Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_WWU_003 | |
| Title | Iron Mains Condition Assessment System | |
| 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 (Metallurgy and Materials) 50%; ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 50%; |
|
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given Cadent Gas |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 April 2012 | |
| End Date | 01 July 2013 | |
| Duration | 15 months | |
| Total Grant Value | £492,309 | |
| Industrial Sectors | Technical Consultancy | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , Cadent Gas (99.999%) |
| Other Investigator | Project Contact , Wales and West Utilities (0.001%) |
|
| Web Site | http://www.smarternetworks.org/project/NIA_WWU_003 |
|
| Objectives | The project objective is to develop, build and test a condition assessment tool to be used within cast iron mains. This tool will detect both internal and external defects in the pipe wall as well as the actual strain in the pipe wall continuously along the surveyed length. This phase develops on the demonstrated in the proof of concept, Phase 1, into a full scale working prototype prior to further development for live entry into the network. Successful demonstration of the defect and strain detection sensors and analysis through the completion of an extended survey of ≈200 m of abandoned 12" cast iron main. | |
| Abstract | To determine the condition of tier 2 and 3 iron mains that are no longer replaced as a matter of course with the implementation of the Iron Mains Risk Reduction Programme. Knowledge of the asset condition, as determined from both the level of corrosion (loss in wall thickness) and strain in the pipe wall, will allow GDNs to:Accurately determine the risk these main pose to the public and network,predict remaining life of the asset to a level of accuracy not previously possibleallow for targeted, informed and innovative interventions to be undertaken in the most cost efficient manner This stage will develop on the technology demonstrated in the proof of concept tool developed for Phase 1 into a full scale prototype This is intended to demonstrate the ability of the technology to be used for extended surveys whilst also producing more detailed results, as would be required for cost effective implementation of the tool on a network.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 31/08/18 | |
