Integration of different models in the design of chemical processes: Application to the design of a power plant

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Title: Integration of different models in the design of chemical processes: Application to the design of a power plant
Authors: Caballero, José A. | Navarro Amorós, Miguel Ángel | Ruiz-Femenia, Rubén | Grossmann, Ignacio E.
Research Group/s: Computer Optimization of Chemical Engineering Processes and Technologies (CONCEPT)
Center, Department or Service: Universidad de Alicante. Departamento de Ingeniería Química
Keywords: Process synthesis | Generalized Disjunctive Programming | Utility systems | Modular optimization | Kriging
Knowledge Area: Ingeniería Química
Issue Date: 1-Jul-2014
Publisher: Elsevier
Citation: Applied Energy. 2014, 124: 256-273. doi:10.1016/j.apenergy.2014.03.018
Abstract: With advances in the synthesis and design of chemical processes there is an increasing need for more complex mathematical models with which to screen the alternatives that constitute accurate and reliable process models. Despite the wide availability of sophisticated tools for simulation, optimization and synthesis of chemical processes, the user is frequently interested in using the ‘best available model’. However, in practice, these models are usually little more than a black box with a rigid input–output structure. In this paper we propose to tackle all these models using generalized disjunctive programming to capture the numerical characteristics of each model (in equation form, modular, noisy, etc.) and to deal with each of them according to their individual characteristics. The result is a hybrid modular–equation based approach that allows synthesizing complex processes using different models in a robust and reliable way. The capabilities of the proposed approach are discussed with a case study: the design of a utility system power plant that has been decomposed into its constitutive elements, each treated differently numerically. And finally, numerical results and conclusions are presented.
Sponsor: Spanish Ministry of Science and Innovation (CTQ2012-37039-C02-02).
ISSN: 0306-2619 (Print) | 1872-9118 (Online)
DOI: 10.1016/j.apenergy.2014.03.018
Language: eng
Type: info:eu-repo/semantics/article
Peer Review: si
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Appears in Collections:INV - CONCEPT - Artículos de Revistas

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