Delivering Enhanced Through-Life Nuclear Asset Management
Lead Research Organisation:
University of Strathclyde
Department Name: Electronic and Electrical Engineering
Abstract
Nuclear engineering has returned to the forefront of UK industrial attention with an unprecedented government economic infrastructure spend programme not seen for over 50 years. The combined life extension and new build programmes in Civil Nuclear, running in parallel with life extension and new build in submarine nuclear programmes places a significant demand on an area of engineering already dealing with a National and International skills shortage. Existing and new assets in both civil and naval sectors are important as civil nuclear power accounts for 21% of the UK's electrical generation and nuclear submarines provide the UK's independent continuous at-sea nuclear deterrent. A strategic partnership comprising Babcock International Group, BAM Nutall, Bruce Power, EDF-Energy, Kinectrics, The Weir Group and the University of Strathclyde will establish a nationally significant research programme to increase capability and multidisciplinary expertise focussed on enhanced through-life nuclear asset management.
The overall aim of the partnership is two-fold. First, the drive is to create new knowledge and understanding to underpin the operational management/maintenance of existing infrastructure and to improve understanding and knowledge of lifetime and degradation processes. This will significantly increase the life of existing assets, minimise operational risk and reduce through life costs. Second, this novel knowledge can then be fed into the development of the next generation of nuclear plants and equipment, and hence translate these breakthroughs into the design and build of future nuclear assets. In doing this, the partnership will provide game changing knowledge, understanding and technology to deliver significant impact for the partners, the UK economy and global nuclear industry.
Additionally it will ensure UK scientific and engineering companies remain at the forefront of global markets.
The research in this programme targets low technology readiness level (TRL) advances that are required to support the ambitions of the industry partners and will deliver specific research outcomes which:
- Deliver improved understanding and knowledge of lifetime and degradation processes;
- Deliver a novel method or system for diagnosing or predicting degradation in plant;
- Deliver novel predictive models that allow the lifetime of plant items to be extended; or
- Deliver novel solutions to repairing critical plant to allow plant lifetime to be extended.
The research programme and the pathway to impact will result in the whole life cycle of nuclear assets being more effectively implemented at a value higher than the sum of the individual parts. Operators will see increases in generation and reductions in costs, resulting in lower cost energy for consumers. As nuclear energy is a carbon neutral energy, investment in nuclear will help decrease CO2 emissions and global warming.
The programme targets Energy Security and Efficiency, aiming to meet National Strategic Needs in the Nuclear Sector by investing in nuclear plant life extensions and efficiencies which will help increase electrical generation capacity and reduce the burden on existing electrical assets at a time when the UK faces a shortage in energy and electricity supplies in the coming years.
In addition, some of the industry partners' interests span a number of sectors and the research themes in this programme are also highly relevant to other sectors including aerospace, energy and marine.
Finally, an additional aim of the programme, relates to development of supply chains to deliver the next generation of technologies and components for nuclear assets. Moreover, as a number of the industrial members of the research centres are non-UK based, outputs from this research programme and subsequent products and services can be exported into international markets. This will lead to UK companies being part of foreign supply chains.
The overall aim of the partnership is two-fold. First, the drive is to create new knowledge and understanding to underpin the operational management/maintenance of existing infrastructure and to improve understanding and knowledge of lifetime and degradation processes. This will significantly increase the life of existing assets, minimise operational risk and reduce through life costs. Second, this novel knowledge can then be fed into the development of the next generation of nuclear plants and equipment, and hence translate these breakthroughs into the design and build of future nuclear assets. In doing this, the partnership will provide game changing knowledge, understanding and technology to deliver significant impact for the partners, the UK economy and global nuclear industry.
Additionally it will ensure UK scientific and engineering companies remain at the forefront of global markets.
The research in this programme targets low technology readiness level (TRL) advances that are required to support the ambitions of the industry partners and will deliver specific research outcomes which:
- Deliver improved understanding and knowledge of lifetime and degradation processes;
- Deliver a novel method or system for diagnosing or predicting degradation in plant;
- Deliver novel predictive models that allow the lifetime of plant items to be extended; or
- Deliver novel solutions to repairing critical plant to allow plant lifetime to be extended.
The research programme and the pathway to impact will result in the whole life cycle of nuclear assets being more effectively implemented at a value higher than the sum of the individual parts. Operators will see increases in generation and reductions in costs, resulting in lower cost energy for consumers. As nuclear energy is a carbon neutral energy, investment in nuclear will help decrease CO2 emissions and global warming.
The programme targets Energy Security and Efficiency, aiming to meet National Strategic Needs in the Nuclear Sector by investing in nuclear plant life extensions and efficiencies which will help increase electrical generation capacity and reduce the burden on existing electrical assets at a time when the UK faces a shortage in energy and electricity supplies in the coming years.
In addition, some of the industry partners' interests span a number of sectors and the research themes in this programme are also highly relevant to other sectors including aerospace, energy and marine.
Finally, an additional aim of the programme, relates to development of supply chains to deliver the next generation of technologies and components for nuclear assets. Moreover, as a number of the industrial members of the research centres are non-UK based, outputs from this research programme and subsequent products and services can be exported into international markets. This will lead to UK companies being part of foreign supply chains.
Planned Impact
This programme is aimed at the supporting a more sustainable energy policy for the UK and benefits for all of society. It will result in lower cost energy for consumers and as nuclear energy is a carbon neutral energy, investment in nuclear will help decrease CO2 emissions and global warming. Additionally, nuclear plant life extensions and efficiencies will help increase electrical generation capacity at a time when the UK faces a shortage in energy and electricity supplies in the coming years.
By bringing together various sections of the nuclear supply chain (operators, consultants, OEMs, academics) in a consortium, an opportunity exists through this partnership to better integrate each part of the supply chain's needs and requirements, leading to a more efficient and effective nuclear sector in the UK.
The proposed treatment and repair strategies for nuclear structures (including foundations) are applicable to infrastructure within the wider Built Environment. The proposed technologies are low-carbon and designed to minimise production of radioactive waste, which requires encapsulation for storage and geological disposal. The research concerning operational intelligence and decision support will introduce a step change in the through-life plant maintenance, operation, management and lifetime extension capabilities in the UK and internationally. Within the UK context, the UK's largest producer of low-carbon electricity, EDF Energy, will benefit from: maximising the generation from their existing stations, reducing the costs of operations and maintenance on their existing stations, and reducing the costs of decommissioning their existing stations. The specific challenges and advances that the nuclear operators are using the Prosperity Partnership to address provides commercial opportunities for the wider partnership. The OEMs and consultants will benefit from technology-driven initiatives to enhance their support methodologies, service and product offerings.
The research outcomes, novel contributions and knowledge developed will provide value to a number of academic communities within EPSRC's clearly defined Research Areas. In particular, the programme directly articulates with researchers interested in EPSRC's Nuclear Fission priority area, with a focus on existing operations and new nuclear build. The strong linkage between the university's research, the industry partner needs and EPSRC priority research areas means that all of the research will significantly influence the UK academic community. Many of these priorities are also of international interest and reach.
By bringing together various sections of the nuclear supply chain (operators, consultants, OEMs, academics) in a consortium, an opportunity exists through this partnership to better integrate each part of the supply chain's needs and requirements, leading to a more efficient and effective nuclear sector in the UK.
The proposed treatment and repair strategies for nuclear structures (including foundations) are applicable to infrastructure within the wider Built Environment. The proposed technologies are low-carbon and designed to minimise production of radioactive waste, which requires encapsulation for storage and geological disposal. The research concerning operational intelligence and decision support will introduce a step change in the through-life plant maintenance, operation, management and lifetime extension capabilities in the UK and internationally. Within the UK context, the UK's largest producer of low-carbon electricity, EDF Energy, will benefit from: maximising the generation from their existing stations, reducing the costs of operations and maintenance on their existing stations, and reducing the costs of decommissioning their existing stations. The specific challenges and advances that the nuclear operators are using the Prosperity Partnership to address provides commercial opportunities for the wider partnership. The OEMs and consultants will benefit from technology-driven initiatives to enhance their support methodologies, service and product offerings.
The research outcomes, novel contributions and knowledge developed will provide value to a number of academic communities within EPSRC's clearly defined Research Areas. In particular, the programme directly articulates with researchers interested in EPSRC's Nuclear Fission priority area, with a focus on existing operations and new nuclear build. The strong linkage between the university's research, the industry partner needs and EPSRC priority research areas means that all of the research will significantly influence the UK academic community. Many of these priorities are also of international interest and reach.
Organisations
- University of Strathclyde (Lead Research Organisation)
- Doosan Babcock (Collaboration)
- Bruce Power (Collaboration)
- Weir Group PLC (Collaboration, Project Partner)
- Kinectrics Ltd (Collaboration)
- RCNDE (Collaboration)
- Alan Turing Institute (Collaboration)
- Bellrock Technology (Collaboration)
- EDF Energy (United Kingdom) (Collaboration, Project Partner)
- CRANFIELD UNIVERSITY (Collaboration)
- Babcock International Group (Collaboration)
- BAM NUTTALL (Collaboration)
- BAM Nuttall (United Kingdom) (Project Partner)
- Babcock International Group (United Kingdom) (Project Partner)
- Kinectrics (Canada) (Project Partner)
- Bruce Power (Canada) (Project Partner)
Publications
Aizpurua J
(2018)
Power transformer dissolved gas analysis through Bayesian networks and hypothesis testing
in IEEE Transactions on Dielectrics and Electrical Insulation
Aizpurua J
(2021)
Uncertainty-Aware Fusion of Probabilistic Classifiers for Improved Transformer Diagnostics
in IEEE Transactions on Systems, Man, and Cybernetics: Systems
Aizpurua J
(2019)
Improved power transformer condition monitoring under uncertainty through soft computing and probabilistic health index
in Applied Soft Computing
Aizpurua J
(2019)
Adaptive Power Transformer Lifetime Predictions Through Machine Learning and Uncertainty Modeling in Nuclear Power Plants
in IEEE Transactions on Industrial Electronics
Akyildiz Ö
(2022)
Statistical Finite Elements via Langevin Dynamics
in SIAM/ASA Journal on Uncertainty Quantification
Cockayne J
(2019)
Bayesian Probabilistic Numerical Methods
in SIAM Review
Cumberland SA
(2023)
Hydroxyapatite coatings on cement paste as barriers against radiological contamination.
in Scientific reports
Duffin C
(2021)
Statistical finite elements for misspecified models.
in Proceedings of the National Academy of Sciences of the United States of America
Dunlop Matthew M.
(2018)
How Deep Are Deep Gaussian Processes?
in JOURNAL OF MACHINE LEARNING RESEARCH
Gaskin T
(2023)
Neural parameter calibration for large-scale multiagent models.
in Proceedings of the National Academy of Sciences of the United States of America
Gregory A
(2019)
The synthesis of data from instrumented structures and physics-based models via Gaussian processes
in Journal of Computational Physics
Haywood-Alexander M
(2021)
Decomposition of multi-mode signals using dispersion curves and Bayesian linear regression
Javadi Y.
(2018)
Ultrasonic phased array inspection of wire plus arc additive manufacture (WAAM) samples using conventional and total focusing method (TFM) imaging approaches
in NDT 2018 - 57th Annual Conference of the British Institute of Non-Destructive Testing
Lunn R.J.
