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MODEL-BASED RUN-TO-RUN OPTIMIZATION FOR PROCESS DEVELOPMENT
- 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
- Subjects :
- Process development
Engineering
Modeling for optimization
Ingeniería de Procesos Químicos
business.industry
General Chemical Engineering
lcsh:TP155-156
INGENIERÍAS Y TECNOLOGÍAS
02 engineering and technology
010402 general chemistry
01 natural sciences
Experimental design
0104 chemical sciences
Ingeniería Química
purl.org/becyt/ford/2.4 [https]
020401 chemical engineering
purl.org/becyt/ford/2 [https]
0204 chemical engineering
lcsh:Chemical engineering
business
Process system engineering
Humanities
Subjects
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