Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_ENWL_029 | |
| Title | A Statistical model for determining cut out failures | |
| Status | Completed | |
| Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 100%; | |
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 60%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 40%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact Electricity North West Limited |
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| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 December 2021 | |
| End Date | 30 June 2023 | |
| Duration | ENA months | |
| Total Grant Value | £138,000 | |
| Industrial Sectors | Power | |
| Region | North West | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , Electricity North West Limited |
| Web Site | https://smarter.energynetworks.org/projects/NIA_ENWL_029 |
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| Objectives | The project proposes to take an engineering-led approach by carrying out a combination of literature review and data analysis around modes of cut out failure. This will be coupled with a set of laboratory analyses of failed units to understand how these failure modes manifest. The aim will be to use this information to generate a condition assessment model to allow targeted replacement of cut outs in a controlled manner. The project will carry out the following: Examine existing ENW data around cut out failures, along with publicly available manufacturer data and use this to create a statistical model of cut out failure modes. If required a forensic analysis of around 100 units from the ENW license area will be carried out and used to further refine the model To create a statistical model around cut out failure modesTo refine the model following the forensic examination of around 100 units | |
| Abstract | Across the UK, DNOs are faced with an aging population of cut outs in customer premises. With the rise of self-submitted meter readings, and the roll out of Smart Meters, these are no longer routinely observed by trained personnel. As such these units are currently replaced on failure when reported by customers or meter change operatives, leading to disruption and potential safety issues. This project will look to develop a statistical model on cut out failure modes to better allow DNOs to prioritise the replacement programme | |
| 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 | 02/11/22 | |
