Electricity Pricing in the Age of AI
AI demand is booming, but the real bottleneck is power. Data centers already consume about 5% of US electricity and are doubling every two years. A former quant researcher walks through commodity pricing, grid operations, and generator cost curves to give founders and investors a foundation for energy-market opportunities.
AI demand is exploding. But while there's been plenty of discussion on the GPU and memory supply chains, the real constraint to expanding AI capacity is power.
Data centers already account for ~5% of US power consumption[1]. With data center power demand doubling every two years[2], demand would in theory outpace total US power generation by the mid-2030s.
Building a data center requires thoughtful planning around permitting, surrounding infrastructure, and anticipated power prices. In many cases, the variable cost of power determines whether or not a data center is viable at all.
I'm a former quant researcher at a major hedge fund who covered power and gas, and I've spent much of the last couple of years advising founders and investors on data center buildouts (procuring GPUs, negotiating with coal plants, identifying sites).
This primer on power and data centers is for a broader audience who senses there's an opportunity in energy markets and wants to get up to speed.
By the end of this primer, you'll understand:
Part 1: how power plants work, how data centers are developed, and how companies might respond (for founders/investors).
Part 2: how to price the US power markets (for traders).
If you're really interested in power, I'd advise you to read the whole thing. Hopefully you find it timely and interesting.
Thanks to Tina He and Samuel Spitz for editorial feedback.
Part 1: All About Power Plants
In This Chapter
Commodities are governed by a system balance equation that ties together supply, demand, net exports, and change in storage.
In a competitive market, the price of a commodity equals the marginal cost to serve an additional unit of demand.
Due to the physical constraints required for grid stabilization, the power market in particular is often managed by an independent system operator (ISO).
Before we dive into power, you have to understand where it sits in the broader context. There are three major commodity categories: energy (e.g. power, crude oil, natural gas), agriculture, and metals. All commodities have some basic properties in common that set them apart from other asset classes.
Equities vs. commodities
Equities and commodities are different from each other in two major ways.
First, a stock doesn't have any sort of forcing function collapsing the price to its fundamental value. A commodities contract, in comparison, has a fixed settlement date. On the settlement date, someone will come and physically buy or sell that tradeable commodity. If the corn is too expensive, they're not going to buy it. Prices must collapse to reality.
Second, the underlying companies that equities represent have various relationships with each other that are sometimes hard to untangle, such as contracts, shared customers, supply chains, and so forth. Commodities feed into each other in a much more straightforward way. A wellhead drilled into the ground results in some amount of crude oil and some amount of natural gas (mostly methane).[3] Crude oil is great because it can be shipped easily all over the world. Its global market means that prices abroad impact us here in the US, hence the widespread concern around the closure of the Strait of Hormuz. That crude oil has a market price, and refineries buy it to produce distillates: petroleum products like gasoline, diesel, and jet fuel. That's the same gasoline that you buy at the gas pump.
If a well produces almost no oil, we call it a dedicated gas well, and that's where the majority of domestic natural gas comes from. Natural gas cannot be shipped in its raw form so easily, but you can cool it and ship it in the form of liquefied natural gas (LNG). The prices for natural gas abroad have lately far exceeded the prices in the US, so we export as much as we can. As a result, natural gas prices abroad don't impact us here in the US as much in the short-term[4]. In a simplified sense, the natural gas we have here in the US is the supply that couldn't be physically exported[5]. Natural gas is consumed by some industrial use cases (e.g. chemical manufacturing), residential-commercial (e.g. heating your home), and power[6] - the focus of this primer.
The system balance equation
The commodities market has to "solve" in a particular way at each location:
Supply = Demand + Net Exports + Change in Storage[7]
Supply is the amount that the local merchants need to produce. Demand is how much is consumed at a specific location. Net exports are the units exported from a region minus whatever was imported. Change in storage is the quantity stored minus the amount drawn from storage. This equation must hold true at every location in the entire world. There are additional constraints:
You can only transfer so much supply from one point to another (only so many trucks/ships available, or a power line can only support so much transmission - more on this later)
You can't draw more from storage than you put in, and you can only store a maximum amount of supply at a given time
Each of the above variables is a function of price. Price is the amount of money that consumers pay and suppliers receive. If price increases at a location, then it becomes economical to produce more supply there (less efficient producers can now serve the demand without losing money), and the local demand goes down. Of course, it'll also decrease net exports (if there were any at all) and incentivize more supply to come out of storage (if any exists). The price will change everywhere until the system "balances."
At any given time, all of the units that are sold, whether the "first" unit sold or the "last" one, are sold at the same price. You might think that if it's really cheap for a supplier to produce goods, maybe they'd try to charge a little less. But in a competitive market, you don't personally get to "pick" the price at which you sell. This is a critical assumption for how commodities pricing works. So what determines that market price?