(2022)
Biomineral Sealing of Cracks in Degraded Concrete Nuclear Structures
Macleod C
(2018)
Machining-Based Coverage Path Planning for Automated Structural Inspection
in IEEE Transactions on Automation Science and Engineering
Manderson A
(2019)
Uncertainty Quantification of Density and Stratification Estimates with Implications for Predicting Ocean Dynamics
in Journal of Atmospheric and Oceanic Technology
McMillan R
(2023)
Characterization of EMAT Guided Wave Reflectivity on Welded Structures for Use in Ranging
in IEEE Sensors Journal
McMillan R
(2023)
Design and Manufacture of an Optimised Side-Shifted PPM EMAT Array for Use in Mobile Robotic Localisation.
in Sensors (Basel, Switzerland)
Minto J
(2019)
Development of a Reactive Transport Model for Field-Scale Simulation of Microbially Induced Carbonate Precipitation
in Water Resources Research
Povala J
(2022)
Variational Bayesian approximation of inverse problems using sparse precision matrices
in Computer Methods in Applied Mechanics and Engineering
Ranasinghe G
(2019)
A Methodology for Prognostics Under the Conditions of Limited Failure Data Availability
in IEEE Access
Rappel H
(2022)
Intercorrelated random fields with bounds and the Bayesian identification of their parameters: Application to linear elastic struts and fibers
in International Journal for Numerical Methods in Engineering
Stephen B
(2022)
A Quantile Dependency Model for Predicting Optimal Centrifugal Pump Operating Strategies
in Machines
Tabatabaeipour M
(2022)
Application of ultrasonic guided waves to robotic occupancy grid mapping
in Mechanical Systems and Signal Processing
Tabatabaeipour M
(2022)
Ultrasonic guided wave estimation of minimum remaining wall thickness using Gaussian process regression
in Materials & Design
| Description | Over the past year (2022-2023) several of the programme engagements have resulted in new or improved impact. Theme 1 - Advanced Through-life Inspection Solutions: research continued on the use of guided wave ultrasonics for the rapid inspection of large steel structures, such as storage vessels that are maintained by industry partners. A robotic inspection concept was developed along with a method to estimate the minimum thickness across a strip of the vessel structure, which is important for quantitative NDE. The ranging capabilities of these sensors were also investigated and quantified in detail. Research to expand the concepts to guided waves generated with phased array was also introduced and there is strong academic and industrial interest in this work moving forward. Many technology outputs from this theme have now entered the Intellectual property and commercial licensing phases hence some specific details are currently held 'in purdah'. However, aligned research continues through a Co-I successfully obtaining a RAEng Chair in "Sensor-Driven Automated High-Integrity Welding", co-funded by the programme's principal industry partner (Babcock International Group) and facilitated by the underpinning research conducted in this Prosperity Partnership. Theme 2 - Biotechnology for the Repair and Remediation of Concrete Nuclear Infrastructure Biomineral repair of Concrete: in early 2022 a new PDRA was included in the project and focused efforts on data analysis from treated concrete cores obtained from Hunterston power station. Integration of X-ray Computed Tomography (X-CT) visualisations, Scanning Electron Microscopy with Energy Dispersive Spectroscopy (SEM-EDS) analysis, measured permeability reductions and concrete strength gains display the dependence of the newly developed Microbially Induced Calcite Precipitation (MICP) treatment efficiency on the fracture network characteristics, with fracture tortuosity enhancing bacteria entrapment and precipitates localisation. Further, the project evolved from micrometres scale fractures in small cores to millimetres scale apertures in 25 cm side fractured concrete cubes. Challenges at this scale involve the injection of filler particles and prospects for monitoring MICP cycle effects. Analysis of filler injection, fluids distribution and carbonate precipitation using a transparent "acrylic fracture" with an opening of 1 cm provided insights on the methodology to follow at block scale experiments. Ongoing work uses a fractured concrete cube of 25 cm side where successful carbonate sand injection into the fractured network displays a permeability reduction of more than an order of magnitude, followed by about an order of magnitude reduction by MICP treatments. Work is also focused on developing a removable layer of hydroxyapatite (HAp) on cement. In 2022 the layer can now be precipitated to a current thickness of 20-30 microns, onto cement in less than a week using a mixture of soluble salts and silicon compounds. The HAp-coated cement layer has so far been tested against stable and radiogenic isotopes of Sr, U, Cs and I. Experiments have been conducted in collaboration with the National Physical Laboratory (NPL) to determine the concentration of iodine(I) as a fraction tested with coated and uncoated cements in 10 and 100 mg/L of iodine. These show that iodine in solution was taken up by the uncoated cements but not by the HAp-coated cements, indicating that the HAp was acting as a barrier to the cement. On-going analysis of the solid material will confirm the extent of the iodine ingression in both coated and uncoated cements. Theme 3 - Operational Intelligence: expanding on analytics previously developed/reported, the Fuel Machine Log Analysis (FMLA) analytic for Bruce Power has now been deployed on a cloud-based platform and this initiative has unlocked and accelerated further capability, including 3 new models for estimating remaining useful life of D2O filters. The FMLA was developed between Strathclyde and The Turing (using additional EPSRC Impact Acceleration Account funds). Additional analytics have been developed for Bruce Power; including using fuel machine trolley coasting distance, vault temperature and torque feedback to develop a metric for the health of the power track and drive train; the optimisation of the trolley maintenance and/or isolation time and linking this to clearance orders within Maximo; and, the development of cloud-based dashboards to visualise data for both the data analysts and the end-users in the field. As cloud-based supporting architecture is now in place at Bruce Power, this has permitted further deployment and evaluation of analytics developed earlier in the Prosperity Partnership for electrical transformers. This is in addition to the deployment of the same transformer analytics for EDF on Bellrock's Lumen platform in 2021. A final suite of analytics has been developed focusing on detection of failed nuclear fuel. These algorithms have been deployed for evaluation on the desktop of the reactor physicist responsible for isolating instances of failed fuel in the reactor core. Another significant area of work has been translating algorithms initially developed for EDF's graphite reactor cores but now repurposed for a key inspection activity of Bruce Power's Main Component Replacement (MCR) programme. Preliminary feasibility of this activity was explored through a summer intern in 2022 and has led to full translation of the algorithms to support the inspection of calandria tube-sheet bores. |
| First Year Of Impact | 2021 |
| Sector | Energy |
| Impact Types | Economic |
| Description | Bangor Nuclear Futures led report on AMR for Net-zero |
| Geographic Reach | National |
| Policy Influence Type | Contribution to a national consultation/review |
| URL | https://nubu.nu/delivering-net-zero-role-of-amrs-report/ |
| Description | IAEA Committee on the Application of AI in Nuclear |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Membership of a guideline committee |
| URL | https://www.iaea.org/newscenter/news/pioneering-iaea-meeting-to-focus-on-ai-based-approaches-in-nucl... |
| Description | RWN RSO Discipline Lead for Sub-surface Engineering |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| Impact | Professor Lunn will work with NDA, RWM to determine the future strategy for safe disposal of spend nuclear fuels and nuclear waste. |
| URL | https://www.research-support-office-gdf.ac.uk/about/people/ |
| Description | Royal Society of Edinburgh Inquiry - Scotland's Energy Future, Investigator PI and Co-Is on Committee |
| Geographic Reach | National |
| Policy Influence Type | Membership of a guideline committee |
| Description | EDI Network Plus for Energy Researchers |
| Amount | £1,250,000 (GBP) |
| Funding ID | EP/W033747/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 06/2022 |
| End | 05/2026 |
| Description | Effective Transfer Impact Acceleration Account Software Demonstrators Project |
| Amount | £28,000 (GBP) |
| Organisation | University of Strathclyde |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 01/2022 |
| End | 06/2022 |
| Description | Fellowship - C. MacLeod |
| Amount | £2,780,000 (GBP) |
| Organisation | Royal Academy of Engineering |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | |
| Description | Flamanville 3 Feasibility Study - Manipulator Positioning and Communication System |
| Amount | £100,000 (GBP) |
| Organisation | Doosan Babcock |
| Sector | Private |
| Country | United Kingdom |
| Start | 05/2019 |
| End | 11/2019 |
| Description | HRSG Visual Inspection |
| Amount | £112,500 (GBP) |
| Organisation | Doosan Babcock |
| Sector | Private |
| Country | United Kingdom |
| Start | 02/2021 |
| End | 12/2021 |
| Description | NPL ICASE PhD |
| Amount | £75,000 (GBP) |
| Organisation | National Physical Laboratory |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 10/2020 |
| End | 02/2024 |
| Description | Optimising Bacteria Production and Storage for Field-Scale Application of a New Biomineralization Technology in Ground Engineering |
| Amount | £76,556 (GBP) |
| Organisation | IBioIC |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 07/2020 |
| End | 06/2021 |
| Description | RIC Tubes Inspection Tools |
| Amount | £12,500 (GBP) |
| Organisation | Doosan Babcock |
| Sector | Private |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 11/2021 |
| Description | Research Excellence Award |
| Amount | £62,079 (GBP) |
| Organisation | University of Strathclyde |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 10/2021 |
| End | 09/2024 |
| Description | Royal Academy of Engineering Chair - Professor Rebecca Lunn |
| Amount | £2,780,000 (GBP) |
| Organisation | Royal Academy of Engineering |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 01/2018 |
| End | 12/2027 |
| Description | Royal Academy of Engineering Chair - S. Gareth Pierce |
| Amount | £2,780,000 (GBP) |
| Organisation | Royal Academy of Engineering |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 06/2020 |
| End | 05/2030 |
| Description | The Department for Business, Energy and Industrial Strategy (BEIS)'s Energy Innovation Programme (EIP) |
| Amount | £1,300,000 (GBP) |
| Organisation | Department for Business, Energy & Industrial Strategy |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2020 |
| End | 03/2023 |
| Description | Turing Network Development Award |
| Amount | £20,000 (GBP) |
| Organisation | Alan Turing Institute |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 02/2022 |
| End | 09/2022 |
| Description | Uptake of Sr and U by apatite on cement designed for nuclear decommissioning |
| Amount | £75,000 (GBP) |
| Organisation | National Physical Laboratory |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 02/2021 |
| End | 03/2021 |
| Description | iCASE PhD Studentship |
| Amount | £70,000 (GBP) |
| Organisation | Nuclear Decommissioning Authority NDA |
| Department | Radioactive Waste Management |
| Sector | Public |
| Country | United Kingdom |
| Start | 10/2023 |
| End | 09/2026 |
| Description | A case-study led framework for development and deployment of analytics in the nuclear industry |
| Organisation | Babcock International Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The engagement will, through workshops and discussions with industry partners, assemble and consolidate best practice and experience into an 'Analytics Model' framework for development and deployment of analytics in the nuclear industry, including the role of the regulator in validation and verification. In parallel to this work, case studies on areas of overlapping interest to industry members will be undertaken in order to develop and demonstrate the framework. |
| Collaborator Contribution | Access to relevant domain experts and equipment owners for workshops, data and knowledge capture, and review and feedback on technical reporting. Access to data and equipment required to extract data from existing systems. Access to necessary partner (or contractor) technical documentation. |
| Impact | An initial workshop (Workpack 1.1) will be conducted with industry partners to explore current challenges and approaches that partners are employing, and their success and experience. A report (Workpack 1.2) summarising these findings will be produced and circulated for discussion and feedback. Individual partner workshops (Workpack 1.3) will be undertaken as appropriate to identify more detailed relevant OPEX and information. In parallel, a set of workshops will be proposed with the regulators (Workpack 1.4), in the UK and Canada, in order to identify the key requirements for effective validation and verification of analytics. The outputs of these workshops will be prepared as a report and circulated to partners. A formal review (Workpack 1.5) will then be undertaken of the approaches, techniques and technologies identified in the workshops which will identify specific requirements (Workpack 1.6) for a framework, covering: - Technology selection and integration - Deployment and security - Validation and verification - Regulatory regime and approval A comprehensive review (Workpack 1.7) of similar activities in non-member organisations, including outside the nuclear industry, will be undertaken to provide a broader range of experience. A workshop combining experts from a range of industries will be considered as a method of identifying best practice with applicability from outside the nuclear industry. Findings from the partner workshops, the regulator workshops, the external workshops and the review process will be assembled into a report (Workpack 1.8) which will provide a consolidated view of specific experience, decision making tools, approaches and recommendations which can be incorporated into future partner and/or Prosperity Partnership projects. Feedback sessions (Workpack 1.9) will then be undertaken with partners and the regulators (Workpack 1.10) in order to assemble comments, feedback and improvements. This approach recognises that the model development process is dynamic (e.g. as technologies, tools and requirements evolve) and as a result the model will be enhanced through iterative review and updates. Based on feedback, a second iteration of the model (Workpack 1.11) will be developed and circulated, as a series of case studies are launched which will look to evaluate and demonstrate the concepts contained within the model. In this way, the model will inform the development of the case studies while the experience of the case studies will form useful feedback to the model, which will be captured and incorporated (Workpack 1.12) to further improve the model (Workpack 1.13). |
| Start Year | 2020 |
| Description | A case-study led framework for development and deployment of analytics in the nuclear industry |
| Organisation | Bellrock Technology |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The engagement will, through workshops and discussions with industry partners, assemble and consolidate best practice and experience into an 'Analytics Model' framework for development and deployment of analytics in the nuclear industry, including the role of the regulator in validation and verification. In parallel to this work, case studies on areas of overlapping interest to industry members will be undertaken in order to develop and demonstrate the framework. |
| Collaborator Contribution | Access to relevant domain experts and equipment owners for workshops, data and knowledge capture, and review and feedback on technical reporting. Access to data and equipment required to extract data from existing systems. Access to necessary partner (or contractor) technical documentation. |
