Novel sampling procedure and statistical analysis for the thermal characterization of ionic nanofluids

An efficient storage system is crucial for the effective implementation of renewable energies in the energy ecosystem, required to mitigate the climate change and to reach the European Green Deal. Nanofluids features improved thermal properties, being able to store unexpected amount of energy by add...

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Autores: Svobodova Sedlackova, Adela, Barreneche, Camila, Gamallo Belmonte, Pablo, Fernández Renna, Ana Inés
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/184240
Acceso en línea:https://hdl.handle.net/2445/184240
Access Level:acceso abierto
Palabra clave:Nanofluids
Nanopartícules
Emmagatzematge d'energia
Nanoparticles
Storage of energy
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spelling Novel sampling procedure and statistical analysis for the thermal characterization of ionic nanofluidsSvobodova Sedlackova, AdelaBarreneche, CamilaGamallo Belmonte, PabloFernández Renna, Ana InésNanofluidsNanopartículesEmmagatzematge d'energiaNanofluidsNanoparticlesStorage of energyAn efficient storage system is crucial for the effective implementation of renewable energies in the energy ecosystem, required to mitigate the climate change and to reach the European Green Deal. Nanofluids features improved thermal properties, being able to store unexpected amount of energy by adding around 1 wt% nanoparticles at the base fluid. Therefore, nanofluids become more attractive for their implementation as Thermal Energy Storage (TES) medium or Heat Transfer Fluid (HTF). However, the main drawbacks of nanofluids are the lack of consensus on a theoretical explanation of this behaviour, and the controversial lack of uniformity of the thermophysical experimental results in the literature. The goal of this work is to develop and perform a study of the thermophysical properties of several nanofluid samples and the subsequent statistical analysis. To achieve this objective, three batches of 24- samples were analysed: NaNO3 based nanofluids with three types of nanoparticles (1% wt.): SiO2, Al2O3 and clay. The statistical analysis indicates that nanoparticles have a low impact in the melting enthalpy and melting temperature and a strong impact in the specific heat capacity (Cp). The most remarkable result is the high dispersion of Cp values despite considering the sampling procedure. This fact agrees with the high variability of results found in the literature. Finally, the methodology proposed in this work may facilitate the comparison among measured results and literature results.Elsevier B.V.2022202220212022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/184240Articles publicats en revistes (Ciència dels Materials i Química Física)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.1016/j.molliq.2021.118316Journal of Molecular Liquids, 2021, vol. 347, p. 118316https://doi.org/10.1016/j.molliq.2021.118316cc-by-nc-nd (c) Svobodova Sedlackova, Adela, et al., 2021https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1842402026-05-29T05:05:01Z
dc.title.none.fl_str_mv Novel sampling procedure and statistical analysis for the thermal characterization of ionic nanofluids
title Novel sampling procedure and statistical analysis for the thermal characterization of ionic nanofluids
spellingShingle Novel sampling procedure and statistical analysis for the thermal characterization of ionic nanofluids
Svobodova Sedlackova, Adela
Nanofluids
Nanopartícules
Emmagatzematge d'energia
Nanofluids
Nanoparticles
Storage of energy
title_short Novel sampling procedure and statistical analysis for the thermal characterization of ionic nanofluids
title_full Novel sampling procedure and statistical analysis for the thermal characterization of ionic nanofluids
title_fullStr Novel sampling procedure and statistical analysis for the thermal characterization of ionic nanofluids
title_full_unstemmed Novel sampling procedure and statistical analysis for the thermal characterization of ionic nanofluids
title_sort Novel sampling procedure and statistical analysis for the thermal characterization of ionic nanofluids
dc.creator.none.fl_str_mv Svobodova Sedlackova, Adela
Barreneche, Camila
Gamallo Belmonte, Pablo
Fernández Renna, Ana Inés
author Svobodova Sedlackova, Adela
author_facet Svobodova Sedlackova, Adela
Barreneche, Camila
Gamallo Belmonte, Pablo
Fernández Renna, Ana Inés
author_role author
author2 Barreneche, Camila
Gamallo Belmonte, Pablo
Fernández Renna, Ana Inés
author2_role author
author
author
dc.subject.none.fl_str_mv Nanofluids
Nanopartícules
Emmagatzematge d'energia
Nanofluids
Nanoparticles
Storage of energy
topic Nanofluids
Nanopartícules
Emmagatzematge d'energia
Nanofluids
Nanoparticles
Storage of energy
description An efficient storage system is crucial for the effective implementation of renewable energies in the energy ecosystem, required to mitigate the climate change and to reach the European Green Deal. Nanofluids features improved thermal properties, being able to store unexpected amount of energy by adding around 1 wt% nanoparticles at the base fluid. Therefore, nanofluids become more attractive for their implementation as Thermal Energy Storage (TES) medium or Heat Transfer Fluid (HTF). However, the main drawbacks of nanofluids are the lack of consensus on a theoretical explanation of this behaviour, and the controversial lack of uniformity of the thermophysical experimental results in the literature. The goal of this work is to develop and perform a study of the thermophysical properties of several nanofluid samples and the subsequent statistical analysis. To achieve this objective, three batches of 24- samples were analysed: NaNO3 based nanofluids with three types of nanoparticles (1% wt.): SiO2, Al2O3 and clay. The statistical analysis indicates that nanoparticles have a low impact in the melting enthalpy and melting temperature and a strong impact in the specific heat capacity (Cp). The most remarkable result is the high dispersion of Cp values despite considering the sampling procedure. This fact agrees with the high variability of results found in the literature. Finally, the methodology proposed in this work may facilitate the comparison among measured results and literature results.
publishDate 2021
dc.date.none.fl_str_mv 2021
2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/184240
url https://hdl.handle.net/2445/184240
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1016/j.molliq.2021.118316
Journal of Molecular Liquids, 2021, vol. 347, p. 118316
https://doi.org/10.1016/j.molliq.2021.118316
dc.rights.none.fl_str_mv cc-by-nc-nd (c) Svobodova Sedlackova, Adela, et al., 2021
https://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by-nc-nd (c) Svobodova Sedlackova, Adela, et al., 2021
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:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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