Advanced models for the prediction of product yield in hydrothermal liquefaction via a mixture design of biomass model components coupled with process variables

Astatkie, Tess; He, Quan; Corscadden, Kenneth; Niu, Haibo; Lin, Jianan; Astatkie, Tess

doi:10.1016/j.apenergy.2018.10.035

Cited by 85 publications

(50 citation statements)

References 52 publications

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“…The mathematical modelling is an important stage of design and study of HTL systems. However, despite active research and practical application of HTL technology, modelling studies of hydrothermal liquefaction have mostly been dedicated to chemical product conversion [13,14], whereas the processes of heat and mass transfer has not attracted sufficient attention.…”

Section: Mathematical Modelmentioning

confidence: 99%

Design, Modelling, and Experimental Validation of a Scalable Continuous-Flow Hydrothermal Liquefaction Pilot Plant

et al. 2021

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In this study, the design and practical implementation of a novel, scalable plug-flow pilot plant for hydrothermal liquefaction of organic feedstock is presented. The overall discussion comprises the system’s design, process modelling, and simulation, as well as results for an experimental validation of the proposed design with a focus on fluid dynamics and heat transfer. The design criteria take into account the scalability of the plug-flow processing system, optimized non-isothermal flow conditions of highly viscous liquids in a tubular system at harsh process conditions, specifically high pressure and medium temperatures, and overall maintenance suitability. A novel forced flow oscillation system as well as unique heat exchange design to reduce the energy consumption during system operation, maximize local flow mixing, and minimize plugging are proposed and experimentally tested. To achieve a better understanding and optimization of Hydrothermal Liquefaction (HTL) (and other) processing systems, a mathematical model of heat transfer coupled with non-isothermal fluid flow was also developed and implemented.

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Section: Mathematical Modelmentioning

confidence: 99%

Design, Modelling, and Experimental Validation of a Scalable Continuous-Flow Hydrothermal Liquefaction Pilot Plant

et al. 2021

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“…Component additivity models are used to determine oil yields from HTL. They include unary component terms, which account for oil production during HTL of a component alone, and can also include binary interaction factors ( Li et al., 2017 ; Lu et al., 2018 ; Yang et al., 2019 ). In previous work ( Seshasayee and Savage, 2021a ), we reported a component-additivity model (see Equation 2 ) that determined oil yields (Y oil ) from HTL of biomass components at 275–400°C and had better predictive ability than previous component-additivity models.…”

Section: Resultsmentioning

confidence: 99%

Component additivity model for plastics—biomass mixtures during hydrothermal liquefaction in sub-, near-, and supercritical water

2021

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Summary We produced oils via hydrothermal liquefaction (HTL) of binary mixtures of biomass components (e.g., lignin, cellulose, starch) with different plastics and binary mixtures of plastics themselves. Cellulose, starch, and lignin demonstrated synergistic interactions (i.e., enhanced oil yields) with the plastics tested (polypropylene, polycarbonate, polystyrene, and polyethylene terephthalate). Polystyrene exhibited synergy during HTL with the three other plastics as did polypropylene during HTL with PET or PC. We used the experimental results to develop the first component-additivity model that predicts the oil yields from HTL of biomass-plastic and plastic-plastic mixtures. The model accounts for interactions among and between biomass components and plastic components in sub-, near-, and supercritical water. The model predicts 88% of 48 published oil yields from HTL experiments with mixtures containing plastics to within 10 wt%.

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“…Results can be used to assess the economic value of various biomass for hydrothermal liquefaction, to provide guidance for various biomass feedstocks' co-liquefaction. Additionally, raised by Yang et al [65], advanced models have been established for the prediction of product yield in hydrothermal liquefaction via a mixture design of biomass model components coupled with process variables. The model compounds used in this study were represented by soya protein, soybean oil, crystalline cellulose, xylan, and alkaline lignin as the model protein, lipids, polysaccharide, hemicellulose, and lignin.…”

Section: Interaction Among Cellulose Hemicellulose and Lignin Componentsmentioning

confidence: 99%

Advance in Hydrothermal Bio-Oil Preparation from Lignocellulose: Effect of Raw Materials and Their Tissue Structures

Zhang

Dou

Yang

et al. 2021

Biomass

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The conversion of abundant forest- and agricultural-residue-based lignocellulosic materials into high-quality bio-oil by the mild hydrothermal method has great potential in the field of biomass utilization. Some excellent research on biomass hydrothermal process has been completed, including temperature, time, catalyst addition, etc. Meanwhile, some research related to the biomass raw material tissue structure has been illustrated by adopting mode components (cellulose, hemicellulose, lignin, protein, lipid, etc.) or their mixtures. The interesting fact is that although some real lignocellulose has approximate composition, their hydrothermal products and distributions show individual differences, which means the interaction within biomass raw material components tremendously affected the reaction pathway. Unfortunately, to our knowledge, there is no review article with a specific focus on the effects of raw materials and their tissue structure on the lignocellulose hydrothermal process. In this review, research progress on the effects of model and mixed cellulose/hemicellulose/lignin effects on hydrothermal products is initially summarized. Additionally, the real lignocellulosic raw materials structure effects during the thermal process are summed up. This article will inspire researchers to focus more attention on wood fiber biomass conversion into liquid fuels or high-value-added chemicals, as well as promote the development of world energy change.

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Advanced models for the prediction of product yield in hydrothermal liquefaction via a mixture design of biomass model components coupled with process variables

Cited by 85 publications

References 52 publications

Design, Modelling, and Experimental Validation of a Scalable Continuous-Flow Hydrothermal Liquefaction Pilot Plant

Design, Modelling, and Experimental Validation of a Scalable Continuous-Flow Hydrothermal Liquefaction Pilot Plant

Component additivity model for plastics—biomass mixtures during hydrothermal liquefaction in sub-, near-, and supercritical water

Advance in Hydrothermal Bio-Oil Preparation from Lignocellulose: Effect of Raw Materials and Their Tissue Structures

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