Stellium Cuts Data Centre Emissions with Renewables

A high-performance computing data centre in the UK is showing how energy sourcing is becoming as critical as compute capacity in the next phase of AI infrastructure growth.

Stellium Datacenters, based near Newcastle, UK, has reported a 75% reduction in carbon emissions after changing how it procures electricity. It has moved away from annual accounting towards an hourly matched renewable model.

The shift comes as data centres face closer scrutiny over their energy use.

Growth in AI and cloud computing is increasing electricity demand, raising concerns about pressure on local grids and environmental impact.

MPs are now examining the sector through the Environmental Audit Committee, focusing on power consumption and infrastructure strain.

Stellium matches electricity consumption with renewable generation in real time. Instead of relying on yearly averages, the site aligns its usage hour by hour with output from renewable sources across the UK.

Rethinking how data centres use energy

The company is working with renewable supplier Good Energy to source electricity from more than 3,300 independent UK generators.

This allows Stellium to track when its power demand is met by renewable supply, reaching an hourly matching score of 95.4%.

That figure is more than double the market average of around 43%.

Further improvements are planned. Battery storage is expected to raise the matching rate to between 97% and 98%, while also providing more flexibility in how energy is used and stored across the site.

This model differs from traditional renewable procurement. Many data centres rely on certificates that confirm renewable energy has been generated somewhere on the grid over a year.

While this supports clean energy production overall, it does not guarantee that the electricity used at a specific time is renewable.

This means facilities can still draw on fossil fuel generation during peak demand periods, even when operating under “100% renewable” tariffs.

Hourly matching addresses this gap by linking consumption directly to generation at the time it occurs.

Transparency as a competitive factor

Stellium says the change alters how it engages with customers and regulators. The company can now identify which renewable assets are supplying power, when that power is delivered and where it originates.

Paul Mellon, Operations Director at Stellium, says: “Data centres often get bad press for their high, inflexible energy use.

“But this shows that AI and high-performance computing don’t have to come at the expense of the grid or the climate.

“By switching to hourly-matched renewable power, we’ve been able to cut emissions dramatically while giving customers the transparency they increasingly demand.”

As AI workloads increase, companies are under pressure to demonstrate not only efficiency but also the origin and timing of the energy they consume.

Nigel Pocklington, CEO of Good Energy, says: “By matching electricity use with renewable generation hour-by-hour, Stellium can show when clean power is actually being use.

“That kind of transparency cuts carbon emissions, reduces reliance on fossil fuels at peak times and proves that digital growth and a resilient energy system can go hand-in-hand.”

Scaling AI without overwhelming the grid

The timing of Stellium’s transition reflects broader changes across the data centre sector.

The UK is preparing for further expansion in capacity to support AI, cloud and data-driven services. Preliminary analysis for the government found that UK data centre capacity could rise to between 3.3 GW and 6.3 GW by 2030.

This growth has faced scrutiny from policymakers and local communities.

Hourly matching offers one way to address these concerns. By aligning demand with renewable supply, data centres can reduce their impact on the grid during periods of peak usage when fossil fuel generation is more likely to be used.

Battery storage adds another layer, allowing operators to store excess renewable energy and deploy it when generation drops. This helps balance supply and demand while maintaining operational stability for compute-intensive workloads.

Stellium’s model shows how energy procurement is moving closer to real-time accountability. Operators are beginning to link consumption directly to generation, providing a clearer picture of environmental impact while supporting the demands of modern data centre workloads.