Projects
Projects: Projects for Investigator |
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| Reference Number | NIA2_NGET0041 | |
| Title | Wet Weather Data for OHL Noise Predictions | |
| Status | Started | |
| Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 100%; | |
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 50%; ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 50%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given National Grid Electricity Transmission |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 July 2023 | |
| End Date | 31 March 2025 | |
| Duration | ENA months | |
| Total Grant Value | £269,079 | |
| Industrial Sectors | Power | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , National Grid Electricity Transmission (100.000%) |
| Industrial Collaborator | Project Contact , National Grid Electricity Transmission (0.000%) |
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| Web Site | https://smarter.energynetworks.org/projects/NIA2_NGET0041 |
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| Objectives | "The proposed NIA project will carry out research to: Identify all the weather-related issues of OHL noise and project requirements, ensure whether the proposed methodology meets National Grid requirements and may involve exploring alternative methodologies.Update current set of wet weather data used by National Grid for the most recent decade (2011 to 2020) and most recent 30 years (1991 to 2020) and analyse to identify any differences.Provide the updated wet weather data in a format of value to National Grid.Research whether weather observation datasets, radar and relevant numerical weather prediction (NWP) data can be used to produce similar datasets and maps to those currently used by National Grid for determining the duration of low-level rainfall amounts and fog, mist and drizzle.Research the ability and value of current climate models in predicting low-level rainfall amounts, fog, mist and drizzle over the UK, and to determine whether such projections can be used by National Grid to predict changes in OHL noise and so aid future asset investment decisions.Research the potential impacts of low-level rainfall amounts, fog, mist and drizzle on other electricity assets. Does the updated set of weather data and results from the above research (3 and 4) provide insight on climate adaptation of other electricity assets, particularly for low-intensity rainfall events. " "The detail scope of work is set out below. Stage 1 Work Package 1: Discovery Phase (project inception, explore methodology, scope confirmation and workshops) Identifying all the weather-related issues of OHL noise (and other electricity assets) and project requirements to ensure alignment on scope and methodology of project, including project risk assessment. Work Package 2: Update Wet Weather Data Determining whether the existing wet weather data provided by the Met Office a decade ago and used by National Grid to predict OHL remains valid. Work Package 3: Gridding and Visualisation of Data Delivering the data extracted in Work Package 2 and corresponding visualisation in a flexible and sharable format for use within National Grid. Work Package 4: Literature Reviews Exploring the use of weather observations and numerical weather prediction data for mapping historical low-level rainfall amounts and for fog, mist and drizzle.Climate predictions and impact on OHL noisePotential impacts of low-level rainfall amounts, fog, mist and drizzle on other electricity assets Stage 2 Work Package 5: If the literature review conducted in Work Package 4 identifies data sources and a solution of value, then this work will implement the solution. The exact scope of this work will depend on the outcome of Work Package 4 and will be scoped once the latter completed. Mapping historical low-level rainfall amounts and for fog, mist, and drizzle.Implementation - climate predictions and impact on OHL noise." "Successfully identify all the weather-related issues of OHL noise and update wet weather data used by NGET. Identify the feasibility of using weather observation datasets, radar and relevant numerical weather prediction (NWP) data to produce similar datasets and maps to those currently used by National Grid for determining the duration of low-level rainfall amounts and fog, mist and drizzle.Analyse the ability and value of current climate models in predicting low-level rainfall amounts, fog, mist and drizzle over the UK.Identify the potential impacts of low-level rainfall amounts, fog, mist and drizzle on other electricity assets. " | |
| Abstract | This project aims to examine the wet weather dataset used for prediction of Overhead Line (OHL) noise and assess if the dataset remains valid and reliable. Further, this research project looks to leverage the latest advances in weather forecasting technology to assess if future wet weather predictions can be made to understand the impact on OHL noise which ensures that the right asset investment decisions are made for future generations. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 18/10/23 | |
