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F2A is an aero-hydro-servo-elastic tool developed based on AQWA by Yang Yang, a postdoctoral research associate in Liverpool John Moores University for performing fully coupled analysis of floating offshore wind turbines (FOWT). The aero-servo-elastic simulation capabilities are fully implemented within the user_force64.dll which is a built-in DLL of AQWA for external force calculation. For a coupled analysis of a floating offshore wind turbine subjected to wind, wave and current loadings, the aerodynamic loads acting on the rotor, the elastic responses of the blades and tower, and the servo-control are examined through the DLL, considering the influence from the platform motions. The platform position, velocity and acceleration at each degree of freedom are passed into the DLL to update the kinematics of the upper structures. Before being passed into DLL, these terms are transformed from the inertial coordinate system to the local coordinate system of the platform.
Numerical Wave Tank based on High-Order Spectral method
OpenFOAM vertical axis wind turbine case.
k-Epsilon Turbulence Model modified with injection of k and epsilon at actuator disk to match recovery of a real wind turbine
Design optimization of floating offshore wind turbine with surrogate models
Simulation files for the simulation of the location FINO1 of the bachelor thesis: Extreme loads on an offshore wind turbine: environmental conditions and mechanical simulation
This is a MATLAB code to simulate an offshore wind turbine that I developed during my master thesis
SOWFA - OpenFAST installation notes
University of Tokyo and WavEC-Offshore Renewables open-source experimental and numerical work on Floating Offshore Wind Turbine
Active-flow-control (AFC) environments developed using the Gym-preCICE adapter.
VAWT+GE
Aerodynamics of multiple vertical axis wind turbines using a modified Actuator Cylinder approach
Parameterized VAWT wake model using CFD wake data
A tool to estimate the aerodynamics and motion of an offshore vertical axis wind turbine
Automatically generate grids for 2D VAWTs.
Applied Energy - Wind Farm Layout Optimization using Self-Informed Genetic Algorithm with Information Guided Exploitation
Energy Conversion and Management - Wind farm layout optimization based on support vector regression guided genetic algorithm with consideration of participation among landowners
WindFarm Layout Optimization (WFLO) problem
Wind farm layout optimization, Wind turbine, Adaptive genetic algorithm, Neural networks surrogate model, Monte-Carlo simulation
R Package to Optimize Windfarm Layouts
Using SNOPT, optimize the placement of wind turbines
APIs for the Wind Farm Layout Optimization competition
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.