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RDF description of A systematic synthesis and design methodology to achieve process intensification in (bio) chemical processes - http://orbis.uaslp.mx/vivo/individual/scopus2947
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date: 2026-08-27T05:46:31
publisher: vivo
type: Document

Computers and Chemical Engineering
type: Continuant
type: Periodical
publication venue for: A systematic synthesis and design methodology to achieve process intensification in (bio) chemical processes
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type: Document
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Article
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A systematic synthesis and design methodology to achieve process intensification in (bio) chemical processes
date time value: article date 2948
crisid: 2948
type: Document
related by: authorship_17239
page start: 189
volume: 36
type: Continuant
page end: 207
related by: authorship_17238
abstract: Process intensification (PI) has the potential to improve existing processes or create new process options, which are needed in order to produce products using more sustainable methods. In principle, an enormous number of process options can be generated but where and how the process should be intensified for the biggest improvement is difficult to identify. In this paper the development of a systematic computer aided model-based synthesis and design methodology incorporating PI is presented. In order to manage the complexities involved, the methodology employs a decomposition-based solution approach. Starting from an analysis of existing processes, the methodology generates a set of process options and reduces their number through several screening steps until from the remaining options, the optimal is found. The application of the methodology is highlighted through a case study involving the chemo-enzymatic synthesis of N-acetyl-d-neuraminic acid (Neu5Ac). © 2011 Elsevier Ltd.
type: Generically Dependent Continuant
most specific type: Document
type: Article
type: Information Content Entity
issue: 1
freetext keyword: Knowledge base; Methodology; Process intensification; Process synthesis Chemical process; Chemo-enzymatic synthesis; Computer aided; Design Methodology; Knowledge base; Methodology; Process intensification; Process synthesis; Solution approach; Chemical engineering; Computer applications; Knowledge based systems
e iscopus: 2-s2.0-84855946134
most specific type: Article
related by: authorship_17241
accesstype: All Open Access, Green
doi: 10.1016/j.compchemeng.2011.08.005
has publication venue: Computers and Chemical Engineering
related by: authorship_17240
origen: scopus
estado: published
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type: Entity

Information Content Entity
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