| Impact | An initial workshop (Workpack 1.1) will be conducted with industry partners to explore current challenges and approaches that partners are employing, and their success and experience. A report (Workpack 1.2) summarising these findings will be produced and circulated for discussion and feedback. Individual partner workshops (Workpack 1.3) will be undertaken as appropriate to identify more detailed relevant OPEX and information. In parallel, a set of workshops will be proposed with the regulators (Workpack 1.4), in the UK and Canada, in order to identify the key requirements for effective validation and verification of analytics. The outputs of these workshops will be prepared as a report and circulated to partners. A formal review (Workpack 1.5) will then be undertaken of the approaches, techniques and technologies identified in the workshops which will identify specific requirements (Workpack 1.6) for a framework, covering: - Technology selection and integration - Deployment and security - Validation and verification - Regulatory regime and approval A comprehensive review (Workpack 1.7) of similar activities in non-member organisations, including outside the nuclear industry, will be undertaken to provide a broader range of experience. A workshop combining experts from a range of industries will be considered as a method of identifying best practice with applicability from outside the nuclear industry. Findings from the partner workshops, the regulator workshops, the external workshops and the review process will be assembled into a report (Workpack 1.8) which will provide a consolidated view of specific experience, decision making tools, approaches and recommendations which can be incorporated into future partner and/or Prosperity Partnership projects. Feedback sessions (Workpack 1.9) will then be undertaken with partners and the regulators (Workpack 1.10) in order to assemble comments, feedback and improvements. This approach recognises that the model development process is dynamic (e.g. as technologies, tools and requirements evolve) and as a result the model will be enhanced through iterative review and updates. Based on feedback, a second iteration of the model (Workpack 1.11) will be developed and circulated, as a series of case studies are launched which will look to evaluate and demonstrate the concepts contained within the model. In this way, the model will inform the development of the case studies while the experience of the case studies will form useful feedback to the model, which will be captured and incorporated (Workpack 1.12) to further improve the model (Workpack 1.13). |
| Start Year | 2020 |
| Description | A case-study led framework for development and deployment of analytics in the nuclear industry |
| Organisation | Bruce Power |
| Country | Canada |
| Sector | Private |
| PI Contribution | The engagement will, through workshops and discussions with industry partners, assemble and consolidate best practice and experience into an 'Analytics Model' framework for development and deployment of analytics in the nuclear industry, including the role of the regulator in validation and verification. In parallel to this work, case studies on areas of overlapping interest to industry members will be undertaken in order to develop and demonstrate the framework. |
| Collaborator Contribution | Access to relevant domain experts and equipment owners for workshops, data and knowledge capture, and review and feedback on technical reporting. Access to data and equipment required to extract data from existing systems. Access to necessary partner (or contractor) technical documentation. |
| Impact | An initial workshop (Workpack 1.1) will be conducted with industry partners to explore current challenges and approaches that partners are employing, and their success and experience. A report (Workpack 1.2) summarising these findings will be produced and circulated for discussion and feedback. Individual partner workshops (Workpack 1.3) will be undertaken as appropriate to identify more detailed relevant OPEX and information. In parallel, a set of workshops will be proposed with the regulators (Workpack 1.4), in the UK and Canada, in order to identify the key requirements for effective validation and verification of analytics. The outputs of these workshops will be prepared as a report and circulated to partners. A formal review (Workpack 1.5) will then be undertaken of the approaches, techniques and technologies identified in the workshops which will identify specific requirements (Workpack 1.6) for a framework, covering: - Technology selection and integration - Deployment and security - Validation and verification - Regulatory regime and approval A comprehensive review (Workpack 1.7) of similar activities in non-member organisations, including outside the nuclear industry, will be undertaken to provide a broader range of experience. A workshop combining experts from a range of industries will be considered as a method of identifying best practice with applicability from outside the nuclear industry. Findings from the partner workshops, the regulator workshops, the external workshops and the review process will be assembled into a report (Workpack 1.8) which will provide a consolidated view of specific experience, decision making tools, approaches and recommendations which can be incorporated into future partner and/or Prosperity Partnership projects. Feedback sessions (Workpack 1.9) will then be undertaken with partners and the regulators (Workpack 1.10) in order to assemble comments, feedback and improvements. This approach recognises that the model development process is dynamic (e.g. as technologies, tools and requirements evolve) and as a result the model will be enhanced through iterative review and updates. Based on feedback, a second iteration of the model (Workpack 1.11) will be developed and circulated, as a series of case studies are launched which will look to evaluate and demonstrate the concepts contained within the model. In this way, the model will inform the development of the case studies while the experience of the case studies will form useful feedback to the model, which will be captured and incorporated (Workpack 1.12) to further improve the model (Workpack 1.13). |
| Start Year | 2020 |
| Description | A case-study led framework for development and deployment of analytics in the nuclear industry |
| Organisation | Doosan Babcock |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The engagement will, through workshops and discussions with industry partners, assemble and consolidate best practice and experience into an 'Analytics Model' framework for development and deployment of analytics in the nuclear industry, including the role of the regulator in validation and verification. In parallel to this work, case studies on areas of overlapping interest to industry members will be undertaken in order to develop and demonstrate the framework. |
| Collaborator Contribution | Access to relevant domain experts and equipment owners for workshops, data and knowledge capture, and review and feedback on technical reporting. Access to data and equipment required to extract data from existing systems. Access to necessary partner (or contractor) technical documentation. |
| Impact | An initial workshop (Workpack 1.1) will be conducted with industry partners to explore current challenges and approaches that partners are employing, and their success and experience. A report (Workpack 1.2) summarising these findings will be produced and circulated for discussion and feedback. Individual partner workshops (Workpack 1.3) will be undertaken as appropriate to identify more detailed relevant OPEX and information. In parallel, a set of workshops will be proposed with the regulators (Workpack 1.4), in the UK and Canada, in order to identify the key requirements for effective validation and verification of analytics. The outputs of these workshops will be prepared as a report and circulated to partners. A formal review (Workpack 1.5) will then be undertaken of the approaches, techniques and technologies identified in the workshops which will identify specific requirements (Workpack 1.6) for a framework, covering: - Technology selection and integration - Deployment and security - Validation and verification - Regulatory regime and approval A comprehensive review (Workpack 1.7) of similar activities in non-member organisations, including outside the nuclear industry, will be undertaken to provide a broader range of experience. A workshop combining experts from a range of industries will be considered as a method of identifying best practice with applicability from outside the nuclear industry. Findings from the partner workshops, the regulator workshops, the external workshops and the review process will be assembled into a report (Workpack 1.8) which will provide a consolidated view of specific experience, decision making tools, approaches and recommendations which can be incorporated into future partner and/or Prosperity Partnership projects. Feedback sessions (Workpack 1.9) will then be undertaken with partners and the regulators (Workpack 1.10) in order to assemble comments, feedback and improvements. This approach recognises that the model development process is dynamic (e.g. as technologies, tools and requirements evolve) and as a result the model will be enhanced through iterative review and updates. Based on feedback, a second iteration of the model (Workpack 1.11) will be developed and circulated, as a series of case studies are launched which will look to evaluate and demonstrate the concepts contained within the model. In this way, the model will inform the development of the case studies while the experience of the case studies will form useful feedback to the model, which will be captured and incorporated (Workpack 1.12) to further improve the model (Workpack 1.13). |
| Start Year | 2020 |
| Description | A case-study led framework for development and deployment of analytics in the nuclear industry |
| Organisation | EDF Energy |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The engagement will, through workshops and discussions with industry partners, assemble and consolidate best practice and experience into an 'Analytics Model' framework for development and deployment of analytics in the nuclear industry, including the role of the regulator in validation and verification. In parallel to this work, case studies on areas of overlapping interest to industry members will be undertaken in order to develop and demonstrate the framework. |
| Collaborator Contribution | Access to relevant domain experts and equipment owners for workshops, data and knowledge capture, and review and feedback on technical reporting. Access to data and equipment required to extract data from existing systems. Access to necessary partner (or contractor) technical documentation. |
| Impact | An initial workshop (Workpack 1.1) will be conducted with industry partners to explore current challenges and approaches that partners are employing, and their success and experience. A report (Workpack 1.2) summarising these findings will be produced and circulated for discussion and feedback. Individual partner workshops (Workpack 1.3) will be undertaken as appropriate to identify more detailed relevant OPEX and information. In parallel, a set of workshops will be proposed with the regulators (Workpack 1.4), in the UK and Canada, in order to identify the key requirements for effective validation and verification of analytics. The outputs of these workshops will be prepared as a report and circulated to partners. A formal review (Workpack 1.5) will then be undertaken of the approaches, techniques and technologies identified in the workshops which will identify specific requirements (Workpack 1.6) for a framework, covering: - Technology selection and integration - Deployment and security - Validation and verification - Regulatory regime and approval A comprehensive review (Workpack 1.7) of similar activities in non-member organisations, including outside the nuclear industry, will be undertaken to provide a broader range of experience. A workshop combining experts from a range of industries will be considered as a method of identifying best practice with applicability from outside the nuclear industry. Findings from the partner workshops, the regulator workshops, the external workshops and the review process will be assembled into a report (Workpack 1.8) which will provide a consolidated view of specific experience, decision making tools, approaches and recommendations which can be incorporated into future partner and/or Prosperity Partnership projects. Feedback sessions (Workpack 1.9) will then be undertaken with partners and the regulators (Workpack 1.10) in order to assemble comments, feedback and improvements. This approach recognises that the model development process is dynamic (e.g. as technologies, tools and requirements evolve) and as a result the model will be enhanced through iterative review and updates. Based on feedback, a second iteration of the model (Workpack 1.11) will be developed and circulated, as a series of case studies are launched which will look to evaluate and demonstrate the concepts contained within the model. In this way, the model will inform the development of the case studies while the experience of the case studies will form useful feedback to the model, which will be captured and incorporated (Workpack 1.12) to further improve the model (Workpack 1.13). |
| Start Year | 2020 |
| Description | BAM-Nuttall Appointed on Babcock International Group Contract |
| Organisation | BAM Nuttall |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Underpinning research outputs conducted in collaboration with BAM Nuttall is now being taken forward by Babcock International Group as a key technology on a site remediation plan a Devonport Dockyard. |
| Collaborator Contribution | BAM-Nuttall part-funded the related research, which is now being exploited. |
| Impact | BAM-Nuttall contract with Babcock International Group |
| Start Year | 2022 |
| Description | Biotechnology for Design of Decommissionable Concrete |
| Organisation | BAM Nuttall |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Technologies being developed for the application of microbially induced mineral precipitation, specifically calcite, aragonite and apatite, on concrete and other geological materials (soils and rocks). Bio-treatment of concrete to develop new concrete material for use on nuclear sites (e.g. for construction of bunds beneath decommissioning operational areas or for new-build infrastructure). Retrofitting of technology to existing concrete structures (e.g. for application to uncontaminated concrete as a protection during decommissioning and deconstruction operations). Concrete specifically designed to trap radionuclides into a thin surface layer, that is easily removable. |
| Collaborator Contribution | Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to develop the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on deployment aspects during development phases of the technologies and also regulations associated with acceptance by the industry regulator. |
| Impact | Discussion meetings held to determine likely applications and environments as an input into material design. |
| Start Year | 2018 |
| Description | Biotechnology for Design of Decommissionable Concrete |
| Organisation | Babcock International Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Technologies being developed for the application of microbially induced mineral precipitation, specifically calcite, aragonite and apatite, on concrete and other geological materials (soils and rocks). Bio-treatment of concrete to develop new concrete material for use on nuclear sites (e.g. for construction of bunds beneath decommissioning operational areas or for new-build infrastructure). Retrofitting of technology to existing concrete structures (e.g. for application to uncontaminated concrete as a protection during decommissioning and deconstruction operations). Concrete specifically designed to trap radionuclides into a thin surface layer, that is easily removable. |
| Collaborator Contribution | Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to develop the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on deployment aspects during development phases of the technologies and also regulations associated with acceptance by the industry regulator. |
| Impact | Discussion meetings held to determine likely applications and environments as an input into material design. |
| Start Year | 2018 |
| Description | Biotechnology for Design of Decommissionable Concrete |
| Organisation | Bruce Power |
| Country | Canada |
| Sector | Private |
