CASE STUDY: Green Smart Community Integrated Energy Systems (GreenSCIES)
GreenSCIES is a smart local energy system that delivers low-carbon heating, cooling and power to residents and businesses in Islington, while also helping to power the growing demand for electric vehicles. Smart control technologies optimise energy use across the network, reducing bills and tackling fuel poverty head-on. Innovative technical and business model approaches were developed for the provision of smart energy systems that significantly reduce carbon emissions and result in smaller bills for the consumer. The smart energy grid will also help provide affordable warmth and lower local pollution, with a clear path for replication elsewhere in the UK.
This is a community-based project with wide stakeholder engagement including residents and businesses, but also with policy makers and replicators. GreenSCIES is an innovative ground-breaking project that will provide an investable low carbon scheme unique in the UK.
GreenSCIES aims to reduce carbon emissions and tackle fuel poverty across the London Borough of Islington. The project will help Islington Council achieve its ambition of being a net zero carbon borough by 2030 and also aims to support the Government’s ten point climate action plan for a green industrial revolution launched in November 2020.
The detailed design will provide a 5th generation heat network with distributed low carbon heat pumps to supply heating/cooling using an ambient loop to exchange energy between buildings, enabling recovery of low-grade waste heat from data centres.
Each of the decentralised energy centres will provide hubs for photovoltaic (PV) electricity generation, electric vehicles, and vehicle-to-grid charging/storage alongside large scale batteries. The hubs can then be used for Demand Side Response to flex with the electricity grid requirements/tariffs using a sophisticated artificial intelligence control system. This will be the first large smart energy system in the UK that integrates energy technologies across heat, power, and transport, allowing widescale replication.