This study introduces a transformative approach to Wave Energy Conversion (WEC) through Biomimetic Phase-Shifting Membranes (BPSM), a bioinspired technology that significantly enhances marine energy extraction. Unlike conventional Oscillating Water Columns (OWCs) and Piezoelectric Ocean Harvesting (POH) systems, the BPSM employs adaptive materials—Shape Memory Alloys (SMAs) and Dielectric Elastomers (DEs)—to dynamically modulate stiffness (0.1–10 GPa range) in response to wave conditions. This innovation, combined with a hybrid hydraulic-piezoelectric Power Take-Off (PTO) system, achieves 28% energy conversion efficiency (33% higher than OWCs) while maintaining ±15% output stability during wave troughs, a critical improvement over the >40% fluctuations typically seen in rigid WECs. The BPSM’s AI-driven control system, which integrates Reinforcement Learning (RL) and Model Predictive Control (MPC), enables real-time optimization for varying sea states, resulting in 93% storm survival rates and 65% power retention in adverse conditions. Experimental validation via 1:5 scale prototypes (UC Berkeley wave tank) and COMSOL FSI simulations confirms scalability, with projected Levelized Cost of Energy (LCOE) of $90/MWh—60% lower in operational costs than existing technologies. As a zero-emission hydropower solution, the BPSM’s self-healing, corrosion-resistant design aligns with global sustainable ocean tech objectives, offering a commercially viable pathway for reliable marine renewable energy.

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Maximizing Wave Energy Efficiency Using Biomimetic Phase-Shifting Membranes: Toward Technological and Economic Competitiveness

  • Adem Melouka,
  • Mohcene Benlahbib,
  • Salim Djabou,
  • Asma Yousef

摘要

This study introduces a transformative approach to Wave Energy Conversion (WEC) through Biomimetic Phase-Shifting Membranes (BPSM), a bioinspired technology that significantly enhances marine energy extraction. Unlike conventional Oscillating Water Columns (OWCs) and Piezoelectric Ocean Harvesting (POH) systems, the BPSM employs adaptive materials—Shape Memory Alloys (SMAs) and Dielectric Elastomers (DEs)—to dynamically modulate stiffness (0.1–10 GPa range) in response to wave conditions. This innovation, combined with a hybrid hydraulic-piezoelectric Power Take-Off (PTO) system, achieves 28% energy conversion efficiency (33% higher than OWCs) while maintaining ±15% output stability during wave troughs, a critical improvement over the >40% fluctuations typically seen in rigid WECs. The BPSM’s AI-driven control system, which integrates Reinforcement Learning (RL) and Model Predictive Control (MPC), enables real-time optimization for varying sea states, resulting in 93% storm survival rates and 65% power retention in adverse conditions. Experimental validation via 1:5 scale prototypes (UC Berkeley wave tank) and COMSOL FSI simulations confirms scalability, with projected Levelized Cost of Energy (LCOE) of $90/MWh—60% lower in operational costs than existing technologies. As a zero-emission hydropower solution, the BPSM’s self-healing, corrosion-resistant design aligns with global sustainable ocean tech objectives, offering a commercially viable pathway for reliable marine renewable energy.