Projects outcomes

Quantification of turbid wakes in offshore wind farms using satellite remote sensing

Enora Lecordier et al; Science of The Total Environment, March 2025

The Influence of Structural Design on the Hydrodynamics of Floating Offshore Wind Turbine Platforms

Nilotpal Dhar, Charlie J. Lloyd, John Walker, Robert M. Dorrell; Journal of Marine Science and Engineering, January 2025

Regularising NARX models with multi-task learning

Sarah Bee, Lawrence Bull, Nikolaos Dervilis, Keith Worden; Arxiv Preprint, January 2025

Using Large Language Models to Recommend Repair Actions for Offshore Wind Maintenance

Connor Walker, Callum Rothon, Koorosh Aslansefat, Yiannis Papadopoulos, Nina Dethlefs; Journal of Physics: Conference Series, EERA DeepWind Conference 2024

SafeLLM: Domain-Specific Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance  

Connor Walker, Callum Rothon, Koorosh Aslansefat, Yiannis Papadopoulos, Nina Dethlefs; In the Proceedings of the 32nd Safety-Critical Systems Symposium (SSS2024), October 2024

Designing and optimising a novel biomimetic fibre-hybrid 3d woven composite

Anna Weatherburn et al; TexComp 15 conference abstract, September 2024

Minimising the Impact of Contingency in Multiple-Period Short Term Operational Planning with RAS-FUBM For Wind Integration

Siti Khadijah Hamzah, Kazemtabrizi, B., & Shahbazi, M.; Presented at PEMD 2024: Power Electronics, Machines and Drives 13th International Conference, Nottingham, UK, June 2024

Data-Driven Infrastructure Planning for Offshore Wind Farms

Isha Saxena, Behzad Kazemtabrizi, Matthias C.M. Troffaes, Christopher J. Crabtree; Journal of Physics: Conference Series, The Science of Making Torque from Wind (TORQUE 2024), June 2024

Redefining Digital Twins – A Wind Energy Operations and Maintenance Perspective

Eamonn Tuton, Xinhui Ma, Nina Dethlefs; Journal of Physics: Conference Series, May 2024

Modelling Fracture Behaviour in Fibre-Hybrid 3D Woven Composites

Anna Weatherburn , Anne Reinarz, Stefano Giani, Stefan Szyniszewski; 2024 UK Association for Computational Mechanics Conference, April 2024

Inspired by Nature: A new material for wind turbine blades

Anna Weatherburn; STEM for Britain academic poster, March 2024

Driving the hydrogen economy: Electrochemical hydrogen compression  

Nicholas Wilson, Jay Wadhawan, Nathan Lawrence, Ben Dove; STEM for Britain academic poster, March 2024

Climate change might result in increased offshore wind farm accessibility

Victoria Bessonova et al, Extended abstract, PAMEC 2024, Barranquilla, Colombia, Feb 2024

Multitask feature selection within structural datasets 

Sarah Bee, Jack Poole, Keith Worden, Nikolaos Dervilis, Lawrence Bull, Data-Centric Engineering, Cambridge University Press, January 2024

Intelligent digital twin – machine learning system for real-time wind turbine wind speed and power generation forecasting

Eamonn Tuton, Xinhui Ma, Nina Dethlefs; E3S Web Conference, The 6th International Conference on Renewable Energy and Environment Engineering (REEE 2023), October 2023

Using a novel mylar film technique to measure the efficacy of scour mitigation methods for offshore wind turbines 

Maisy Bradbury, Stuart J. McLelland, Robert Dorell, Kerry V. Marten, Richard J. S. Whitehouse; 11th International Conference on Scour and Erosion (ICSE-11), September 2023

Detection, Localisation and Quantification of Bolt Looseness in an Aluminium Plate Using Lamb Wave Analysis

Adam Brassington et al, Conference Paper: Structural Health Monitoring 2023, September 2023

Optimum operational planning of wind-integrated power systems with embedded Multi-terminal High Voltage Direct Current Links using the Flexible Universal Branch Model

Siti Khadijah Hamzah, Behzad Kazemtabrizi; Conference Paper EEEIC2023: 23rd International Conference on Environment and Electrical Engineering, August 2023

Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection

Harry Burton, Jean-Sebastien Bouillard, Neil Kemp; IEEE International symposium on circuits and systems (ISCAS), July 2023,

Better Together: Using Multi-Task Learning to Improve Feature Selection Within Structural Datasets

Sarah Bee et al, Book Chapter, Society for Experimental Mechanics Annual Conference and Exposition, June 2023

A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short-Term Memory Algorithms 

Connor Walker, Callum Rothon, K Aslansefat, Yiannis Papadopoulos, Nina Dethlefs, conference paper at the 8th International Symposium on Model-Based Safety Assessment (IMBSA2022), July 2022