| PI Contribution | Technologies being developed for the application of microbially induced mineral precipitation, specifically calcite, aragonite and apatite, on concrete and other geological materials (soils and rocks). Bio-treatment of concrete to develop new concrete material for use on nuclear sites (e.g. for construction of bunds beneath decommissioning operational areas or for new-build infrastructure). Retrofitting of technology to existing concrete structures (e.g. for application to uncontaminated concrete as a protection during decommissioning and deconstruction operations). Concrete specifically designed to trap radionuclides into a thin surface layer, that is easily removable. |
| Collaborator Contribution | Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to develop the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on deployment aspects during development phases of the technologies and also regulations associated with acceptance by the industry regulator. |
| Impact | Discussion meetings held to determine likely applications and environments as an input into material design. |
| Start Year | 2018 |
| Description | Biotechnology for Design of Decommissionable Concrete |
| Organisation | EDF Energy |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Technologies being developed for the application of microbially induced mineral precipitation, specifically calcite, aragonite and apatite, on concrete and other geological materials (soils and rocks). Bio-treatment of concrete to develop new concrete material for use on nuclear sites (e.g. for construction of bunds beneath decommissioning operational areas or for new-build infrastructure). Retrofitting of technology to existing concrete structures (e.g. for application to uncontaminated concrete as a protection during decommissioning and deconstruction operations). Concrete specifically designed to trap radionuclides into a thin surface layer, that is easily removable. |
| Collaborator Contribution | Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to develop the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on deployment aspects during development phases of the technologies and also regulations associated with acceptance by the industry regulator. |
| Impact | Discussion meetings held to determine likely applications and environments as an input into material design. |
| Start Year | 2018 |
| Description | Biotechnology for Design of Decommissionable Concrete |
| Organisation | Kinectrics Ltd |
| Country | Canada |
| Sector | Private |
| PI Contribution | Technologies being developed for the application of microbially induced mineral precipitation, specifically calcite, aragonite and apatite, on concrete and other geological materials (soils and rocks). Bio-treatment of concrete to develop new concrete material for use on nuclear sites (e.g. for construction of bunds beneath decommissioning operational areas or for new-build infrastructure). Retrofitting of technology to existing concrete structures (e.g. for application to uncontaminated concrete as a protection during decommissioning and deconstruction operations). Concrete specifically designed to trap radionuclides into a thin surface layer, that is easily removable. |
| Collaborator Contribution | Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to develop the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on deployment aspects during development phases of the technologies and also regulations associated with acceptance by the industry regulator. |
| Impact | Discussion meetings held to determine likely applications and environments as an input into material design. |
| Start Year | 2018 |
| Description | Biotechnology for the Treatment and Repair of Concrete Nuclear Infrastructure |
| Organisation | BAM Nuttall |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Development of nuclear specific repair strategies for concrete on nuclear sites, adopting three underlying technologies: Microbially Induced Calcite Precipitation (MICP); Enzyme-Based Calcite Precipitation (EBCP); and, colloidal silica-based repair. These are applied to: repair of building stone; ground improvements (strengthening soils/rocks); and, grout for the formation of subsurface hydraulic barriers. |
| Collaborator Contribution | Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to deploy the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on how to best deploy the technologies as they are developed and also be accepted by the industry regulator. |
| Impact | Location and case studies of technology development have been identified: Babcock International Group - Dockyard wall repair and life extension; and, Bruce Power and EDF Energy - degraded concrete radiation sheilding and concrete foundations; |
| Start Year | 2018 |
| Description | Biotechnology for the Treatment and Repair of Concrete Nuclear Infrastructure |
| Organisation | Babcock International Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Development of nuclear specific repair strategies for concrete on nuclear sites, adopting three underlying technologies: Microbially Induced Calcite Precipitation (MICP); Enzyme-Based Calcite Precipitation (EBCP); and, colloidal silica-based repair. These are applied to: repair of building stone; ground improvements (strengthening soils/rocks); and, grout for the formation of subsurface hydraulic barriers. |
| Collaborator Contribution | Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to deploy the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on how to best deploy the technologies as they are developed and also be accepted by the industry regulator. |
| Impact | Location and case studies of technology development have been identified: Babcock International Group - Dockyard wall repair and life extension; and, Bruce Power and EDF Energy - degraded concrete radiation sheilding and concrete foundations; |
| Start Year | 2018 |
| Description | Biotechnology for the Treatment and Repair of Concrete Nuclear Infrastructure |
| Organisation | Bruce Power |
| Country | Canada |
| Sector | Private |
| PI Contribution | Development of nuclear specific repair strategies for concrete on nuclear sites, adopting three underlying technologies: Microbially Induced Calcite Precipitation (MICP); Enzyme-Based Calcite Precipitation (EBCP); and, colloidal silica-based repair. These are applied to: repair of building stone; ground improvements (strengthening soils/rocks); and, grout for the formation of subsurface hydraulic barriers. |
| Collaborator Contribution | Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to deploy the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on how to best deploy the technologies as they are developed and also be accepted by the industry regulator. |
| Impact | Location and case studies of technology development have been identified: Babcock International Group - Dockyard wall repair and life extension; and, Bruce Power and EDF Energy - degraded concrete radiation sheilding and concrete foundations; |
| Start Year | 2018 |
| Description | Biotechnology for the Treatment and Repair of Concrete Nuclear Infrastructure |
| Organisation | EDF Energy |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Development of nuclear specific repair strategies for concrete on nuclear sites, adopting three underlying technologies: Microbially Induced Calcite Precipitation (MICP); Enzyme-Based Calcite Precipitation (EBCP); and, colloidal silica-based repair. These are applied to: repair of building stone; ground improvements (strengthening soils/rocks); and, grout for the formation of subsurface hydraulic barriers. |
| Collaborator Contribution | Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to deploy the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on how to best deploy the technologies as they are developed and also be accepted by the industry regulator. |
| Impact | Location and case studies of technology development have been identified: Babcock International Group - Dockyard wall repair and life extension; and, Bruce Power and EDF Energy - degraded concrete radiation sheilding and concrete foundations; |
| Start Year | 2018 |
| Description | Biotechnology for the Treatment and Repair of Concrete Nuclear Infrastructure |
| Organisation | Kinectrics Ltd |
| Country | Canada |
| Sector | Private |
| PI Contribution | Development of nuclear specific repair strategies for concrete on nuclear sites, adopting three underlying technologies: Microbially Induced Calcite Precipitation (MICP); Enzyme-Based Calcite Precipitation (EBCP); and, colloidal silica-based repair. These are applied to: repair of building stone; ground improvements (strengthening soils/rocks); and, grout for the formation of subsurface hydraulic barriers. |
| Collaborator Contribution | Babcock International Group, Bruce Power and EDF Energy each own and/or operate assets with a substantial concrete component. These partners have been working with the project team to identify relevant assets and locations for the deployment of the developed technology. They are also supplying concrete samples for use in laboratory testing and will subsequently provide access to site locations where the technology testing can be conducted in-situ. BAM Nuttall and Kinectrics aim to deploy the technology to a commercial scale and deploy the technologies on behalf of the owner/operators. These service providers are hence providing knowledge on how to best deploy the technologies as they are developed and also be accepted by the industry regulator. |
| Impact | Location and case studies of technology development have been identified: Babcock International Group - Dockyard wall repair and life extension; and, Bruce Power and EDF Energy - degraded concrete radiation sheilding and concrete foundations; |
| Start Year | 2018 |
| Description | Cable and Transformer Monitoring Analytics |
| Organisation | Bruce Power |
| Country | Canada |
| Sector | Private |
| PI Contribution | Improved remaining useful life predictions for electrical plant and equipment (specifically cables and transformers) through novel application of machine learning, Bayesian Networks and statistical analysis. This includes:the creation of adaptive power transformer paper lifetime predictions through machine learning and uncertainty modelling; uncertainty-aware fusion of probabilistic classifiers for improved transformer diagnostics; and, an uncertainty driven probabilistic Health Index Framework for power transformer condition assessment. |
| Collaborator Contribution | Bruce Power have provided extensive access to transformer experts and maintenance engineers to provide requirements, and assess the research results. Kinectrics has provided detailed dissolved-gas-in-oil analysis (DGA) results for Bruce Power transformers, as a result of oil tests undertaken by Kinectrics. EDF Energy have provided detailed cable data to extend the work into this area. |
| Impact | A range of statistical and machine learning models have been created. Draft cable thermal rating model created. Bruce Power cable selection report. EDF Energy cable dataset analysis. |
| Start Year | 2017 |
| Description | Cable and Transformer Monitoring Analytics |
| Organisation | EDF Energy |
| Department | EDF Energy Nuclear Generation |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Improved remaining useful life predictions for electrical plant and equipment (specifically cables and transformers) through novel application of machine learning, Bayesian Networks and statistical analysis. This includes:the creation of adaptive power transformer paper lifetime predictions through machine learning and uncertainty modelling; uncertainty-aware fusion of probabilistic classifiers for improved transformer diagnostics; and, an uncertainty driven probabilistic Health Index Framework for power transformer condition assessment. |
| Collaborator Contribution | Bruce Power have provided extensive access to transformer experts and maintenance engineers to provide requirements, and assess the research results. Kinectrics has provided detailed dissolved-gas-in-oil analysis (DGA) results for Bruce Power transformers, as a result of oil tests undertaken by Kinectrics. EDF Energy have provided detailed cable data to extend the work into this area. |
| Impact | A range of statistical and machine learning models have been created. Draft cable thermal rating model created. Bruce Power cable selection report. EDF Energy cable dataset analysis. |
| Start Year | 2017 |
| Description | Cable and Transformer Monitoring Analytics |
| Organisation | Kinectrics Ltd |
| Country | Canada |
| Sector | Private |
| PI Contribution | Improved remaining useful life predictions for electrical plant and equipment (specifically cables and transformers) through novel application of machine learning, Bayesian Networks and statistical analysis. This includes:the creation of adaptive power transformer paper lifetime predictions through machine learning and uncertainty modelling; uncertainty-aware fusion of probabilistic classifiers for improved transformer diagnostics; and, an uncertainty driven probabilistic Health Index Framework for power transformer condition assessment. |
| Collaborator Contribution | Bruce Power have provided extensive access to transformer experts and maintenance engineers to provide requirements, and assess the research results. Kinectrics has provided detailed dissolved-gas-in-oil analysis (DGA) results for Bruce Power transformers, as a result of oil tests undertaken by Kinectrics. EDF Energy have provided detailed cable data to extend the work into this area. |
| Impact | A range of statistical and machine learning models have been created. Draft cable thermal rating model created. Bruce Power cable selection report. EDF Energy cable dataset analysis. |
| Start Year | 2017 |
| Description | Effective Transfer of Models and Analytic Techniques to Wider Applications |
| Organisation | Babcock International Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | This project is focused on identifying techniques and approaches so that analytic models and algorithms can be more easily and rapidly applied to similar use cases. It is intended to draw upon the research field of "transfer learning" and ensure that this is used effectively within the wider programme's research and development projects. |
| Collaborator Contribution | Case-studies and data were provided by partners for industrial case-study 'target domains'. Collaborating industry partners also supplied engineering expertise related to 'target domain' asset operation, failure mechanisms and associated fault diagnosis. |
