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Reference Number EP/K007386/1
Title Wind Turbine Gust Prediction
Status Completed
Energy Categories RENEWABLE ENERGY SOURCES(Wind Energy) 100%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Physics) 50%;
ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 25%;
ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 25%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Dr BL Jones
No email address given
Automatic Control and Systems Engineering
University of Sheffield
Award Type Standard
Funding Source EPSRC
Start Date 01 March 2013
End Date 30 April 2014
Duration 14 months
Total Grant Value £98,611
Industrial Sectors Energy
Region Yorkshire & Humberside
Programme Energy : Engineering
 
Investigators Principal Investigator Dr BL Jones , Automatic Control and Systems Engineering, University of Sheffield (100.000%)
  Industrial Collaborator Project Contact , Vestas Wind Systems A/S, Denmark (0.000%)
Web Site
Objectives
Abstract Offshore wind power generation is a key component of the UK's commitment to deliver 15% of gross final energy consumption from renewable sources by 2020. Efforts to meet this target are prompting the design of ever larger turbines in order to capture more energy from the wind. However, as these structures grow taller, they become increasingly vulnerable to violent gusts of wind and other turbulent flow phenomena that are the primary cause of severe turbine damage. Advance warning of such gusts will enable turbine control systems to take preventative action, and so the ability to predict the strength of an oncoming gust is widely regarded within the wind energy industry as being a problem of critical importance. This research project will seek to overcome this problem by demonstrating a system that can accurately forecast the velocity profile of an oncoming wind, given only limited spatial measurements from state-of-the-art light detection and ranging (LIDAR) units. This approach will exploit recent interdisciplinary advances in the application of optimal estimation techniques, from the control systems community, to fluid-mechanical systems governed by the Navier-Stokes equations. The research will draw upon the PI's existing expertise in dynamical estimation of fluid flows and the project results will feed into the host institute's current industrial collaboration with Vestas Wind Systems, who have agreed to provide the data and technical support required to maximise research impact
Publications (none)
Final Report (none)
Added to Database 26/09/13