Statistical Models for Predicting Oil Composition from Hydrothermal Liquefaction of Biomass-Reference-Cited by-同舟云学术

Statistical Models for Predicting Oil Composition from Hydrothermal Liquefaction of Biomass

Published:2023-04-14 Issue:9 Volume:37 Page:6619-6628
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Subramanya Seshasayee Mahadevan¹,Rios Nicholas²,Kollar Abbey¹^ORCID,Stofanak Rachel¹,Maloney Katherine¹,Waltz Kayley¹,Powers Lucas¹,Rane Chinmayee³,Savage Phillip E.¹^ORCID

Affiliation:

1. Chemical Engineering Department, Pennsylvania State University, 121D CBE Building, University Park, Pennsylvania 16802 United States

2. Statisitics Department, George Mason University, Fairfax, Virginia 22031 United States

3. Computer Science and Engineering Department, State University of New York at Buffalo, Buffalo, New York 14260 United States

Funder

Pennsylvania State University

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.3c00297

Reference50 articles.

1. A review on hydrothermal liquefaction of biomass

2. Molecular characterization and atomistic model of biocrude oils from hydrothermal liquefaction of microalgae

3. Hydrothermal Liquefaction and Gasification of Nannochloropsis sp.

4. Hydrothermal liquefaction of Litsea cubeba seed to produce bio-oils

5. Influence of biodiversity, biochemical composition, and species identity on the quality of biomass and biocrude oil produced via hydrothermal liquefaction

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