生物炼制
商业化
生物量(生态学)
持续性
生物燃料
木质纤维素生物量
原材料
生化工程
生物能源
工程类
废物管理
生物技术
环境科学
业务
化学
营销
有机化学
生态学
地质学
海洋学
生物
作者
Alvin B. Culaba,Andres Philip Mayol,Jayne Lois San Juan,Carlo L. Vinoya,Ronnie Concepcion,Argel A. Bandala,Ryan Rhay P. Vicerra,Aristotle T. Ubando,Wei‐Hsin Chen,Jo‐Shu Chang
标识
DOI:10.1016/j.biortech.2021.126215
摘要
Lignocellulosic biomass (LCB) is considered as a sustainable feedstock for a biorefinery to generate biofuels and other bio-chemicals. However, commercialization is one of the challenges that limits cost-effective operation of conventional LCB biorefinery. This article highlights some studies on the sustainability of LCB in terms of cost-competitiveness and environmental impact reduction. In addition, the development of computational intelligence methods such as Artificial Intelligence (AI) as a tool to aid the improvement of LCB biorefinery in terms of optimization, prediction, classification, and decision support systems. Lastly, this review examines the possible research gaps on the production and valorization in a smart sustainable biorefinery towards circular economy.
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