Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_NGGT0079 | |
| Title | Remaining Useful Life (RUL) determination for compressors | |
| 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 | PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 75%; ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 25%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given National Grid Gas Transmission |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 August 2015 | |
| End Date | 01 November 2016 | |
| Duration | 15 months | |
| Total Grant Value | £60,326 | |
| Industrial Sectors | Technical Consultancy | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , National Grid Gas Transmission (100.000%) |
| Web Site | http://www.smarternetworks.org/project/NIA_NGGT0079 |
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| Objectives | The objective is to determine the feasibility of applying different mathematical and statistical analysis to existing available historic data in defining Remaining Useful Life to optimise maintenance and improve asset management decisions. The project will deliver a report evidencing available options have been identified, investigated, evaluated and reasoned recommendations made as to their applicability to resolve the identified business problem. | |
| Abstract | National Grid Gas operates and maintains 75 compressor units across 24 sites. Current maintenance policy for compressors (‘Maint6’) has limited flexibility because the current approach across the fleet does not account for individual unit criticality. The current processes are inadequate for replacement, maintenance or repair decision making on an individual unit basis. With varying degrees of criticality these units are essential to the continued and strategic supply of gas to the UK. In order to meet the increasingly challenging economic climate and drive to increase start reliability and availability and decrease operating costs there is a greater requirement to be smarter with the management of these assets. One area with potential to reduce costs and increase reliability is that of the timing of maintenance and replacement. Optimum timing of maintenance and replacement will ensure maximum asset life and minimal undesired failures. The key to optimizing maintenance and replacement is:-1- identifying the tell-tale signs of failure2- having the ability to detect these tell-tale signs3- accurately predicting the time from problem detection to total failure We have established technology in place for 1 and 2 above, this project will focus on item 3. The results of which when combined with criticality will optimise maintenance and replacement. The two of the key indicators for compressor performance include start reliability and mean time between failures (MTBF). Start reliability currently exceeds the target however MTBF is below the target and behind industry benchmarks. This project will target failures before they occur and will significantly improve MTBF. The project is looking to expand the datasets required to identify, evaluate and apply RUL techniques for NGGT requirements. To date the information has not been sufficient to determine correlation of output results. Consequently we have been I touch with two universities (Cranfield & Warwick), both have experience in this area and both have offered to use our asset monitoring data in conjunction with a prognostics modelling tool to complete the feasibility study. The prognostic analysis will be carried out over the summer of 2016, which requires a project extension to complete. This project is currently at the feasibility stage. Initially, the project will obtain a variety of data from available published research results and include collating information from many diverse channels. Once the data has been obtained the following will be carried out: Identify analysis techniques for Remaining Useful Life (RUL) determinations Investigate cross industry implementations Prognostic analysis to be carried by Cranfield/Warwick University student to better predict when a failure will occur in the future. Identify the best sources of data and define the operating envelopes which the data needs to support Evaluate analysis techniques in National Grid’s application Evaluate cross industry implementations Apply techniques to National Grid s historic data Determine correlation of output results to actual maintenance history Identify areas where potential improvements may be made Determine applicability to replace or repair strategy Identify areas for potential operational/maintenance cost savings, ref maint6If successful then next steps will be to carry out a trial with a view to wider implementation. Although, this is not part of the current scope of thisproject, it is anticipated that the second phase would be funded through NIA.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 26/10/18 | |
