2014
DOI: 10.1016/j.fuel.2013.12.009
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Alkanolysis simulation of lignite-related model compounds using density functional theory

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Cited by 21 publications
(6 citation statements)
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“…7 Functional groups of ZL )naphthalene selected as lignite-related model compounds were subjected to ethanolysis using density functional theory according to our previous report. 30 Briefly, the method, functional, and basis set were set to generalized gradient approximation, Becke and Perdew functional, and double numerical plus polarization, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…7 Functional groups of ZL )naphthalene selected as lignite-related model compounds were subjected to ethanolysis using density functional theory according to our previous report. 30 Briefly, the method, functional, and basis set were set to generalized gradient approximation, Becke and Perdew functional, and double numerical plus polarization, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…To investigate the catalytic pyrolysis mechanism and give guidance for designing catalysts, plenty of theoretic works have been performed to study the reaction pathway. , As a result of the complexity, variability, and heterogeneity of coal, the coal-based model compounds have been widely used to study the pyrolysis behaviors of coal. C 6 H 5 COOH is a common model compound in the study of coal pyrolysis using density functional theory (DFT). ,, It is found that the direct decarboxylation mechanism and the stepwise decarboxylation mechanism are the main pathways of C 6 H 5 COOH pyrolysis. , According to the experimental results, the catalysts will affect the product distribution. However, to our knowledge, no paper has studied the catalytic pyrolysis mechanism of coal-based model compound C 6 H 5 COOH on different catalysts.…”
Section: Introductionmentioning
confidence: 99%
“…In our study, 33 docked complexes were obtained and five of them were further analyzed. The substrates were chosen on the bases of literature search [15][16][17][18] . Guaiacol, p-coumaric acid, sinapic acid (SA), fulvic acid and DMP were selected according to the best MOE docking score (Supplemental Table S1), economic and feasibility analysis of the use of such a compound in LMS (Fig.…”
Section: Resultsmentioning
confidence: 99%