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dc.creatorManassaldi, Juan Ignacio
dc.creatorMussati, Miguel Ceferino
dc.creatorIncer-Valverde, Jimena
dc.creatorMorosuk, Tatiana
dc.creatorMussati, Sergio Fabián
dc.date.accessioned2024-04-19T20:13:45Z
dc.date.available2024-04-19T20:13:45Z
dc.date.issued2023-12
dc.identifier.citationThe 16th Conference on Research and Development in Power Engineering, 28 November – 1 December 2023, Warsaw, Polandes_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12272/10604
dc.description.abstractResumen de artículo presentado en la Conferencia. This paper addresses the optimization of a dual-purpose desalination system based on a geothermal flash cycle, Kalina cycle, and a reverse osmosis seawater desalination plant. A nonlinear mathematical programming (NLP) optimization is developed and implemented in GAMS – general algebraic modeling system – which is a high-level modeling environment widely used in Process System Engineering PSE. CONOPT, which is a derivate-based optimization algorithm, is used as an NLP solver. Also, dynamic-link libraries (DLLs) are developed and implemented in the programming code C with the aim of rigorously calculating the thermodynamic properties of all process streams. The DLLs are systematically called from the GAMS environment. In addition, a solution strategy has been developed to facilitate model convergence. In this approach, several models are sequentially solved, starting with the simplest model progressing to solving a more complex model. As a result, the optimal sizing and operating conditions of all process units are simultaneously obtained. Finally, a sensitivity analysis of the key model parameters, electrical power, and freshwater demands on the optimization criterion is discussed. The proposed mathematical model is a powerful decision-making tool for the design and synthesis of integrated geothermal power and desalination processes, which can be used as either a simulator or an optimizer, depending on the number of freedom degrees specified by the user.es_ES
dc.formatpdfes_ES
dc.language.isoenges_ES
dc.rightsopenAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.rights.uriAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.subjectIngeniería de la energíaes_ES
dc.subjectEnergía geotérmicaes_ES
dc.subjectgeothermal energyes_ES
dc.subjectcombined cycle power plantes_ES
dc.titleRenewable energy-water nexus: optimal design of an integrated system including a single flash geothermal plant, kalina cycle and reverse Osmosis desalination unites_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.description.affiliationFil: Manassaldi, Juan Ignacio. Universidad Tecnológica Nacional (UTN). Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.es_ES
dc.description.affiliationFil: Mussati, Miguel Ceferino. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.es_ES
dc.description.affiliationFil: Incer-Valverde, Jimena. Technishe Universität Berlin. Instituto de Tecnología Energética ; Alemania,es_ES
dc.description.affiliationFil: Morosuk, Tatiana. Technishe Universität Berlin. Instituto de Tecnología Energética ; Alemania,es_ES
dc.description.affiliationFil: Mussati, Sergio Fabián. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.es_ES
dc.type.versionpublisherVersiones_ES
dc.rights.useAcceso abierto, con la mención de los autores.es_ES
dc.creator.orcid0009-0003-4386-4167es_ES
dc.creator.orcid0000-0002-6104-5179es_ES
dc.creator.orcid0000-0003-3611-3325es_ES
dc.creator.orcid0000-0003-2968-4293es_ES
dc.creator.orcid0000-0002-4132-0292es_ES


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