2026-10-07T00:27:18Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33968758 2026-10-01T19:09:50Z category_26572 category_26569 category_26308 item_type_3 month_year_10_2026

Data for Process and Systems Modeling of Hydrothermal Liquefaction for Fuels and Bioproducts from Wet Organic Wastes. Ali Ahmad (25091461) Rohit Bhagat (25091650) Kevin Warren (25091653) Saketnath Pabba (25091659) Yalin Li (22789172) Waste management, reduction, reuse and recycling Life cycle assessment and industrial ecology Chemical and thermal processes in energy and combustion wet organic wastes sustainable aviation fuels (SAF) techno economic analysis uncertainty and sensitivity analysis life cycle assessment modeling Random forest algorithms biobinder biofuel additives <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. The fourth contains Monte Carlo design space results for the SAF pathway.</p><p><br></p><p dir="ltr">The design space datasets include food waste, green waste, manure, and wastewater sludge under centralized HTL (c HTL) and decentralized HTL (d HTL) deployment configurations. A total of 10,000 Monte Carlo samples were generated for each feedstock and deployment configuration. The number of successfully converged simulations may be lower than 10,000 for individual cases. The workbooks contain coversheets describing the data organization, assumptions, abbreviations, and relevant model settings.</p><p><br></p><p dir="ltr">These data are provided to support reproducibility of the literature data curation, machine learning model development, and process and systems analyses reported in the associated study.</p> 2026-10-01T19:09:50Z Dataset Dataset 10.6084/m9.figshare.33968758.v1 https://figshare.com/articles/dataset/Data_for_Process_and_Systems_Modeling_of_Hydrothermal_Liquefaction_for_Fuels_and_Bioproducts_from_Wet_Organic_Wastes_/33968758 CC BY 4.0