Smart sustainable biorefineries for lignocellulosic biomass

Alvin B Culaba; Andres Philip Mayol; Jayne Lois G San Juan; Carlo L Vinoya; Ronnie S Concepcion 2nd; Argel A Bandala; Ryan Rhay P Vicerra; Aristotle T Ubando; Wei-Hsin Chen; Jo-Shu Chang

doi:10.1016/j.biortech.2021.126215

Smart sustainable biorefineries for lignocellulosic biomass

Bioresour Technol. 2022 Jan;344(Pt B):126215. doi: 10.1016/j.biortech.2021.126215. Epub 2021 Oct 30.

Affiliations

¹ Department of Mechanical Engineering, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines; Center for Engineering Sustainable Development Research, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines. Electronic address: alvin.culaba@dlsu.edu.ph.
² Center for Engineering Sustainable Development Research, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines; Department of Manufacturing Engineering and Management, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines.
³ Center for Engineering Sustainable Development Research, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines; Department of Industrial and Systems Engineering, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines.
⁴ Department of Mechanical Engineering, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines; School of Sciences and Engineering, University of Asia and the Pacific, Pearl Dr, Ortigas Center, Pasig, 1605 Metro Manila, Philippines.
⁵ Center for Engineering Sustainable Development Research, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines; Department of Electronics and Computer Engineering, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines.
⁶ Department of Mechanical Engineering, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines; Center for Engineering Sustainable Development Research, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines; Thermomechanical Analysis Laboratory, De La Salle University, Laguna Campus, LTI Spine Road, Laguna Blvd, Biñan, Laguna 4024, Philippines.
⁷ Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan 701, Taiwan; Research Center for Smart Sustainable Circular Economy, Tunghai University, Taichung 407, Taiwan; Department of Mechanical Engineering, National Chin-Yi University of Technology, Taichung 411, Taiwan.
⁸ Department of Chemical and Materials Engineering, Tunghai University, Taichung 407, Taiwan; Research Center for Smart Sustainable Circular Economy, Tunghai University, Taichung 407, Taiwan; Department of Chemical Engineering, National Cheng Kung University, Tainan 701, Taiwan.

PMID: 34728355
DOI: 10.1016/j.biortech.2021.126215

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.

Keywords: Artificial intelligence; Biomass conversion technologies; Biorefinery; Circular economy; Lignocellulosic biomass; Neural networks.

Publication types

Review

MeSH terms

Artificial Intelligence*
Biofuels
Biomass
Lignin*

Substances

Biofuels
lignocellulose
Lignin