Modeling of Solar Polygeneration Plant
In this work, a exergoeconomic analysis of the joint production of electricity, fresh water, cooling and process heat for a simulated concentrated solar power (CSP) based on parabolic trough collector (PTC) with thermal energy storage (TES) and backup energy system (BS), a multi-effect distillation...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | Chile |
| Idioma: | inglés |
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Modeling of Solar Polygeneration Plant |
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AIP Conference Proceedings |
| title |
Modeling of Solar Polygeneration Plant |
| spellingShingle |
Modeling of Solar Polygeneration Plant Leiva-Illanes, Roberto |
| title_short |
Modeling of Solar Polygeneration Plant |
| title_full |
Modeling of Solar Polygeneration Plant |
| title_fullStr |
Modeling of Solar Polygeneration Plant |
| title_full_unstemmed |
Modeling of Solar Polygeneration Plant |
| title_sort |
Modeling of Solar Polygeneration Plant |
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Leiva-Illanes, Roberto Escobar-Moragas, Rodrigo Alfonso Cardemil, Jose Miguel |
| author |
Leiva-Illanes, Roberto |
| author_facet |
Leiva-Illanes, Roberto Escobar-Moragas, Rodrigo Alfonso Cardemil, Jose Miguel |
| author_role |
author |
| author2 |
Escobar-Moragas, Rodrigo Alfonso Cardemil, Jose Miguel |
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author author |
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In this work, a exergoeconomic analysis of the joint production of electricity, fresh water, cooling and process heat for a simulated concentrated solar power (CSP) based on parabolic trough collector (PTC) with thermal energy storage (TES) and backup energy system (BS), a multi-effect distillation (MED) module, a refrigeration absorption module, and process heat module is carried out. Polygeneration plant is simulated in northern Chile in Crucero with a yearly total DNI of 3,389 kWh/m(2)/year. The methodology includes designing and modeling a polygeneration plant and applying exergoeconomic evaluations and calculating levelized cost. Solar polygeneration plant is simulated hourly, in a typical meteorological year, for different solar multiple and hour of storage. This study reveals that the total exergy cost rate of products (sum of exergy cost rate of electricity, water, cooling and heat process) is an alternative method to optimize a solar polygeneration plant. Keywords. KeyWords Plus:COOLING TECHNOLOGIES; ENERGY; POWER |
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2017 |
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2017 |
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2018-07-23T16:38:10Z 2022-07-07T15:05:06Z |
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2018-07-23T16:38:10Z 2022-07-07T15:05:06Z |
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Articulo |
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https://hdl.handle.net/10533/218890 |
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eng |
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eng |
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instname: Conicyt reponame: Repositorio Digital RI2.0 |
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10.1063/1.4984566 |
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https://doi.org/10.1063/1.4984566 |
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Cardemil, Jose MiguelEscobar-Moragas, Rodrigo AlfonsoLeiva-Illanes, Roberto201710.1063/1.4984566https://hdl.handle.net/10533/218890http://purl.org/coar/access_right/c_abf2Modeling of Solar Polygeneration PlantLeiva-Illanes, RobertoEscobar-Moragas, Rodrigo AlfonsoCardemil, Jose Miguel2018-07-23T16:38:10Z2022-07-07T15:05:06Z2018-07-23T16:38:10Z2022-07-07T15:05:06Z2017In this work, a exergoeconomic analysis of the joint production of electricity, fresh water, cooling and process heat for a simulated concentrated solar power (CSP) based on parabolic trough collector (PTC) with thermal energy storage (TES) and backup energy system (BS), a multi-effect distillation (MED) module, a refrigeration absorption module, and process heat module is carried out. Polygeneration plant is simulated in northern Chile in Crucero with a yearly total DNI of 3,389 kWh/m(2)/year. The methodology includes designing and modeling a polygeneration plant and applying exergoeconomic evaluations and calculating levelized cost. Solar polygeneration plant is simulated hourly, in a typical meteorological year, for different solar multiple and hour of storage. This study reveals that the total exergy cost rate of products (sum of exergy cost rate of electricity, water, cooling and heat process) is an alternative method to optimize a solar polygeneration plant. Keywords. KeyWords Plus:COOLING TECHNOLOGIES; ENERGY; POWER11306211130621virtual::28699-1WOS:000417377900241https://hdl.handle.net/10533/218890enginstname: Conicytreponame: Repositorio Digital RI2.010.1063/1.4984566info:eu-repo/grantAgreement//1130621info:eu-repo/semantics/dataset/hdl.handle.net/10533/93477https://doi.org/10.1063/1.4984566info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivs 3.0 Chilehttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/Modeling of Solar Polygeneration PlantAIP Conference ProceedingsArticuloinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttps://hdl.handle.net/10533/218890http://purl.org/coar/resource_type/c_2df8fbb177b2b52a-dc62-4cbb-a357-1e0ee6ab6d53virtual::28699-177b2b52a-dc62-4cbb-a357-1e0ee6ab6d53virtual::28699-1CC-LICENSElicense_rdfapplication/octet-stream1232https://repositorio.anid.cl/bitstreams/f686d1c4-7ccd-48b2-8551-abf2b86afa6c/downloadf97bcfdf58f3e17b5cec231112dab5b1MD51LICENSElicense.txttext/plain1779https://repositorio.anid.cl/bitstreams/dc4c8a7a-becb-4a4a-9890-1425c07997f2/download593a6e7305c66c56041a9f9e15a649c1MD5210533/218890oai:repositorio.anid.cl:10533/2188902023-07-24 17:40:13.9http://creativecommons.org/licenses/by-nc-nd/3.0/cl/info:eu-repo/semantics/openAccesshttps://repositorio.anid.clRepositorio ANIDaletelier@anid.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 |
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