可再生能源
发电机(电路理论)
电
电压
电力
工艺工程
整流器(神经网络)
发电机
电势能
电气工程
发电
能量收集
能量(信号处理)
环境科学
计算机科学
材料科学
功率(物理)
物理
工程类
机器学习
随机神经网络
循环神经网络
量子力学
人工神经网络
作者
Nazmul Hossain,Roozbeh Abbasi,Weinan Zhao,Xiaoye Zhao,Aiping Yu,Y. Zhou
出处
期刊:Energy & environmental materials
[Wiley]
日期:2025-05-26
卷期号:8 (5)
被引量:5
摘要
Water‐induced electric generators (WEGs) exhibit tremendous promise as sustainable energy sources harvesting electricity through the interaction between materials and water utilizing the hydrovoltaic effect, an innovative green energy harvesting method. However, existing water‐induced electric generator devices predominantly rely on inorganic materials with limited research on naturally available, bio‐based materials for hydrovoltaic energy harvesting. This study introduces a novel nutshell‐based hydrovoltaic water‐induced electric generator for the first time. This low‐cost, organic, and efficient renewable energy source can generate a voltage above 600 mV with a power density exceeding 5.96 μW cm −2 utilizing streaming and evaporation potential methodologies, which can be sustained for more than a week. Notably, after further chemical treatments and combining the physical and chemical phenomena, output voltage and maximum current density reach a record high of 1.21 V and 347.2 μA cm −2 respectively, which outperforms most inorganic and organic materials‐based water‐induced electric generators. By connecting two units in series and parallel, this eco‐friendly water‐induced electric generator can power an LCD calculator without the assistance of any rectifier. We believe that this novel nutshell‐based water‐induced electric generator provides a significant advancement in water‐induced electric generator technology by offering a sustainable solution for powering electronic devices utilizing agricultural waste.
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