Lignin-hydrothermal fabrication of 3D hierarchical porous carbon for energy storage application

Q1 Environmental Science

Bioresource Technology Reports Pub Date : 2024-06-01 DOI:10.1016/j.biteb.2024.101883

Johnson Kehinde Abifarin , Fredah Batale Abifarin , Joseph Chukwuka Ofodu

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Abstract

In this groundbreaking study, the Taguchi-Probability method is employed to optimize the energy storage performance of porous hierarchical carbon (PHC) by investigating lignin doping and controlling hydrothermal synthesis conditions. The findings indicate that optimal lignin contents range from 63 to 70 % carbon, 0.75–1.0 % nitrogen, <2.0 % sulfur, and < 30 % oxygen, with varying hydrogen percentages. Ideal hydrothermal conditions involve a temperature of 220 °C, duration of 18 h, concentration of 80 g/L, and pH of 4. Remarkably, pH has the most significant impact (33.30 %) on energy storage enhancement, followed by reaction time (24.73 %), concentration, and temperature. These results highlight the pivotal role of hydrothermal conditions in enhancing PHC's energy storage capabilities, offering promising avenues for sustainable energy storage solutions.

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木质素-水热法制备三维分层多孔碳用于储能应用

在这项突破性研究中，通过研究木质素掺杂和控制水热合成条件，采用田口概率法优化了多孔分层碳（PHC）的储能性能。研究结果表明，最佳木质素含量范围为 63% 至 70% 的碳、0.75% 至 1.0% 的氮、2.0% 的硫和 30% 的氧，氢的比例各不相同。理想的水热条件包括温度 220 °C、持续时间 18 小时、浓度 80 克/升、pH 值 4。值得注意的是，pH 值对能量储存的增强影响最大（33.30%），其次是反应时间（24.73%）、浓度和温度。这些结果凸显了水热条件在增强 PHC 储能能力方面的关键作用，为可持续储能解决方案提供了广阔的前景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Bioresource Technology Reports Environmental Science-Environmental Engineering

CiteScore

7.20

自引率

0.00%

发文量

390

审稿时长

28 days