文献类型：期刊文献

英文题名：Reaction network of sulfur compounds in delayed coking process

作者：Xing, Biao[1];Ye, Lei[1];Liu, Jichang[1,2];Qin, Xinglong[1];Yu, Wenxin[1];Xie, Jinquan[1];Hou, Lixin[1];Wang, Hangzhou[3];Ji, Ye[3];Lu, Diannan[4];Zhao, Jigang[1,2];Sun, Hui[1];Ling, Hao[1]

机构：[1]East China Univ Sci & Technol, Sch Chem Engn, State Key Lab Chem Engn, Shanghai 200237, Peoples R China;[2]Shihezi Univ, Sch Chem & Chem Engn, Key Lab Green Proc Chem Engn Xinjiang Bingtuan, Shihezi 832003, Peoples R China;[3]China Natl Petr Corp, China Petr Planning & Engn Inst, Beijing 100083, Peoples R China;[4]Tsinghua Univ, Dept Chem Engn, Beijing 100084, Peoples R China

年份：2021

卷号：422

外文期刊名：CHEMICAL ENGINEERING JOURNAL

收录：;EI(收录号：20211910318363);WOS:【SCI-EXPANDED(收录号:WOS:000672570900001)】；

基金：We acknowledge financial support from Joint Fund by the National Natural Science Foundation of China and PetroChina (Project U1862204) .

语种：英文

外文关键词：Delayed coking; Structure-oriented lumping; Sulfur compounds

摘要：In order to describe the reaction network and investigate the conversion behavior of sulfur compounds in delayed coking process, a molecular-level reaction kinetic model was established with a reaction network consisting of 81,081 reactions based on the structure-oriented lumping method. A feed molecular matrix containing 2,944 structural vectors was constructed with 24 structural increments based on the characteristics of the vacuum residue molecular composition. The reliability of the model was verified by industrial data. Through the calculation of the SOL model, the sulfur compounds in gasoline were expressed as 57 structural vectors, which were divided into thiophenes, mercaptans and thioethers according to the discriminant rules. The conversion law of sulfur compounds was investigated by tracking the reaction path of molecules in the reaction network. The SOL model could calculate the distribution of sulfur compounds in coking gasoline. The contents of thiophene molecules increased with the carbon numbers. Ethyl mercaptan and propyl mercaptan had higher content in mercaptans. The SOL model can reveal the influences of reaction conditions on sulfur compounds conversion in delayed coking process at the molecular level, which contributes to the accurate control of sulfur content in coking gasoline.