Fuel cell cars at least 15 years away at best

PG&E Wildfire Blackouts highlight California power shutoffs as high winds and suspected transmission line faults trigger evacuations, CPUC investigations, and grid safety reviews, with utilities weighing risk, compliance, and resilience during Santa Ana conditions.

Key Points

PG&E Wildfire Blackouts are outages during wind-driven fire threats linked to power lines, spurring CPUC investigations.

✅ Wind and line faults suspected amid Lafayette evacuations

✅ CPUC to probe shutoffs, notifications, and compliance

✅ Utilities plan more outages as Santa Ana winds return

Pacific Gas & Electric Co. power lines may have started two wildfires over the weekend in the San Francisco Bay Area, the utility said Monday, even though widespread blackouts were in place to prevent downed lines from starting fires during dangerously windy weather.

The fires described in PG&E reports to state regulators match blazes that destroyed a tennis club and forced evacuations in Lafayette, about 20 miles (32 kilometres) east of San Francisco.

The fires began in a section of town where PG&E had opted to keep the lights on. The sites were not designated as a high fire risk, the company said.

Powerful winds were driving multiple fires across California and forcing power shut-offs intended to prevent blazes, even as electricity prices are soaring across the state as well.

More than 900,000 power customers -- an estimated 2.5 million people -- were in the dark at the height of the latest planned blackout, nearly all of them in PG&E's territory in Northern and central California. By Monday evening a little less than half of those had their service back. But some 1.5 million people in 29 counties will be hit with more shut-offs starting Tuesday because another round of strong winds is expected, a reminder of grid stress during heat waves that test capacity, the utility said.

Southern California Edison had cut off power to 25,000 customers and warned that it was considering disconnecting about 350,000 more as power supply lapses and Santa Ana winds return midweek.

PG&E is under severe financial pressure after its equipment was blamed for a series of destructive wildfires and its 2018 Camp Fire guilty plea compounded liabilities during the past three years. Its stock dropped 24% Monday to close at $3.80 and was down more than 50% since Thursday.

The company reported last week that a transmission tower may have caused a Sonoma County fire that has forced 156,000 people to evacuate.

PG&E told the California Public Utilities Commission that a worker responded to a fire in Lafayette late Sunday afternoon and was told firefighters believed contact between a power line and a communication line may have caused it.

A worker went to another fire about an hour later and saw a fallen pole and transformer. Contra Costa Fire Department personnel on site told the worker they were looking at the transformer as a potential ignition source, a company official wrote.

Separately, the company told regulators that it had failed to notify 23,000 customers, including 500 with medical conditions, before shutting off their power earlier this month during windy weather.

Before a planned blackout, power companies are required to notify customers and take extra care to get in touch with those with medical problems who may not be able to handle extended periods without air conditioning or may need power to run medical devices.

PG&E said some customers had no contact information on file. Others were incorrectly thought to be getting electricity.

After that outage, workers discovered 43 cases of wind-related damage to power lines, transformers and other equipment.

Jennifer Robison, a PG&E spokeswoman, said the company is working with independent living centres to determine how best to serve people with disabilities.

The company faced a growing backlash from regulators and lawmakers, and a judge's order on wildfire risk spending added pressure as well.

U.S. Rep. Josh Harder, a Democrat from Modesto, said he plans to introduce legislation that would raise PG&E's taxes if it pays bonuses to executives while engaging in blackouts.

The Public Utilities Commission plans to open a formal investigation into the blackouts and the broader climate policy debate surrounding reliability within the next month, allowing regulators to gather evidence and question utility officials. If rules are found to be broken, they can impose fines up to $100,000 per violation per day, said Terrie Prosper, a spokeswoman for the commission.

The commission said Monday it also plans to review the rules governing blackouts, will look to prevent utilities from charging customers when the power is off and will convene experts to find grid improvements that might lessen blackouts during next year's fire season, as debates over rate stability in 2025 continue across PG&E's service area.

The state can't continue experiencing such widespread blackouts, "nor should Californians be subject to the poor execution that PG&E in particular has exhibited," Marybel Batjer, president of the California Public Utilities Commission, said in a statement.