| Impact | Work Package 1 - Identification and Development of Appropriate Transfer Techniques Activity 1 - This activity will form the basis of all subsequent work as appropriate methods and techniques for transfer between source and target domains will be either adopted, adapted or developed. The aim of this activity is to both: create techniques that are relevant to the related case studies; and, to ensure they perform effectively in their task. Activity 2 - In order to develop, test and validate the proposed techniques a two-stage approach will be adopted. First the techniques will be developed using publicly available case-study datasets. Candidate datasets available for this project include: the NASA turbofan dataset; the PHM08 dataset; the MFPT bearing fault dataset, the Mathworks rolling element bearing fault dataset; and, the Case Western bearing fault dataset. These datasets are freely available, well curated, and extensively studied; therefore acting as a foundation from which to build experience and expertise. Once foundation understanding of the transfer techniques proposed, their pros and cons, and their limitations is gained, the developed techniques will be applied to real industry case studies (see Work Package 4 and Activity 6 below for this second stage) Milestone 1.1 - Relevant techniques identified. Milestone 1.2 - Successful application of WP1 to basic diagnostic case-study Work Package 2 - Transfer Visualisation and Interpretability Activity 3 - This activity will investigate, propose and demonstrate how the transfer techniques can be visualised/interpreted by an end-user that would ultimately adopt the output. The aim is to provide information on what the transfer process has done and how it has changed the underlying 'source' domain model. Activity 4 - Similar to Activity 2, initial techniques will be applied to publicly available data sets. Milestone 2.1 - Baseline techniques and visualisations identified. Milestone 2.2 - Successful application of WP2 to basic diagnostic case-study Work Package 3 -Transfer Performance and Effectiveness Measures Activity 5 - An indication of model transfer performance and suitability for the 'target' tasks will provide end-users with both a reference for expected performance of the 'transferred' model and an appreciation of any limitations resulting from adopting the transfer technique. Qualitative or quantitative (where appropriate) metrics will be investigated and applied to the case-studies under investigation, with visualisations displayed to the end-user as described in work package 2. Metrics for investigation will include divergence criteria such as 'f-divergences' and 'Bergmann Divergences' but it is expected that adapted or new metric will result from the research, for example expanding for higher dimensional analysis. Milestone 3.1 - Appropriate assessments and metrics identified/developed and applied. Milestone 3.2 - Assessments and metrics incorporated into visualisations. Deliverable 1 - Demonstration of WP1, WP2 and WP3 on public dataset case-study for collaborating industry partner(s). Work Package 4 - Implementation of Transfer Learning, Visualisation and Interpretability Activity 6 - During the timeframes associated with WP1, WP2 and WP3 the project will be continually developing, adapting and assessing transfer technologies relevant to the industry case-studies intended during WP4. During these initial project phases there will therefore be continuous scoping and engagement with industry partners, both to incrementally demonstrate the transfer technologies being developed and also to aid in scoping and identifying appropriate case-studies Activity 7 - For the industry case studies the source domain will be the dataset associated with ANRC 11-2 (feed pump analytics) and the target domains will be a suitably similar asset(s), to be defined by ANRC partners (who can supply the related dataset). The project will aim to develop appropriate transfer techniques and apply these to the different analytic techniques produced in ANRC 11-2. The project will conduct a development and implementation cycle ('transfer sprint') for a case-studies proposed by each ANRC industry partners. Milestone 4.1 - Identify and receive data-sets for industry case studies. Milestone 4.2 - Successful application to industry case-studies. Deliverable 2 - Demonstrations of WP1, WP2 and WP3, as applied to specific ANRC industry case studies ('transfer sprints') for specific partner(s). Deliverable 3 - Final demonstration(s) of outcomes from all work-packages for all ANRC partners at ANRC technical briefing session (or other). |
| Start Year | 2021 |
| Description | Effective Transfer of Models and Analytic Techniques to Wider Applications |
| Organisation | Bruce Power |
| Country | Canada |
| Sector | Private |
| PI Contribution | This project is focused on identifying techniques and approaches so that analytic models and algorithms can be more easily and rapidly applied to similar use cases. It is intended to draw upon the research field of "transfer learning" and ensure that this is used effectively within the wider programme's research and development projects. |
| Collaborator Contribution | Case-studies and data were provided by partners for industrial case-study 'target domains'. Collaborating industry partners also supplied engineering expertise related to 'target domain' asset operation, failure mechanisms and associated fault diagnosis. |
| Impact | Work Package 1 - Identification and Development of Appropriate Transfer Techniques Activity 1 - This activity will form the basis of all subsequent work as appropriate methods and techniques for transfer between source and target domains will be either adopted, adapted or developed. The aim of this activity is to both: create techniques that are relevant to the related case studies; and, to ensure they perform effectively in their task. Activity 2 - In order to develop, test and validate the proposed techniques a two-stage approach will be adopted. First the techniques will be developed using publicly available case-study datasets. Candidate datasets available for this project include: the NASA turbofan dataset; the PHM08 dataset; the MFPT bearing fault dataset, the Mathworks rolling element bearing fault dataset; and, the Case Western bearing fault dataset. These datasets are freely available, well curated, and extensively studied; therefore acting as a foundation from which to build experience and expertise. Once foundation understanding of the transfer techniques proposed, their pros and cons, and their limitations is gained, the developed techniques will be applied to real industry case studies (see Work Package 4 and Activity 6 below for this second stage) Milestone 1.1 - Relevant techniques identified. Milestone 1.2 - Successful application of WP1 to basic diagnostic case-study Work Package 2 - Transfer Visualisation and Interpretability Activity 3 - This activity will investigate, propose and demonstrate how the transfer techniques can be visualised/interpreted by an end-user that would ultimately adopt the output. The aim is to provide information on what the transfer process has done and how it has changed the underlying 'source' domain model. Activity 4 - Similar to Activity 2, initial techniques will be applied to publicly available data sets. Milestone 2.1 - Baseline techniques and visualisations identified. Milestone 2.2 - Successful application of WP2 to basic diagnostic case-study Work Package 3 -Transfer Performance and Effectiveness Measures Activity 5 - An indication of model transfer performance and suitability for the 'target' tasks will provide end-users with both a reference for expected performance of the 'transferred' model and an appreciation of any limitations resulting from adopting the transfer technique. Qualitative or quantitative (where appropriate) metrics will be investigated and applied to the case-studies under investigation, with visualisations displayed to the end-user as described in work package 2. Metrics for investigation will include divergence criteria such as 'f-divergences' and 'Bergmann Divergences' but it is expected that adapted or new metric will result from the research, for example expanding for higher dimensional analysis. Milestone 3.1 - Appropriate assessments and metrics identified/developed and applied. Milestone 3.2 - Assessments and metrics incorporated into visualisations. Deliverable 1 - Demonstration of WP1, WP2 and WP3 on public dataset case-study for collaborating industry partner(s). Work Package 4 - Implementation of Transfer Learning, Visualisation and Interpretability Activity 6 - During the timeframes associated with WP1, WP2 and WP3 the project will be continually developing, adapting and assessing transfer technologies relevant to the industry case-studies intended during WP4. During these initial project phases there will therefore be continuous scoping and engagement with industry partners, both to incrementally demonstrate the transfer technologies being developed and also to aid in scoping and identifying appropriate case-studies Activity 7 - For the industry case studies the source domain will be the dataset associated with ANRC 11-2 (feed pump analytics) and the target domains will be a suitably similar asset(s), to be defined by ANRC partners (who can supply the related dataset). The project will aim to develop appropriate transfer techniques and apply these to the different analytic techniques produced in ANRC 11-2. The project will conduct a development and implementation cycle ('transfer sprint') for a case-studies proposed by each ANRC industry partners. Milestone 4.1 - Identify and receive data-sets for industry case studies. Milestone 4.2 - Successful application to industry case-studies. Deliverable 2 - Demonstrations of WP1, WP2 and WP3, as applied to specific ANRC industry case studies ('transfer sprints') for specific partner(s). Deliverable 3 - Final demonstration(s) of outcomes from all work-packages for all ANRC partners at ANRC technical briefing session (or other). |
| Start Year | 2021 |
| Description | Effective Transfer of Models and Analytic Techniques to Wider Applications |
| Organisation | Doosan Babcock |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | This project is focused on identifying techniques and approaches so that analytic models and algorithms can be more easily and rapidly applied to similar use cases. It is intended to draw upon the research field of "transfer learning" and ensure that this is used effectively within the wider programme's research and development projects. |
| Collaborator Contribution | Case-studies and data were provided by partners for industrial case-study 'target domains'. Collaborating industry partners also supplied engineering expertise related to 'target domain' asset operation, failure mechanisms and associated fault diagnosis. |
| Impact | Work Package 1 - Identification and Development of Appropriate Transfer Techniques Activity 1 - This activity will form the basis of all subsequent work as appropriate methods and techniques for transfer between source and target domains will be either adopted, adapted or developed. The aim of this activity is to both: create techniques that are relevant to the related case studies; and, to ensure they perform effectively in their task. Activity 2 - In order to develop, test and validate the proposed techniques a two-stage approach will be adopted. First the techniques will be developed using publicly available case-study datasets. Candidate datasets available for this project include: the NASA turbofan dataset; the PHM08 dataset; the MFPT bearing fault dataset, the Mathworks rolling element bearing fault dataset; and, the Case Western bearing fault dataset. These datasets are freely available, well curated, and extensively studied; therefore acting as a foundation from which to build experience and expertise. Once foundation understanding of the transfer techniques proposed, their pros and cons, and their limitations is gained, the developed techniques will be applied to real industry case studies (see Work Package 4 and Activity 6 below for this second stage) Milestone 1.1 - Relevant techniques identified. Milestone 1.2 - Successful application of WP1 to basic diagnostic case-study Work Package 2 - Transfer Visualisation and Interpretability Activity 3 - This activity will investigate, propose and demonstrate how the transfer techniques can be visualised/interpreted by an end-user that would ultimately adopt the output. The aim is to provide information on what the transfer process has done and how it has changed the underlying 'source' domain model. Activity 4 - Similar to Activity 2, initial techniques will be applied to publicly available data sets. Milestone 2.1 - Baseline techniques and visualisations identified. Milestone 2.2 - Successful application of WP2 to basic diagnostic case-study Work Package 3 -Transfer Performance and Effectiveness Measures Activity 5 - An indication of model transfer performance and suitability for the 'target' tasks will provide end-users with both a reference for expected performance of the 'transferred' model and an appreciation of any limitations resulting from adopting the transfer technique. Qualitative or quantitative (where appropriate) metrics will be investigated and applied to the case-studies under investigation, with visualisations displayed to the end-user as described in work package 2. Metrics for investigation will include divergence criteria such as 'f-divergences' and 'Bergmann Divergences' but it is expected that adapted or new metric will result from the research, for example expanding for higher dimensional analysis. Milestone 3.1 - Appropriate assessments and metrics identified/developed and applied. Milestone 3.2 - Assessments and metrics incorporated into visualisations. Deliverable 1 - Demonstration of WP1, WP2 and WP3 on public dataset case-study for collaborating industry partner(s). Work Package 4 - Implementation of Transfer Learning, Visualisation and Interpretability Activity 6 - During the timeframes associated with WP1, WP2 and WP3 the project will be continually developing, adapting and assessing transfer technologies relevant to the industry case-studies intended during WP4. During these initial project phases there will therefore be continuous scoping and engagement with industry partners, both to incrementally demonstrate the transfer technologies being developed and also to aid in scoping and identifying appropriate case-studies Activity 7 - For the industry case studies the source domain will be the dataset associated with ANRC 11-2 (feed pump analytics) and the target domains will be a suitably similar asset(s), to be defined by ANRC partners (who can supply the related dataset). The project will aim to develop appropriate transfer techniques and apply these to the different analytic techniques produced in ANRC 11-2. The project will conduct a development and implementation cycle ('transfer sprint') for a case-studies proposed by each ANRC industry partners. Milestone 4.1 - Identify and receive data-sets for industry case studies. Milestone 4.2 - Successful application to industry case-studies. Deliverable 2 - Demonstrations of WP1, WP2 and WP3, as applied to specific ANRC industry case studies ('transfer sprints') for specific partner(s). Deliverable 3 - Final demonstration(s) of outcomes from all work-packages for all ANRC partners at ANRC technical briefing session (or other). |
| Start Year | 2021 |
| Description | Effective Transfer of Models and Analytic Techniques to Wider Applications |
| Organisation | EDF Energy |
| Department | EDF Energy Nuclear Generation |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | This project is focused on identifying techniques and approaches so that analytic models and algorithms can be more easily and rapidly applied to similar use cases. It is intended to draw upon the research field of "transfer learning" and ensure that this is used effectively within the wider programme's research and development projects. |
| Collaborator Contribution | Case-studies and data were provided by partners for industrial case-study 'target domains'. Collaborating industry partners also supplied engineering expertise related to 'target domain' asset operation, failure mechanisms and associated fault diagnosis. |
| Impact | Work Package 1 - Identification and Development of Appropriate Transfer Techniques Activity 1 - This activity will form the basis of all subsequent work as appropriate methods and techniques for transfer between source and target domains will be either adopted, adapted or developed. The aim of this activity is to both: create techniques that are relevant to the related case studies; and, to ensure they perform effectively in their task. Activity 2 - In order to develop, test and validate the proposed techniques a two-stage approach will be adopted. First the techniques will be developed using publicly available case-study datasets. Candidate datasets available for this project include: the NASA turbofan dataset; the PHM08 dataset; the MFPT bearing fault dataset, the Mathworks rolling element bearing fault dataset; and, the Case Western bearing fault dataset. These datasets are freely available, well curated, and extensively studied; therefore acting as a foundation from which to build experience and expertise. Once foundation understanding of the transfer techniques proposed, their pros and cons, and their limitations is gained, the developed techniques will be applied to real industry case studies (see Work Package 4 and Activity 6 below for this second stage) Milestone 1.1 - Relevant techniques identified. Milestone 1.2 - Successful application of WP1 to basic diagnostic case-study Work Package 2 - Transfer Visualisation and Interpretability Activity 3 - This activity will investigate, propose and demonstrate how the transfer techniques can be visualised/interpreted by an end-user that would ultimately adopt the output. The aim is to provide information on what the transfer process has done and how it has changed the underlying 'source' domain model. Activity 4 - Similar to Activity 2, initial techniques will be applied to publicly available data sets. Milestone 2.1 - Baseline techniques and visualisations identified. Milestone 2.2 - Successful application of WP2 to basic diagnostic case-study Work Package 3 -Transfer Performance and Effectiveness Measures Activity 5 - An indication of model transfer performance and suitability for the 'target' tasks will provide end-users with both a reference for expected performance of the 'transferred' model and an appreciation of any limitations resulting from adopting the transfer technique. Qualitative or quantitative (where appropriate) metrics will be investigated and applied to the case-studies under investigation, with visualisations displayed to the end-user as described in work package 2. Metrics for investigation will include divergence criteria such as 'f-divergences' and 'Bergmann Divergences' but it is expected that adapted or new metric will result from the research, for example expanding for higher dimensional analysis. Milestone 3.1 - Appropriate assessments and metrics identified/developed and applied. Milestone 3.2 - Assessments and metrics incorporated into visualisations. Deliverable 1 - Demonstration of WP1, WP2 and WP3 on public dataset case-study for collaborating industry partner(s). Work Package 4 - Implementation of Transfer Learning, Visualisation and Interpretability Activity 6 - During the timeframes associated with WP1, WP2 and WP3 the project will be continually developing, adapting and assessing transfer technologies relevant to the industry case-studies intended during WP4. During these initial project phases there will therefore be continuous scoping and engagement with industry partners, both to incrementally demonstrate the transfer technologies being developed and also to aid in scoping and identifying appropriate case-studies Activity 7 - For the industry case studies the source domain will be the dataset associated with ANRC 11-2 (feed pump analytics) and the target domains will be a suitably similar asset(s), to be defined by ANRC partners (who can supply the related dataset). The project will aim to develop appropriate transfer techniques and apply these to the different analytic techniques produced in ANRC 11-2. The project will conduct a development and implementation cycle ('transfer sprint') for a case-studies proposed by each ANRC industry partners. Milestone 4.1 - Identify and receive data-sets for industry case studies. Milestone 4.2 - Successful application to industry case-studies. Deliverable 2 - Demonstrations of WP1, WP2 and WP3, as applied to specific ANRC industry case studies ('transfer sprints') for specific partner(s). Deliverable 3 - Final demonstration(s) of outcomes from all work-packages for all ANRC partners at ANRC technical briefing session (or other). |
