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MODEL-BASED RUN-TO-RUN OPTIMIZATION FOR PROCESS DEVELOPMENT

Authors :
Ernesto Martínez
Martín Francisco Luna
Source :
Brazilian Journal of Chemical Engineering v.35 n.3 2018, Brazilian Journal of Chemical Engineering, Associação Brasileira de Engenharia Química (ABEQ), instacron:ABEQ, CONICET Digital (CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas, instacron:CONICET, Brazilian Journal of Chemical Engineering, Vol 35, Iss 3, Pp 1063-1080
Publication Year :
2018
Publisher :
Brazilian Society of Chemical Engineering, 2018.

Abstract

Research and development of new processes is a fundamental part of any innovative industry. For process engineers, finding optimal operating conditions for new processes from the early stages is a main issue, since it improves economic viability, helps others areas of R&D by avoiding product bottlenecks and shortens the time-to-market period. Model-based optimization strategies are helpful in doing so, but imperfect models with parametric or structural errors can lead to suboptimal operating conditions. In this work, a methodology that uses probabilistic tendency models that are constantly updated through experimental feedback is proposed in order to rapidly and efficiently find improved operating conditions. Characterization of the uncertainty is used to make safe predictions even with scarce data, which is typical in this early stage of process development. The methodology is tested with an example from the traditional innovative pharmaceutical industry. Fil: Luna, Martín Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina Fil: Martínez, Ernesto Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina

Details

Language :
English
Database :
OpenAIRE
Journal :
Brazilian Journal of Chemical Engineering v.35 n.3 2018, Brazilian Journal of Chemical Engineering, Associação Brasileira de Engenharia Química (ABEQ), instacron:ABEQ, CONICET Digital (CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas, instacron:CONICET, Brazilian Journal of Chemical Engineering, Vol 35, Iss 3, Pp 1063-1080
Accession number :
edsair.doi.dedup.....56be58a33c0f1c2302a6c031a007ccc2