Affiliations 

  • 1 Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore
  • 2 Xiamen Municipal Environment Technology Co.,Ltd, Xiamen 361021, China
  • 3 Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia; Microbial Biotechnology Department, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Extension, And Education Organization (AREEO), Karaj, Iran
  • 4 Korea Biochar Research Center, APRU Sustainable Waste Management Program, Division of Environmental Science and Ecological Engineering, Korea University, Seoul, Republic of Korea. Electronic address: [email protected]
  • 5 Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore; Department of Chemical Engineering, Tsinghua University, Beijing 100084, China. Electronic address: [email protected]
Sci Total Environ, 2022 Jan 07;817:152921.
PMID: 35007594 DOI: 10.1016/j.scitotenv.2022.152921

Abstract

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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.