OAS’s TurbineGRID simulation software enables wind farm owner/operators to better predict how turbines respond to atmospheric turbulence, stability and wake interaction at both individual and farm level. The project, Simulation to enable Asset Life Extension of wind turbines (SALE), funded by Innovate UK, will use production and load sensor data from the Levenmouth Demonstration Turbine, combined with wind conditions measured through a met mast and Lidar located at the site. These will then be compared with the numerical model of the wind conditions and turbine response of the TurbineGRID software to validate the tool.
The Levenmouth turbine load data will come from sensor instrumentation that is to be installed on the turbine’s blades, tower and substructure to monitor its behaviour in real-world conditions.
“We have developed an effective method to characterise the effects of turbulence and this is used in our ‘TurbineGRID’ simulation tool to model site-specific turbine and array performance” said Nicola Pearson, OAS Commercial Director. “Wake breakdown and interaction are modelled and these innovations enable a more accurate prediction of blade loading and lifetimes. These tools will enable new control strategies to manage turbine interaction, yield and fatigue loading effects.”
Andy Kay, ORE Catapult’s Innovation Manager, added that the Levenmouth Demonstration Turbine is the world’s most advanced, open access, offshore wind turbine dedicated to research which will enable the company to support companies in developing and validating new technologies. Deploying sensors on the turbine allows a unique opportunity to understand the behaviour of a large turbine in real-world conditions and the impact of these conditions on turbine production and loads.
As part of this project, there is also an opportunity for other turbine owner/operators to share array production data in return for the confidential reporting of turbulence characteristics and turbine response using the TurbineGRID software.
Improved turbine control, adopted farm-wide, could see as much as a 2.4 percent reduction in the Levelised Cost of Energy (LCOE) of offshore wind according to ORE Catapult’s Cost Reduction Monitoring Framework Qualitative Summary Report 2015.
For additional information:
