| Literature DB >> 34728355 |
Alvin B Culaba1, Andres Philip Mayol2, Jayne Lois G San Juan3, Carlo L Vinoya4, Ronnie S Concepcion2, Argel A Bandala5, Ryan Rhay P Vicerra2, Aristotle T Ubando6, Wei-Hsin Chen7, Jo-Shu Chang8.
Abstract
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.Entities:
Keywords: Artificial intelligence; Biomass conversion technologies; Biorefinery; Circular economy; Lignocellulosic biomass; Neural networks
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Year: 2021 PMID： 34728355 DOI： 10.1016/j.biortech.2021.126215
Source DB: PubMed Journal: Bioresour Technol ISSN： 0960-8524 Impact factor: 9.642