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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/235919

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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 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
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.coverage.none.fl_str_mv 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
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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