The rapid growth of data centers is adding enormous new demands to power grids already under pressure to connect renewable energy, retire fossil-fuel plants and electrify transportation and buildings. A recent paper published in Nature Communications proposes a different way to manage that strain: Instead of allowing developers to choose sites and then wait years in an "interconnection queue" while utilities determine whether the grid can handle them, grid planners would identify suitable locations in advance and require large data centers to operate within agreed limits.
Le Xie, the Gordon McKay Professor of Electrical Engineering at the Harvard John A. Paulson School of Engineering and Applied Sciences, and his colleagues tested the approach on a synthetic model designed to resemble a Texas-scale power system.
In their model, they stress-tested the grid against the unusually large loads that some of the biggest AI data-center campuses are beginning to demand. They modeled facilities drawing 1 or 2 gigawatts of power—far larger than a typical data center but in line with some of the largest projects now being planned. A 1-gigawatt facility can draw roughly as much electricity as 800,000 average American homes, and a 2-gigawatt facility twice that.
