Optimizing the dynamics of a soft biohybrid triboelectric wind energy harvester

In this study, we optimize the structure of a flexible and transparent artificial leaf designed to generate electricity from the wind-induced vibrations of plant leaves through a triboelectric energy conversion mechanism. Specifically, a mathematical model of the artificial leaf was developed, allowing an optimization algorithm to refine its design and increase its oscillation frequency by adjusting the material’s dimensions along the leaf blade. Experimental validation confirmed that the model could result in leaf-like flexible structures with at least a 13% increase in oscillation frequency and improved energy harvesting capability compared to previous prototypes. This allows for the improvement of new biohybrid systems capable of harnessing complex passive motions, like those of plant leaves in the wind for energy harvesting.

Authors

Institutions

Publication Details

Published
2025-04-22
DOI
https://doi.org/10.1109/robosoft63089.2025.11020853
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing the dynamics of a soft biohybrid triboelectric wind energy harvester

Barbara Mazzolai, Fabian Meder, Hans J D Braumann
Advanced Sensor and Energy Harvesting Materials
article

Optimizing the dynamics of a soft biohybrid triboelectric wind energy harvester

Barbara Mazzolai, Fabian Meder, Hans J D Braumann
article en

Abstract

In this study, we optimize the structure of a flexible and transparent artificial leaf designed to generate electricity from the wind-induced vibrations of plant leaves through a triboelectric energy conversion mechanism. Specifically, a mathematical model of the artificial leaf was developed, allowing an optimization algorithm to refine its design and increase its oscillation frequency by adjusting the material’s dimensions along the leaf blade. Experimental validation confirmed that the model could result in leaf-like flexible structures with at least a 13% increase in oscillation frequency and improved energy harvesting capability compared to previous prototypes. This allows for the improvement of new biohybrid systems capable of harnessing complex passive motions, like those of plant leaves in the wind for energy harvesting.

Italian Institute of Technology (IT), Center for Micro-BioRobotics (IT)
European Research Council
Affordable and clean energy
Openalex Percentile: Top 88%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimizing the dynamics of a soft biohybrid triboelectric wind energy harvester — Barbara Mazzolai, Fabian Meder, et al. · (2025) | TGRS Research Map | TGRS