Journal
BIORESOURCE TECHNOLOGY
Volume 344, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.biortech.2021.126215
Keywords
Lignocellulosic biomass; Circular economy; Biomass conversion technologies; Artificial intelligence; Neural networks; Biorefinery
Funding
- University Research Coordination Office of De La Salle University (DLSU)
- Office of the Vice Chancellor for Research and Innovation of DLSU
- Engineering Research and Development for Technology grant of the Department of Science and Technology of the Philippines
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Lignocellulosic biomass is seen as a sustainable feedstock for biorefineries, but challenges like commercialization and cost effectiveness exist. This article emphasizes studies on the sustainability of LCB and the role of computational intelligence methods in improving biorefineries.
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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