Field notes The Energy Transition for the Rest of Us

Catalyst N° 051 of 125 13 Feb 2025

The case for colocating data centers and generation

with Sheldon Kimber, founder and CEO, Intersect Power

In this note
  1. 01The question
  2. 02The answer
  3. 03The argument
  4. 04What you need to know first
  5. 05Details worth keeping
  6. 06Claims worth citing
  7. 07Where it’s contested

The question

Why build generation on a data center’s own site instead of connecting the data center to the grid, and does that logic run all the way to going off grid?

The answer

Because the binding constraint is speed and scale, and colocation attacks it on three fronts that are easy to run together: a cost-allocation rule, a physical adequacy problem, and a permitting problem. On off grid, Kimber’s position is that grid connection should become optional rather than absent, since customers keep wanting it as insurance even on sites engineered to run without it.

03The argument

Kimber starts from a premise he has been making for years: the grid is broken, so load has to come to generation rather than the other way round. Three trends are pulling load up at once, and he is careful that only one of them is about climate. Digitalization is the loud one. Electrification is the one he finds more interesting, because it is increasingly happening on product merit rather than policy, as electric motors and arc-furnace steelmaking simply get better. Decarbonization is the third and, in his view, survives whatever the policy environment. Against that, the conventional path is to secure a site and wait roughly a decade for a transmission line. He grants that works if you have the patience and the capital, and that there have been successes, but he doubts it is the solution set the new loads need.

The case for colocation is really three separate claims of three different kinds, and colocation arguments routinely blur them. The first is regulatory and is about who pays. In most jurisdictions, he says, the network upgrades triggered by a large load interconnection get socialized across ratepayers, so a hyperscaler’s transmission line ends up on everyone’s bill, whereas a generator interconnection usually makes the generator cover more of the substation and related work. Shifting the interconnection from the load side to the generation side changes who bears the cost, and that is a rules question rather than a physics one. The second claim is engineering, and turns on the difference between energy and capacity. Most places, he says, have enough energy in most hours; the real question is whether the new load pushes the system over at its peak moments. Onsite batteries, dispatchable gas or the solar itself can keep the site from contributing at those moments. The third is about permission: renewables are still the fastest generation to bring online in the United States and will be for at least another five or six years, and community and regulatory acceptance is already a constraint on renewables, which he expects to bite harder on new combined-cycle plants and reactors.

The economics then support a reframe of what baseload means. In the Texas panhandle, where Intersect’s largest sites sit, renewable capacity factors reach the high seventies, so wind, solar and batteries on one site can run the load fully carbon free for 75 to 80 percent of the hours in a year, with a bit over 20 percent covered by gas or by the grid. The gas he means is simple cycle or reciprocating engines, not combined cycle, which he dismisses for this purpose. He claims that package beats a new combined-cycle plant on cost, given the price he quotes for one, a five to six year build, and a construction labor pool that in many cases has never built one. Note what the claim is and is not: he is not saying gas is unnecessary, he is saying the gas actually needed is a different, smaller and faster kind than the debate assumes.

The limit on all of this is the demand side, and here he is blunt. Asked whether data centers will run flexibly, he says power is still the tail of the dog and is not wagging anything. His rough capital cost stack for a gigawatt site is what carries the argument: on the order of ten billion dollars of data center structure, five to six billion of power assets, and roughly thirty billion of chips. Against that denominator, every second the site is not running at full output is an enormous amortized cost, so curtailing for maintenance or model changes is normal and curtailing because power is expensive is, in his words, never. That is what makes colocation a supply-side answer specifically. If the load will not bend, the generation has to come to it.

04What you need to know first

Behind the meter
Generation sited on the customer’s own side of the utility meter, serving the load directly rather than selling into the grid. Colocation here means behind-the-meter generation on the data center’s site.
Load interconnection versus generator interconnection
Two different processes with different cost-allocation rules. The asymmetry Kimber relies on is that load-side upgrades are more often spread across ratepayers while generator-side upgrades are more often charged to the developer. He scopes this to “most jurisdictions,” not all.
Energy versus capacity
Energy is total kilowatt-hours over time; capacity is the ability to serve demand in the worst hour. A grid can be long on the first and short on the second, which is why a battery that shifts a few hours of supply can unlock a large new load.
Combined cycle versus simple cycle
A combined-cycle plant adds a steam cycle to capture waste heat, buying efficiency at the price of capital cost and build time. Simple-cycle turbines and reciprocating engines are less efficient but cheaper and faster, which is why they suit a resource meant to run only a fifth of the hours.

