Category Archives: FPL

Sabal Trail wants a second pipeline and bigger compressor stations 2026-08-03

Update 2026-08-25: Denial of Survey Consent, etc., Kira Pollock to FERC about Sabal Trail Expansion Project 2026-08-24.

Sabal Trail proposes to add another fracked methane pipeline alongside the one it plowed under the Withlacoochee, Suwannee, Santa Fe, and Withlacoochee (South) Rivers almost a decade ago, plus bigger compressor stations in Suwannee and Marion Counties, Florida, and elsewhere.

What “economic development” could eat such a doubling of pipeline capacity? I know of only one candidate: hyper-scale AI datacenters, powered by gas plants such as the one rumored in Mitchell County, Georgia, near the Sabal Trail pipeline.

[Sabal Trail wants a second pipeline and bigger compressor stations, 2026-08-03]
Sabal Trail wants a second pipeline and bigger compressor stations, 2026-08-03

The first person to post this letter online was apparently Jodi Brantley, today, August 14, 2026. Others confirm that multiple landowners received this letter. The gist of the letter is on Sabal Trail’s own website:

https://www.sabaltrailtransmission.com/Project

This is not the long-delayed Project Phase III, which was supposed to add 75 million cubic feet per day. That one was originally supposed to be in service May 1, 2021, but got extended until May 1, 2023, and again to May 1, 2025, and most recently to May 1, 2027.

This Sabal Trail Expansion is a new project.

The current Sabal Trail pipeline “is capable of transporting over 1 billion cubic feet per day or more of natural gas to serve local distribution companies, industrial users and natural gas-fired power generators in the Southeast markets.”

So a second pipeline could add another billion cubic feet per day.

Sabal Trail’s excuses are: Continue reading

Datacenter Discussion @ Columbia County Commission 2026-07-23

“Data Center Discussion” is the first item on the agenda for the Columbia County Commission meeting,

5:30 PM, Thursday, July 23, 2026, at the School Board Administrative Complex, 372 West Duval Street, Lake City, FL 32055

The board packet includes 215 pages of related materials, all from Datacenter supporters, except for one by 1000 Friends of Florida. Some of them try to conflate hyper-scale AI datacenters with search and cloud datacenters, while others argue that the growth in AI is inevitable so just go along to get along.

Hint: it’s not inevitable. It’s a bubble that will pop, more likely sooner than later.

[Datacenter Discussion @ Columbia County Commission, 5:30 PM, Thur4sday, 2026-07-23, 372 W Duval Street, Lake City, FL]
Datacenter Discussion @ Columbia County Commission, 5:30 PM, Thur4sday, 2026-07-23, 372 W Duval Street, Lake City, FL

There are several growth projection graphs, all of them wrong.

This one is clearly wrong at first glance, because its forward projection is linear: a straight line.

[Graph: Electricity Consumption at U.S. Data Centers is Expected to More Than Double by 2030 Total electricity consumption by U.S. data centers (terawatt-hours), 2026-01-01 --1000 Friends of Florida]
Graph: Electricity Consumption at U.S. Data Centers is Expected to More Than Double by 2030 Total electricity consumption by U.S. data centers (terawatt-hours), 2026-01-01 –1000 Friends of Florida
PDF

This graph is wrong because it projects a smooth curve. Sure, an exponential curve could be closer to right. See growth curves of the Internet, or of adoption of solar power, smartphones, or PCs.

But in all those historical examples, the exponential growth eventually looked more like an S-curve.

Also note that even if the amount of data produced does grow exponentially, that doesn’t mean that power use or datacenter numbers or sizes must grow like that.

The bubble will pop, sooner, or later, for one or both of two reasons:

  1. Investors will wise up that AI companies have grossly oversold the benefits of their products, and they are failing to produce profits
  2. Someone, probably in China, will leapfrog the current crude stack-computers-in-a-warehouse approach with faster, cheaper, and smaller methods.
Continue reading