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Nonlinear Wave‐Based Measurement Location Design and Online Estimation of a High‐Purity Heat‐Integrated Distillation Column
Author(s) -
Cong Lin
Publication year - 2016
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.201500436
Subject(s) - distillation , nonlinear system , principal component analysis , estimator , fractionating column , adaptability , process engineering , computer science , engineering , mathematical optimization , mathematics , chemistry , artificial intelligence , statistics , chromatography , ecology , physics , quantum mechanics , biology
A heat‐integrated distillation column (HIDiC) provides a great opportunity for energy conservation in distillation. The nonlinear wave theory offers an accurate and simplified description of the HIDiC. To utilize the wave model online, an estimator design is necessary since the wave model parameters cannot be measured directly. A method for selecting the location of the stage concentration measurements is proposed here to estimate the wave model parameters online. The first several measurement locations are selected based on a weighted principal component analysis (PCA) method, and the remaining measurements are decided on by a relative distribution index. Separation of a benzene‐toluene mixture is used to illustrate the performance of the selection and estimation. The simulation results show that the proposed method has a stronger adaptability than the method based on PCA.