Projects: Projects for Investigator |
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Reference Number | ENA_10025651 | |
Title | EN-twin-e | |
Status | Completed | |
Energy Categories | Other Cross-Cutting Technologies or Research(Energy Models) 50%; Other Power and Storage Technologies(Electricity transmission and distribution) 50%; |
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Research Types | Applied Research and Development 100% | |
Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 100% | |
UKERC Cross Cutting Characterisation | Systems Analysis related to energy R&D (Energy modelling) 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 | £161,043 | |
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%) |
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Web Site | https://smarter.energynetworks.org/projects/ENA_10025651 |
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Objectives | ||
Abstract | Greater real-time visibility of our transmission and distribution networks creates value for ourselves, NGESO, service providers, and ultimately the energy consumers who pay for the services required to balance the transmission system. During our discovery project we will determine the minimum viable product with NGESO as a primary user and with our technology and academic partners we will explore the art of the possible and then set out how we aim to achieve, and validate, our big idea to develop a digital twin that spans transmission and distribution.The objectives for our discovery project are:1. Establish the minimum viable product and the highest value use cases.2. Determine the art of the possible based on available technology and data availability,3. Outline an architecture for an interoperable digital twin considering best practice,4. Develop a strategy to verify accuracy of our digital twin.Project partners:SPEN• SPT (Lead) is the transmission network operator for central and southern Scotland and will be the lead organisation responsible for the delivery of the discovery phase. SPT will provide overall project management and governance as well as contributing to each of the work packages.• SPD is the distribution network operator for central and southern Scotland, which is the predominant adjoining distribution network to SPT and therefore a key contributor and stakeholder to the digital twin. SPD will contribute information on existing and future digital systems that will contribute to the digital twin.NGESO• NGESO along with SPEN will be a user of the digital twin and will be critical in ensuring the interoperability and repeatability of the solution across all transmission and distribution networks. Within the discovery phase NGESO will contribute to the requirements gathering work package to help define the digital twin MVP.University of Strathclyde (UoS)• UoS conducts extensive research council, European Commission and industry- funded research, all closely related to the proposed work. UoS will lead the activities associated with the development of required specifications for the network digital twin to meet the system balancing requirements and conduct comprehensive testing and validation of the network digital twin for the targeted application.Digital Catapult• Digital Catapult, the UKs leading advanced digital technology R&D centre, will perform the integration role across the consortium partners, coordinating between academic experimentation and industrial roll out. The Digital Catapult will lead the Data and Architecture work package. | |
Data | No related datasets |
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Projects | No related projects |
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Publications | No related publications |
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Added to Database | 14/10/22 |