Projects
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 | |