| Start Year | 2021 |
| Description | Main Boiler Feed Pump Analytics |
| Organisation | Alan Turing Institute |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Requirements for analytics around main boiler feedpumps in nuclear power plants. Identification of data science visualisation and machine learning techniques that can be used for the power plant data. Initial visualisations of the data has revealed some typical behaviours of individual measurements, how they relate to one another, as well as how they have changed over the operational periods of the pump. |
| Collaborator Contribution | The Weir Group have provided direct engineering expertise on the pumps, and insight into the data. EDF Energy have provided data from main boiler feedpumps. The Alan Turing Institute are providing assistance with the development and deployment of data science techniques. |
| Impact | Initial visualisations of the data has revealed some typical behaviours of individual measurements, how they relate to one another, as well as how they have changed over the operational periods of the pump. Initial knowledge elicitation meetings to capture engineering knowledge complete - further meetings expected. Associated literature review on machine fault diagnosis for rotating plant compete. Prototype system user and functional specification document under development. Workshops between The University of Strathclyde and The Alan Turing Institute conducted to define work breakdown and tasking complete. |
| Start Year | 2018 |
| Description | Main Boiler Feed Pump Analytics |
| Organisation | EDF Energy |
| Department | EDF Energy Nuclear Generation |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Requirements for analytics around main boiler feedpumps in nuclear power plants. Identification of data science visualisation and machine learning techniques that can be used for the power plant data. Initial visualisations of the data has revealed some typical behaviours of individual measurements, how they relate to one another, as well as how they have changed over the operational periods of the pump. |
| Collaborator Contribution | The Weir Group have provided direct engineering expertise on the pumps, and insight into the data. EDF Energy have provided data from main boiler feedpumps. The Alan Turing Institute are providing assistance with the development and deployment of data science techniques. |
| Impact | Initial visualisations of the data has revealed some typical behaviours of individual measurements, how they relate to one another, as well as how they have changed over the operational periods of the pump. Initial knowledge elicitation meetings to capture engineering knowledge complete - further meetings expected. Associated literature review on machine fault diagnosis for rotating plant compete. Prototype system user and functional specification document under development. Workshops between The University of Strathclyde and The Alan Turing Institute conducted to define work breakdown and tasking complete. |
| Start Year | 2018 |
| Description | Main Boiler Feed Pump Analytics |
| Organisation | Weir Group plc |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Requirements for analytics around main boiler feedpumps in nuclear power plants. Identification of data science visualisation and machine learning techniques that can be used for the power plant data. Initial visualisations of the data has revealed some typical behaviours of individual measurements, how they relate to one another, as well as how they have changed over the operational periods of the pump. |
| Collaborator Contribution | The Weir Group have provided direct engineering expertise on the pumps, and insight into the data. EDF Energy have provided data from main boiler feedpumps. The Alan Turing Institute are providing assistance with the development and deployment of data science techniques. |
| Impact | Initial visualisations of the data has revealed some typical behaviours of individual measurements, how they relate to one another, as well as how they have changed over the operational periods of the pump. Initial knowledge elicitation meetings to capture engineering knowledge complete - further meetings expected. Associated literature review on machine fault diagnosis for rotating plant compete. Prototype system user and functional specification document under development. Workshops between The University of Strathclyde and The Alan Turing Institute conducted to define work breakdown and tasking complete. |
| Start Year | 2018 |
| Description | Ultrasonic Inspection and Monitoring for Challenging Industrial Welding Applications |
| Organisation | Babcock International Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Research and development of a prototype traffic-lighting system indicating weld quality, with a focus on beam steering and time of flight diffraction studies. |
| Collaborator Contribution | Babcock International Group, EDF Energy and Bruce Power engineers have identified weld geometries to focus on, based on their applications and needs. They are also providing details and input on the industry standards for weld geometries and weld qualities that need to be incorporated into the project. Cranfield University are experts in fusion welding and are contributing knowledge on the weld process. |
| Impact | Initial specifications of weld quality identification systems. Robot training for weld tool completed. Ultrasonic propagation modelling frame utilizing linear arrays developed. Rubber coupling material characterized acoustically for longitudinal properties. Thermal measurements for in-process welding on-going. |
| Start Year | 2018 |
| Description | Ultrasonic Inspection and Monitoring for Challenging Industrial Welding Applications |
| Organisation | Bruce Power |
| Country | Canada |
| Sector | Private |
| PI Contribution | Research and development of a prototype traffic-lighting system indicating weld quality, with a focus on beam steering and time of flight diffraction studies. |
| Collaborator Contribution | Babcock International Group, EDF Energy and Bruce Power engineers have identified weld geometries to focus on, based on their applications and needs. They are also providing details and input on the industry standards for weld geometries and weld qualities that need to be incorporated into the project. Cranfield University are experts in fusion welding and are contributing knowledge on the weld process. |
| Impact | Initial specifications of weld quality identification systems. Robot training for weld tool completed. Ultrasonic propagation modelling frame utilizing linear arrays developed. Rubber coupling material characterized acoustically for longitudinal properties. Thermal measurements for in-process welding on-going. |
| Start Year | 2018 |
| Description | Ultrasonic Inspection and Monitoring for Challenging Industrial Welding Applications |
| Organisation | Cranfield University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Research and development of a prototype traffic-lighting system indicating weld quality, with a focus on beam steering and time of flight diffraction studies. |
| Collaborator Contribution | Babcock International Group, EDF Energy and Bruce Power engineers have identified weld geometries to focus on, based on their applications and needs. They are also providing details and input on the industry standards for weld geometries and weld qualities that need to be incorporated into the project. Cranfield University are experts in fusion welding and are contributing knowledge on the weld process. |
| Impact | Initial specifications of weld quality identification systems. Robot training for weld tool completed. Ultrasonic propagation modelling frame utilizing linear arrays developed. Rubber coupling material characterized acoustically for longitudinal properties. Thermal measurements for in-process welding on-going. |
| Start Year | 2018 |
| Description | Ultrasonic Inspection and Monitoring for Challenging Industrial Welding Applications |
| Organisation | EDF Energy |
| Department | EDF Energy Nuclear Generation |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Research and development of a prototype traffic-lighting system indicating weld quality, with a focus on beam steering and time of flight diffraction studies. |
| Collaborator Contribution | Babcock International Group, EDF Energy and Bruce Power engineers have identified weld geometries to focus on, based on their applications and needs. They are also providing details and input on the industry standards for weld geometries and weld qualities that need to be incorporated into the project. Cranfield University are experts in fusion welding and are contributing knowledge on the weld process. |
| Impact | Initial specifications of weld quality identification systems. Robot training for weld tool completed. Ultrasonic propagation modelling frame utilizing linear arrays developed. Rubber coupling material characterized acoustically for longitudinal properties. Thermal measurements for in-process welding on-going. |
| Start Year | 2018 |
| Description | Zero Assumption Non-Destructive Evaluation (ZANDE) |
| Organisation | Babcock International Group |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The project builds upon existing University of Strathclyde knowledge: 1. Concepts of generalised NDE toolsets for robotics, and parts of an integrated manufacturing NDE process (10 years of development of a custom robotic platform incorporating integrated NDE probe system and 6 years in fixed base manipulators); 2. Automated robot trajectory planning for complex geometries (commercial and in-house developments); 3. Surface profile measurements when CAD models not available (to construct CAD models for automated trajectory planning for NDE); 4. Robot integration and coordination of external metrology/measurement technologies for spatial data location/registration; 5. Real time compensation/adaptive control of NDE delivery robots in response to measured metrology data - use of generalised probabilistic framework for data combination/fusion; 6. Use of NDE data as both NDE and metrology data (localised feature extraction for use as spatial feedback) - Using reflections from material interfaces (component edges) to provide spatial feedback and resultant ray-traced corrected Total Focussing Method (TFM) for complex shapes. 7. "On-the-fly" focal law modification for ultrasonic imaging; 8. Real time curved interface TFM and associated off-line reconstruction algorithms for Full Matrix Capture (FMC) ultrasonic approaches; 9. Control strategies for multiple robot systems; 10. Automated defect recognition (pattern recognition based); 11. NDE data presentation/visualisation, including overlay in to CAD geometries and 3D display; 12. Calibration of external metrology systems using laser trackers/range finders and common target approach; 13. Know-how and expertise in the form of robot designs, circuit designs and copyrighted software code; 14. Real time sensor data acquisition and signal processing (both mobile and fixed) for NDE, obstacle avoidance, positional estimation and mapping; 15. Wired and wireless low powered monitoring and data logging/acquisition system design and software; 16. Non-contact ultrasonic transducer design, manufacture and operation in industrial applications; |
| Collaborator Contribution | The ultimate aim of the research is to deploy new/novel methods of automated Non-Destructive Evaluation (NDE). The aim is to deploy this technology on the sites operated by Babcock International Group, EDF Energy, and Bruce Power. These organisations have hence been working with the project team to identify and define suitable case studies for the development and deployment of the technology. The real industrial knowledge and understanding provided by engineers from each of the aforementioned organisations is ensuring that there is a real engineering problem to be addressed. Kinectrics are a service supplier to the operational organisations mentioned above. Kinectrics are working with the project team to ensure that the technology developed can be adopted by a relevant service supplier to deploy a suitable solution on site. Kinectrics are contributing their knowledge on how to best deploy technologies to the operational organisations and with the regulator to the industry also. The UK Research Center for Non-Destructive Evaluation (RCNDE) are partnered in this project as they have the same goals in the research, i.e. new/novel forms of NDE. The RCNDE are a funding body and are funding 1 year (of 3) of the research. |
| Impact | The collaborating partners have held meetings to identify the case study geometries for the technology development. This will form the basis for one (or two) 'mock-ups' that will be developed in the University laboratory. |
| Start Year | 2018 |
| Description | Zero Assumption Non-Destructive Evaluation (ZANDE) |
| Organisation | Bruce Power |
| Country | Canada |
| Sector | Private |
| PI Contribution | The project builds upon existing University of Strathclyde knowledge: 1. Concepts of generalised NDE toolsets for robotics, and parts of an integrated manufacturing NDE process (10 years of development of a custom robotic platform incorporating integrated NDE probe system and 6 years in fixed base manipulators); 2. Automated robot trajectory planning for complex geometries (commercial and in-house developments); 3. Surface profile measurements when CAD models not available (to construct CAD models for automated trajectory planning for NDE); 4. Robot integration and coordination of external metrology/measurement technologies for spatial data location/registration; 5. Real time compensation/adaptive control of NDE delivery robots in response to measured metrology data - use of generalised probabilistic framework for data combination/fusion; 6. Use of NDE data as both NDE and metrology data (localised feature extraction for use as spatial feedback) - Using reflections from material interfaces (component edges) to provide spatial feedback and resultant ray-traced corrected Total Focussing Method (TFM) for complex shapes. 7. "On-the-fly" focal law modification for ultrasonic imaging; 8. Real time curved interface TFM and associated off-line reconstruction algorithms for Full Matrix Capture (FMC) ultrasonic approaches; 9. Control strategies for multiple robot systems; 10. Automated defect recognition (pattern recognition based); 11. NDE data presentation/visualisation, including overlay in to CAD geometries and 3D display; 12. Calibration of external metrology systems using laser trackers/range finders and common target approach; 13. Know-how and expertise in the form of robot designs, circuit designs and copyrighted software code; 14. Real time sensor data acquisition and signal processing (both mobile and fixed) for NDE, obstacle avoidance, positional estimation and mapping; 15. Wired and wireless low powered monitoring and data logging/acquisition system design and software; 16. Non-contact ultrasonic transducer design, manufacture and operation in industrial applications; |
