Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_SPEN_0066 | |
| Title | Predict4Resilience - Discovery Continuity | |
| Status | Completed | |
| Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 30%; Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts) 70%; |
|
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 10%; PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 10%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 30%; ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 50%; |
|
| 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 |
|
| 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 (100.000%) |
| Industrial Collaborator | Project Contact , SP Energy Networks (0.000%) Project Contact , National Grid Electricity Transmission (0.000%) |
|
| Web Site | https://smarter.energynetworks.org/projects/NIA_SPEN_0066 |
|
| 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. | |
| Publications | (none) |
|
| Final Report | (none) |
|
| Added to Database | 14/10/22 | |
