The IEA projects power demand from data centers to double by 2030. While renewable energy capacity is also set to increase, especially in Europe, the intermittent supplies provided by wind and solar won’t be sufficient.

The collaborations are part of a critical research thrust within the campus’ Fusion Engineering Institute which brings together students, faculty and external partners around fusion energy research and education.

Artificial intelligence (AI) is transforming industries at an unprecedented pace, but its rapid adoption comes with a significant challenge: energy consumption.

Flexibility is increasingly emerging as a crucial strategy to address all of this at both macro and micro levels. On a macro scale, flexibility is essential for managing energy systems and grids.

The smart grid market is undergoing rapid transition. The power distribution utilities, technology providers and system integrators are exploring smarter ways to exercise choices in the use of distributed energy resources and take control of the electricity distribution systems.

Digital infrastructure is being deployed across various layers of the power grid, from transmission to distribution, enabling better management and optimization of electrical systems.

This starts by asking about who owns AI and how it might be employed in everyone’s best interest. The future belongs to us all.

Tolerant fuel with silicon carbide shells will not only minimise, but completely eliminate the risk of a steam-zirconium reaction – the main cause of almost all past accidents at NPPs.

As digital technologies evolve, so too does their appetite for energy. This correlation is particularly evident in the realm of data centers, which are increasingly burdened by the demands of artificial intelligence (AI).

At its core, a Digital Twin is not merely a simulation but a dynamic digital replica intricately entwined with real-world phenomena.