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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...

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Detalles Bibliográficos
Autores principales: Seshasayee, Mahadevan Subramanya, Savage, Phillip E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294557/
https://www.ncbi.nlm.nih.gov/pubmed/35839769
http://dx.doi.org/10.1016/j.xpro.2022.101536
Descripción
Sumario: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).