Projects
Gas transmission asset resilience through network transitions Discovery
As the energy system transitions away from unabated natural gas and parts of the gas network are either decommissioned or repurposed to support the UK’s net zero goals there is an increased risk of unintentional third-party damage to the network. Any supply interruptions to the transmission network would directly impact security of supply across the country and have a significant cost to customers including power generators industry and domestic users. This project will investigate the benefits of moving from expensive low frequency manual network inspections to innovative AI assisted surveillance technologies in combination with satellite imagery and drones.
Digital Decommissioning of Large-Scale Equipment
As the Gas Transmission network responds to a changing energy system from drivers including the transition to net zero and to changes in supply and demand we are required to decommission our large site based assets in certain locations. Decommissioning is a multifaceted endeavour that goes beyond the conclusion of an asset’s lifespan and encompasses a complex deconstruction process. This project will implement an innovative AI tool to help National Gas manage decommissioning to drive benefits such as increasing the accuracy of cost estimation ways to reduce carbon emissions identify re-use potential and lower the overall time taken to decommission.
Innovation Highways Phase 3
Following on from the success of phase 2 the Innovation Highway phase 3 project will develop Project Synthesis a new AI-enabled capability within the Ideaonomy Highway platform. Project Synthesis will surface compare and synthesise historical innovation-project evidence against current SGN and National Gas innovation problems and challenge statements.
The capability will ingest and normalise project evidence from the Smarter Networks Portal (SNP) and Future Energy Networks (FEN) portal including HTML and PDF sources such as closure reports Project Eligibility Assessments (PEAs) and Annual Progress Reports. It will provide evidence-linked AI summaries showing what has worked what failed what has been learned and what remains unresolved so that learnings and outputs of previous knowledge can be more easily accessible.
This phase will help the energy networks reduce duplication of innovation spend improve the quality and auditability of evidence underpinning new project proposals shorten the time from problem identification to a fundable project and increase confidence under RIIO-GD3 scrutiny.