Protocol to develop component additivity models that predict oil yield from hydrothermal liquefaction.

Here, we describe steps for performing hydrothermal liquefaction (HTL) experiments and developing component additivity models that predict oil yields from HTL of mixtures with biomass and plastics. Such models could be developed for predicting outcomes from any thermochemical valorization process (e.g.

Hydrothermal liquefaction of polysaccharide feedstocks with heterogeneous catalysts.

Hydrothermal liquefaction (HTL) of starch, cellulose, pectin, and chitin with Pd/C, Co-Mo/γ-AlO, and zeolite was investigated at 320 °C for 30 min. Using Co-Mo/γ-AlO at 5 wt% loading led to the highest biocrude yields from starch (25 wt%) and cellulose (23 wt%). The yields from cellulose are more than twice those from noncatalytic HTL (11 wt%).

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

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.