| Collaborator Contribution | The ultimate aim of the research is to deploy new/novel methods of automated Non-Destructive Evaluation (NDE). The aim is to deploy this technology on the sites operated by Babcock International Group, EDF Energy, and Bruce Power. These organisations have hence been working with the project team to identify and define suitable case studies for the development and deployment of the technology. The real industrial knowledge and understanding provided by engineers from each of the aforementioned organisations is ensuring that there is a real engineering problem to be addressed. Kinectrics are a service supplier to the operational organisations mentioned above. Kinectrics are working with the project team to ensure that the technology developed can be adopted by a relevant service supplier to deploy a suitable solution on site. Kinectrics are contributing their knowledge on how to best deploy technologies to the operational organisations and with the regulator to the industry also. The UK Research Center for Non-Destructive Evaluation (RCNDE) are partnered in this project as they have the same goals in the research, i.e. new/novel forms of NDE. The RCNDE are a funding body and are funding 1 year (of 3) of the research. |
| Impact | The collaborating partners have held meetings to identify the case study geometries for the technology development. This will form the basis for one (or two) 'mock-ups' that will be developed in the University laboratory. |
| Start Year | 2018 |
| Description | Zero Assumption Non-Destructive Evaluation (ZANDE) |
| Organisation | EDF Energy |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | The project builds upon existing University of Strathclyde knowledge: 1. Concepts of generalised NDE toolsets for robotics, and parts of an integrated manufacturing NDE process (10 years of development of a custom robotic platform incorporating integrated NDE probe system and 6 years in fixed base manipulators); 2. Automated robot trajectory planning for complex geometries (commercial and in-house developments); 3. Surface profile measurements when CAD models not available (to construct CAD models for automated trajectory planning for NDE); 4. Robot integration and coordination of external metrology/measurement technologies for spatial data location/registration; 5. Real time compensation/adaptive control of NDE delivery robots in response to measured metrology data - use of generalised probabilistic framework for data combination/fusion; 6. Use of NDE data as both NDE and metrology data (localised feature extraction for use as spatial feedback) - Using reflections from material interfaces (component edges) to provide spatial feedback and resultant ray-traced corrected Total Focussing Method (TFM) for complex shapes. 7. "On-the-fly" focal law modification for ultrasonic imaging; 8. Real time curved interface TFM and associated off-line reconstruction algorithms for Full Matrix Capture (FMC) ultrasonic approaches; 9. Control strategies for multiple robot systems; 10. Automated defect recognition (pattern recognition based); 11. NDE data presentation/visualisation, including overlay in to CAD geometries and 3D display; 12. Calibration of external metrology systems using laser trackers/range finders and common target approach; 13. Know-how and expertise in the form of robot designs, circuit designs and copyrighted software code; 14. Real time sensor data acquisition and signal processing (both mobile and fixed) for NDE, obstacle avoidance, positional estimation and mapping; 15. Wired and wireless low powered monitoring and data logging/acquisition system design and software; 16. Non-contact ultrasonic transducer design, manufacture and operation in industrial applications; |
| Collaborator Contribution | The ultimate aim of the research is to deploy new/novel methods of automated Non-Destructive Evaluation (NDE). The aim is to deploy this technology on the sites operated by Babcock International Group, EDF Energy, and Bruce Power. These organisations have hence been working with the project team to identify and define suitable case studies for the development and deployment of the technology. The real industrial knowledge and understanding provided by engineers from each of the aforementioned organisations is ensuring that there is a real engineering problem to be addressed. Kinectrics are a service supplier to the operational organisations mentioned above. Kinectrics are working with the project team to ensure that the technology developed can be adopted by a relevant service supplier to deploy a suitable solution on site. Kinectrics are contributing their knowledge on how to best deploy technologies to the operational organisations and with the regulator to the industry also. The UK Research Center for Non-Destructive Evaluation (RCNDE) are partnered in this project as they have the same goals in the research, i.e. new/novel forms of NDE. The RCNDE are a funding body and are funding 1 year (of 3) of the research. |
| Impact | The collaborating partners have held meetings to identify the case study geometries for the technology development. This will form the basis for one (or two) 'mock-ups' that will be developed in the University laboratory. |
| Start Year | 2018 |
| Description | Zero Assumption Non-Destructive Evaluation (ZANDE) |
| Organisation | Kinectrics Ltd |
| Country | Canada |
| Sector | Private |
| PI Contribution | The project builds upon existing University of Strathclyde knowledge: 1. Concepts of generalised NDE toolsets for robotics, and parts of an integrated manufacturing NDE process (10 years of development of a custom robotic platform incorporating integrated NDE probe system and 6 years in fixed base manipulators); 2. Automated robot trajectory planning for complex geometries (commercial and in-house developments); 3. Surface profile measurements when CAD models not available (to construct CAD models for automated trajectory planning for NDE); 4. Robot integration and coordination of external metrology/measurement technologies for spatial data location/registration; 5. Real time compensation/adaptive control of NDE delivery robots in response to measured metrology data - use of generalised probabilistic framework for data combination/fusion; 6. Use of NDE data as both NDE and metrology data (localised feature extraction for use as spatial feedback) - Using reflections from material interfaces (component edges) to provide spatial feedback and resultant ray-traced corrected Total Focussing Method (TFM) for complex shapes. 7. "On-the-fly" focal law modification for ultrasonic imaging; 8. Real time curved interface TFM and associated off-line reconstruction algorithms for Full Matrix Capture (FMC) ultrasonic approaches; 9. Control strategies for multiple robot systems; 10. Automated defect recognition (pattern recognition based); 11. NDE data presentation/visualisation, including overlay in to CAD geometries and 3D display; 12. Calibration of external metrology systems using laser trackers/range finders and common target approach; 13. Know-how and expertise in the form of robot designs, circuit designs and copyrighted software code; 14. Real time sensor data acquisition and signal processing (both mobile and fixed) for NDE, obstacle avoidance, positional estimation and mapping; 15. Wired and wireless low powered monitoring and data logging/acquisition system design and software; 16. Non-contact ultrasonic transducer design, manufacture and operation in industrial applications; |
| Collaborator Contribution | The ultimate aim of the research is to deploy new/novel methods of automated Non-Destructive Evaluation (NDE). The aim is to deploy this technology on the sites operated by Babcock International Group, EDF Energy, and Bruce Power. These organisations have hence been working with the project team to identify and define suitable case studies for the development and deployment of the technology. The real industrial knowledge and understanding provided by engineers from each of the aforementioned organisations is ensuring that there is a real engineering problem to be addressed. Kinectrics are a service supplier to the operational organisations mentioned above. Kinectrics are working with the project team to ensure that the technology developed can be adopted by a relevant service supplier to deploy a suitable solution on site. Kinectrics are contributing their knowledge on how to best deploy technologies to the operational organisations and with the regulator to the industry also. The UK Research Center for Non-Destructive Evaluation (RCNDE) are partnered in this project as they have the same goals in the research, i.e. new/novel forms of NDE. The RCNDE are a funding body and are funding 1 year (of 3) of the research. |
| Impact | The collaborating partners have held meetings to identify the case study geometries for the technology development. This will form the basis for one (or two) 'mock-ups' that will be developed in the University laboratory. |
| Start Year | 2018 |
| Description | Zero Assumption Non-Destructive Evaluation (ZANDE) |
| Organisation | RCNDE |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The project builds upon existing University of Strathclyde knowledge: 1. Concepts of generalised NDE toolsets for robotics, and parts of an integrated manufacturing NDE process (10 years of development of a custom robotic platform incorporating integrated NDE probe system and 6 years in fixed base manipulators); 2. Automated robot trajectory planning for complex geometries (commercial and in-house developments); 3. Surface profile measurements when CAD models not available (to construct CAD models for automated trajectory planning for NDE); 4. Robot integration and coordination of external metrology/measurement technologies for spatial data location/registration; 5. Real time compensation/adaptive control of NDE delivery robots in response to measured metrology data - use of generalised probabilistic framework for data combination/fusion; 6. Use of NDE data as both NDE and metrology data (localised feature extraction for use as spatial feedback) - Using reflections from material interfaces (component edges) to provide spatial feedback and resultant ray-traced corrected Total Focussing Method (TFM) for complex shapes. 7. "On-the-fly" focal law modification for ultrasonic imaging; 8. Real time curved interface TFM and associated off-line reconstruction algorithms for Full Matrix Capture (FMC) ultrasonic approaches; 9. Control strategies for multiple robot systems; 10. Automated defect recognition (pattern recognition based); 11. NDE data presentation/visualisation, including overlay in to CAD geometries and 3D display; 12. Calibration of external metrology systems using laser trackers/range finders and common target approach; 13. Know-how and expertise in the form of robot designs, circuit designs and copyrighted software code; 14. Real time sensor data acquisition and signal processing (both mobile and fixed) for NDE, obstacle avoidance, positional estimation and mapping; 15. Wired and wireless low powered monitoring and data logging/acquisition system design and software; 16. Non-contact ultrasonic transducer design, manufacture and operation in industrial applications; |
| Collaborator Contribution | The ultimate aim of the research is to deploy new/novel methods of automated Non-Destructive Evaluation (NDE). The aim is to deploy this technology on the sites operated by Babcock International Group, EDF Energy, and Bruce Power. These organisations have hence been working with the project team to identify and define suitable case studies for the development and deployment of the technology. The real industrial knowledge and understanding provided by engineers from each of the aforementioned organisations is ensuring that there is a real engineering problem to be addressed. Kinectrics are a service supplier to the operational organisations mentioned above. Kinectrics are working with the project team to ensure that the technology developed can be adopted by a relevant service supplier to deploy a suitable solution on site. Kinectrics are contributing their knowledge on how to best deploy technologies to the operational organisations and with the regulator to the industry also. The UK Research Center for Non-Destructive Evaluation (RCNDE) are partnered in this project as they have the same goals in the research, i.e. new/novel forms of NDE. The RCNDE are a funding body and are funding 1 year (of 3) of the research. |
| Impact | The collaborating partners have held meetings to identify the case study geometries for the technology development. This will form the basis for one (or two) 'mock-ups' that will be developed in the University laboratory. |
| Start Year | 2018 |
| Title | Electrical Equipment Analytics |
| Description | The transformer analytic methods developed though the Operational Intelligence research theme and deployed by Bruce Power are currently under license negotiations with a 3rd party international company for commercial deployment in their business offerings. Discussions are also underway with an additional analytics company in the UK to implement the diagnostics framework within EDF Energy's chosen transformer analytics platform. |
| IP Reference | |
| Protection | Copyrighted (e.g. software) |
| Year Protection Granted | 2020 |
| Licensed | Yes |
| Impact | Too early to say but expect reduction in diagnostic time and increase accuracy of diagnostic result. This will result in cost savings for existing industrial partners and new revenue for the third-party if/when the service is sold to additional organisations. |
| Title | 3-wheel robotic demonstrator of integrated Laser-visual systems for NDE |
| Description | 3-wheel robotic demonstrator of integrated Laser-visual systems for NDE |
| Type Of Technology | Systems, Materials & Instrumental Engineering |
| Year Produced | 2022 |
| Impact | effective inspection of large high-value engineering assets, e.g. boilers and pressure vessels |
| Title | A novel dry-coupled high-temperature Phased-Array Ultra-Sonic (PAUT) probe |
| Description | The designed probe supports the related project to determine the health of welds during in-process fusion welding. |
| Type Of Technology | Systems, Materials & Instrumental Engineering |
| Year Produced | 2019 |
| Impact | This resulted in the ability to identify fault positive readings potentially resulting during the weld inspection. |
| Title | Bacteria Growth Medium Formulation |
| Description | Growth medium formulation developed for use by industrial partner, BAM Nuttall. |
| Type Of Technology | New/Improved Technique/Technology |
| Year Produced | 2020 |
| Impact | Provides significant cost savings in the production of bacteria |
| Title | Bruce Power Data Analytic Software Demonstrators |
| Description | - Code and tools for extracting, analysing and scaling fuelling machine data (fuelling machine log data analysis) - Prototype dashboard implementing engineer-led fuelling machine metrics (Power BI prototype implementing the code above) - On-demand analysis of fuel reliability data to support engineering decision making (running ad-hoc dataset from fuel defects to compare model outputs with engineering insights) - Prototype sensor degradation tool updated to feature multiple models for field testing (an interface for testing the electrical/sensor failure trained models against more data) - Proof of Concept Site Condition Report Classification Tools (code to support automating the classification and assignment of fault reports) |
| Type Of Technology | Software |
| Year Produced | 2021 |
| Impact | Multiple software demonstrators/tools have been delivered to Bruce Power to support the decision making associated with the operation of plant/assets on different power stations/units. This is helping Bruce Power operate their stations more effectively. |
| Title | Bruce Power Data Analytic Software Demonstrators (2022) |
