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Development of a rigorous and generalized model on the hydrothermal liquefaction (HTL) process for bio-oil production

  • Yuan Pin Shia
  • , Bor Yih Yu*
  • *Corresponding author for this work
  • Chang Gung University

Research output: Contribution to journalJournal Article peer-review

19 Scopus citations

Abstract

A rigorous process model for hydrothermal liquefaction (HTL) of microalgae is proposed in this work. This research attempts to uncover a complicated simulation scenario for the characterization of microalgae, the development of suitable reaction pathways, kinetics, and thermodynamics. In this study, 55 model compounds and 41 individual reactions were used to describe an HTL system. The kinetic parameters were regressed using literature data, which reported the results under different operating conditions using the three species of microalgae. The proposed kinetic model revealed acceptable predictivity by predicting 117 published biocrude yields (total 160) to within ± 10 wt% and 28 published HHV (total 39) to within ± 5 MJ/kg. Finally, a continuous HTL process was conceptually designed. The trade-off between the biocrude yield and HHV was investigated via multi-objective optimization (MOO), which yielded the best trade-off between the biocrude yields (37.2–60.0 wt%) and HHV (27.5 and 33.5 MJ/kg). This work presents a satisfactory first attempt to rigorously simulate a very complex HTL process. Its application in the preliminary process design, optimization, and economic analysis is recommended.

Original languageEnglish
Pages (from-to)541-554
Number of pages14
JournalProcess Safety and Environmental Protection
Volume171
DOIs
StatePublished - 03 2023

Bibliographical note

Publisher Copyright:
© 2023 The Institution of Chemical Engineers

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Bio-oil
  • Hydrothermal liquefaction (HTL)
  • Microalgae
  • Multi-objective optimization
  • Process design
  • Simulated annealing

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