Deep Green & Zendo: Data Centre to Heat UK Swimming Pool

Deep Green has partnered with energy technology company Zendo Energy (Zendo) to support a new generation of AI-ready data centres powered by renewables and intelligent energy management systems.

The partnership begins at Deep Green’s flagship facility in Urmston, Greater Manchester, where Zendo has secured a clean energy supply agreement for the 400kW site.

Designed for high-performance computing and AI workloads, the facility supports rack densities of up to 150kW while integrating heat reuse systems to improve operational efficiency.

The site captures excess heat from servers and redirects it to Trafford Leisure Centre’s swimming pool, reducing energy costs for the facility by approximately £80,000 (US$109,000) per year while cutting CO₂ emissions.

The project reflects increasing pressure on the UK’s data centre sector to balance rising AI demand with energy efficiency and grid constraints.

AI workloads and distributed infrastructure

Deep Green’s approach focuses on deploying smaller modular data centres close to locations where waste heat can be reused.

These sites are designed to support local infrastructure such as swimming pools district heating systems and public buildings.

The Urmston deployment highlights how distributed facilities can support high-density AI workloads while also delivering local energy benefits.

According to the company, this model allows new capacity to be deployed in weeks rather than years, reducing delays linked to planning approvals and grid connection challenges.

Demand for data centre capacity has increased as AI adoption expands across enterprise and cloud environments.

At the same time, operators continue to face limitations around power availability and infrastructure development timelines.

Deep Green says the partnership with Zendo combines scalable energy management with renewable electricity supply to support future compute growth.

ENGIE is providing renewable energy for the Urmston facility, while Zendo’s Energy OS software platform manages forecasting monitoring and capacity optimisation.

The software is designed to help operators adapt to fluctuating energy requirements associated with AI training and inference workloads, where power demand can rise rapidly depending on system utilisation.

Energy flexibility and heat reuse

Heat reuse forms a central part of the project’s operating model.

Rather than releasing excess thermal energy from server operations into the atmosphere, the system redirects captured heat into the nearby leisure centre’s swimming pool heating infrastructure.

This approach improves overall energy efficiency while reducing operational costs for the connected public facility.

Hazel Lim, Chief Financial Officer of Deep Green, says the partnership supports the company’s long-term operational strategy.

“Zendo has been a strong partner in shaping our power procurement strategy for our data centres,” she says.

“We are excited to draw on their expertise to develop a highly efficient, cost-effective approach that maximises value for our colocation clients by fully capturing the advantages of heat reuse.”

As AI infrastructure grows, operators are placing greater emphasis on energy flexibility and sustainable design.

Rack densities of up to 150kW create larger thermal loads than traditional enterprise infrastructure, increasing the importance of efficient cooling and heat management systems.

Managing power demand for AI infrastructure

Zendo says its Energy OS platform is designed to support changing energy requirements as AI infrastructure scales.

The company positions energy management as a critical operational factor for data centres handling variable high-density workloads.

Drew Barrett, COO and Co-Founder of Zendo Energy, says: "Deep Green has an ambitious vision to accelerate data centre deployments at pace, and we're proud to be the energy technology partner making sure energy is never the bottleneck.

”The flexibility we've built into this contract is designed to grow alongside their trajectory, and we see this as a blueprint for what the next generation of data centres should look like: flexible, sustainable and built for scale."

The partnership combines modular infrastructure renewable power procurement and local heat reuse within a single deployment model, supporting AI workloads while addressing operational energy demands.