ChromaTech: A discontinuous Galerkin spectral element simulator for preparative liquid chromatography

被引:17
|
作者
Meyer, Kristian [1 ,2 ]
Leweke, Samuel [3 ,4 ]
von Lieres, Eric [3 ]
Huusom, Jakob K. [2 ]
Abildskov, Jens [2 ]
机构
[1] Meyer Chroma Technol MCT ApS, Hollandsvej 5, DK-2800 Lyngby, Denmark
[2] Tech Univ Denmark, Proc & Syst Engn Ctr PROSYS, Dept Chem & Biochem Engn, Bldg 229, DK-2800 Lyngby, Denmark
[3] Forschungszentrum Julich, IBG 1 Biotechnology, D-52428 Julich, Germany
[4] Univ Cologne, Math Inst, Weyertal 86-90, D-50931 Cologne, Germany
关键词
High-order; Discontinuous galerkin spectral element method; Liquid chromatography; Steric-mass-action isotherm; General rate model; Parallel pore/surface diffusion; GENERAL RATE MODEL; PREDICTIVE CONTROL; ADSORPTION; DESIGN; DIFFUSION; PROTEIN; PHENOL; BATCH;
D O I
10.1016/j.compchemeng.2020.107012
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
ChromaTech is a simulator for preparative liquid chromatography processes with mass transport de-scribed by the pore and surface diffusion general rate model. A discontinuous Galerkin spectral element method is used for spatial discretization with exponential decay of approximation errors within elements. The code is validated by numerically reproducing a high-precision reference obtained with CADET-semi -analytic. The performance of ChromaTech is tested by comparing against CADET, a dedicated code based on a weighted essentially non-oscillatory finite volume method with second (low) order spatial accuracy. Reassuringly, ChromaTech provides exactly the same chromatograms as CADET for multicomponent pro-tein purification cases with linear and non-linear adsorption dynamics. However, the numerical results show, that ChromaTech has superior efficiency in terms of computational cost and discrete problem size without compromising stability. The spatial discretization is the major difference between the two codes for solution of the pore and surface diffusion general rate model. Thus, it demonstrates, that spectral methods are not just competitive with second (low) order accurate methods often used by default, but simply a superior approach for spatial discretization of liquid chromatography flow problems in terms of computational efficiency. (c) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:16
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