Predicting the chemical composition of biocrude from hydrothermal liquefaction of biomasses using a multivariate statistical approach-Reference-Cited by-同舟云学术

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Predicting the chemical composition of biocrude from hydrothermal liquefaction of biomasses using a multivariate statistical approach

Published:2024 Issue:17 Volume:8 Page:3877-3891
ISSN:2398-4902
Container-title:Sustainable Energy & Fuels
language:en
Short-container-title:Sustainable Energy Fuels

Author:

Jensen Maja Skou¹,Madsen René Bjerregaard¹,Salionov Daniil¹^ORCID,Glasius Marianne¹^ORCID

Affiliation:

1. Department of Chemistry, Aarhus University, Langelandsgade 140, 8000 Aarhus C, Denmark

Abstract

The effects of hydrothermal liquefaction process conditions and biochemical composition of feedstock on biocrude yield and major compound classes were investigated using regression models and machine learning.

Funder

Horizon 2020 Framework Programme

Innovationsfonden

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/SE/D4SE00860J

Reference68 articles.

1. P.Biller and A.Roth , Hydrothermal Liquefaction: A Promising Pathway Towards Renewable Jet Fuel , in Biokerosene , Springer , 2017 , vol. 1 , pp. 607–635

2. Hydrothermal liquefaction of biomass: Developments from batch to continuous process

3. Hydroprocessing of bio-crude from continuous hydrothermal liquefaction of microalgae

4. Direct Liquefaction of Biomass

5. Thermochemical biofuel production in hydrothermal media: A review of sub- and supercritical water technologies

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