Hou Weifeng
Zhejiang Supcon Software Co., Ltd., Hangzhou, 310053, China
Zhao Lujun
Zhejiang Supcon Software Co., Ltd., Hangzhou, 310053, China
Zhang Liming
Zhejiang Supcon Software Co., Ltd., Hangzhou, 310053, China
Wang Guihong
Zhejiang Supcon Software Co., Ltd., Hangzhou, 310053, China
ABSTRACT
In this study, a 20-lumped kinetics model and a linear Partial Least Squares (PLS) model are applied to the on-line aromatics yield prediction for a commercial Continuous Catalyst Regeneration (CCR) platforming process. The off-line simulation results of the two models are both excellent and then a valid on-line prediction and revision strategy is adopted in the CCR process. The average deviation between on-line predicted and actual aromatics yield is 0.54% (by mass) and 0.62% respectively which is nearly equal to the off-line prediction performance. The difference between the two models is also studied. A software package, named APC-Sensor, including the two models and the on-line prediction and revision strategy, has been successfully applied in the CCR process.
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How to cite this article
Hou Weifeng, Zhao Lujun, Zhang Liming and Wang Guihong, 2013. On-line Production Quality Prediction for a Commercial Naphtha Catalytic
Reforming Process. Information Technology Journal, 12: 4553-4560.
DOI: 10.3923/itj.2013.4553.4560
URL: https://scialert.net/abstract/?doi=itj.2013.4553.4560
DOI: 10.3923/itj.2013.4553.4560
URL: https://scialert.net/abstract/?doi=itj.2013.4553.4560
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