Data for Process and Systems Modeling of Hydrothermal Liquefaction for Fuels and Bioproducts from Wet Organic Wastes.

<p dir="ltr">This dataset supports the study “Process and Systems Modeling of Hydrothermal Liquefaction for Fuels and Bioproducts from Wet Organic Wastes.” The study integrates literature derived hydrothermal liquefaction (HTL) data, machine learning based product yield prediction, process simulation, techno economic analysis, life cycle assessment, uncertainty analysis, and surrogate modeling to evaluate HTL systems producing biobinder and biofuel or sustainable aviation fuel (SAF).</p><p><br></p><p dir="ltr">The Figshare item contains four Excel workbooks.

The first contains the raw literature dataset compiled from published HTL experiments. The second contains the curated and stratified machine learning dataset used for model development and independent testing, together with categorical variable encodings and model assumptions. The third contains Monte Carlo design space results for the biobinder and biofuel pathway.