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Home / Journals / ENERGY / Online First / doi:10.32604/ee.2026.083511
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REVIEW

AI-Driven Optimization and Microfluidic Investigation of Triboelectric Nanogenerators for Sustainable Ocean Energy

Kefan Yang1, Keqi Yang2, Yixuan Zeng1, Yi Zhang1, Shengqing Zeng1, Dapeng Zhang1,3,*
1 Ship and Maritime College, Guangdong Ocean University, Zhanjiang, China
2 School of Electronics and Information Engineering, Guangdong Ocean University, Zhanjiang, China
3 Guangdong Provincial Key Laboratory of Intelligent Equipment for South China Sea Marine Ranching, Guangdong Ocean University, Zhanjiang, China
* Corresponding Author: Dapeng Zhang. Email: email
(This article belongs to the Special Issue: Advanced Electrode Materials for Ocean Clean Energy: Harvesting, Conversion, Storage and Environmental Sustainability)

Energy Engineering https://doi.org/10.32604/ee.2026.083511

Received 05 April 2026; Accepted 06 May 2026; Published online 02 June 2026

Abstract

This review systematically summarizes the progress of TENGs for marine energy, and distinguishes itself from existing TENG–ocean reviews by deeply elucidating the closed-loop synergistic mechanism of artificial intelligence and microfluidics. We quantitatively validate that AI-driven material screening increases charge density by 3–5 times, microfluidic regulation reduces biofouling-induced output attenuation to 25% of traditional structures, and the collaborative system improves energy conversion efficiency by over 23%. Unlike standalone reviews on TENGs, marine energy, AI materials, or microfluidics, this work is the first to integrate the three into a unified intelligent optimization framework, revealing bottlenecks including device power density (<1 W/m2), large-scale integration phase mismatch, and biodegradable material stability imbalance. We further propose the closed-loop intelligent control and large-scale engineering paths of AI-microfluidics-TENG. This study fills the gap in interdisciplinary collaborative optimization for ocean energy harvesting devices and provides a theoretical and technical reference for the intelligent, efficient, and sustainable utilization of marine blue energy.

Keywords

Triboelectric nanogenerator; artificial intelligence; microfluidics; marine energy; sustainable energy; energy conversion

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