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Parameter estimation for LLDPE gas-phase reactor models

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Parameter estimation for LLDPE gas-phase reactor models

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Título Parameter estimation for LLDPE gas-phase reactor models
Autor Neumann, Gustavo Alberto
Finkler, Tiago Fiorenzano
Cardozo, Nilo Sérgio Medeiros
Secchi, Argimiro Resende
Abstract Product development and advanced control applications require models with good predictive capability. However, in some cases it is not possible to obtain good quality phenomenological models due to the lack of data or the presence of important unmeasured effects. The use of empirical models requires less investment in modeling, but implies the need for larger amounts of experimental data to generate models with good predictive capability. In this work, nonlinear phenomenological and empirical models were compared with respect to their capability to predict the melt index and polymer yield of a low-density polyethylene production process consisting of two fluidized bed reactors connected in series. To adjust the phenomenological model, the optimization algorithms based on the flexible polyhedron method of Nelder and Mead showed the best efficiency. To adjust the empirical model, the PLS model was more appropriate for polymer yield, and the melt index needed more nonlinearity like the QPLS models. In the comparison between these two types of models better results were obtained for the empirical models.
Contido em Brazilian journal of chemical engineering. São Paulo, SP. Vol. 24, no. 2 (Apr./Jun. 2007), p.267-275
Assunto Polietileno de baixa densidade
Polimerizacao
Processos químicos : Modelagem
[en] Empirical model
[en] Ethylene polymerization
[en] LLDPE
[en] Parameter estimation
[en] Phenomenological model
Origem Nacional
Tipo Artigo de periódico
URI http://hdl.handle.net/10183/30508
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