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allenfieldin's Projects

f2a icon f2a

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.

hos-nwt icon hos-nwt

Numerical Wave Tank based on High-Order Spectral method

rans_offshorewindturbines icon rans_offshorewindturbines

k-Epsilon Turbulence Model modified with injection of k and epsilon at actuator disk to match recovery of a real wind turbine

simulation_fino1_ba_extreme_loads icon simulation_fino1_ba_extreme_loads

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

tokyo-wavec-fowt icon tokyo-wavec-fowt

University of Tokyo and WavEC-Offshore Renewables open-source experimental and numerical work on Floating Offshore Wind Turbine

tutorials icon tutorials

Active-flow-control (AFC) environments developed using the Gym-preCICE adapter.

vawt-ac icon vawt-ac

Aerodynamics of multiple vertical axis wind turbines using a modified Actuator Cylinder approach

vawtanalysis icon vawtanalysis

A tool to estimate the aerodynamics and motion of an offshore vertical axis wind turbine

vawtmesh icon vawtmesh

Automatically generate grids for 2D VAWTs.

wflop_python icon wflop_python

Applied Energy - Wind Farm Layout Optimization using Self-Informed Genetic Algorithm with Information Guided Exploitation

wflop_sugga_python icon wflop_sugga_python

Energy Conversion and Management - Wind farm layout optimization based on support vector regression guided genetic algorithm with consideration of participation among landowners

windfarmbcir icon windfarmbcir

Wind farm layout optimization, Wind turbine, Adaptive genetic algorithm, Neural networks surrogate model, Monte-Carlo simulation

windflo icon windflo

APIs for the Wind Farm Layout Optimization competition

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