💻 Large Flexible LoadFebruary 22, 2026

ERCOT Bitcoin Mining & Data Center Electricity Curtailment

Compiled by EnergyForge Intelligence. Updated February 22, 2026.

In 2026, Bitcoin mining and high-density AI data centers in Texas operate fundamentally differently than traditional commercial real estate. Defined by ERCOT as Large Flexible Loads (LFL), these facilities purchase raw index power, mining profitably during deeply negative wind-generation hours, and generating massive revenue via automated curtailment—physically shutting down their ASICs and GPUs during summer grid stress to sell capacity back via Ancillary Services.

Executive Impact

  • →The Arbitrage Engine: The ERCOT grid experiences massive price volatility. In West Texas, overnight wind generation frequently produces more power than the grid can consume, driving wholesale electricity prices to $0/MWh or even negative. Crypto miners absorb this stranded energy. When the sun sets on a 105°F August afternoon and solar generation drops while AC demand stays high, prices spike to $5,000/MWh. The miners instantly shut off, avoiding the cost and balancing the grid.
  • →Ancillary Service Revenue: Advanced mining operations are not just avoiding high prices; they are selling grid stability. By interconnecting with high-speed underfrequency relays, a 100 MW mining facility can trip offline in fractions of a second if a traditional power plant fails. ERCOT pays millions of dollars annually to these facilities through the Responsive Reserve Service (RRS) simply for remaining on "standby" to perform this shutdown.
  • →Legislative Backlash: The massive scale of LFL integration is drawing intense political scrutiny. Following the passage of Texas Senate Bill 1929, ERCOT now mandates strict registration and operational transparency for any flexible load over 75 MW. Lawmakers are increasingly concerned that the billions paid to miners for curtailment could be better spent incentivizing the construction of physical dispatchable power plants (natural gas).
Demand Driver
Crypto/AI
Large Flexible Load
ERCOT LFL
Gigawatt scale additions
Revenue Stream
Demand Response
ERS / RRS
Ancillary Services
Grid balancing tools
Legislative Risk
Senate Bill 1929
Texas
Registration
Increased scrutiny

Procurement Strategies for Digital Assets

Traditional fixed-price retail contracts (which bake in massive risk premiums for ERCOT's summer volatility) destroy the economics of digital asset mining. LFL procurement is a specialized derivatives exercise.

  • Block & Index Structures: Miners typically procure power through a "Block & Index" structure. They buy a highly predictable, flat block of power representing perhaps 40% of their load to ensure a baseline level of operation and satisfy financier covenants, while leaving the remaining 60% riding the real-time index. Software automatically curtails the index portion whenever the ERCOT locational price exceeds their "hash price" break-even point.
  • 4CP Avoidance: ERCOT utilities assess transmission delivery charges based on a facility's contribution to the Four Coincident Peaks (4CP)—the single highest 15-minute interval of grid demand in June, July, August, and September. If a megawatt-scale miner fails to shut down during those four specific intervals, their delivery tariff for the entirety of the following calendar year will be catastrophically inflated.
  • Colocation Agreements: In 2026, the bottleneck for AI and crypto is not the hardware, but the time required to secure a utility interconnect. As a result, massive "behind-the-meter" colocation agreements have surged, where computing operators build data centers directly next to massive wind farms or existing natural gas plants, executing a direct Power Purchase Agreement (PPA) that circumvents the ERCOT distribution grid entirely.

The Convergence of AI and Crypto

The curtailment dynamic is rapidly evolving as Large Language Model (LLM) training facilities enter Texas. Unlike Bitcoin hashes, which can be paused instantaneously without data loss, training a multi-billion parameter AI model requires high-uptime stability. We are seeing a bifurcation in the market: rigid AI loads are being forced to execute expensive, long-term physical firming hedges, while purely flexible Bitcoin miners act as the shock-absorber for the state's renewable integration.