Menglong Niu, Lei Zhang, Yongge Xue, Ben Niu, Xiaohua Chai, Dong Li, Baoqi Ma
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引用次数: 0
Abstract
This paper presents a reaction kinetics model for analyzing the coal tar hydrodeoxygenation process from the perspectives of deoxygenation, hydrogenation, and cracking. The model is established based on the data from 24 sets of coal tar hydrotreatment experiments performed at different temperatures, pressures, and liquid hourly space velocity (LHSV) in a fixed-bed reactor. In the established model, the reaction kinetics equations, mass transport equations, and property calculation equations are coupled and solved simultaneously. This model can predict the distribution of H2 partial pressure, H2O partial pressure, and the concentrations of oxygen-containing compounds, aromatics, and cycloalkanes along the reactor axis, under different conditions (temperature, pressure, and space velocity). The validation experiments show that the model's prediction error for hydrodeoxygenation reaction product concentration is no more than 1.1%, for hydrogenation reaction product concentration is within 6.5%, and for cracking reaction product concentration is within 8.5%.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.