生物炭
原材料
生物量(生态学)
热解
环境科学
固碳
碳纤维
制浆造纸工业
生物燃料
持续性
废物管理
自然资源经济学
化学
材料科学
工程类
二氧化碳
农学
经济
有机化学
复合数
复合材料
生物
生态学
作者
Mohd Rafein Zakaria,Mohammad Abdillah Ahmad Farid,Yoshito Andou,Irmawati Ramli,Mohd Ali Hassan
标识
DOI:10.1016/j.indcrop.2023.116767
摘要
The palm oil industry produces large quantities of biomass residues that can be utilized to produce value-added products. Oil palm biomass has an average carbon content ranging from 42.7% to 57.9%, with 3.5–27% fixed carbon, making it a promising source of carbonaceous, thermogenic materials. With estimated yearly production hovering around giga-tonnes, rising interest in bio-based carbonaceous products paves the way for new commercial and scientific applications and holds the potential to be worth millions of dollars on the market as society begins to take the climate crisis gravely. Pyrolysis is the most used technique for converting lignocellulosic feedstock into carbon and energy-rich by-products, with the resulting properties being highly dependent on the feedstock and reaction conditions. This process, which occurs at high temperatures in an oxygen-free or low-oxygen environment, improves carbon content, energy density, surface functionality, and porosity. However, given the lack of a precise technical definition for carbon materials and methods available, studies of biochar and activated carbon (AC) are progressively colliding with one another. Therefore, based on their respective backgrounds and methods of synthesis, their differences are outlined in this report. The present review highlights recent progress and development of biochar and AC from oil palm biomass by looking at the technical aspects of product generation and potential applications. Considering the potential use of these biomass materials for in-house and future applications, strategies, challenges and action should be taken by all parties including government, academia, industry, and consumer to foster the sustainability and circular bioeconomy in the oil palm industry.
科研通智能强力驱动
Strongly Powered by AbleSci AI