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$12B of US ratepayers' money wasted on a modeling mistake and pjm wants to do it again

Most energy analysts see rising electricity bills as an inevitable side effect of the green transition or extreme weather. Dylan Patel flips this script entirely, arguing that a massive, self-inflicted modeling error by the regional grid operator PJM has already cost ratepayers $12 billion and threatens to waste even more. This is not a story about the weather or the cost of fuel; it is a forensic accounting of how a broken algorithm and a paralyzed governance structure are bleeding consumers dry while the grid operator plans to double down on the same mistakes."

## The $12 Billion Calculation Patel's central claim is staggering in its specificity: the grid operator's internal model, the 'Reserve Requirement Study,' is fundamentally broken. He writes, "PJM's model includes errors that we estimate have cost all of its 66 million residents a total of $12B between 2025 and 2027 alone." This isn't a vague projection; it is based on a six-month effort by his team to reverse-engineer a system that PJM has treated as a black box. The core of the argument rests on two specific oversights. First, the model ignores the physics of cold air, which makes gas turbines up to 25% more efficient in winter. Second, it fails to credit the billions of dollars in winterization investments mandated after the 2022 Storm Elliott, a blizzard that previously exposed the grid's fragility. As Patel puts it, "PJM underestimates by ~4 gigawatts the existing power plants it already has; owing to a methodology which doesn't account for the higher efficiency of power plants in winter and improved power plant resilience since Storm Elliott."

$12B of US ratepayers' money wasted on a modeling mistake and pjm wants to do it again

This framing is powerful because it isolates the problem from the usual political noise. The failure isn't that there aren't enough power plants; it's that the operator doesn't know how many it actually has. The evidence suggests that if the model were accurate, the emergency auction planned for late 2025 would be unnecessary, or at least significantly smaller. Critics might argue that modeling future grid reliability is inherently uncertain and that conservative estimates are a safety feature, not a bug. However, Patel's data suggests the margin of error has shifted from "prudent" to "prohibitive," driving costs up by 20% without a corresponding increase in actual reliability."

PJM has wasted ~$12 billion of ratepayers' money from 2025 to 2027 due to this weak methodology, which dramatically overstated the supply/demand shortfall it faced.

## A Market Designed to Fail The commentary deepens when Patel examines the structural incentives of PJM's capacity market. He argues the system is "structurally anti-growth" because it treats new and existing power plants identically in its auctions. This design flaw means that when the grid operator buys capacity to cover a perceived shortfall, it pays a massive premium to existing plants that don't need the money to stay online. "PJM also runs the only capacity market in the world that does not distinguish between new and existing power plants," Patel notes. "So that premium paid for new power plants is also paid to existing power plants for doing nothing."

The consequence is a transfer of wealth from households to incumbent generators, with little to no new infrastructure actually being built. The article highlights that despite four record-breaking auctions totaling $63 billion, only 4.8 gigawatts of new capacity was procured. This is a stark contrast to the urgency of the situation. The governance structure, which requires a two-thirds majority across five sectors to change rules, has created a "vetocracy of vested interests" that prevents reform. While the Federal Energy Regulatory Commission (FERC) has given PJM a deadline to fix its governance, Patel warns that FERC's powers are largely reactive. The system is stuck in a loop where the only solution offered is to spend more money on the same broken mechanism.

## The Emergency Auction Risk Perhaps the most alarming section concerns the upcoming "emergency auction." With the current model predicting a massive shortfall, PJM plans to sign contracts lasting until 2043. Patel points out a critical flaw: these contracts are being sold without committed buyers. "PJM is doing this with no committed counter-parties," he writes. "If no other counter-party emerges, then once again those left holding the bag will be the residential ratepayers." The plan relies on large datacenters to foot the bill, but these developers are increasingly opting out, building their own power, or leaving the region entirely. "Many datacenter developers have written off PJM regardless, going elsewhere or planning behind-the-meter power configurations."

