Flow Control in Wells Turbines for Harnessing Maximum Wave Power

Area of Science:

• Renewable Energy Systems
• Ocean Engineering
• Control Systems

Background:

• Ocean waves represent a vast, untapped renewable energy source.
• Current wave energy converters (WECs) suffer from suboptimal efficiency.
• Advanced control techniques are crucial for improving WEC performance.

Purpose of the Study:

• To optimize the rotational speed control loop of a wave energy converter for maximum power output.
• To implement and validate a novel sensor-based flow controller integrated with Maximum Power Point Tracking (MPPT).
• To assess the efficiency gains compared to an uncontrolled system.

Main Methods:

• Development of a comprehensive wave-to-wire model for simulation.
• Implementation of a sensor-based flow controller utilizing pressure sensor data.
• Application of Maximum Power Point Tracking (MPPT) using external sensors.
• Comparative analysis against an uncontrolled plant simulation.

Main Results:

• The proposed sensor-based flow control strategy effectively utilizes MPPT.
• Simulations show a significant increase in output power compared to the uncontrolled case.
• The controller demonstrates viability and effectiveness in optimizing energy harvesting.

Conclusions:

• Sensor-based control, particularly MPPT integrated with flow control, substantially improves wave energy converter efficiency.
• The developed control strategy offers a promising approach for maximizing power generation from ocean waves.
• This research validates the potential of advanced control systems in unlocking the full potential of wave energy.