Experimental and modeling study demonstrates variable biocrude yields across biomass compounds, highlighting the role of feedstock selection in solvothermal liquefaction.
The conversion of organic waste into renewable fuels is increasingly explored as a strategy to reduce greenhouse gas emissions and improve resource use. Among the conversion technologies, solvothermal liquefaction (STL) has gained growing attention as a method for producing energy-dense biocrude from biomass under relatively moderate operating conditions. In this study, representative biomass model compounds were used to comparatively investigate the influence of heterogeneous catalysts during ethanol-assisted STL. Glucose, L-phenylalanine, oleic acid, and syringaldehyde were selected as representatives of carbohydrates, proteins, lipids, and lignin, respectively. Experiments were conducted at 270 °C for 30 min using Pt/Al 2 O 3 , Ni/SiO 2 -Al 2 O 3 , and CoO-MoO 3 /Al 2 O 3 catalysts. Biocrude yields varied strongly with feedstock type, with oleic acid producing the highest yield (∼56 wt%) and glucose the lowest (∼9 wt%), for the selected Ni/SiO₂-Al₂O₃ catalyst. Among the investigated systems, Ni/SiO 2 -Al 2 O 3 showed comparatively higher mean biocrude energy recovery under the investigated conditions. The experimental results were subsequently used for preliminary process simulation, techno-economic assessment, and life-cycle assessment. Aspen Plus simulations indicated minimum selling prices ranging from 3.4 to 7.25 USD/kg biocrude depending on the representative feedstock scenario, while the environmental assessment suggested comparatively lower impacts for lipid- and lignin-derived pathways than for protein-based systems. This work therefore provides a preliminary assessment of catalyst and feedstock effects during STL and highlights the importance of feedstock composition in determining process performance.
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Okoro et al. (2026) studied this question.
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