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

Mahadevan Subramanya Seshasayee, Phillip E. Savage

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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., pyrolysis) for any feedstock. The HTL protocol explains experiments with both a single component and mixture. The model is constrained to the specific plastic feedstocks and solvents for product recovery used in the experiments. For complete details on the use and execution of this protocol, please refer to Seshasayee et al. (2021).

Original languageEnglish (US)
Article number101536
JournalSTAR Protocols
Volume3
Issue number3
DOIs
StatePublished - Sep 16 2022

All Science Journal Classification (ASJC) codes

  • General Neuroscience
  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology

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