Optimized design based on maximum output power from wave energy

A wave energy output device is a renewable energy technology that harnesses the vertical and horizontal motion of ocean waves to convert marine kinetic energy into mechanical or electrical power , offering significant development potential. This paper models the vertical and longitudinal motion of a wave energy device’s float and oscillator using Newton’s second law and solves the derived differential equations with an improved Lungkuta algorithm, obtaining displacement and velocity data over 40 cycles . Based on the motion model, it derives the damper’s output power per cycle and builds a single-objective optimization model to maximize average output power. Using a small curved-edge trapezoidal approximation and a variable-step search, the optimal damping coefficient is found. With constant damping, the maximum average output power is 229.6819 W at a damping coefficient of 37,639; when the damping varies with velocity, the maximum average output power reaches 230.0163 W with an optimal coefficient of 81,478 and a power coefficient of 0.3377.

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Publication Details

Journal
Highlights in Science Engineering and Technology
Published
2025-09-08
DOI
https://doi.org/10.54097/0xeb6a78
Primary Topic
Wave and Wind Energy Systems
Type
article
Field-Weighted Citation Impact
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article

Optimized design based on maximum output power from wave energy

Yifei Zheng
Highlights in Science Engineering and Technology
Wave and Wind Energy Systems
article

Optimized design based on maximum output power from wave energy

Yifei Zheng
article en

Abstract

A wave energy output device is a renewable energy technology that harnesses the vertical and horizontal motion of ocean waves to convert marine kinetic energy into mechanical or electrical power , offering significant development potential. This paper models the vertical and longitudinal motion of a wave energy device’s float and oscillator using Newton’s second law and solves the derived differential equations with an improved Lungkuta algorithm, obtaining displacement and velocity data over 40 cycles . Based on the motion model, it derives the damper’s output power per cycle and builds a single-objective optimization model to maximize average output power. Using a small curved-edge trapezoidal approximation and a variable-step search, the optimal damping coefficient is found. With constant damping, the maximum average output power is 229.6819 W at a damping coefficient of 37,639; when the damping varies with velocity, the maximum average output power reaches 230.0163 W with an optimal coefficient of 81,478 and a power coefficient of 0.3377.

Highlights in Science Engineering and TechnologyVol. 151
Qingdao University of Science and Technology (CN)
Openalex Percentile: Top 64%
Wave and Wind Energy Systems
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