Projects: Projects for InvestigatorUKERC Home![]() ![]() ![]() ![]() ![]() |
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Reference Number | ENA_10025639 | |
Title | Digi-GIFT | |
Status | Completed | |
Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 100%; | |
Research Types | Applied Research and Development 100% | |
Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 50%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 50%; |
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UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
Principal Investigator |
Project Contact No email address given SPEN - SP Transmission Plc |
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Award Type | Network Innovation Allowance | |
Funding Source | Ofgem | |
Start Date | 01 March 2022 | |
End Date | 01 May 2022 | |
Duration | 2 months | |
Total Grant Value | £141,657 | |
Industrial Sectors | Power | |
Region | Scotland | |
Programme | ||
Investigators | Principal Investigator | Project Contact , SPEN - SP Transmission Plc (100.000%) |
Industrial Collaborator | Project Contact , National Grid plc (0.000%) Project Contact , SP Energy Networks (0.000%) Project Contact , National Grid Electricity Transmission (0.000%) |
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Web Site | https://smarter.energynetworks.org/projects/ENA_10025639 |
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Objectives | ||
Abstract | We will design a holistic data connector (Digi-GIFT) to communicate directly to asset monitors pulling back real-time asset data, alerts and analytics. In the Discovery phase, we plan to: Define the scale of the problem and quantify the benefits for solving the problem Deliver details of a Digi-GIFT platform design and functional specifications using commercially available technologies Identify requirements for data driven cyber security methods Technology review of AI and machine learning based cyber intrusion detection and response Identify and evaluate potential suppliersAs a result, we will have a clear functional specification, detailed cost-benefit analysis and a technology appraisal. Outputs will provide recommendations for the Alpha phase, where the use cases will be identified for a practical demonstration in Beta, the first time in the UK energy sector.This project meets the scope of the call though: Interconnecting assets that allow network customers and consumers to interact through a common interface, improving the visibility of infrastructure and assets Enabling interoperability of digital products and data exchanges between different parts of the organisation Securing the platform to allow operators and customers better access to data and improving the resilience of networks against cyber attacks Acting as an enabling function for potential digital benefits (i.e. FITNESS, Constellation) across all electrical network operator and allowing deployment of new applications across an increasingly secure, automated, and digitalised environmentSP Transmission – network licensee covering the Central belt of Scotland leading the industry on substation digitalisation. This includes pioneering work on Future Intelligent Transmission NEtwork SubStation (FITNESS). We will be a user as well as taking overall accountability for delivery.SP Distribution – works closely with SPT on the digitisation and services for customers. SPD will contribute specialist network knowledge, demonstration resources, industry contacts, and access to datasets.University of Manchester – one of the top global Universities with key expertise in digital substations, digitalization, communications, and cyber security. They possess prior experience in delivering digital innovation with UK TOs.National Grid Energy Transmission – licensee for England and Wales, both NGET and UoM have worked closely with SPT covering transmission and cyber security over the past years. They are also user of the solution and will input into the requirement development.With this consortia, we will ensure our users (UK TOs) needs for secure, standardised high-speed data sharing are accelerated so that they can realise the benefits from a digitised electricity network. | |
Publications | (none) |
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Final Report | (none) |
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Added to Database | 14/10/22 |