Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_SGN0147 | |
| Title | Dark Data Regulator Maintenance | |
| Status | Completed | |
| Energy Categories | Fossil Fuels: Oil Gas and Coal(Oil and Gas, Refining, transport and storage of oil and gas) 100%; | |
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given SGN |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 October 2019 | |
| End Date | 01 January 2020 | |
| Duration | ENA months | |
| Total Grant Value | £65,317 | |
| Industrial Sectors | Energy | |
| Region | South East | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , SGN (100.000%) |
| Industrial Collaborator | Project Contact , SGN (0.000%) |
|
| Web Site | https://smarter.energynetworks.org/projects/NIA_SGN0147 |
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| Objectives | This project aims to carry out an in-depth analysis of real time telemetry on SGN above 7 bar assets, helping to understand and predict asset failures, feeding our telemetry strategy for the future. The findings from this project will inform our telemetry strategy and will give SGN visibility of occurring asset failures and the factors that cause them. This will allow us to capture the net benefits of data collection with the risks and costs associated with their installation and operation. The project output will be a report including background data, findings and recommendations going forward. The aim of this project is to explore the potential for using data to drive maintenance activities. This data analysis will create actionable insights to help SGN determine the types of interventions and most value adding activities.This will involve collection of different datasets for example SGN asset pressure data, asset maintenance log, and weather data. This will give an understand if our existing data collection process is valuable in predicting failure, managing gas flow and whether the amount of data collected should be reduced. The objectives of this project are to: Workshop meeting to discuss datasets and problem hypothesis. Initial review of datasets. Complete review of datasets. Produce report consolidating all information, actionable insights and recommendations. | |
| Abstract | This project looks to assess historical asset data and determine whether it can be used to predict future failures, helping to prove or disprove maintenance hypothesis. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 08/11/22 | |
