Ferroelectric Dipole Moment Effect-Enhanced Droplet-Based Hydrovoltaic Power Generation: A Novel Strategy for High-Efficiency Energy Conversion

Green, pollution-free hydrovoltaic technology has become a promising solution for carbon-neutral energy supply. However, existing hydrovoltaic devices face challenges related to low ion separation efficiency in nanochannels and the difficulty of maintaining ion concentration gradients, resulting in low output performance and short operational time. To address these issues, this paper proposes a novel strategy involving the insertion of a ferroelectric film between the active material layer and the top electrode. By utilizing the ferroelectric dipole moment to modulate the surface zeta potential, this approach enhances the internal electric field within the device and improves the separation efficiency of net ions. The optimized device shows significant performance improvements, with an open-circuit voltage of up to 0.8 V, a short-circuit current density of 240 μA/cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>, and a maximum power density of 23.1 μW/cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>, far exceeding the performance of conventional droplet-based HDs. As a potential application, this study also demonstrates the feasibility of using this hydrovoltaic device as a practical power source. This work provides new theoretical insights and practical guidance for the design and optimization of droplet-based HDs.

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Published
2025-06-29
DOI
https://doi.org/10.1109/transducers61432.2025.11109256
Citations
1
Primary Topic
Modular Robots and Swarm Intelligence
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article
Field-Weighted Citation Impact
0.71

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article

Ferroelectric Dipole Moment Effect-Enhanced Droplet-Based Hydrovoltaic Power Generation: A Novel Strategy for High-Efficiency Energy Conversion

Fayang Wang, Endian Cui, Xiaojing Mu, Pengfan Wu et al.
1 citations
Modular Robots and Swarm Intelligence
0.71
article

Ferroelectric Dipole Moment Effect-Enhanced Droplet-Based Hydrovoltaic Power Generation: A Novel Strategy for High-Efficiency Energy Conversion

Fayang Wang, Endian Cui, Xiaojing Mu, Pengfan Wu, Chenxi Zhao, Danni Yang, Young Sun Song
article en
1 citations

Abstract

Green, pollution-free hydrovoltaic technology has become a promising solution for carbon-neutral energy supply. However, existing hydrovoltaic devices face challenges related to low ion separation efficiency in nanochannels and the difficulty of maintaining ion concentration gradients, resulting in low output performance and short operational time. To address these issues, this paper proposes a novel strategy involving the insertion of a ferroelectric film between the active material layer and the top electrode. By utilizing the ferroelectric dipole moment to modulate the surface zeta potential, this approach enhances the internal electric field within the device and improves the separation efficiency of net ions. The optimized device shows significant performance improvements, with an open-circuit voltage of up to 0.8 V, a short-circuit current density of 240 μA/cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>, and a maximum power density of 23.1 μW/cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>, far exceeding the performance of conventional droplet-based HDs. As a potential application, this study also demonstrates the feasibility of using this hydrovoltaic device as a practical power source. This work provides new theoretical insights and practical guidance for the design and optimization of droplet-based HDs.

Chongqing University of Technology (CN)
Science Fund for Distinguished Young Scholars of Chongqing
Affordable and clean energy
Openalex Percentile: Top 29%
Modular Robots and Swarm Intelligence
0.71
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Ferroelectric Dipole Moment Effect-Enhanced Droplet-Based Hydrovoltaic Power Generation: A Novel Strategy for High-Efficiency Energy Conversion — Fayang Wang, Endian Cui, et al. · (2025) | TGRS Research Map | TGRS