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Smart Meter Texas real-time pricing faces rollback as utilities limit on-demand reads, impacting demand response, home area networks, ERCOT wholesale tracking, and thermostat automation, reducing efficiency gains promised through deregulation and smart meter investments.

Key Points

A plan linking smart meters to ERCOT prices, enabling near real-time usage alignment and automated demand response.

✅ Twice-hourly reads miss 15-minute ERCOT price spikes.

✅ Less than 1% of 7.3M meters use HAN real-time features.

✅ Limits hinder automation for HVAC, EV charging, and pool pumps.

Utilities made a promise several years ago when they built Smart Meter Texas that they’d come up with a way for consumers to monitor their electricity use in real time. But now they’re backing out of the deal with the approval of state regulators, leaving in the lurch retail power companies that are building their business model on the promise of real time pricing and denying consumers another option for managing their electricity costs.

Texas utilities collected higher rates to finance the building of a statewide smart meter network that would allow customers to track their electricity use and the quickly changing prices on wholesale power markets almost as they happened. Some retailers are building electricity plans around this promise, providing customers with in-home devices that would eventually track pricing minute-by-minute and allow them to automatically turn down or shut off air conditioners, pool pumps and energy sucking appliances when prices spiked on hot summer afternoons and turn them back on when they prices fell again.

The idea is to help save consumers money by allowing them to shift their electricity consumption to periods when power is cheaper, typically nights and weekends, even as utility revenue in a free-power era remains a debated topic.

“We’re throwing away a large part of (what) ratepayers paid for,” said John Werner, CEO of GridPlus Texas, one of the companies offering consumers a real-time pricing plan that is scheduled to begin testing next month. “They made the smart meters dumb meters.”

When Smart Meter Texas was launched a decade ago by a consortium of the state’s biggest utilities, it was considered an important part of deregulation. The competitive market for electricity held the promise that consumers would eventually have the technology to control their electricity use through a home area network and cut their power bills.

Regulators and legislators also were enticed by the possibility of making the electric system more efficient and relieving pressure on the power grid as consumers responded to high prices and cut consumption when temperatures soared, with ongoing discussions about Texas grid reliability informing policy choices.

One study found that smart meters coupled with smart real time consumption monitors could reduce electricity use between 3 percent and 5 percent, according to Call Me Power, a website sponsored by the European electricity price shopping service Selectra.

But utilities complained that the home area network devices were expensive to install and not used very often, and, with flat electricity demand weighing on growth, they questioned further investment. CenterPoint manager Esther Floyd Kent filed an affidavit with the commission in May that it costs the utility about $30,000 annually to support the network devices, plus maintenance.

Over a six-year period, CenterPoint paid $124,500, or about $20,000 a year, to maintain the system. As of April, there were only 4,067 network devices in CenterPoint’s service area, meaning the utility pays about $30.70 each year to maintain each device.

Centerpoint last year generated $9.6 billion in revenues and earned a $1.8 billion profit, according to its financial filings. CenterPoint officials did not respond to requests for comment.

Other utilities that are part of the Smart Meter consortium also complained to the Public Utility Commission that, up to now, the system hasn’t developed. All told, Texas has 7.3 million meters connected to Smart Meter Texas, but less than 1 percent are using the networking functions to track real-time prices and consumption, according to the testimony of Donny R. Helm, director of technology strategy and architecture for the state’s largest utility Oncor Electric Delivery Co. in Dallas.

The isssue was resolved recently through a settlement agreement that limits on-demand readings to twice an hour that Smart Meter Texas must provide customers. The price of power changes every 15 minutes, so a twice an hour reading may miss some price spikes.

The Public Utility Commission signed off on the deal, and so did several other groups including several retail electricity providers and the Office of Public Utility Counsel which represents residential customers and small businesses.

Michele Gregg, spokeswoman for the Public Utility Counsel, testified in December that the consumer advocate supported the change because widespread use of the networks never materialized. Catherine Webking, an Austin lawyer who represents the Texas Energy Association for Marketers, a group of retail electric providers, said she believes the deal was a reasonable resolution of providing the benefits of Smart Meter Texas while not incurring too much cost.

But Griddy, an electricity provider that offers customers the opportunity to pay wholesale power prices, which also issued a plea to customers during a price surge, said the state hasn’t given the smart-meter networks a chance and could miss out on its potential. Griddy was counting on the continued adoption of real time pricing as the next step for customers wanting to control their electricity costs.

