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Predict4Resilience - Discovery Continuity

Reference Number
NIA_SPEN_0066
Title
Predict4Resilience - Discovery Continuity
Status
Completed
Energy Categories
Other Power and Storage Technologies(Electricity transmission and distribution)
Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts)
Research Types
Applied Research and Development
Science and Technology Fields
PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics)
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics)
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering)
ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences)
UKERC Cross Cutting Characterisation
Systems Analysis related to energy R&D (Energy modelling)
Principal Investigator
Project Contact
SPEN - SP Transmission Plc
Award Type
Network Innovation Allowance
Funding Source
Ofgem
Start Date
01 February 2022
End Date
31 December 2022
Duration
ENA months
Total Grant Value
£150,000
Industrial Sectors
Energy
Region
Scotland
Programme
Network Innovation Allowance
Investigators
Principal Investigator
Project Contact, SPEN - SP Transmission Plc
Industrial Collaborator
Project Contact, National Grid Electricity Transmission
Project Contact, SP Energy Networks
Web Site
Objectives
A desktop feasibility study and analysis to identify the needs of a weather prediction tool and outline the architecture for the tool in line with best practice. Supporting SIF discovery commencement through additional data gathering, formatting, reviewing and validation (primarily network fault analysis records and grid reference points)Considering the addition of topographical and ground permeation data setsSupport and accelerate the transition to SIF alpha Maximise the success of discovery by feeding in additional data gathering, formatting, reviewing and validation to inform the SIF outcomes
Abstract
Predict4Resilience - Discovery Continuity will inform the development of a “Weather Fault” tool which can:Forecast severe and extreme weather events;Improve the accuracy within the current forecasting window;Double the current forecasting window (up to 14 days ahead) and; Predict specific network faults and risks.This project is in place to safeguard the delivery and continuity of the associated SIF project.
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Added to Database
14/10/22