05Details worth keeping

  • The head start came from an unrelated bet. Intersect built megasites and bespoke interconnection arrangements, technically and commercially, for hydrogen production. Hydrogen demand never materialized and AI took over the assets. Kimber rejects the prescient framing: they decided a miracle was not going to happen and then did the obvious thing.
  • His two Texas panhandle sites are described as capable of running fully off grid while also holding a grid interconnection, which he calls an energy Disneyland.
  • The solar and storage market he describes as a weird limbo, with supply-side policy support and enormous AI-driven demand both in place and both uncertain enough that he does not know whether the business will be ten times larger or nonexistent.
  • On trade, his point is that tariffs are only part of it. Commerce, trade policy and national-defense agencies have all been pressing on Chinese-sourced renewable equipment for some time. He expects no improvement and says he is surprised it has not already worsened. Intersect’s largely American supply chain limits its own exposure; he calls it a big problem for the industry.
  • Contract prices have risen off their record lows mostly because input costs rose, not because developer margins expanded. Developers who signed the low-priced contracts and now cannot deliver are, in his description, in chaos. He also flags an odd separation: spot prices remain low while 15-year power purchase agreement prices drift up, because community choice aggregators and corporate buyers know their own load and want the risk off the table.
  • On AI demand, his argument for why it compounds is recursive rather than demographic. Small distilled models running on phones will launch thousands of queries to larger reasoning models, which he likens to adding billions of new internet users. He expects inference in aggregate to be a much larger draw than training in the long run.

06Claims worth citing

All figures as stated on 2025-02-13, and several describe projects not yet built. Equipment prices, contract prices and project dates in this market move fast.

  • At the panhandle sites, renewable capacity factors in the high seventies allow 75 to 80 percent of annual hours to run fully carbon free on wind, solar and batteries, with a bit over 20 percent needing gas or the grid. He calls this probably the cleanest achievable mix in the country outside California and Hawaii. Kimber
  • Rough capital cost for a gigawatt data center: about $10 billion of data center structure, of which roughly $2.5 billion is the powered shell; $5 billion to $6 billion of power assets; and roughly $30 billion of chips. He explicitly rounds these. Kimber
  • A new combined-cycle plant is quoted as “2,000 KW,” which in context means about $2,000 per kilowatt, on a five to six year build. The transcript garbles the unit, so check the source before quoting it. Kimber
  • Renewables are the fastest form of generation to bring online in the United States and will remain so for at least five or six more years. Kimber
  • Two Texas panhandle sites, one 3 gigawatts and one over 1 gigawatt, each with multiple gigawatts of wind and solar and the ability to interconnect comparable battery capacity. First gigawatt-scale phases could come online by end of 2027 or early 2028. Kimber
  • A very large data center announced under the Google partnership is targeted to come online in 2026 and will have a colocation element, which he calls close to unheard of. Kimber
  • Roughly $800 million of initial investment into Intersect from TPG and Google, funding solar, storage, wind and some gas colocated with data centers in the United States. Kann
  • Intersect is in the middle of project financing about $9 billion of capital expenditure, and expects next year to be larger if two deals under negotiation sign. Kimber
  • Intersect has about $4 billion of assets operating, probably less contracted than the market average, with open positions in ERCOT (the Texas grid market) and California across energy, capacity and renewable energy credits. Kimber
  • Power purchase agreement tenors collapsed to 15 years; he does not expect a return to 20-year deals. Kimber
  • Data center load growth was already easily double digit percent four years ago, on a substantial base, driven by e-commerce and basic machine learning. Stated from memory with no source, and the base is not specified. Kimber

07Where it’s contested

  • Kann’s history of contract tenors gets corrected. Kann restates the arc as 20-year deals, then shorter 10-year deals driven partly by Intersect, then a swing back toward longer. Kimber disagrees: tenors collapsed to 15, and Intersect’s short deals and open merchant slices were a response to that rather than a cause, because a 15-year deal pushes merchant risk onto the back end of a project where you least want it. Take the guest’s version.
  • Whether data center load ever flattened. Kann’s counter to the Jevons argument is the historical record: two decades of efficiency gains held compute’s total power draw roughly flat despite far more computing. Kimber disputes the premise itself, offers a source-off, and says load never really flattened. Neither resolves it, and the disagreement is about a factual premise rather than an interpretation.
  • How seriously to take the DeepSeek argument. Kimber twice says he is not an AI engineer. His skepticism rests on distillation requiring an expensive predecessor model, and on China’s incentive to claim a cheap model without conceding that the chip embargo is toothless. He says it feels a little like nonsense to him, then argues his conclusion holds even taking it at face value.
  • Flexible load. Kann says he has seen no evidence of data centers operating anything other than 24/7 and asks whether anyone is even discussing it. Kimber’s answer is a flat no on economics, unhedged, and rests entirely on his own rounded capital cost figures.
  • The off-grid question stays open inside the guest’s own answer. He argues grid connection should be optional and that his sites could sever from the grid, while also reporting that customers pursuing off-grid data centers keep trying to get the grid extended to the site anyway.
  • The cost comparison is asserted, not shown. The claim that renewables plus reciprocating engines beat a new combined-cycle plant is directional. He gives a price for the plant he is beating and none for the configuration he is selling, and the capacity factors and dates describe projects in development rather than measured operating results.

Cite as: “The case for colocating data centers and generation,” The Energy Transition for the Rest of Us, note on Catalyst with Shayle Kann, February 13, 2025. CC BY 4.0. View the Markdown