To produce the last unit of supply to meet demand/storage/exports, we would pick the cheapest producer that is not at full capacity. The cost of producing that unit of supply is called the "marginal cost." For example, if we need 100 barrels of oil, maybe Producer A offers 99 barrels at $5/barrel, and Producer B has the next cheapest offer at $6/barrel. The marginal cost is then $6.
In a competitive market, the market price that everyone sells at is exactly equal to that marginal cost. Note that if you're the producer who provided the last unit of supply (i.e. Producer B), you make $0 of profit on that last unit; the price is equal to your marginal cost. This property is called "marginal pricing"[8]. It will be extremely relevant for power pricing.
A simple justification for why this is true: Let's pretend like that marginal producer refuses to sell at their marginal cost. They're only willing to sell for higher. The issue is that the market is competitive. There's another supplier who's going to undercut that attempted market price. This will keep happening until the market price is exactly equal to the marginal cost of the cheapest producer that can offer the additional unit of the supply. If the price were lower, then it would be uneconomical for anyone to supply that unit.
Power is special
Power is injected into or withdrawn from the grid at physical "buses"[9]. These buses are numerous and are spread out within every city in the US. They're all connected via transmission lines.
To rewrite the equation above in electricity terms for a specific location, which could be a physical power bus, a whole city, or an entire state:
Generation = Power Consumption + Net Power Exports + Change in Storage + Losses
Generation is the electricity produced by power plants at that location, which we'll dive into later. Consumption is the usage of power at a location.
Exports/transmission occurs over a physical power line. When you push power through it, it heats up. That heat means it loses a little bit of power along the way. The metal also expands when it's hot. The more power you push through, the hotter the line gets, and the more it expands. If the power line expands too much, the power line could droop too low and light a tree on fire. As a result, each transmission line comes with a "rating." That's the maximum amount of power that can be pushed through that line.
Storage, in this case, refers to batteries, pumped storage, compressed air, and so forth. Losses, as mentioned, occur when power is transmitted over a power line.
There's one last thing that makes power different from the other commodities. If I buy 1000 barrels of oil, I can literally take physical delivery of those barrels of oil. If I buy 1 megawatt-hour (MWh) of power on the market, that doesn't necessarily mean I can just go and plug 1000 GPUs into the wall and start consuming 1 MW for an hour.
That's because the power market has a central nonprofit authority called the independent system operator (ISO). They take in all the bids from local utilities (load serving entities) and all the offers from local power plants, and they compute the efficient market price at each location, plus intended generation and flows. Then throughout the day, they tell each generator how much power they need to produce based on how much consumption they anticipate at each location. (In some regions, there is no ISO, but an entity called a balancing authority still ensures the grid stays stable.)
The reason we need the ISO is to keep the grid balanced. When you draw a ton of power from the grid, you lower its frequency.[10] The opposite holds true if you're pumping power in. But these generators are like $100M+ machines that are rotating at the exact speed to produce power at the right frequency (60 Hz). We'll talk more about that rotation later, but all you need to know right now is that if the frequency of the grid differs from the correct frequency, it can cause serious damage to the generators.
In extreme cases, if someone is really consuming too much power, the balancing authority will cut them off. Sometimes, people aren't even trying to screw up the grid, but there just isn't enough supply to meet demand, like if major generators go on outage, or if it's a really cold winter and everyone is consuming a lot of power. To spare the generators, we're forced to resort to brownouts or blackouts, where parts of the grid are cut off.
It might seem like as a generator, you're subject to the day-to-day whims of the ISO, who tells you exactly how much you're going to get paid. That said, there are a variety of ways to trade power and hedge a physical plant if you own one, which we'll get into. Most data center operators hedge in some way to ensure predictable economics.
In This Chapter
Natural gas or coal generators are often the units that set the power price.
The engineering of a natural gas generator implies its cost structure, captured by its startup costs and effective heat rate.
As I mentioned, the power price comes from the marginal cost to produce power. But where does that cost curve even come from? Introducing the power plant.
Reading the EIA-860
A power plant comprises one or more generators, sometimes called "units." Every generator has some capacity, which is the maximum amount of power it can produce. It's measured in megawatts (MW) for most units, or gigawatts for something like a nuclear plant. Nearly every power plant on the US grid greater than 1 MW can be found in the EIA-860[11], a document that the Energy Information Administration (EIA) puts together annually. Sometimes the EIA-860 isn't exactly right, but it's good enough to get started. You can just look up a power plant to find more detailed specs if you're not sure.
Common renewable plants include solar plants and wind plants. Other types of generators are hydro, nuclear, natural gas (just called "gas" or "nat gas"), coal, and really inefficient unit
[truncated for AI cost control]