Membrane-Based Processes: Optimization of Hydrogen Separation by Minimization of Power, Membrane Area, and Cost

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Título: Membrane-Based Processes: Optimization of Hydrogen Separation by Minimization of Power, Membrane Area, and Cost
Autor/es: Mores, Patricia Liliana | Arias, Ana Marisa | Scenna, Nicolás José | Caballero, José A. | Mussati, Sergio Fabián | Mussati, Miguel Ceferino
Grupo/s de investigación o GITE: Computer Optimization of Chemical Engineering Processes and Technologies (CONCEPT)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Ingeniería Química
Palabras clave: H2 separation | Membranes | Multi-stage process | Optimization | Design | Operation | Cost | Membrane area | Energy | Mathematical programming | NLP | GAMS
Área/s de conocimiento: Ingeniería Química
Fecha de publicación: 12-nov-2018
Editor: MDPI
Cita bibliográfica: Mores PL, Arias AM, Scenna NJ, Caballero JA, Mussati SF, Mussati MC. Membrane-Based Processes: Optimization of Hydrogen Separation by Minimization of Power, Membrane Area, and Cost. Processes. 2018; 6(11):221. doi:10.3390/pr6110221
Resumen: This work deals with the optimization of two-stage membrane systems for H2 separation from off-gases in hydrocarbons processing plants to simultaneously attain high values of both H2 recovery and H2 product purity. First, for a given H2 recovery level of 90%, optimizations of the total annual cost (TAC) are performed for desired H2 product purity values ranging between 0.90 and 0.95 mole fraction. One of the results showed that the contribution of the operating expenditures is more significant than the contribution of the annualized capital expenditures (approximately 62% and 38%, respectively). In addition, it was found that the optimal trade-offs existing between process variables (such as total membrane area and total electric power) depend on the specified H2 product purity level. Second, the minimization of the total power demand and the minimization of the total membrane area were performed for H2 recovery of 90% and H2 product purity of 0.90. The TAC values obtained in the first and second cases increased by 19.9% and 4.9%, respectively, with respect to that obtained by cost minimization. Finally, by analyzing and comparing the three optimal solutions, a strategy to systematically and rationally provide ‘good’ lower and upper bounds for model variables and initial guess values to solve the cost minimization problem by means of global optimization algorithms is proposed, which can be straightforward applied to other processes.
Patrocinador/es: This work was supported by grants from CONICET (PIP 2014-2016 Nº 11220130100606CO) and ANPCyT (PICT Nº 2013-1980) from Argentina.
URI: http://hdl.handle.net/10045/83454
ISSN: 2227-9717
DOI: 10.3390/pr6110221
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Revisión científica: si
Versión del editor: https://doi.org/10.3390/pr6110221
Aparece en las colecciones:INV - CONCEPT - Artículos de Revistas

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