
"Bradford is to be the site of one of the UK's first projects to reuse waste heat from a datacentre, after operator Deep Green this week gained planning consent for a 5.6MW facility. The datacentre will be built next to and integrate with heat generation at the under-construction Bradford Energy Centre."
"Instead of venting heat drawn away from computer equipment into the atmosphere, the Deep Green datacentre will transfer excess heat into the Bradford Energy Network and make it available to buildings in the area. The datacentre will use a closed-loop cooling system, which practically eliminates water wastage, and will enable the transfer of heat for further use."
"The site - near the junction of Listerhills Road and Thornton Road - aims to provide artificial intelligence (AI)-capable datacentre resources, which are estimated to come on stream around the end of 2028, after a 24-month construction period. Deep Green hopes the Bradford site will provide high-density colocation capacity for universities, public sector bodies and businesses that want to run AI inference and data-intensive workloads."
""The UK needs more datacentres. But it does not need more waste. Our model is simple - use the electrons twice. First to power AI and high-performance computing. Then to heat homes and buildings" Mark Lee, Deep Green"
Deep Green received planning consent for a 5.6MW datacentre in Bradford that will reuse waste heat instead of venting it to the atmosphere. The facility will be built next to and integrated with the under-construction Bradford Energy Centre near Listerhills Road and Thornton Road. The project targets AI-capable datacentre resources coming online around the end of 2028 after a 24-month construction period. Excess heat from computer equipment will be transferred into the Bradford Energy Network for use by nearby buildings. A closed-loop cooling system will practically eliminate water wastage and support heat transfer. The site is intended to provide high-density colocation capacity for universities, public sector bodies, and businesses running AI inference and data-intensive workloads.
Read at ComputerWeekly.com
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