This creates a scenario where the grid operator is essentially gambling with ratepayer money. If the large loads don't materialize, the cost falls squarely on the 66 million residents in the PJM region. The parallel to the December 2022 North American blizzard is instructive; just as that storm forced a re-evaluation of winter resilience, the current crisis should force a re-evaluation of how capacity is valued. Yet, the administration's response seems to be more of the same: signing long-term contracts based on flawed data. The argument here is that the emergency auction is not a safety net, but a potential trap that could lock in high rates for nearly two decades."

## Bottom Line Patel delivers a devastating critique of PJM's capacity market, backed by a rare, transparent reconstruction of the operator's own flawed models. The strongest part of the argument is the clear link between a specific modeling error—ignoring winter efficiency—and the $12 billion price tag on ratepayer bills. The biggest vulnerability lies in the political reality: even with this evidence, breaking the "vetocracy" of vested interests within PJM's governance may be impossible without external regulatory force. Readers should watch closely for FERC's intervention by the end of September, as the window for correcting this course before the emergency auction begins is rapidly closing.

Deep Dives

Explore these related deep dives:

  • Electricity market

    The article critiques PJM's unique auction design as structurally anti-growth, and this page explains the specific mechanics of capacity markets that allow regions to pay for power plants that may never generate electricity.

  • December 2022 North American blizzard

    The report claims PJM's modeling errors stem from failing to account for improved plant resilience after this specific winter storm, making the event's actual impact on grid infrastructure essential context for the $12 billion waste estimate.

  • Rogers Wireless

    The article identifies this specific annual auction as the mechanism where billions are wasted due to modeling flaws, and the Wikipedia entry details the precise rules that create the supply-demand miscalculations described.

Sources

$12B of US ratepayers' money wasted on a modeling mistake and pjm wants to do it again

by Dylan Patel · SemiAnalysis · Read full article

Earlier this year, we explained why residents of the PJM area, America’s largest electricity market, have seen their power bills rise by ~20%. We argued that the main culprit was PJM’s auction design choices and how PJM models demand and supply. To better understand the extent of the problem, our Energy Model team spent the last 6 months reverse-engineering PJM’s main system model, the ‘Reserve Requirement Study’, which to date has been a black box. This study is how PJM decides what type of and how many power plants to buy to make sure electricity is reliable, using an annual auction, and spending billions each year.

Armed with a reconstructed model we argue that the problem is worse than we thought. PJM’s model includes errors that we estimate have cost all of its 66 million residents a total of $12B between 2025 and 2027 alone. We share our method in the annex of this newsletter for our subscribers; as well as the results of the model in our PJM Model dashboard. Our live rebuild of the Reserve Requirement Model is a tab available exclusively to our Energy Model clients; which also includes a quarter-by-quarter forecast of the whole US grid tracking >40,000 grid-connected power plants, and every single behind-the-meter datacenter power order.

PJM’s model is structurally anti-growth with a poorly designed capacity market that is globally unique and a governance system that is too big to function.

These failings magnify the negative impact of bad system modeling, which is the focus of this report:

PJM underestimates by ~4 gigawatts the existing power plants it already has; owing to a methodology which doesn’t account for the higher efficiency of power plants in winter and improved power plant resilience since Storm Elliott.

PJM has wasted ~$12 billion of ratepayers’ money from 2025 to 2027 due to this weak methodology, which dramatically overstated the supply/demand shortfall it faced. Household electricity bills would have risen much less if PJM’s model was accurate.

PJM’s emergency auction is putting ratepayers at risk by signing contracts for too much power without committed counter-parties.

Using PJM’s demand and supply curves we calculate that better modeling would have resulted in $6.7B of savings with only 0.014GW (yes, 14MW) less power procured for 2025/26; then $4.9B and 0.8GW for 2026/27. More power meaning less in savings might be counter-intuitive but we have the supply and demand curves to show how ...