| Description | In 2022, expanding on analytics previously developed/reported, the Fuel Machine Log Analysis (FMLA) analytic for Bruce Power has now been deployed on a cloud-based platform and this initiative has unlocked and accelerated further capability, including 3 new models for estimating remaining useful life of D2O filters. The FMLA was developed between Strathclyde and The Turing (using additional EPSRC Impact Acceleration Account funds). Additional analytics have been developed for Bruce Power; including using fuel machine trolley coasting distance, vault temperature and torque feedback to develop a metric for the health of the power track and drive train; the optimisation of the trolley maintenance and/or isolation time and linking this to clearance orders within Maximo; and, the development of cloud-based dashboards to visualise data for both the data analysts and the end-users in the field. A final suite of analytics have been developed focussing on detection of failed nuclear fuel. These algorithms have been deployed for evaluation on the desktop of the reactor physicist responsible for isolating instances of failed fuel in the reactor core. Another significant area of work has been translating algorithms initially developed for EDF's graphite reactor cores but now repurposed for a key inspection activity of Bruce Power's main component replacement (MCR) programme. |
| Type Of Technology | Software |
| Year Produced | 2022 |
| Impact | As cloud-based supporting architecture is now in place at Bruce Power, this has permitted further deployment and evaluation of analytics developed earlier in the Prosperity Partnership on electrical transformers. Multiple software tools have been delivered to Bruce Power to support the decision making associated with the operation of plant/assets on different power stations/units. This is helping Bruce Power operate their stations more effectively. |
| Title | Demonstrator software tools developed for advanced transformer diagnostics |
| Description | Software delivered to industrial partners, and currently being implemented for further testing by EDF and Bruce Power |
| Type Of Technology | Systems, Materials & Instrumental Engineering |
| Year Produced | 2019 |
| Impact | Improved transfer diagnostic methods developed, toolsets and software successfully produced, evaluated, demonstrated and validated on legacy transformer data. Industrial partners in process of implementing software toolsets for fleet transformer heath assessment |
| Title | In-process NDE Weld Inspection |
| Description | In-process NDE activities directly at the point of manufacture. |
| Type Of Technology | New/Improved Technique/Technology |
| Year Produced | 2021 |
| Impact | Reduced re-work, scheduled certainty and defect-free welds. |
| Title | Robotic Prototype of Deployed EMATs and SLAM Boundary Mapping Algorithm |
| Description | A prototype of the ElectroMagnetic Acoustic Transducers (EMATs) implemented on an appropraite robotic crawler |
| Type Of Technology | Systems, Materials & Instrumental Engineering |
| Year Produced | 2019 |
| Impact | The ability to automatically map the geometry of a structure under inspection while simultaneously identifying any significant areas requiring further inspection attention. |
| Title | Technical Demonstrators for Vibration Monitoring of Rotating Plant |
| Description | Project 11-2 has produced 6 software based technical demonstrators, which have been delivered to EDF Energy and demonstrate an option for the deployment of the underpinning research. These demonstrators cover a range of Data Analytic and Machine Learning techniques developed as part of the project. |
| Type Of Technology | Software |
| Year Produced | 2019 |
| Impact | When the software is deployed industrially it will lead to reductions in time-based maintenance strategies and the ability to better plan for future maintenance interventions. |
| Description | - Presentation to Kinectrics engineers and Senior managers: "Methods of Improved Power Transformer Diagnostics" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | A presentation and discussion was held with an industrial partners to describe the outputs from a research project and determine how the research could be adopted and implemented. The event was held virtually with approximately 30 people attending from both the UK and Canada. |
| Year(s) Of Engagement Activity | 2020 |
| Description | 45th Annual Review of Progress in Quantitative Nondestructive Evaluation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation at an international Conference entitled: Intentional weld defect process: from manufacturing by ??robotic welding machine to inspection ?using TFM phased ??array. |
| Year(s) Of Engagement Activity | 2018 |
| Description | BSI Standard Workshop |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Investigators on the Prosperity Partnership grant were invited to attend a workshop developing the British Standard Institute (BSI) Publicly Available Specification (PAS) guide for NDT of directed energy deposition (DED). |
| Year(s) Of Engagement Activity | 2019 |
| Description | Bruce Power Engineering All Hands Meeting |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Professor Stephen McArthur and Dr Graeme West presented the research within the Prosperity Partnership to the Bruce Power Engineering All Hands Meeting. This is the meeting of all engineering personnel who work for Bruce Power, and it was held at the Bruce Power plant, Kincardine, Ontario. The challenges being tackled through research, and how this will deliver impact into Bruce Power was covered by both speakers. |
| Year(s) Of Engagement Activity | 2018 |
| Description | EDF Workshop Sessions at EDF Barnwood |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | A set of workshops with EDF engineers and technology managers from specific areas (Waste & Decom, Graphite, Inspection/NDT, C&I and Electrical, Plant Engineering and Data and Civil & Environment). Discussions held on technical challenges they experience that are related to the research programme and the capability the programmme partnership has developed to address some of these issues. Scoping for potential future work was also conducted. This involved presenting experience from previous/on-going programme projects and trying to identify re-usable tools and technologies that could be re-applied to solve other problems. |
| Year(s) Of Engagement Activity | 2020 |
| Description | EPSRC online video to promote the Prosperity Partnership programme |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Online video describing the Prosperity Partnership video |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://epsrc.ukri.org/newsevents/multimedia/ppstrathclydebabcock/ |
| Description | Energiforsk UK Visit |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A delegation from Energiforsk toured the UK to investigate engaging with best practice research organisations. The Prosperity Partnership was demonstrated as an exemplar of collaborative academia-industry collaboration in research. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Glasgow Explorathon 2018 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Public/other audiences |
| Results and Impact | Kieran Tierney demonstrated at the Glasgow Explorathon 2017 (part of the European Researchers Night) with research scientists from other institutes to engage the public on isotope chemistry. Kieran's role was to discuss radioactivity and radionuclides such as radiocarbon via interactive games and posters which drew in many of the hundreds of attendees. |
| Year(s) Of Engagement Activity | 2017 |
| Description | Hosted the 2022 UK Nuclear Academics Meeting |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Study participants or study members |
| Results and Impact | The programme hosted the 2022 UK Nuclear Academics Meeting in August. This is an annual event where the UK's prominent nuclear academics discuss both the relevant state-of-the-art research and plan for the future year related activities. |
| Year(s) Of Engagement Activity | 2022 |
| Description | Image presented for use in Strathclyde 'Images of Research' competition 2020 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Postgraduate students |
| Results and Impact | This is an annual event held at The University of Strathclyde were photographic representation of research is used to convey the underlying principles. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Industry Technology Launch Event |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | In collaboration with Cavendish Nuclear Robotic NDE technology was showcased at a industry technology launch event (U-Battery). |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.u-battery.com/ |
| Description | Invited Speaker at Annual Goldschmit Conference |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A research fellow on the programme was invited to give a speech at a prestigious annual conference in the related field of research. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Keynote Presentation on "Digitilisation in Nuclear - Harnessing Data Science for Enhanced Through Life Management of Nuclear Plants" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Keynote presentation at the Energiforsk Annual Nuclear Conference 2018, Stockholm, Sweden. |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://www.energiforsk.se/program/omvarldsbevakning-karnkraft/nyheter/ny-karnkraftsteknik/digitaliza... |
| Description | National BINDT News Press Release |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The British Institute of Non-Destructive Testing (BINDT) created a press release to inform its international readership of the success in progressing fundamental research into a multimillion pound innovation project. This is being developed with both industry and academic partners. |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://www.bindt.org/News/November-2020/advanced-nuclear-research-centres-manufacturing-project-awe... |
| Description | Nuclear Regulator Visit (ONR) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | The Office for Nuclear Regulation (ONR) attended the University of Strathclyde to assess collaborative working practices. The Prosperity Partnership will demonstrated as an effective conduit for academic-industry research collaboration. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Presentation at 11th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT) 2019, American Nuclear Society (1) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A presentation entitled: Automatic Anomaly Detection in Fuel Grab Load Trace Data Using a Knowledge- Based System vs. Multiple Deep Autoencoders, was conducted at the 11th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT) 2019, American Nuclear Society. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Presentation at 11th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT) 2019, American Nuclear Society (2) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation entitled: Experience, Testing and Future Development of an Ultrasonic Inspection Analysis Defect Decision Support Tool for CANDU Reactors, at the 11th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT) 2019, American Nuclear Society. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Presentation at 11th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT) 2019, American Nuclear Society (3) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation entitled: Towards a Data Analytics Framework for Medium Voltage Power Cable Lifetime Management, at the 11th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT) 2019, American Nuclear Society |
| Year(s) Of Engagement Activity | 2019 |
| Description | Presentation at British Institute of Non-destructive Testing Annual Conference |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A presentation entitled: Ultrasonic phased array inspection of wire plus arc additive manufacture ??(WAAM) samples using conventional and total focusing method (TFM) ?imaging approaches, was conducted at the British Institute of Non-destructive Testing Annual Conference: NDT 2018 |
| Year(s) Of Engagement Activity | 2018 |
| Description | Profile Article in The Manufacturer Magazine/Website |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Publicity article in Magazine/Website |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://www.themanufacturer.com/articles/4-2m-consortium-make-nuclear-power-safer-reliable/ |
| Description | RSC Symposium Glasgow |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Other audiences |
| Results and Impact | Kieran Tierney provided an overview of the project at the RSC's Scottish Analytical Division symposium on Analytical and Environmental Chemistry at the University of Glasgow which resulted in a general discussion with several interested attendees. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Research Representation in National Newsletter |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A conference paper was (re-)published in a monthly national technology newsletter. This newsletter is circulated to 1000s of related subject matter experts both in the UK and internationally. This provided wide coverage of the research and the related programme. |
| Year(s) Of Engagement Activity | 2021 |
| Description | Research Showcase Event - Advanced Nuclear Research Centre Annual Showcase |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Research being conducted as part of the Prosperity Partnership was showcased at a University hosted event on the 30th August 2018. This event was attended by approximately 150 delegates from a range of organisations including the academic and industrial partners named on the grant, but also additional researchers, academics, industrialists and government agencies interested in the on-going research. The aim of the event was to update all stakeholders on programme progress and also increase the visibility of research associated with the grant to a wider audience. The event was also taken as an opportunity to hold governance meetings associated with the programme in question. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Talk ABB Corporate Research - Data Analytics for Appropriately Monitored Power System Assests |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Dr Bruce Stephen, Senior Research Fellow on Prosperity Partnership grant was invited to give a talk in association with ETH Zurich on research related to the Prosperity Partnership grant. This talk has given during a visit to ABB Corporate Research, Baden, Switzerland. Expected output and impact form the talk and subsequent discussions is international project collaboration, both academic and industrial, with ABB, ETH and a UK DNO partner. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Talk at Automation Showcase Event |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Charles MacLeod was invited to give a presentation during the HIE Automation Showcase Event to detail advances in the automation of NDT techniques. The event was well attended by a number of industries, the presentation was well received, and highlighted the contribution to the field that Strathclyde University is making through support from the Prosperity Partnership and the EPSRC. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Talk at ETH Zurich - Power System Asset Management: Practical Considerations for Data Analytics |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Bruce Stephen, Senior Research Fellow on Prosperity Partnership grant was invited to give a talk at ETH Zurich on the related research of the grant. Expected output and impact form the talk and subsequent discussions is international project collaboration with ETH Zurich. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Workshop for Cavendish Nuclear/Babcock engineers on "Power Transformer Diagnostics" and "Cable Diagnostics" |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | A workshop was held with related technical subject matter experts from Babcock International Group and Cavendish Nuclear to discuss and investigate appropriate means of translating relevant aspects of the research into their organisations. The event was attended by approximately 20 engineers and technology managers from various locations around the UK. |
| Year(s) Of Engagement Activity | 2020 |
| Description | World First Technology Demonstration Event |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Upon successful completion of the underpinning research activities, a world-first demonstration of the integrated hardware-software technology system solution was provide for the collaborating industry partners at the University of Strathclyde. |
| Year(s) Of Engagement Activity | 2021 |