Optimization of Cogeneration Power-Desalination Plants
The design of new dual-purpose thermal desalination plants is a combinatory problem because the optimal process configuration strongly depends on the desired targets of electricity and freshwater. This paper proposes a mathematical model for selecting the optimal structure, the operating conditions,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/22/8374 |
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| author | Ariana M. Pietrasanta Sergio F. Mussati Pio A. Aguirre Tatiana Morosuk Miguel C. Mussati |
| author_facet | Ariana M. Pietrasanta Sergio F. Mussati Pio A. Aguirre Tatiana Morosuk Miguel C. Mussati |
| author_sort | Ariana M. Pietrasanta |
| collection | DOAJ |
| description | The design of new dual-purpose thermal desalination plants is a combinatory problem because the optimal process configuration strongly depends on the desired targets of electricity and freshwater. This paper proposes a mathematical model for selecting the optimal structure, the operating conditions, and sizes of all system components of dual-purpose thermal desalination plants. Electricity is supposed to be generated by a combined-cycle heat and power plant (CCHPP) with the following candidate structures: (a) one or two gas turbines; (b) one or two additional burners in the heat recovery steam generator; (c) the presence or missing a medium-pressure steam turbine; (d) steam generation and reheating at low pressure. Freshwater is supposed to be obtained from two candidate thermal processes: and (e) a multi-effect distillation (MED) or a multi-stage flash (MSF) system. The number of effects in MED and stages in MSF are also discrete decisions. Different case studies are presented to show the applicability of the model for same cost data. The proposed model is a powerful tool in optimizing new plants (or plants under modernization) and/or improving existing plants for desired electricity generation and freshwater production. No articles addressing the optimization involving the discrete decisions mentioned above are found in the literature. |
| first_indexed | 2024-03-09T18:22:15Z |
| format | Article |
| id | doaj.art-2efcbf506df547e28e0354bf7a43cd5e |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T18:22:15Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2efcbf506df547e28e0354bf7a43cd5e2023-11-24T08:12:03ZengMDPI AGEnergies1996-10732022-11-011522837410.3390/en15228374Optimization of Cogeneration Power-Desalination PlantsAriana M. Pietrasanta0Sergio F. Mussati1Pio A. Aguirre2Tatiana Morosuk3Miguel C. Mussati4INGAR Instituto de Desarrollo y Diseño (CONICET-UTN), Avellaneda 3657, Santa Fe 3000, ArgentinaINGAR Instituto de Desarrollo y Diseño (CONICET-UTN), Avellaneda 3657, Santa Fe 3000, ArgentinaINGAR Instituto de Desarrollo y Diseño (CONICET-UTN), Avellaneda 3657, Santa Fe 3000, ArgentinaInstitute for Energy Engineering, Technishe Universität Berlin, Marchstrs. 18, 10623 Berlin, GermanyINGAR Instituto de Desarrollo y Diseño (CONICET-UTN), Avellaneda 3657, Santa Fe 3000, ArgentinaThe design of new dual-purpose thermal desalination plants is a combinatory problem because the optimal process configuration strongly depends on the desired targets of electricity and freshwater. This paper proposes a mathematical model for selecting the optimal structure, the operating conditions, and sizes of all system components of dual-purpose thermal desalination plants. Electricity is supposed to be generated by a combined-cycle heat and power plant (CCHPP) with the following candidate structures: (a) one or two gas turbines; (b) one or two additional burners in the heat recovery steam generator; (c) the presence or missing a medium-pressure steam turbine; (d) steam generation and reheating at low pressure. Freshwater is supposed to be obtained from two candidate thermal processes: and (e) a multi-effect distillation (MED) or a multi-stage flash (MSF) system. The number of effects in MED and stages in MSF are also discrete decisions. Different case studies are presented to show the applicability of the model for same cost data. The proposed model is a powerful tool in optimizing new plants (or plants under modernization) and/or improving existing plants for desired electricity generation and freshwater production. No articles addressing the optimization involving the discrete decisions mentioned above are found in the literature.https://www.mdpi.com/1996-1073/15/22/8374combined-cycle heat and power plantmulti-effect distillationdesalinationmuti-stage flash desalinationMINLPoptimization |
| spellingShingle | Ariana M. Pietrasanta Sergio F. Mussati Pio A. Aguirre Tatiana Morosuk Miguel C. Mussati Optimization of Cogeneration Power-Desalination Plants Energies combined-cycle heat and power plant multi-effect distillation desalination muti-stage flash desalination MINLP optimization |
| title | Optimization of Cogeneration Power-Desalination Plants |
| title_full | Optimization of Cogeneration Power-Desalination Plants |
| title_fullStr | Optimization of Cogeneration Power-Desalination Plants |
| title_full_unstemmed | Optimization of Cogeneration Power-Desalination Plants |
| title_short | Optimization of Cogeneration Power-Desalination Plants |
| title_sort | optimization of cogeneration power desalination plants |
| topic | combined-cycle heat and power plant multi-effect distillation desalination muti-stage flash desalination MINLP optimization |
| url | https://www.mdpi.com/1996-1073/15/22/8374 |
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