文献类型：期刊文献

英文题名：Online Determination on the Properties of Naphtha as the Ethylene Feedstock Using Near-Infrared Spectroscopy

作者：Fan, Chen[1];Liu, Tianbo[2];Hu, Guihua[1];Yang, Minglei[1];Long, Jian[1,3]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Sinopec Jinan Co, Jinan 250102, Peoples R China;[3]Qingyuan Innovat Lab, Quanzhou 362801, Peoples R China

年份：2023

卷号：63

期号：9

起止页码：1069

外文期刊名：PETROLEUM CHEMISTRY

收录：;EI(收录号：20234014845179);WOS:【SCI-EXPANDED(收录号:WOS:001079647200001)】；

基金：This work was supported by the National Key Research and Development Program of China (2022YFB3305900), National Natural Science Foundation of China (61973124, 62373155), Major Program of Qingyuan Innovation Laboratory (Grant No. 00122002) and the Programme of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017.

语种：英文

外文关键词：near-infrared spectroscopy; naphtha properties; pre-processing; partial least squares; online determination

摘要：Providing real-time information on the properties of naphtha as the ethylene feedstock within the minimal time is significant for improvement of the process simulation, control, and real-time optimization. To develop models predicting naphtha properties for different pre-processing methods, an online full transmittance near-infrared (NIR) spectrum measurement system has been used along with the principal component regression and partial least squares (PLS) methods. The results show that the Savitzky-Golay smoothing combined with the first-derivative pre-processing provides the best denoising effect compared to other methods. The predicted relative errors of the NIR models developed by PLS, especially for the cutting temperature points of the test set, basically make 1-5% indicating it can be used to create good NIR prediction models for the on-line determination of naphtha properties.