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Eye in the Sky Utilising satellite data to improve grid resilience

Reference Number
NGET/Eye_in_the_Sky/SIFDataDig
Title
Eye in the Sky Utilising satellite data to improve grid resilience
Status
Completed
Energy Categories
Other Power and Storage Technologies(Electricity transmission and distribution)
Research Types
Applied Research and Development
Science and Technology Fields
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Project Contact
National Grid Electricity Transmission
Award Type
Network Innovation Allowance
Funding Source
Ofgem
Start Date
01 August 2022
End Date
01 February 2023
Duration
6 months
Total Grant Value
£440,000
Industrial Sectors
Power
Region
London
Programme
Investigators
Principal Investigator
Project Contact, National Grid Electricity Transmission
Industrial Collaborator
Project Contact, National Grid Gas Transmission
Web Site
Objectives
Abstract
This project brings forward 3 of 12 asset monitoring use cases studiedduring the Discovery phase, which at maturity would collectively deliver anestimated 22 million GBP (NPV over 10 years) value to Networks and customersthrough a combination of cost savings by replacing manual ground and aerialmonitoring, and cost avoidance through increased risk awareness. A switch awayfrom manual monitoring will also lower emissions associated with Operation &Maintenance activities. This is closely aligned with the Data and Digitalisationchallenges aims to improve asset visibility and increase monitoring, efficiency,reliability, security, and resiliency of networks.The project will investigate the development of aremote, automated nationwide land and asset motion solution based on the use ofSAR satellite imagery and different InSAR analysis techniques. The project willinvestigate how the accuracy and concentration of land and asset motion datapoints can be improved and integrated into NGETs asset monitoring systems. Theproject will also investigate the development of a remote, automated, nationwidenetwork monitoring solution based on the use of sub meter resolution opticalimagery. The solution will look at risk and change issues in general andspecifically unauthorized construction and storage of building materials. Theproject will advance understanding of the defects/changes experienced by thenetwork, their size, frequency, and risk priority and test EO detection likelihood,with a view to integration into NGETs asset monitoring systems.
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Added to Database
09/04/25