Completed Clean Energy Computing & AI

Smarthubs SLES

In plain English

AI plain-English summary

A large-scale UK demonstrator will wire up heat, power, and transport into a single, internet-connected energy system to prove that local smart grids can pay for themselves. The problem is that smart grids—local networks that balance energy generation with demand—have stalled. They lack open, interoperable software systems, stable revenue streams for storage and demand-shifting, and local leadership to coordinate multiple energy types (electricity, heat, fuel). Without these, the technology remains too expensive and risky to deploy at scale. This demonstrator tackles all three barriers at once. It builds hybrid systems across heat, power, and transport, linked by an interoperable Internet of Things layer that functions as a virtual private network. The consortium targets a 30% reduction in future deployment costs across the portfolio of technologies and business models. If successful, the project will provide hard evidence on maintenance, operation, and revenue profiles, making smart local energy systems self-fundable by the early 2020s. For the public, this could mean cheaper, more resilient local energy that integrates electric vehicles and heat pumps without overwhelming the national grid.

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"Smartgrids have not been deployed at scale due to the lack of 1) open architecture IoT systems linking generation and demand 2) stable markets for storage and demand shifting and quantifiable service revenue streams 3) local leadership in the deployment of smart grids enabling demand assurance and multi-vector approaches (IET2018, ADE 2018).Smarthubs SLES will tackle these innovation challenges via a large scale demonstrator. This demonstrator deploys hybrid systems across heat, power & transport connected via interoperable IoT layers that functions as a highly heterogeneous Virtual Private Network (VPP). The consortium is targeting a 30% reduction in future SLES deployment costs across the portfolio of technologies and business model innovations. The outputs of this demonstrator will lower provide evidence for the maintenance, operation and revenue profiles for these technologies and lead to SLES becoming self-fundable by the early 2020s."

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