文献类型：期刊文献

英文题名：Practical Online Characterization of the Properties of Hydrocracking Bottom Oil via Near-Infrared Spectroscopy

作者：Long, Jian[1,2];Xu, Tiantian[1];Fan, Chen[1,2]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Engn Res Ctr Proc Syst Engn, Minist Educ, Shanghai 200237, Peoples R China

年份：2023

卷号：11

期号：3

外文期刊名：PROCESSES

收录：;EI(收录号：20241215778430);WOS:【SCI-EXPANDED(收录号:WOS:000957552700001)】；

基金：This work was supported by National Key Research and Development Program of China (2022YFB3305903), National Natural Science Foundation of China (Key Program: 62136003), National Natural Science Foundation of China (61973124), Shanghai Committee of Science and Technology (Grant No.22DZ1101500) and Fundamental Research Funds for the Central Universities.

语种：英文

外文关键词：hydrocracking bottom oil; near-infrared; kernel partial least squares; online measurement; ethylene cracking

摘要：Providing real-time information on the chemical properties of hydrocracking bottom oil (HBO) as the feedstock for ethylene cracker while minimizing processing time, is important to improve the real-time optimization of ethylene production. In this study, a novel approach for estimating the properties of HBO samples was developed on the basis of near-infrared (NIR) spectra. The main noise and extreme samples in the spectral data were removed by combining discrete wavelet transform with principal component analysis and Hotelling's T2 test. Kernel partial least squares (KPLS) regression was utilized to account for the nonlinearities between NIR data and the chemical properties of HBO. Compared with the principal component regression, partial least squares regression, and artificial neural network, the KPLS model had a better performance of obtaining acceptable values of root mean square error of prediction (RMSEP) and mean absolute relative error (MARE). All RMSEP and MARE values of density, Bureau of Mines correlation index, paraffins, isoparaffins, and naphthenes were less than 1.0 and 3.0, respectively. The accuracy of the industrial NIR online measurement system during consecutive running periods in predicting the chemical properties of HBO was satisfactory. The yield of high value-added products increased by 0.26 percentage points and coil outlet temperature decreased by 0.25 degrees C, which promoted economic benefits of the ethylene cracking process and boosted industrial reform from automation to digitization and intelligence.