Título: Computers and Chemical EngineeringImportada do Authenticus Pesquisar Publicações da Revista

Vol. 60 Nº JAN 10 2014

Páginas: 86-101

ISSN: 0098-1354

Editora: Elsevier

ISI Web of Knowledge - 41 Citações

Scopus - 112 Citações

INSPEC

FOS: Ciências da engenharia e tecnologias > Engenharia química

ID Authenticus: P-008-E6E

DOI: 10.1016/j.compchemeng.2013.08.008

Abstract (EN): Hybrid semi-parametric models consist of model structures that combine parametric and nonparametric submodels based on different knowledge sources. The development of a hybrid semi-parametric model can offer several advantages over traditional mechanistic or data-driven modeling, as reviewed in this paper. These advantages, such as broader knowledge base, transparency of the modeling approach and cost-effective model development, have been widely recognized, not only in academia but also in the industry. In this paper, the most common hybrid semi-parametric modeling and parameter identification techniques are revisited. Applications in the areas of (bio)chemical engineering for process monitoring, control, optimization, scale-up and model-reduction are reviewed. It is outlined that the application of hybrid semi-parametric techniques does not automatically lead into better results but that rational knowledge integration has potential to significantly improve model-based process operation and design.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 16