In this week's episode, we explore a tale of two very different eastern power grids: PJM and ISO New England.

For years, PJM's interconnection queue was hopelessly snarled, with the grid operator getting overwhelmed by small renewable projects and speculative developers. Project reviews were taking five to seven years under a "first-come, first-served" model, leading to massive delays and withdrawn projects.

Now, PJM has overhauled its process to a "first-ready, first-served" approach, requiring developers to provide meaningful upfront financial commitments and proof of site control. The results of their latest application window are staggering: PJM recently announced 220 gigawatts (220,000 MW) of proposed capacity across 811 new projects.

Watch to learn more about:

The new PJM fuel mix: Why gas-fired generation (106 GW) and battery storage (66 GW) are leading the queue, alongside a surprising 27 nuclear projects.

Google's AI grid intervention: How PJM is deploying Tapestry’s HyperQ AI software to expedite the review of these massive data sets.

The "Phantom Load" problem: Why speculative queue behavior is inflating capacity numbers for new data centers by an estimated 3 to 10 times.

The supply chain reality check: Why much of this approved supply won't come online soon, as gas turbines are sold out through 2030 and projects like Commonwealth Fusion don't even have a working reactor yet.

The New England contrast: Why ISO New England is facing the exact opposite scenario, having recently downgraded its load growth forecast to just 9% through 2035 due to a lack of data centers and slowing EV and heat pump sales.

Finally, we discuss the unpredictable wildcards in grid forecasting. If the ongoing conflict in the Strait of Hormuz triggers an enormous petroleum price shock, New Englanders paying over $500 for 100 gallons of heating oil will race for heat pumps, instantly altering these long-term projections.

In a world where everything is constantly in flux, the only thing grid planners can truly count on is the accelerating pace of change. Watch now to understand the regionally differentiated reality of our power grid!

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Hosted by Peter Kelly-Detwiler, Energy Future explores the trends, technologies, and policies driving the global clean-energy transition — from the U.S. grid and renewable markets to advanced nuclear, fusion, and EV innovation.

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Greetings from Mexico!
In this episode, we dive deep into a fascinating new metric called the Compute Heat Rate (CHR) and explore its potentially profound implications for the future of electricity prices and the power grid
.
With the explosive growth of AI, power grids are facing unprecedented demands. For example, Texas's ERCOT grid operator recently projected that load could max out at a staggering 319,650 megawatts by 2030, driven largely by data centers
. We are already seeing the impact in markets like PJM, where data load growth has blown up capacity revenues to the tune of an estimated $23 billion in costs over the next three years
.
But what happens to the actual energy prices? That is what the CHR attempts to answer by asking: at what price would data centers elect NOT to consume power?
Introduced by industry veteran Hans Royal, the CHR measures the maximum electricity price a data center operator can rationally pay before their computing tasks become uneconomic
. Because AI creates enormous economic value, these data centers are incredibly inflexible and willing to pay massive premiums for power
. While traditional large loads like steel or aluminum producers will typically shut down when prices hit $40 to $120 per megawatt hour
, Royal estimates that AI data centers have a blended CHR of approximately 6,350permegawatthour
.Forhighlycritical,just−in−timeAIinferenceservices,theymightnotcurtailpoweruntilpriceshitover∗∗53,000 per megawatt hour**!
Watch to learn more about:
The massive gap between AI load forecasts and grid realities
.
Why regulators are demanding "Flex Mosaic" and load-shifting capabilities from data centers
.
The difference between Large Language Model (LLM) training loads and peaky inference loads
.
How the incredible power density of new tech—like the Nvidia Rubin architecture, where a fridge-sized box uses the power of 65 households—could price regular consumers out of the market
.
If these data centers refuse to curtail power at any normal wholesale price, we could see massive localized demand supply imbalances
. Watch now to understand the new metric tracking this emerging grid crisis

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🎙️ About Energy Future: Powering Tomorrow’s Cleaner World

Hosted by Peter Kelly-Detwiler, Energy Future explores the trends, technologies, and policies driving the global clean-energy transition — from the U.S. grid and renewable markets to advanced nuclear, fusion, and EV innovation.

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for weekly market insights, in-depth articles, and energy analysis.

Is it now AI's world, and we just live—and pay for electricity—in it? The AI revolution requires a staggering amount of electricity, and our power grid is struggling to keep up with the astonishingly rapid growth of data centers.

