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

   

Smart meter

Exciting new approach to measuring energy efficiencies of homes

Space heating represents the majority (60%) of the total domestic energy consumption in the UK, most of which is supplied by fossil fuels. Improving the thermal efficiency of houses is therefore crucial to reducing both energy bills and carbon emissions. The current best practice to measure the energy performance is a co-heating test which is obtrusive and costly, and requires the home to be unoccupied for around two weeks. The R&D UK Centre has been working with the University of Oxford; to design a completely non-intrusive measurement alternative approach that is based on the ‘Deconstruct’ model. 

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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

  

The BOSS Project

EDF R&D UK collaborates with numerous Public Organisations. For example, the BOSS project is an Innovate UK technology innovation project led by us, in partnership with York City Council and two Small and Medium Enterprises Route Monkey and Connected Energy, a subsidiary of Future Transport Systems. The project explores a system that enables site-based optimisation of energy usage and exploitation of off-peak energy tariffs.

EDF R&D UK has numerous Academic Institution partners including Imperial College London, the University of Manchester, the University of Bristol, University College London and the University of Strathclyde. Each year we hold a Postgraduate Researcher Event (PRE) in collaboration with these institutions.

With Industry partners ​such as, National Nuclear Laboratory, Hitachi, Met Office, Rolls-Royce, Energy Technologies Institute and Big Innovation Centre, we strive to create innovative and reliable partnerships that deliver value and facilitate collaboration.

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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