Projects
Projects: Projects for Investigator |
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| Reference Number | NIA2_NGET0005 | |
| Title | Environmental Risk and Assurance (ERA) | |
| 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 | ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 90%; ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 10%; |
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| UKERC Cross Cutting Characterisation | Sociological economical and environmental impact of energy (Environmental dimensions) 100% | |
| Principal Investigator |
Project Contact No email address given National Grid Electricity Transmission |
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| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 March 2022 | |
| End Date | 28 February 2023 | |
| Duration | ENA months | |
| Total Grant Value | £455,314 | |
| 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_NGET0005 |
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| Objectives | The project will develop a bespoke, proof of concept model that harnesses available data sources to generate a quantitative risk rating that corresponds to the likelihood of an asset being damaged by an upcoming weather event. Outputs – including those from networks of strategically placed sensors – will be fed into the bespoke model to provide a robust multi-hazard warning platform to support improved hazard resilience for NGET assets. The tool will also generate automated alerts to real-time risks – allowing NGET to prepare and respond in a coordinated way – and provide details of the asset coordinates, asset risk and mitigation actions alongside a heatmap for asset risks across a region.Data Quality Statement (DQS): The project will be delivered under the NIA framework in line with OFGEM, ENA and NGGT / NGET internal policy. Data produced as part of this project will be subject to quality assurance to ensure that the information produced with each deliverable is accurate to the best of our knowledge and sources of information are appropriately documented. All deliverables and project outputs will be stored on our internal SharePoint platform ensuring access control, backup and version management. Relevant project documentation and reports will also be made available on the ENA Smarter Networks Portal and dissemination material will be shared with the relevant stakeholders. Measurement Quality Statement (MQS): The methodology used in this project will be subject to our suppliers own quality assurance regime. Quality assurance processes and the source of data, measurement processes and equipment as well as data processing will be clearly documented and verifiable. The measurements, designs and economic assessments will also be clearly documented in the relevant deliverables and final project report and will be made available for review. In line with the ENAs ENIP document, the risk rating has scored Low.TRL steps score = 2Cost score = 1Suppliers score = 2Data assumption score = 1 The project will be split into 8 sprints: 1. Risk model and software requirements capture including sensor hardware requirements.2. User interface requirements capture. a.Data gathering and processing. Interim flood forecasting system setup and sensor hardware and interim software preparation. 3. Risk model development and platform setup. a. Sensor hardware installation. Incorporation of erosion data into risk model. 4. Risk model development and platform development. a. Incorporation of new erosion data into risk model. Completion of any outstanding sensor installations. 5. Risk model validation. a. Platform and user interface development. Incorporation of new erosion data into risk model. 6. Platform and user interface development. a. Incorporation of new erosion data into risk model (refinement).7. Platform and user interface development. a. Incorporation of new erosion data into risk model (refinement).8. Proof-of-concept tool delivery and supporting documentation. This project aims to deliver a methodology for quantifying asset risk, based on location, asset type and weather data. A modelling tool to implement this methodology specifically for NGET assets will be built. | |
| Abstract | Electricity assets such as towers and the equipment in substations have been designed to withstand a variety of environmental conditions. The increasing number and ferocity of extreme weather events exposes assets to a greater risk. For example, uncontrolled surface water flooding events are expected to rise along with the cost of damages.To ensure the network continues to provide an uninterrupted electricity supply to its millions of customers, the ever-growing complexity of environmental risks needs to be constantly monitored.Given the expected increase in extreme weather events, the current practice is likely going to be under increased pressure which will limit the ability to recognize escalating environmental risks. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 14/10/22 | |
