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Abstract

Hydrothermal liquefaction presents a direct route to biomass useful resource utilization. Mathematical modeling is a positive device for research, improvement and optimization of biomass hydrothermal liquefaction technique technology. In this paper, 4 mathematical fashions are systematically described, namely, empirical model, response floor method, kinetic model, and computer learning, and the building and lookup improvement records of these four fashions in hydrothermal liquefaction are summarized. Especially, computer gaining knowledge of has lately been brought into biomass hydrothermal liquefaction and has a extensive utility prospect. This data can assist optimize the yield and high-quality of bio crude, help in the plan of hydrothermal liquefaction reactors, and facilitate the industrialization and commercialization of hydrothermal liquefaction technological know-how at low lookup costs.