A reduced basis method is applied to batch chromatography and the underlying optimization problem is solved efficiently based on the resulting reduced model. A technique of adaptive snapshot selection is proposed to reduce the complexity and runtime of generating the reduced basis. With the help of an output-oriented error bound, the construction of the reduced model is managed automatically. Numerical examples demonstrate the performance of the adaptive technique in reducing the offline time. The ROM-based optimization is successful in terms of the accuracy and the runtime for getting the optimal solution.
CITATION STYLE
Benner, P., Feng, L., Li, S., & Zhang, Y. (2015). Reduced-Order Modeling and ROM-Based Optimization of Batch Chromatography (pp. 427–435). https://doi.org/10.1007/978-3-319-10705-9_42
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