Drax Partners With Brookfield For Biomass AI Data Center

Drax is moving forward with an ambitious plan to construct a biomass AI data center at its North Yorkshire power plant. By teaming up with investment firm Brookfield and its UK-based infrastructure arm Radiant, the energy operator aims to address the massive electricity demand created by the country’s rapid adoption of advanced machine learning models. This proposed biomass AI data center development carries a theoretical £20 billion price tag, though the project currently sits in the early stages of planning and regulatory review.

Biomass AI Data Center: Infrastructure Advantages and Grid Capacity

The site selection leverages Drax’s existing industrial footprint, which includes access to 4GW of grid capacity and 2.6GW of active generation. Because the company already maintains critical cooling and power infrastructure, it claims a distinct advantage over competitors who struggle to secure connection points for high-density server farms. The initial phase of this biomass AI data center project targets 100MW of capacity by 2028, requiring an investment of £2.5 billion. Future phases could scale the operation beyond 1GW, potentially positioning it as one of the largest computing hubs in Europe.

The Sustainability and Regulatory Hurdle

A significant part of the strategy involves powering the servers directly from the plant’s generation capacity. Drax hopes to utilize a long-term power purchase agreement to supply up to 500MW of electricity from its wood pellet generators to the biomass AI data center. However, this remains subject to government approval. The company currently operates under a government-backed Contract for Difference that expires in 2031, and any redirection of energy must pass rigorous sustainability and value assessments by ministers.

Initial capacity: 100MW by 2028.
Proposed total potential: Over 1GW of power.
Investment model: Joint venture with Brookfield and Qai.
Strategic location: North Yorkshire with existing fiber and 4GW grid access.

What This Means for Future Computing Needs

The proposal highlights the growing friction between energy-hungry silicon and national grid limitations. While proponents argue that a biomass AI data center offers a more stable, localized power source than traditional grid-dependent facilities, public opposition to large-scale data infrastructure is mounting. Communities are increasingly vocal about the environmental impact and local electricity prices. Ultimately, the project’s success depends on securing a major tenant and satisfying regulatory bodies that prioritize grid stability and carbon footprint transparency over pure computing capacity.

For full official background and direct documentation, read the source coverage on theregister Reporting.