Overcoming the challenges of dynamic systems in steady-state simulations: the use of meta-modeling as a surrogate for complex kinetic models

Author:

Elias Andrew M.,Gargalo Carina L.,Farinas Cristiane S.,Gernaey Krist V.

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Elsevier

Reference9 articles.

1. Methodology for the optimal design of an integrated first and second generation ethanol production plant combined with power cogeneration;Bechara,2016

2. A Kriging-based approach for conjugating specific dynamic models into whole plant stationary simulations;Carpio,2018

3. Carpio, R.R., Giordano, R.C., Secchi, A.R., 2017. Enhanced Surrogate Assisted Global Optimization Algorithm Based on Maximizing Probability of Improvement, in: Computer Aided Chemical Engineering. pp. 2065-2070, Elsevier.

4. A simple approach to improve the robustness of equation-oriented simulators: Multilinear look-up table interpolators;Furlan,2016

5. Lophaven, S.N., Nielsen, H.B., Søndergaard, J., 2002. DACE - A Matlab Kriging Toolbox, Version 2.0.

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