With the UK attempting to accelerate towards a hyper-connected future, the environmental cost is becoming increasingly clear. One of the most pressing - and often overlooked - challenges is the growing water consumption of data centres.
These facilities, which power everything from AI to cloud computing, rely heavily on water to cool high-performance IT equipment. With reports of UK data centres estimated to use close to 10 billion litres of water annually, there's no doubt that serious concerns are being raised, especially in regions already facing water stress.
With more than 477 data centres currently operating in the UK, and many more planned, the pressure on local resources is mounting. This blog takes a look into potential options which will enable us to rethink how we manage water in the digital age.
As we’ve indicated, the projected growth in data centre developments across the country will inevitably intensify the demands we place on our existing water resources.
Simply put, the only way to avert a water shortage crisis is through innovation, and these innovations are already underway:
The cooling methodologies chosen by data centres reflects factors such as surrounding climate, energy efficiency targets, and clients’ requirements.
Some of the more common strategies employed by data centres include:
Future data centre developments need to include water resource demand assessments as a critical factor in submitting planning applications.
This includes local water availability and any projected water stresses, together with an assessment of the ability of the existing infrastructure to support the facility.
As we indicated in the introduction, it shouldn’t be forgotten that along with direct use, data centres also have a substantial indirect water footprint linked to their electricity consumption. Power generation, particularly from thermal power plants (coal, gas, nuclear), is a water-intensive process, requiring water for cooling turbines and other equipment.
The UK government needs to mandate comprehensive and standardised reporting of water abstraction and consumption for all data centres, as is the case for energy reporting. The aim is to ensure data is available for informed policy-making and public scrutiny.
Meanwhile, LPAs need to rigorously assess the water impact of new data centre applications, with clear guidelines for rejecting developments in highly water-stressed areas unless robust, sustainable water solutions are guaranteed.
There is also a need for greater collaboration between government bodies (Defra, Environment Agency, Ofwat), water companies, industry trade associations, and data centre operators to share best practices and develop industry standards for water resource management.
While laudable, the UK's ambition to be a global leader in the digital economy and AI must be pursued with proactive management of its environmental consequences.
The growing water consumption of data centres represents a significant challenge, particularly with the country facing increasing water stress. Local communities should not be disadvantaged for basic service provision because they have a new data centre built in their midst.
However daunting this challenge, it could also be an opportunity for the UK to demonstrate innovation and leadership to the world.
By embracing cutting-edge cooling technologies, implementing comprehensive water recycling and reuse strategies, being more considered about site selection, and establishing clear regulatory frameworks, the UK can set a global benchmark for sustainable data centre operations.
This integrated approach will not only mitigate environmental risks but also enhance the long-term resilience and social license to operate for the digital infrastructure that underpins our modern lives.
What are the most sustainable cooling solutions for data centres?
Sustainable cooling methods include closed-loop and adiabatic systems that recycle water and direct-to-chip cooling that reduces wastage.
Many operators are also using AI analytics to monitor water use in real time and detect inefficiencies before they become costly leaks or environmental risks