In this video, we dive into the unprecedented crisis facing grid operators like PJM Interconnection. With some regions seeing data-related energy loads jump from just 600 megawatts to 11,000 megawatts, grid operators are facing challenges never seen before in power markets.

Key topics covered in this video:

The Data Center Explosion: How utilities at ground zero, like Dominion in Virginia, are fielding up to 70,000 megawatts of large load interconnection requests—nearly equal to or exceeding the load they currently serve.

PJM’s "Hail Mary" Solution: A breakdown of PJM’s proposed parallel auction, a one-off bilateral contracting process aiming to secure 14,900 megawatts of new capacity by matching large loads with supply owners.

Supply Chain Roadblocks: Why finding enough equipment is a major hurdle, with grid-scale gas turbines essentially sold out globally through 2029.

A Broken Market: How the massive wealth of tech giants is warping energy economics. With data centers valuing early grid connection at up to $7 billion per gigawatt, capital is practically guaranteed to abandon the standard, price-capped public power markets in favor of lucrative, uncapped bilateral tech contracts.

As energy developers chase higher returns to power the AI boom, existing resources are being locked out, and everyday consumers might face the collateral impacts. Watch to understand why fixing the grid for AI is a nearly impossible puzzle.

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🎙️ About Energy Future: Powering Tomorrow’s Cleaner World

Hosted by Peter Kelly-Detwiler, Energy Future explores the trends, technologies, and policies driving the global clean-energy transition — from the U.S. grid and renewable markets to advanced nuclear, fusion, and EV innovation.

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Subscribe wherever you listen — including Spotify, Apple Podcasts, Amazon Music, and YouTube.

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for weekly market insights, in-depth articles, and energy analysis.

In this week's energy market update, we explore the explosive growth of the energy storage sector, now widely recognized as the "Swiss Army knife" of the modern power grid. Ever since the Aliso Canyon gas leak in 2016 kickstarted utility-scale battery deployment, plunging lithium-ion costs—driven largely by the EV industry—have completely transformed how we balance the system.

We break down the latest US Energy Storage Monitor report from Wood Mackenzie and American Clean Power, which reveals that an incredible 18.9 gigawatts (51 GWh) of storage was installed in 2025, marking a massive 52% year-over-year increase. Since 2019, the US has added over 50 gigawatts of storage to the grid.

For energy professionals tracking resource adequacy and grid integration, this video covers several critical trends:

Data Center Interconnection: How data centers are increasingly relying on on-site batteries to provision loads during system peaks, effectively bypassing congested grid constraints and potentially saving billions in fees.

Solar Hybridization & Transmission: Why nearly half of all utility-scale solar projects are now paired with 3-hour storage to rescue low-value midday power and sell it during high-priced evening peaks. We also explore the concept of "storage as transmission" to ease regional grid congestion.

Renewable Energy Droughts: As variable renewables flood the system, utility planners must now prepare for multi-day weather events—like atmospheric rivers or snowstorms—that can drastically cut solar or wind output, requiring much longer-duration backup.

Beyond Lithium-Ion: We look at the commercial emergence of alternative long-duration technologies, including compressed air projects from Hydrostor, liquid CO2 systems from Energy Dome, and liquid air turbines from Highview Power.

The Form Energy Disruption: Finally, we discuss how Form Energy's 100-hour iron-air batteries could drastically alter Wood Mackenzie's future forecasts. With recent massive deals announced alongside Xcel Energy, Google, and Crusoe, just two projects account for 80% of last year's total US storage additions in terms of gigawatt-hours.

Join us as we explore what the next 500 gigawatt-hours of projected energy storage will look like between now and 2031

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🎙️ About Energy Future: Powering Tomorrow’s Cleaner World

Hosted by Peter Kelly-Detwiler, Energy Future explores the trends, technologies, and policies driving the global clean-energy transition — from the U.S. grid and renewable markets to advanced nuclear, fusion, and EV innovation.

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In this week's energy market update, we explore a major announcement from leading AI chipmaker Nvidia, software company Emerald AI, and major energy players like Constellation to power a new class of "flexible AI factories". By utilizing Nvidia's latest Vera Rubin chip and Emerald AI's conductor platform to modulate compute demand in real-time, Nvidia claims this approach could unlock up to 100 gigawatts of capacity across the US power system.

