Optimise Machine Performance TRIZ Cases

Ballast system adjusts platform inclination to maximize rotor projected area and increase power production at lower wind speeds.

A wind farm noise control method selects specific turbines using propagation models to reduce sound levels while maximizing power production.

Adjusting the floating body's center of gravity relative to buoyancy enables resonance with wave periods, improving efficiency while reducing damage risk.

A wind turbine control system increases rotor speed beyond rated limits during curtailment to store kinetic energy in the drive train.

Estimate wind shear from blade bending moments to set optimal pitch angles.

Ground-based LiDAR determines wind sensor misalignment to correct yaw control signals, eliminating costly and risky in-situ calibration measurements.

A wind turbine controller adjusts rotor speed based on real-time meteorological and mechanical load data to increase power output.

A retrofit processing unit generates virtual relative wind direction signals to control nacelle yaw position.

A rotatable drag panel on a displacement vessel captures tidal kinetic energy through adjustable drag force to drive an electrical generator.

A wind turbine rotor design method calculates blade center of mass to optimize pitch moment.

A floating offshore wind turbine pivots its tower horizontally using a rotary motor and gear transmission.

Machine learning corrects wake models using noisy SCADA data, reducing energy loss from turbine wake interference.

A wind power generating device integrates a self-adjusting braking mechanism to control rotor speed and prevent overheating during high wind speeds.

A wind farm control method adjusts turbine yaw angles to balance energy production with structural load management.

Variable speed wind turbine rotor accumulates kinetic energy above optimal operating points to feed additional active power into the electrical grid.

A wind turbine control method estimates incident wind speed using rotor dynamics and generator torque data to optimize energy production.

A wind turbine controller adjusts yaw angles using trendline analysis of performance differentials.

A wind turbine control method adjusts the operating power coefficient using a scaled value and perturbation signal for partial load operation.

Movable walls adjust upstream water speed and height to maintain constant turbine flow velocity.

Centralized plant control applies dynamic derating factors to maintain power generation and reduce component stress during high wind conditions.

A sliding mode extremum seeking control method adjusts rotating speed to capture maximum wind energy from variable wind conditions.

Machine learning surrogate models replace expensive CFD simulations to predict wake effects and reduce mechanical loads on downstream turbines.