Artificial intelligence data centers face power supply challenges
AI for AI: Optimizing Additional Infrastructure Build-out to Power Artificial Intelligence Data Centers
Artificial Intelligence
Summary
Data centers needed for AI are growing quickly and need more electricity. This growth is causing electricity prices to rise because the power grid isn’t adding new capacity fast enough. The researchers created a model that looks at how supply and demand for electricity might change in uncertain ways and how investors decide when to build new power plants. They found that uncertainty about future electricity needs and risks can make investors hesitant, which could lead to higher prices or shortages.
What this means in practice
- •For data center planners: Plan expansion projects accounting for electricity supply uncertainties and investment risks identified by the model to avoid unexpected costs.
- •For electric utility investors: Use the stochastic control framework to optimize timing and scale of new power generation investments responding to fast-growing data center loads.
Tested on simulated data.
Authors
Alexander Crosier, Kyle Onghai, Ronnie Sircar
Abstract
The twenty-first century's transformative technology, artificial intelligence, is increasingly constrained by the twentieth century's transformative technology, the electricity grid. Rapid growth in electricity demand from data centers is leading to higher electricity prices, without a compensating supply-side response. We develop a framework linking data-center load growth, available generation capacity, and market-clearing prices to understand this phenomenon. We first analyze a deterministic model to show how differing estimates of demand and supply growth rates affect prices. We then model the expansion of new data centers and their associated electricity demand, together with build-outs of new electricity supply, as stochastic processes,resulting in probabilistic distributions of supply, demand, and prices rather than a single forecast. Finally, we formulate generation expansion as a stochastic control problem in which a revenue-maximizing investor dynamically chooses the intensity of supply-side investments. The analysis highlights a central challenge of the data-center build-out: even when rapid demand growth increases the need for new generation, the uncertainties related to load forecasts, development execution risks, and value cannibalization from overbuilding capacity may weaken incentives to invest at the pace required to keep electricity prices stable.