TY - JOUR
T1 - Wet wastes to bioenergy and biochar
T2 - A critical review with future perspectives
AU - Li, Jie
AU - Li, Lanyu
AU - Suvarna, Manu
AU - Pan, Lanjia
AU - Tabatabaei, Meisam
AU - Ok, Yong Sik
AU - Wang, Xiaonan
N1 - Funding Information:
This work was supported by the National Research Foundation , Prime Minister's Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) program, and the Singapore RIE2020 Advanced Manufacturing and Engineering (AME) Programmatic grant “Accelerated Materials Development for Manufacturing”.
Publisher Copyright:
© 2022
PY - 2022/4/15
Y1 - 2022/4/15
N2 - The ever-increasing rise in the global population coupled with rapid urbanization demands considerable consumption of fossil fuel, food, and water. This in turn leads to energy depletion, greenhouse gas emissions and wet wastes generation (including food waste, animal manure, and sewage sludge). Conversion of the wet wastes to bioenergy and biochar is a promising approach to mitigate wastes, emissions and energy depletion, and simultaneously promotes sustainability and circular economy. In this study, various conversion technologies for transformation of wet wastes to bioenergy and biochar, including anaerobic digestion, gasification, incineration, hydrothermal carbonization, hydrothermal liquefaction, slow and fast pyrolysis, are comprehensively reviewed. The technological challenges impeding the widespread adoption of these wet waste conversion technologies are critically examined. Eventually, the study presents insightful recommendations for the technological advancements and wider acceptance of these processes by establishing a hierarchy of factors dictating their performance. These include: i) life-cycle assessment of these conversion technologies with the consideration of reactor design and catalyst utilization from lab to plant level; ii) process intensification by integrating one or more of the wet waste conversion technologies for improved performance and sustainability; and iii) emerging machine learning modeling is a promising strategy to aid the product characterization and optimization of system design for the specific to the bioenergy or biochar application.
AB - The ever-increasing rise in the global population coupled with rapid urbanization demands considerable consumption of fossil fuel, food, and water. This in turn leads to energy depletion, greenhouse gas emissions and wet wastes generation (including food waste, animal manure, and sewage sludge). Conversion of the wet wastes to bioenergy and biochar is a promising approach to mitigate wastes, emissions and energy depletion, and simultaneously promotes sustainability and circular economy. In this study, various conversion technologies for transformation of wet wastes to bioenergy and biochar, including anaerobic digestion, gasification, incineration, hydrothermal carbonization, hydrothermal liquefaction, slow and fast pyrolysis, are comprehensively reviewed. The technological challenges impeding the widespread adoption of these wet waste conversion technologies are critically examined. Eventually, the study presents insightful recommendations for the technological advancements and wider acceptance of these processes by establishing a hierarchy of factors dictating their performance. These include: i) life-cycle assessment of these conversion technologies with the consideration of reactor design and catalyst utilization from lab to plant level; ii) process intensification by integrating one or more of the wet waste conversion technologies for improved performance and sustainability; and iii) emerging machine learning modeling is a promising strategy to aid the product characterization and optimization of system design for the specific to the bioenergy or biochar application.
KW - Biological and thermal conversion
KW - Carbon sequestration
KW - Charcoal
KW - Clean energy
KW - Sustainable development goals
KW - Waste to energy and resource
UR - http://www.scopus.com/inward/record.url?scp=85122699708&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2022.152921
DO - 10.1016/j.scitotenv.2022.152921
M3 - Review article
C2 - 35007594
AN - SCOPUS:85122699708
SN - 0048-9697
VL - 817
JO - Science of the Total Environment
JF - Science of the Total Environment
M1 - 152921
ER -