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Projects: Projects for Investigator
Reference Number NIA_NPG_025
Title Lightning Prediction
Status Completed
Energy Categories Other Power and Storage Technologies(Electricity transmission and distribution) 50%;
Other Cross-Cutting Technologies or Research(Other Supporting Data) 25%;
Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts) 25%;
Research Types Applied Research and Development 100%
Science and Technology Fields ENVIRONMENTAL SCIENCES (Geography and Environmental Studies) 5%;
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 45%;
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 45%;
ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 5%;
UKERC Cross Cutting Characterisation Not Cross-cutting 80%;
Systems Analysis related to energy R&D (Energy modelling) 20%;
Principal Investigator Project Contact
No email address given
Northern Powergrid
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 March 2018
End Date 01 September 2020
Duration ENA months
Total Grant Value £250,000
Industrial Sectors Power
Region Yorkshire & Humberside
Programme Network Innovation Allowance
Investigators Principal Investigator Project Contact , Northern Powergrid (100.000%)
  Industrial Collaborator Project Contact , Northern Powergrid (0.000%)
Web Site https://smarter.energynetworks.org/projects/NIA_NPG_025
Objectives This project aims to take existing historical lightning data coupled with new real-time data and analysis and , through a programme of software development, produce an API (Application Programming Interface) based, mobile tool with a web interface capable of predicting lightning risk to people and risk of network asset damage with a much improved geographic certainty over currently available systems. Implications for operational processes to support the improved notice and analysis of lightning strike location will be undertaken. The scope of the project is all assets at all voltages potentially subject to damage lightning strikes. The key impact is expected to be at HV and EHV. The project will: Identify and develop suitable existing data sets and data analysis algorithms and techniques which could be used to provide fault anticipation functionality Develop a web-enabled software tool, building on existing and new databases, to predict lightning activity to a geographic area of 1km x 1km. Field test, verify and refine this tool. Assess operational implications of tool use.
Abstract Lightning prediction application.
Publications (none)
Final Report (none)
Added to Database 14/12/22