Research and development

As a centre of technical excellence, EDF research and development is helping Britain achieve net zero.

Research, development and innovation are at the heart of EDF

  

Our vision is: “Accelerating the transition to a sustainable, low carbon society through the development and testing of new technologies and business models.”

EDF R&D UK is advancing research in the fields of Nuclear (Modelling and Simulation; Natural Hazards and Environment; Waste and Decommissioning), Off Shore Wind, Energy Systems, Flexibility & Storage, Zero Emissions Mobility, Integrated Energy Hubs & Low Carbon Hydrogen and Smart Digital Technologies (Artificial Intelligence and Applied Data Science).

By coupling the advances in science and engineering with the emergence of new digital innovations EDF R&D UK is providing groundbreaking solutions to policymakers, partners and customers in order to realise our vision.

The latest R&D projects at EDF

   

R&D UK Centre wins exciting Hydrogen competition bid

We are proud to announce that the R&D UK Centre have successfully won a Zero Emission Road Transport competition bid thanks to support from Midlands Engine, the Energy Research Accelerator and Cenex.

The funding competition is run by Innovate UK on behalf of the Department of Transport and will invest up to £10 million into Hydrogen truck innovation projects across the UK.

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Meet the EDF R&D team in the UK

  

R&D UK Centre locations

Based across 4 locations

Collaborations, academic partners and research

  

Celebrating early careers development in the R&D UK Centre!

Did you know that nearly a quarter of employees within the R&D UK Centre have come through the early careers pipelines and development schemes?

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Successful first of its kind virtual PhD day at the R&D UK Centre!

A very successful event with over 100 attendees during the day across EDF BUs as well as colleagues from EDF R&D in France, 20 PhD presentations from various universities such as Manchester, Bristol, Imperial and Strathclyde and representing all the different groups we have at the UK Centre. We are looking forward to organising a similar event in 2022 !

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Our research publications

The Research staff in our teams Smart Customers, Renewables, Nuclear and Digital Innovation, have had numerous academic papers published on a variety of interesting technical topics.

 

Renewables

2019, E. Borras Mora, J. Spelling, Adriaan H. van der Weijde, E. Pavageau, "The effects of mean wind speed uncertainty on project finance debt sizing for offshore wind farms", Journal of Applied Energy


2019, J. Paterson “Offshore wind installation vessels – A comparative assessment for UK offshore rounds 1 and 2” 


2017, F. D'Amico, R. Mogre, S. Clarke, A. Lindgreen, M. Hingley, "How purchasing and supply management practices affect key success factors: the case of the offshore-wind supply chain", Journal of Business & Industrial Marketing


2017, A. Pérez-Ortiz, A G.L Borthwich, J. McNaughton, H C.M Smith, Q. Xiao, "Resource characterization of sites in the vicinity of an island near a landmass, Renewable Energy", Renewable Energy


2016, R. Mogre, S. Talluri, F. D'Amico, "A decision Framework to Mitigate Supply Chain Risks: An Application in the Offshore-Wind Industry", IEEE Transactions on Engineering Management


2013, I. Afgan, J. McNaughton, S. Rolfo, D.D. Apsley, T. Stallard, P. Stansby, "Turbulent flow and loading on a tidal stream turbine by LES and RANS", International Journal of Heat and Fluid Flow


2013, J. McNaughton, I. Afgan, D.D. Apsley, S. Rolfo, T. Stallard, P.K Stansby, "A simple sliding-mesh interface procedure and its application to the CFD simulation of a tidal-stream turbine", International Journal for Numerical methods in fluids


2013, J. McNaughton, F. Billard, A. Revell, "Turbulence modelling of low Reynolds number flow effects around a vertical axis turbine at a range of tip-speed ratios", Journal of Fluids and Structures


 

 

 

Nuclear

2021, B. Mcilwaine, M. Rivas Casado, "JellyNet: The convolutional neural network jellyfish bloom detector"


2020, I. Nistor, "Nuclear Digital Twins at EDF"


2020, A. Tilloy, B. Malamud, H.C. Winter, A. Joly-Laugel, "Evaluating the efficacy of bivariate extreme modelling approaches for multi-hazard scenarios" 


2019, B. Mcilwaine, M. Rivas Casado, P. Leinster, “Using 1st Derivative Reflectance Signatures within a Remote Sensing Framework to Identify Macroalgae in Marine Environments”, Remote Sensing


2019, A. Tilloy, B. Malamud, H.C. Winter, A. Joly-Laugel, “A review of quantification methodologies for multi-hazard interrelationships”, Earth-Science Reviews


2019, H.C. Winter, K. Brown, “How do we know how fast the wind may blow?”, Significance


2018, D. Cross, C. Onof, H.C. Winter, P. Bernardara, "Censored rainfall modelling of estimation of fine-scale extremes", Hydrol. Earth Systm. Sci, 22: 727-756


2018, P. Sharkey, H.C. Winter, “A Bayesian spatial hierarchical model for extreme precipitation in Great Britain”, Environmetrics


2017, T. Crump, G. Ferte, P. Mummery, A. Jivkov, P. Martinuzzi, V-X. Tran, "Dynamic fracture effects on remote stress amplification in AGR graphite bricks", Nuclear Engineering and Design


2017, T. Crump, G. Ferte, P. Mummery, A. Jivkov, V-X. Tran, "Dynamic fracture analysis by explicit solid dynamics and implicit crack propagation", International Journal of Solids and Structures


2017,P. Sharkey, J.A. Tawn, "A Poisson process reparameterisation for Bayesian inference for extremes", Extremes, 20(2):239-263


2017, H.C. Winter, "Making sense of multiple extreme weather events", Significance, 14: 6-7


2016, T. Crump, G. Ferte, A. Jivkov, P. Mummery, P. Martinuzzi, V-X. Tran, "3D Dynamic Crack Propagation within AGR Graphite Bricks"


2016, T. Crump, P. Mummery, A. Jivkov, V-X. Tran, "A meso-scale approach to modelling stable dynamic crack propagation in glass under rate-dependent loading", Procedia Structural Integrity


2016, H.C. Winter, S.J Brown, J.A. Tawn, ""Detecting changing behaviour of heatwaves with climate change", Dynamics and Statistics of the Climate System


2016, H.C. Winter, J. Tawn, S.J. Brown, "Modelling the effect of the El Niño-Southern Oscillation on extreme spatial temperature events over Australia", The Annals of Applied Statistics


2016, H.C. Winter, J.A Tawn, "kth-order Markov models for assessing heatwave risks", Extremes: Statistical Theory and Applications in Science, Engineering and Economics


2015, H.C. Winter, J.A. Tawn, "Modelling heatwaves in central France: a case study in extremal dependence", Journal of the Royal Statistical Society


 

 

 

 

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