2019
DOI: 10.1039/c9re00176j
|View full text |Cite
|
Sign up to set email alerts
|

Lignin valorization process control under feedstock uncertainty through a dynamic stochastic programming approach

Abstract: Herein we address the feedstock uncertainty for a robust lignin valorization process through a dynamic stochastic programming approach.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
2
2
1

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 33 publications
0
1
0
Order By: Relevance
“…The combined catalyst composition, dosage, and other reaction parameters are optimized on the conversion rate of depolymerizing lignin into low-molecular-weight aromatics using the Box-Behnken experimental design [54] and the response surface methodology. [54,55] We elucidate the lignin depolymerization mechanism by the ferrous/persulfate reagent, using the density functional theory (DFT) [56] in the Gaussian program package [57] and experimental data to compare the lignin structures before and after depolymerization.…”
Section: Introductionmentioning
confidence: 99%
“…The combined catalyst composition, dosage, and other reaction parameters are optimized on the conversion rate of depolymerizing lignin into low-molecular-weight aromatics using the Box-Behnken experimental design [54] and the response surface methodology. [54,55] We elucidate the lignin depolymerization mechanism by the ferrous/persulfate reagent, using the density functional theory (DFT) [56] in the Gaussian program package [57] and experimental data to compare the lignin structures before and after depolymerization.…”
Section: Introductionmentioning
confidence: 99%