Right now, Griddy sends out price alerts from the grid operator Electric Reliability Council of Texas so businesses like hotels can run washers and dryers when electricity prices are cheapest. But the company was counting on a smart-meter program that would allow customers to track wholesale prices and manage consumption themselves, making Griddy’s offerings attractive to more people.

Wholesale prices are generally cheaper than retail prices, but they can fluctuate widely, especially when the Texas power grid faces another crisis during extreme weather. Last year, wholesale prices averaged less than 3 cents per kilowatt hour, much lower than than retail rates that now are running above 11 cents, but they can spike at times of high demand to as much as $9 a kilowatt hour.

What customers want is to be able to use energy when it’s cheapest, said Greg Craig, Griddy’s CEO, and they want to do it automatically. They want to be able to program their thermostat so that if the price rises they can shut off their air conditioning and if the price falls, they can charge their electric-powered vehicle.

Griddy customers may still save money even without real time data, he said. But they won’t be able to see their usage in real time or see how much they’re spending.

“The big utilities have big investments in the existing way and going to real time and more transparency isn’t really in their best interest,” said Craig.

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Global Renewable Electricity Milestone signals solar, wind, hydro, and geothermal surpass 30% of power generation, driven by falling costs, battery storage, smart grids, and ambitious policy targets that strengthen energy security and decarbonization.

Key Points

It marks renewables exceeding 30% of global power, enabled by cheaper tech, storage, and strong policy.

✅ Costs of solar and wind fall, boosting competitiveness

✅ Storage and smart grids improve reliability and flexibility

✅ Policies target decarbonization while ensuring just transition

A recent report by the energy think tank Ember marks a significant milestone in the global energy transition. For the first time ever, according to their analysis, renewable energy sources like solar, wind, hydro, and geothermal now account for more than 30% of the world's electricity generation, a milestone echoed by wind and solar growth globally. This achievement signifies a pivotal shift towards a cleaner and more sustainable energy future.

The report attributes this growth to several key factors. Firstly, the cost of renewable energy technologies like solar panels and wind turbines has plummeted in recent years, making them increasingly competitive with traditional fossil fuels. Secondly, advancements in battery storage technology are facilitating the integration of variable renewable sources like solar and wind into the grid, addressing concerns about reliability. Thirdly, a growing number of countries are implementing ambitious renewable energy targets and policies, driven by environmental concerns and the desire for energy security.

The rise of renewables is not uniform across the globe. Europe leads the pack, with the European Union generating a staggering 44% of its electricity from renewable sources in 2023. Countries like Denmark, Germany, and Spain are at the forefront of this clean energy revolution. Developing nations are also starting to embrace renewables, driven by factors like falling technology costs and the need for affordable electricity access.

However, challenges remain. Fossil fuels still dominate the global energy mix, accounting for roughly two-thirds of electricity generation. Integrating a higher proportion of variable renewables into the grid necessitates robust storage solutions and smart grid technologies. Additionally, the transition away from fossil fuels needs to be managed carefully to ensure a just and equitable outcome for workers in the coal, oil, and gas sectors.

Despite these challenges, the report by Ember paints an optimistic picture. The rapid growth of renewables demonstrates their increasing viability and underscores the global commitment to a cleaner energy future, and in the United States, for example, renewables are projected to reach one-fourth of U.S. electricity generation, reinforcing this trajectory. The report also highlights the economic benefits of renewables, with new jobs created in the clean energy sector and reduced reliance on volatile fossil fuel prices.

Looking ahead, continued technological advancements, supportive government policies, and increased investment in renewable energy infrastructure are all crucial for further growth, with scenarios such as BNEF's 2050 outlook suggesting wind and solar could provide half of electricity, underscoring the importance of sustained effort. Furthermore, international cooperation is essential to ensure a smooth and equitable global energy transition. Developed nations can play a vital role by sharing technology and expertise with developing countries.

The 30% milestone is a significant step forward, but it's just the beginning. As the world strives to combat climate change and ensure energy security for future generations, renewables are poised to play a central role in powering a sustainable future, with wind and solar surpassing coal in the U.S. offering a clear signal of the shift. The report by Ember serves as a powerful reminder that a clean energy future is not just a dream, but a rapidly unfolding reality.

