how much electricity was generated, what was used to produce it, and whether it was used locally or exported to another balancing area. Information on the generating sources allowed the researchers to attach an emissions figure to each unit of electricity produced. Coal, for example, produces double the emissions of natural gas, which in turn produces more than an order of magnitude more carbon dioxide than the manufacturing of solar, wind, or hydro facilities. These figures were turned into what the authors call "embodied emissions" that can be traced to where they're eventually used.

Similar figures were also generated for sulfur dioxide and nitrogen oxides. Released by the burning of fossil fuels, these can both influence the global climate and produce local health problems.

Huge variation
The results were striking. "The consumption-based carbon intensity of electricity varies by almost an order of magnitude across the different regions in the US electricity system," the authors conclude. The low is the Bonneville Power grid region, which is largely supplied by hydropower; it has typical emissions below 100kg of carbon dioxide per megawatt-hour. The highest emissions come in the Ohio Valley Electric region, where emissions clear 900kg/MW-hr. Only three regional grids match the overall grid emissions intensity, although that includes the very large PJM (where capacity auction payouts recently fell), ERCOT, and Southern Co balancing areas.

Most of the low-emissions power that's exported comes from the Pacific Northwest's abundant hydropower, while the Rocky Mountains area exports electricity with the highest associated emissions. That leads to some striking asymmetries. Local generation in the hydro-rich Idaho Power Company has embodied emissions of only 71kg/MW-hr, while its imports, coming primarily from Rocky Mountain states, have a carbon content of 625kg/MW-hr.

The reliance on hydropower also makes the asymmetry seasonal. Local generation is highest in the spring as snow melts, but imports become a larger source outside this time of year. As solar and wind can also have pronounced seasonal shifts, similar changes will likely be seen as these become larger contributors to many of these regional grids. Similar things occur daily, as both demand and solar production (and, to a lesser extent, wind) have distinct daily profiles.

The Golden State
California's CISO provides another instructive case. Imports represent less than 30% of its total electric use in 2016, yet California electricity imports provided 40% of its embodied emissions. Some of these, however, come internally from California, provided by the Los Angeles Department of Water and Power. The state itself, however, has only had limited tracking of imported emissions, lumping many of its sources as "other," and has been exporting its energy policies to Western states in ways that shape regional markets.

Overall, the 2016 inventory provides a narrow picture of the US grid, as plenty of trends are rapidly changing our country's emissions profile, including the rise of renewables and the widespread adoption of efficiency measures and other utility trends in 2017 that continue to evolve. The method developed here can, however, allow for annual updates, providing us with a much better picture of trends. That could be quite valuable to track things like how the rapid rise in solar power is altering the daily production of clean power.

More significantly, it provides a basis for more informed policymaking. States that wish to promote low-emissions power can use the information here to either alter the source of their imports or to encourage the sites where they're produced to adopt more renewable power. And those states that are exporting electricity produced primarily through fossil fuels could ensure that the locations where the power is used pay a price that includes the health costs of its production.

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PG&E dividend halt for wildfire mitigation directs cash from shareholders to tree clearing, wildfire risk reduction, and probation compliance under Judge William Alsup, amid bankruptcy, Camp Fire liabilities, and power line vegetation management mandates.

Key Points

A court-ordered dividend halt funding vegetation clearance and wildfire mitigation as PG&E meets probation terms.

✅ Judge Alsup bars dividends until mitigation targets met

✅ 375,000 trees cleared near power lines in high-risk zones

✅ Measures tied to probation amid bankruptcy and liabilities

A U.S. judge said on Tuesday that PG&E may not resume paying dividends and must use the money to fund its plan for cutting down trees to reduce the risk of wildfires in California, stopping short of more costly measures he proposed earlier this year.

The new criminal probation terms for PG&E are modest compared with ones the judge had in mind in January and that PG&E said could have cost upwards of $150 billion.

The terms will, however, keep PG&E under the supervision of Judge William Alsup of the U.S. District Court for the Northern District of California and hold the company, which also is in Chapter 11 bankruptcy and whose bankruptcy plan has drawn support from wildfire victims, to its target for clearing areas around its power lines of some 375,000 trees this year.

PG&E's probation stems from its felony conviction after a deadly 2010 natural gas pipeline blast in San Bruno, California, near San Francisco, that killed eight people and injured 58 others.

PG&E filed for bankruptcy protection on Jan. 29 in anticipation of liabilities from wildfires, including a catastrophic 2018 blaze, the Camp Fire, for which PG&E later pleaded guilty to 85 counts in state court. It killed 86 people in the deadliest and most destructive wildfire in California history.

At a January hearing, Alsup, who is overseeing PG&E's probation, said he felt compelled to propose additional probation terms in the aftermath of Camp Fire. San Francisco-based PG&E expects its equipment will be found to have caused the blaze.

The probation process is separate from San Francisco-based PG&E's bankruptcy filing and from operational measures such as its pandemic response and shutoff moratorium implemented to protect customers.

As the company faces $30 billion in wildfire liabilities and bankruptcy proceedings and has opened a wildfire assistance program for affected residents, the energy company is expected to name as its new chief executive Bill Johnson, a source said on Tuesday. Johnson has been the CEO of the Tennessee Valley Authority since 2013 and is retiring on Friday.

Additional probation terms imposed by Alsup on Tuesday will require PG&E to meet goals in a wildfire mitigation plan it unveiled in February.

The goals include removing 375,000 dead, dying or hazardous trees from areas at high risk of wildfires in 2019, compared with 160,000 last year.

The judge said PG&E will not be able to pay shareholders until it complies with his new probation terms.

Shares fell 2% on Tuesday to close at $17.66 on the New York Stock Exchange and are down 63% since November 2018 due to concerns about the company's bankruptcy and wildfire liabilities, though the utility has said rates are set to stabilize in 2025 as part of its long-term plan. The shares traded as low as $5.07 in January.

PG&E in December 2017 suspended its quarterly cash dividend, while continuing to pay significant property taxes to California counties, citing uncertainty about liabilities from wildfires in October of that year that struck Northern California.

PG&E paid $798 million in dividends in 2017 and $925 million in 2016, a period in which the company did a poor job of clearing areas around its power lines of hazardous trees, according to Alsup.

Money meant for shareholders should have been spent on efforts to reduce wildfire risks in recent years, Alsup said at Tuesday's hearing.

"PG&E has started way more than its share of these fires," Alsup said.

"I want to see the people of California safe," the judge added.

Lawyers for PG&E did not contest the new terms, which the company considers more feasible than terms Alsup proposed in January.

To comply with the terms Alsup proposed in January, PG&E said it would have to remove 100 million trees. The company added that shutting power lines during high winds as Alsup proposed would not be feasible because the lines traverse rural areas to service cities and suburbs.

Idling lines could also affect the power grid in other states, PG&E said.

Alsup on Tuesday said he was still considering his proposal to require PG&E to shut down power lines during windy weather to prevent tree branches from making contact and sparking wildfires linked to power lines in the region.

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