With the US grid staring at expected peak demands that existing infrastructure simply cannot accommodate in the next three to five years, flexibility is becoming critical. For energy professionals tracking massive load growth, this video unpacks what this flexible architecture actually means for the grid:

The Grid Bottleneck & Souring Costs: Why adding inflexible data centers pushes up peak demand and exacerbates supply scarcity. We look at PJM's capacity market, where prices have soared seven or eightfold, costing ratepayers an estimated $23 billion over the last three auctions.

The Economic Power of Flexibility: How modulating compute loads during grid scarcity could allow massive new demand to connect without requiring billions in new infrastructure. We highlight recent Duke University studies suggesting that avoiding just 1% to 2% of peak hours could reduce utilities' new natural gas construction costs by 10 to 15%.

Real-World Testing: A look at the limited empirical data we have so far, including a peer-reviewed test at an Emerald AI data center in Arizona that successfully reduced power consumption by 25% during peak hours. We also discuss Google's recent milestone of surpassing 1 gigawatt of data center demand response.

Regulatory Skepticism & Risk: Why PJM's Independent Market Monitor (IMM) is pushing back hard against treating data centers as paid demand response assets. We discuss the immense financial risk to ratepayers if a data center fails to curtail power during an emergency, and the argument that flexibility should simply be a mandatory precondition for interconnection.

While the economic incentives and technical concepts are incredibly promising, the industry still needs to prove that this combination of silicon and electrons can be predictably and repeatedly flexible at scale. Join us as we unpack the 100 GW claim and discuss why significant caution is still warranted

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🎙️ About Energy Future: Powering Tomorrow’s Cleaner World

Hosted by Peter Kelly-Detwiler, Energy Future explores the trends, technologies, and policies driving the global clean-energy transition — from the U.S. grid and renewable markets to advanced nuclear, fusion, and EV innovation.

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In early March, mid-Atlantic grid operator PJM Began using Ambient Adjusted Ratings to better determine how much power can flow through its lines based on actual weather conditions. In addition, the DOE announced it will award billions for quick and effective upgrades to the transmission system.

First we have to fix the broken interconnection issue. For all projects seeking interconnection to the grid from 2008 through 2019, only 19% of the projects actually flowed power by the end of 2024. The typical project built in 2025 took 55 months to get through the queue, compared with 36 months in 2015.

But even if all of that new supply capacity could be processed through interconnection queues, there are simply not enough transmission lines to accommodate the planned resources. And few new lines are being built: less than 1,000 miles of 345 kV+ transmission lines were completed in 2024 – far less expansion than is needed, especially in the face of enormous new data center demand.

The biggest challenge is permitting for new rights-of-way, which can take well over a decade. There is a glimmer of hope that the federal government may reform the permitting process prior to the mid-terms, but it’s unlikely.

Grid-enhancing technologies, or GETs, can offer some relief by doing more with existing transmission. In addition, there is the growing potential for reconductoring.

The GETs technology with the greatest near-term is dynamic line rating, or DLR. As power lines move more power, they heat up. Lines are limited in terms of how much they can energy move by static ratings, based on worst case weather assumptions, such as 100 degrees F with no wind.

Such conditions rarely occur, but with static ratings flows cannot exceed those pre-set amounts. Most days, one could move much more power through that line, if one were

using DLRs - a combination of software and sensors. DLRs measure ambient temperatures and wind (wind wicks lots of heat away from the line, as well as how much sunshine is warming the wires. Sensors also measure how much the wire is physically sagging at any given moment. This information helps operators move more power without hitting “thermal violations.”

A 2024 case study showed static ratings could be exceeded 100% of the time, with average capacity increases of 81%. In summer, one could exceed the static ratings 94% of the time, with average increases of 27%.

A less capital-intensive approach that doesn’t require physical sensors and uses weather data, but also fails to measure the impact of wind, is called Ambient Adjusted Rating or AAR. AARs automatically predict transmission line capacity on an hourly basis.

The Federal Energy Commission’s 2021 Order 881

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🎙️ About Energy Future: Powering Tomorrow’s Cleaner World

Hosted by Peter Kelly-Detwiler, Energy Future explores the trends, technologies, and policies driving the global clean-energy transition — from the U.S. grid and renewable markets to advanced nuclear, fusion, and EV innovation.

