Using statistical analysis to create a new database of Nanofluids' specific heat capacity

Nowadays, heat transfer fluids (HTFs) with high thermal properties are needed to develop more efficient and compact energy systems to achieve sustainable development goals. Nanofluids (NFs), through the incorporation of nanoparticles in conventional HTFs, become one of the most suitable techniques t...

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Autores: Svobodova Sedlackova, Adela, Calderón Díaz, Alejandro, Sanuy Morell, Xavier, Neira Viñas, Marc, Majó Robles, Marc, Barreneche, Camila, Gamallo, Pablo, Fernández Renna, Ana Inés
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2022
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/193666
Acceso en línea:https://hdl.handle.net/2445/193666
Access Level:acceso abierto
Palabra clave:Nanofluids
Nanopartícules
Nanoparticles
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spelling Using statistical analysis to create a new database of Nanofluids' specific heat capacitySvobodova Sedlackova, AdelaCalderón Díaz, AlejandroSanuy Morell, XavierNeira Viñas, MarcMajó Robles, MarcBarreneche, CamilaGamallo, PabloFernández Renna, Ana InésNanofluidsNanopartículesNanofluidsNanoparticlesNowadays, heat transfer fluids (HTFs) with high thermal properties are needed to develop more efficient and compact energy systems to achieve sustainable development goals. Nanofluids (NFs), through the incorporation of nanoparticles in conventional HTFs, become one of the most suitable techniques to improve their thermophysical properties. However, despite its potential industrial applications, there is not only a lack of a theoretical framework but also a clear trend about its behavior. Therefore, this work aims to perform a critical review and statistical analysis to understand the NFs heat capacity (Cp). To this end, a wide variety of NFs from the literature was processed using Principal Component Analysis (PCA) and Response Surface Methodology (RSM). Finally, a database with Ansys Granta Constructor 2021 software was created and an analysis with Ansys Granta Selector 2021 was performed. As a result, the key parameters that impact the Cp of several nanofluids are obtained as well as: their high-temperature dependence, the nature of the liquid medium, and the type of nanoparticles. In addition, the results allow to identify and design nanofluids with specific properties for specific working conditions.Elsevier B.V.2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2445/193666Articles publicats en revistes (Ciència dels Materials i Química Física)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésVersió postprint del document publicat a: https://doi.org/10.1016/j.molliq.2022.120847Journal of Molecular Liquids, 2022, vol. 369, p. 120847https://doi.org/10.1016/j.molliq.2022.120847cc-by-nc-nd (c) Elsevier B.V., 2022https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1936662026-05-27T06:46:51Z
dc.title.none.fl_str_mv Using statistical analysis to create a new database of Nanofluids' specific heat capacity
title Using statistical analysis to create a new database of Nanofluids' specific heat capacity
spellingShingle Using statistical analysis to create a new database of Nanofluids' specific heat capacity
Svobodova Sedlackova, Adela
Nanofluids
Nanopartícules
Nanofluids
Nanoparticles
title_short Using statistical analysis to create a new database of Nanofluids' specific heat capacity
title_full Using statistical analysis to create a new database of Nanofluids' specific heat capacity
title_fullStr Using statistical analysis to create a new database of Nanofluids' specific heat capacity
title_full_unstemmed Using statistical analysis to create a new database of Nanofluids' specific heat capacity
title_sort Using statistical analysis to create a new database of Nanofluids' specific heat capacity
dc.creator.none.fl_str_mv Svobodova Sedlackova, Adela
Calderón Díaz, Alejandro
Sanuy Morell, Xavier
Neira Viñas, Marc
Majó Robles, Marc
Barreneche, Camila
Gamallo, Pablo
Fernández Renna, Ana Inés
author Svobodova Sedlackova, Adela
author_facet Svobodova Sedlackova, Adela
Calderón Díaz, Alejandro
Sanuy Morell, Xavier
Neira Viñas, Marc
Majó Robles, Marc
Barreneche, Camila
Gamallo, Pablo
Fernández Renna, Ana Inés
author_role author
author2 Calderón Díaz, Alejandro
Sanuy Morell, Xavier
Neira Viñas, Marc
Majó Robles, Marc
Barreneche, Camila
Gamallo, Pablo
Fernández Renna, Ana Inés
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Nanofluids
Nanopartícules
Nanofluids
Nanoparticles
topic Nanofluids
Nanopartícules
Nanofluids
Nanoparticles
description Nowadays, heat transfer fluids (HTFs) with high thermal properties are needed to develop more efficient and compact energy systems to achieve sustainable development goals. Nanofluids (NFs), through the incorporation of nanoparticles in conventional HTFs, become one of the most suitable techniques to improve their thermophysical properties. However, despite its potential industrial applications, there is not only a lack of a theoretical framework but also a clear trend about its behavior. Therefore, this work aims to perform a critical review and statistical analysis to understand the NFs heat capacity (Cp). To this end, a wide variety of NFs from the literature was processed using Principal Component Analysis (PCA) and Response Surface Methodology (RSM). Finally, a database with Ansys Granta Constructor 2021 software was created and an analysis with Ansys Granta Selector 2021 was performed. As a result, the key parameters that impact the Cp of several nanofluids are obtained as well as: their high-temperature dependence, the nature of the liquid medium, and the type of nanoparticles. In addition, the results allow to identify and design nanofluids with specific properties for specific working conditions.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/193666
url https://hdl.handle.net/2445/193666
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1016/j.molliq.2022.120847
Journal of Molecular Liquids, 2022, vol. 369, p. 120847
https://doi.org/10.1016/j.molliq.2022.120847
dc.rights.none.fl_str_mv cc-by-nc-nd (c) Elsevier B.V., 2022
https://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by-nc-nd (c) Elsevier B.V., 2022
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Articles publicats en revistes (Ciència dels Materials i Química Física)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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