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 Fabian
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- 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. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería; Argentina
Fil: Mussati, Miguel Ceferino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Incer Valverde, Jimena. Technishe Universitat Berlin; Alemania
Fil: Morosuk, Tatiana. Technishe Universitat Berlin; Alemania
Fil: Mussati, Sergio Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
The 16th Conference on Research and Development in Power Engineering
Warsaw
Polonia
Warsaw University of Technology. Faculty of Power and Aeronautical Engineering. Institute of Heat Engineering
Polskiej Akademii Nauk. Komitet Problemów Energetyki
Warsaw University of Technology. Instytut Badań Stosowanych Politechniki Warszawskiej Sp. z o.o. - Materia
-
Geothermal energy
Combined cycle power plant
Desalination system
Optimization - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/235919
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 FabianGeothermal energyCombined cycle power plantDesalination systemOptimizationhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This 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. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería; ArgentinaFil: Mussati, Miguel Ceferino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Incer Valverde, Jimena. Technishe Universitat Berlin; AlemaniaFil: Morosuk, Tatiana. Technishe Universitat Berlin; AlemaniaFil: Mussati, Sergio Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaThe 16th Conference on Research and Development in Power EngineeringWarsawPoloniaWarsaw University of Technology. Faculty of Power and Aeronautical Engineering. Institute of Heat EngineeringPolskiej Akademii Nauk. Komitet Problemów EnergetykiWarsaw University of Technology. Instytut Badań Stosowanych Politechniki Warszawskiej Sp. z o.o.Warsaw University of Technology. Faculty of Power and Aeronautical Engineering. Institute of Heat Engineering2023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/235919Renewable Energy-Water Nexus: Optimal Design of an Integrated System including a Single Flash Geothermal Plant, Kalina Cycle and Reverse Osmosis Desalination Unit; The 16th Conference on Research and Development in Power Engineering; Warsaw; Polonia; 2023; 62-62CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.rdpe.itc.pw.edu.pl/boaInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:52:41Zoai:ri.conicet.gov.ar:11336/235919instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:52:41.774CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
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 Geothermal energy Combined cycle power plant Desalination system Optimization |
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 Fabian |
author |
Manassaldi, Juan Ignacio |
author_facet |
Manassaldi, Juan Ignacio Mussati, Miguel Ceferino Incer Valverde, Jimena Morosuk, Tatiana Mussati, Sergio Fabian |
author_role |
author |
author2 |
Mussati, Miguel Ceferino Incer Valverde, Jimena Morosuk, Tatiana Mussati, Sergio Fabian |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Geothermal energy Combined cycle power plant Desalination system Optimization |
topic |
Geothermal energy Combined cycle power plant Desalination system Optimization |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
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. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería; Argentina Fil: Mussati, Miguel Ceferino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina Fil: Incer Valverde, Jimena. Technishe Universitat Berlin; Alemania Fil: Morosuk, Tatiana. Technishe Universitat Berlin; Alemania Fil: Mussati, Sergio Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina The 16th Conference on Research and Development in Power Engineering Warsaw Polonia Warsaw University of Technology. Faculty of Power and Aeronautical Engineering. Institute of Heat Engineering Polskiej Akademii Nauk. Komitet Problemów Energetyki Warsaw University of Technology. Instytut Badań Stosowanych Politechniki Warszawskiej Sp. z o.o. |
description |
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. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject Conferencia Book http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
status_str |
publishedVersion |
format |
conferenceObject |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/235919 Renewable Energy-Water Nexus: Optimal Design of an Integrated System including a Single Flash Geothermal Plant, Kalina Cycle and Reverse Osmosis Desalination Unit; The 16th Conference on Research and Development in Power Engineering; Warsaw; Polonia; 2023; 62-62 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/235919 |
identifier_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; The 16th Conference on Research and Development in Power Engineering; Warsaw; Polonia; 2023; 62-62 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.rdpe.itc.pw.edu.pl/boa |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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openAccess |
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https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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application/pdf application/pdf |
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Internacional |
dc.publisher.none.fl_str_mv |
Warsaw University of Technology. Faculty of Power and Aeronautical Engineering. Institute of Heat Engineering |
publisher.none.fl_str_mv |
Warsaw University of Technology. Faculty of Power and Aeronautical Engineering. Institute of Heat Engineering |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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