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dc.contributor.author
Pedrozo, Hector Alejandro
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Rodriguez Reartes, Sabrina Belen
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Chen, Q.
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Díaz, María Soledad
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Grossmann, Ignacio E.
dc.date.available
2021-02-11T20:58:27Z
dc.date.issued
2020-10-04
dc.identifier.citation
Pedrozo, Hector Alejandro; Rodriguez Reartes, Sabrina Belen; Chen, Q.; Díaz, María Soledad; Grossmann, Ignacio E.; Surrogate-model based MILP for the optimal design of ethylene production from shale gas; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 141; 4-10-2020; 1-20; 107015
dc.identifier.issn
0098-1354
dc.identifier.uri
http://hdl.handle.net/11336/125518
dc.description.abstract
We propose a novel algorithm for the optimal design of entire plants by refining piecewise linear surrogate models within an iterative framework. We apply this strategy to a superstructure for ethane-based ethylene production, including steam cracking and alternative technologies, and the separation, utility, carbon dioxide and hydrogen recovery systems. Multivariable piecewise linear surrogate models (SM) based on rigorous Aspen Plus models and capital cost correlations are obtained by solving Generalized Disjunctive Programming problems. Using these surrogates, a Master MILP problem is formulated to determine the optimal design. If convergence criteria are not met, SM are progressively refined in subsequent iterations. The optimal solution is the chemical looping oxidative dehydrogenation technology, whose net present value (NPV) is 12% higher than that of conventional steam cracking, while reducing the ethylene production cost by 15%. Finally, we validate the optimal design with Aspen Plus, obtaining an NPV error of less than 1%.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Pergamon-Elsevier Science Ltd
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ETHYLENE PRODUCTION
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OXIDATIVE DEHYDROGENATION
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PIECEWISE LINEAR FUNCTION
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STEAM CRACKING
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SUPERSTRUCTURE OPTIMIZATION
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SURROGATE MODELS
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Ingeniería de Procesos Químicos
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Ingeniería Química
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INGENIERÍAS Y TECNOLOGÍAS
dc.title
Surrogate-model based MILP for the optimal design of ethylene production from shale gas
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-10-06T17:51:01Z
dc.journal.volume
141
dc.journal.pagination
1-20; 107015
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Massachusetts
dc.description.fil
Fil: Pedrozo, Hector Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.description.fil
Fil: Rodriguez Reartes, Sabrina Belen. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería Química; Argentina
dc.description.fil
Fil: Chen, Q.. University of Carnegie Mellon. Department of Chemical Engineering; Estados Unidos
dc.description.fil
Fil: Díaz, María Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería Química; Argentina
dc.description.fil
Fil: Grossmann, Ignacio E.. University of Carnegie Mellon. Department of Chemical Engineering; Estados Unidos
dc.journal.title
Computers and Chemical Engineering
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0098135420303434
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.compchemeng.2020.107015
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