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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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U.S. Solar Generation 2017 surpassed biomass, delivering 77 million MWh versus 64 million MWh, trailing only hydro and wind; driven by PV expansion, capacity additions, and utility-scale and small-scale growth, per EIA.

Key Points

It was the year U.S. solar electricity exceeded biomass, hitting 77 million MWh and trailing only hydro and wind.

✅ Solar: 77 million MWh; Biomass: 64 million MWh (2017, EIA)

✅ PV expansion; late-year capacity additions dampen annual generation

✅ Hydro: 300 and wind: 254 million MWh; solar thermal ~3 million MWh

Electricity generation from solar resources in the United States reached 77 million megawatthours (MWh) in 2017, surpassing for the first time annual generation from biomass resources, which generated 64 million MWh in 2017. Among renewable sources, only hydro and wind generated more electricity in 2017, at 300 million MWh and 254 million MWh, respectively. Biomass generating capacity has remained relatively unchanged in recent years, while solar generating capacity has consistently grown.

Annual growth in solar generation often lags annual capacity additions because generating capacity tends to be added late in the year. For example, in 2016, 29% of total utility-scale solar generating capacity additions occurred in December, leaving few days for an installed project to contribute to total annual generation despite being counted in annual generating capacity additions. In 2017, December solar additions accounted for 21% of the annual total. Overall, solar technologies operate at lower annual capacity factors and experience more seasonal variation than biomass technologies.

Biomass electricity generation comes from multiple fuel sources, such as wood solids (68% of total biomass electricity generation in 2017), landfill gas (17%), municipal solid waste (11%), and other biogenic and nonbiogenic materials (4%).These shares of biomass generation have remained relatively constant in recent years, even as renewables' rise in 2020 across the grid.

Solar can be divided into three types: solar thermal, which converts sunlight to steam to produce power; large-scale solar photovoltaic (PV), which uses PV cells to directly produce electricity from sunlight; and small-scale solar, which are PV installations of 1 megawatt or smaller. Generation from solar thermal sources has remained relatively flat in recent years, at about 3 million MWh, even as renewables surpassed coal in 2022 nationwide. The most recent addition of solar thermal capacity was the Crescent Dunes Solar Energy plant installed in Nevada in 2015, and currently no solar thermal generators are under construction in the United States.

Solar photovoltaic systems, however, have consistently grown in recent years, as indicated by 2022 U.S. solar growth metrics across the sector. In 2014, large-scale solar PV systems generated 15 million MWh, and small-scale PV systems generated 11 million MWh. By 2017, annual electricity from those sources had increased to 50 million MWh and 24 million MWh, respectively, with projections that solar could reach 20% by 2050 in the U.S. mix. By the end of 2018, EIA expects an additional 5,067 MW of large-scale PV to come online, according to EIA’s Preliminary Monthly Electric Generator Inventory, with solar and storage momentum expected to accelerate. Information about planned small-scale PV systems (one megawatt and below) is not collected in that survey.

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U.S. Natural Gas Power Demand is surging for electricity generation amid summer heat, with ERCOT, Texas grid reserves tight, EIA reporting coal and nuclear retirements, renewables intermittency, and pipeline expansions supporting combined-cycle capacity and prices.

Key Points

It is rising use of natural gas for power, driven by summer heat, plant retirements, and new combined-cycle capacity.

✅ ERCOT reserve margin 9%, below 14% target in Texas

✅ Gas share of U.S. power near 40-43% this summer

✅ Coal and nuclear retirements shift capacity to combined cycle

As the hot months linger, it will be natural gas that is leaned on most to supply the electricity that we need to run our air conditioning loads on the grid and keep us cool.

And this is surely a great and important thing: "Heat causes most weather-related deaths, National Weather Service says."

Generally, U.S. gas demand for power in summer is 35-40% higher than what it was five years ago, with so much more coming (see Figure).

The good news is regions across the country are expected to have plenty of reserves to keep up with power demand.

The only exception is ERCOT, covering 90% of the electric load in Texas, where a 9% reserve margin is expected, below the desired 14%.