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The U.S. solar industry installed 43.1 gigawatts-direct current (GWdc) of capacity in 2025, down 14% from 2024. GWdc is the nameplate rating of projects before they connect to the grid through inverters, which convert direct current (DC) to the alternating current (AC) our grid uses.

Two elements lower DC ratings to AC ratings. First, inverter losses account for around 4%.

More importantly, solar panels have specific output duration curves; there’s only a very small period when they produce maximum output, or even 80–90%. It’s uneconomical to buy an inverter that rarely hits full MW ratings, so developers resort to “solar clipping.” A 100 MWdc solar array might use inverters delivering a maximum of 80 MW of AC power to the grid. Typical DC/AC ratios are 1.1 to 1.25. You lose only a bit of energy on an MWh basis, but with significantly lower inverter costs. Therefore, MWdc numbers must be translated to the real-world MWac of the grid.

However, all capacity is not the same: a MW of solar capacity has two factors differentiating it from, say, a MW of gas-fired generation.

First, solar operates at a different capacity factor (a resource operating at 100% output all year would have a 100% capacity factor). An average panel capacity factor is 25%, compared to 60% for a combined-cycle gas plant. Because of this, it’s best to think in terms of energy generated. Location also matters; the capacity factor in Massachusetts is 16.5%, while in Arizona it is 29%.

One way to compare these is by energy output. Solar is now approaching 10% of total energy contributed to the grid. Additionally, solar arrays can be deployed faster than new turbines. With rising data center demand, we need all the electricity we can get.

(Source: https://www.eia.gov/todayinenergy/detail.php?id=67005)

Furthermore, solar is not dispatchable. It only generates power when the sun shines, while a gas plant can be called upon at any time, except during certain extreme weather events. In 2024, the mid-Atlantic grid operator PJM down-rated combined-cycle turbines from 96% to 79% in terms of their ability to meet peak demand during the worst hour of the worst day, and recently lowered that rating further to 74%. By comparison, PJM rates solar at only 7%.

When you hear about solar in terms of MWdc, it helps to reframe those values using the information above. Nonetheless, solar has grown considerably. In 2009, about 1 GW (1,000 MW) of solar was added in the U.S. That cumulative total is now 279 GWdc, and analyst Wood Mackenzie forecasts an increase of 490 GWdc over the next decade.

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🎙️ About Energy Future: Powering Tomorrow’s Cleaner World

Hosted by Peter Kelly-Detwiler, Energy Future explores the trends, technologies, and policies driving the global clean-energy transition — from the U.S. grid and renewable markets to advanced nuclear, fusion, and EV innovation.

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Xcel Energy and Google recently announced a monumental clean energy agreement to power a new data center in Minnesota. While the deal includes massive wind and solar additions, the real game-changer is the energy storage component: 300 MW of iron-air batteries manufactured by Form Energy, boasting an unprecedented 100 hours of duration.

To put the scale into perspective, this single 30,000 MWh (30 GWh) project represents over 50% of the entire battery energy storage installed across the U.S. last year.

In our latest update, we unpack the details of this historic deal, including:

• The Iron-Air Technology: How the simple process of oxidizing (or rusting) cheap, abundant iron is being harnessed for grid-scale power.
• The Efficiency Trade-off: Why the market might be willing to accept a remarkably low 40% round-trip efficiency in exchange for the firm, dispatchable capacity required to balance variable wind and solar.
• Manufacturing Scale: How this single Google project will consume 60% of the 500 MW annual capacity at Form Energy's rehabilitated West Virginia steel mill.

Check out the full breakdown to explore whether this 100-hour battery is the key to solving the grid's resource adequacy challenges amid the booming, insatiable power demands of modern data centers.

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🎙️ About Energy Future: Powering Tomorrow’s Cleaner World

Hosted by Peter Kelly-Detwiler, Energy Future explores the trends, technologies, and policies driving the global clean-energy transition — from the U.S. grid and renewable markets to advanced nuclear, fusion, and EV innovation.

💡 Stay Connected
Subscribe wherever you listen — including Spotify, Apple Podcasts, Amazon Music, and YouTube.

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Visit peterkellydetwiler.com
for weekly market insights, in-depth articles, and energy analysis.