Renewable energy-water nexus: optimal design of an integrated system including a single flash geothermal plant, kalina cycle and reverse Osmosis desalination unit
- Autores
- Manassaldi, Juan Ignacio; Mussati, Miguel Ceferino; Incer-Valverde, Jimena; Morosuk, Tatiana; Mussati, Sergio Fabián
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Resumen 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.
Fil: Manassaldi, Juan Ignacio. Universidad Tecnológica Nacional (UTN). Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.
Fil: Mussati, Miguel Ceferino. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.
Fil: Incer-Valverde, Jimena. Technishe Universität Berlin. Instituto de Tecnología Energética ; Alemania,
Fil: Morosuk, Tatiana. Technishe Universität Berlin. Instituto de Tecnología Energética ; Alemania,
Fil: Mussati, Sergio Fabián. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina. - Materia
-
Ingeniería de la energía
Energía geotérmica
geothermal energy
combined cycle power plant - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- 2024-04-19T20:13:45Z
- Repositorio
.jpg)
- Institución
- Universidad Tecnológica Nacional
- OAI Identificador
- oai:ria.utn.edu.ar:20.500.12272/10604
Ver los metadatos del registro completo
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Renewable energy-water nexus: optimal design of an integrated system including a single flash geothermal plant, kalina cycle and reverse Osmosis desalination unitManassaldi, Juan IgnacioMussati, Miguel CeferinoIncer-Valverde, JimenaMorosuk, TatianaMussati, Sergio FabiánIngeniería de la energíaEnergía geotérmicageothermal energycombined cycle power plantResumen 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.Fil: Manassaldi, Juan Ignacio. Universidad Tecnológica Nacional (UTN). Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina.Fil: Mussati, Miguel Ceferino. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.Fil: Incer-Valverde, Jimena. Technishe Universität Berlin. Instituto de Tecnología Energética ; Alemania,Fil: Morosuk, Tatiana. Technishe Universität Berlin. Instituto de Tecnología Energética ; Alemania,Fil: Mussati, Sergio Fabián. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina.2024-04-19T20:13:45Z2024-04-19T20:13:45Z2023-12info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciapdfapplication/pdfThe 16th Conference on Research and Development in Power Engineering, 28 November – 1 December 2023, Warsaw, Polandhttp://hdl.handle.net/20.500.12272/10604enginfo:eu-repo/semantics/openAccess2024-04-19T20:13:45Zhttp://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 InternacionalAcceso abierto, con la mención de los autores.reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:44:52Zoai:ria.utn.edu.ar:20.500.12272/10604instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:44:53.523Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse |
| dc.title.none.fl_str_mv |
Renewable energy-water nexus: optimal design of an integrated system including a single flash geothermal plant, kalina cycle and reverse Osmosis desalination unit |
| title |
Renewable energy-water nexus: optimal design of an integrated system including a single flash geothermal plant, kalina cycle and reverse Osmosis desalination unit |
| spellingShingle |
Renewable energy-water nexus: optimal design of an integrated system including a single flash geothermal plant, kalina cycle and reverse Osmosis desalination unit Manassaldi, Juan Ignacio Ingeniería de la energía Energía geotérmica geothermal energy combined cycle power plant |
| title_short |
Renewable energy-water nexus: optimal design of an integrated system including a single flash geothermal plant, kalina cycle and reverse Osmosis desalination unit |
| title_full |
Renewable energy-water nexus: optimal design of an integrated system including a single flash geothermal plant, kalina cycle and reverse Osmosis desalination unit |
| title_fullStr |
Renewable energy-water nexus: optimal design of an integrated system including a single flash geothermal plant, kalina cycle and reverse Osmosis desalination unit |
| title_full_unstemmed |
Renewable energy-water nexus: optimal design of an integrated system including a single flash geothermal plant, kalina cycle and reverse Osmosis desalination unit |
| title_sort |
Renewable energy-water nexus: optimal design of an integrated system including a single flash geothermal plant, kalina cycle and reverse Osmosis desalination unit |
| dc.creator.none.fl_str_mv |
Manassaldi, Juan Ignacio Mussati, Miguel Ceferino Incer-Valverde, Jimena Morosuk, Tatiana Mussati, Sergio Fabián |
| author |
Manassaldi, Juan Ignacio |
| author_facet |
Manassaldi, Juan Ignacio Mussati, Miguel Ceferino Incer-Valverde, Jimena Morosuk, Tatiana Mussati, Sergio Fabián |
| author_role |
author |
| author2 |
Mussati, Miguel Ceferino Incer-Valverde, Jimena Morosuk, Tatiana Mussati, Sergio Fabián |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Ingeniería de la energía Energía geotérmica geothermal energy combined cycle power plant |
| topic |
Ingeniería de la energía Energía geotérmica geothermal energy combined cycle power plant |
| dc.description.none.fl_txt_mv |
Resumen 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. Fil: Manassaldi, Juan Ignacio. Universidad Tecnológica Nacional (UTN). Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Argentina. Fil: Mussati, Miguel Ceferino. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina. Fil: Incer-Valverde, Jimena. Technishe Universität Berlin. Instituto de Tecnología Energética ; Alemania, Fil: Morosuk, Tatiana. Technishe Universität Berlin. Instituto de Tecnología Energética ; Alemania, Fil: Mussati, Sergio Fabián. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto de Desarrollo y Diseño (INGAR) ; Argentina. |
| description |
Resumen 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. |
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2023 |
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2023-12 2024-04-19T20:13:45Z 2024-04-19T20:13:45Z |
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conferenceObject |
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The 16th Conference on Research and Development in Power Engineering, 28 November – 1 December 2023, Warsaw, Poland |
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http://hdl.handle.net/20.500.12272/10604 |
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2024-04-19T20:13:45Z http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional Acceso abierto, con la mención de los autores. |
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