Last summer, however, ERCOT’s reserve margin also was below the desired level, yet the grid operator maintained system reliability with no load curtailments.

Simply put, other states are very lucky that Texas has been able to maintain gas at 50% of its generation, despite being more than justified to drastically increase that.

At about 1,600 Bcf per year, the flatness of gas for power demand in Texas since 2000 has been truly remarkable, especially since Lone Star State production is up 50% since then.

Increasingly, other U.S. states (and even countries) are wanting to import huge amounts of gas from Texas, a state that yields over 25% of all U.S. output.

Yet if Texas justifiably ever wants to utilize more of its own gas, others would be significantly impacted.

At ~480 TWh per year, if Texas was a country, it would be 9th globally for power use, even ahead of Brazil, a fast growing economy with 212 million people, and France, a developed economy with 68 million people.

In the near-term, this explains why a sweltering prolonged heat wave in July in Texas, with a hot Houston summer setting new electricity records, is the critical factor that could push up still very low gas prices.

But for California, our second highest gas using state, above-average snowpack should provide a stronger hydropower for this summer season relative to 2018.

Combined, Texas and California consume about 25% of U.S. gas, with Texas' use double that of California.

Across the U.S., gas could supply a record 40-43% of U.S. electricity this summer even as the EIA expects solar and wind to be larger sources of generation across the mix

Our gas used for power has increased 35-40% over the past five years, and January power generation also jumped on the year, highlighting broad momentum.

Our gas used for power has increased 35-40% over the past five years. DATA SOURCE: EIA; JTC

Indeed, U.S. natural gas for electricity has continued to soar, even as overall electricity consumption has trended lower in some years, at nearly 10,700 Bcf last year, a 16% rise from 2017 and easily the highest ever.

Gas is expected to supply 37% of U.S. power this year, even as coal-fired generation saw a brief uptick in 2021 in EIA data, versus 27% just five years ago (see Figure).

Capacity wise, gas is sure to continue to surge its share 45% share of the U.S. power system.

"More than 60% of electric generating capacity installed in 2018 was fueled by natural gas."

We know that natural gas will continue to be the go-to power source: coal and nuclear plants are retiring, and while growing, wind and solar are too intermittent, geography limited, and transmission short to compensate like natural gas can.

"U.S. coal power capacity has fallen by a third since 2010," and last year "16 gigawatts (16,000 MW) of U.S. coal-fired power plants retired."

This year, some 2,000 MW of coal was retired in February alone, with 7,420 MW expected to be closed in 2019.

Ditto for nuclear.

Nuclear retirements this year include Pilgrim, Massachusetts’s only nuclear plant, and Three Mile Island in Pennsylvania.

This will take a combined ~1,600 MW of nuclear capacity offline.

Another 2,500 MW and 4,300 MW of nuclear are expected to be leaving the U.S. power system in 2020 and 2021, respectively.

As more nuclear plants close, EIA projects that net electricity generation from U.S. nuclear power reactors will fall by 17% by 2025.

From 2019-2025 alone, EIA expects U.S. coal capacity to plummet nearly 25% to 176,000 MW, with nuclear falling 15% to 83,000 MW.

In contrast, new combined cycle gas plants will grow capacity almost 30% to around 310,000 MW.

Lower and lower projected commodity prices for gas encourage this immense gas build-out, not to mention non-stop increases in efficiency for gas-based units.

Remember that these are official U.S. Department of Energy estimates, not coming from the industry itself.

In other words, our Department of Energy concludes that gas is the future.

Our hotter and hotter summers are therefore more and more becoming: "summers for natural gas"

Ultimately, this shows why the anti-pipeline movement is so dangerous.

"Affordable Energy Coalition Highlights Ripple Effect of Natural Gas Moratorium."

In April, President Trump signed two executive orders to promote energy infrastructure by directing federal agencies to remove bottlenecks for gas transport into the Northeast in particular, where New England oil-fired generation has spiked, and to streamline federal reviews of border-crossing pipelines and other infrastructure.

Builders, however, are not relying on outside help: all they know is that more U.S. gas demand is a constant, so more infrastructure is mandatory.

They are moving forward diligently: for example, there are now some 27 pipelines worth $33 billion already in the works in Appalachia.

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