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Research

The major impact of the EPSRC SUPERGEN Wind programme has been to re-establish a world leading UK academic community in Wind Energy research. Our defined research programme, which includes 6 member institutions, has over £1.5M in funding. Our research deliverables below highlight our measureable outputs.

Our Flexible Funding scheme has over £1.2M available for eligible projects to bring additionality to our research activities. 

In June 2015, 4 Grand Challenges related to SUPERGEN Wind were awarded, totalling over £3.2M of funding.

Research projects in wind energy

SUPERGEN Wind strongly recognises that its research agenda must align strongly with industry priorities.  The UKERC Energy Data Centre provides interesting information on current research projects in the area of Wind Energy.  Further details here.

Please let us know of any interesting research you are undertaking by contacting us.

Our research deliverables

Deliverable Title Due Responsible
D1.1 Assimilated dataset of offshore meteorological conditions at present and future offshore wind farm sites Jun 2015 Loughborough University (Professor Simon Watson)
D1.2 Matrix of array loss predictions for a range of projected offshore wind farm array layouts Jun 2015 Loughborough University (Professor Simon Watson)
D1.3 Report detailing the impact of large offshore arrays on each other in terms of wind shadowing effects Jun 2017 Loughborough University (Professor Simon Watson)
D1.4 Report detailing the impact of large offshore arrays on radar safety systems of oil and gas platforms Mar 2015 Manchester University
(Dr Laith Danoon)
D2.1.1 High-fidelity, open access Simulink model of wind farm and connection Jan 2015 Manchester University (Professor Mike Barnes)
D2.1.2 Report on dynamics Mar 2015 Manchester University (Professor Mike Barnes)
D2.2 Report on connection scenarios for offshore wind farm clusters grid code compliance evaluation Mar 2017 University of Strathclyde
(Dr Olimpo Anaya-Lara)
D2.3.1 Report on estimates of the aggregate and sectoral system-wide impacts on output and employment Jun 2017 University of Strathclyde (Professor Peter McGregor)
D2.3.2 Model-based estimates of the impact on carbon emissions Jun 2017 University of Strathclyde (Professor Peter McGregor)
D3.1 Report on control modelling of wind farm Jun 2015 University of Strathclyde (Professor William Leithead)
D3.2 Report on wind farm control algorithms to meet power systems requirements May 2019 University of Strathclyde (Professor William Leithead)
D3.3 Report on wind farm control algorithms to meet asset management requirements Mar 2019 University of Strathclyde (Professor William Leithead)
D4.1 Report on new approaches to condition monitoring to reduce cost of energy from wind farms in far-offshore locations Mar 2019 Durham University
(Professor Simon Hogg)
D4.2 A proposed standard for the reporting of operational performance and reliability data from wind farms Jun 2017 Durham University
(Professor Simon Hogg)
D4.3 Roadmap of UK based test facilities for wind technologies Mar 2018 Durham University
(Professor Simon Hogg)
D4.4 Report on algorithms for wind turbine fault detection, with particular emphasis on fleet level damage model predictions Sep 2016 Loughborough University (Professor Simon Watson)
D4.6 Software defined toolbox containing fault models developed in Supergen Wind Phases 1 and 2 in a holistic drive train monitoring system for wind turbines Jan 2019 Manchester University (Professor Sandy Smith)
D5.1.1 Report on Stress concentration estimation method for innovative blade design May 2017 STFC (Dr Jim Halliday)
D5.1.2 Report on assessment of Stress concentration method for innovative blade design May 2017 STFC (Dr Jim Halliday)
D5.2.1 Report on design of 3D structural woven T-joints, concepts that can be explored for large WT blades Dec 2017 Manchester University (Professor Constantinos Soutis)
D5.2.2 Report on use of optical fibres for damage monitoring in woven composite laminates Dec 2017 Manchester University (Professor Constantinos Soutis)
D6.1 Report on risk-based structural design methods Jun 2017 Cranfield University
(Professor Feargal Brennan)
D6.2 Report on structural damage modelling Mar 2019 Cranfield University
(Professor Feargal Brennan)