Numerical model for determining the effective heat capacity of macroencapsulated PCM for building applications

This paper presents a finite difference model of macroencapsulated PCM panels coupled with the genetic algorithm for the determination of effective heat capacity of whole panels via inverse method. This provides an accurate characterization of the thermal properties of macroencapsulated PCMs for bui...

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Autores: Álvarez Rodríguez, Matías|||0000-0003-2391-9733, Alonso Martínez, Mar, Suárez Ramón, Inés María, García Nieto, Paulino José|||0000-0001-8880-6348
Formato: artículo
Fecha de publicación:2024
País:España
Recursos:Universidad de Oviedo (UNIOVI)
Repositorio:RUO. Repositorio Institucional de la Universidad de Oviedo
Idioma:inglés
OAI Identifier:oai:digibuo.uniovi.es:10651/71003
Acesso em linha:https://hdl.handle.net/10651/71003
https://dx.doi.org/10.1016/j.applthermaleng.2024.122478
Access Level:acceso abierto
Palavra-chave:Inverse Method
Genetic Algorithm
Effective heat capacity
Building Material
Phase change modeling
Macroencapsulated phase change material
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spelling Numerical model for determining the effective heat capacity of macroencapsulated PCM for building applicationsÁlvarez Rodríguez, Matías|||0000-0003-2391-9733Alonso Martínez, MarSuárez Ramón, Inés MaríaGarcía Nieto, Paulino José|||0000-0001-8880-6348Inverse MethodGenetic AlgorithmEffective heat capacityBuilding MaterialPhase change modelingMacroencapsulated phase change materialThis paper presents a finite difference model of macroencapsulated PCM panels coupled with the genetic algorithm for the determination of effective heat capacity of whole panels via inverse method. This provides an accurate characterization of the thermal properties of macroencapsulated PCMs for building envelope applications. A novel definition of the effective heat capacity is proposed based on the superimposition of two Gaussian curves, applicable to any PCM whose phase transition is characterized by a single peak. Three PCMs were tested, subjected to temperature variation rates typically experienced in building envelopes: 0.5 °C/h and 1 °C/h. Surface temperature and heat flux were measured and used in the inverse method procedure. The developed model is accurate, as numerical results greatly agree with the experiments: the root mean square difference between the experimental and numerical heat fluxes ranged between 0.543 and 1.246 W/m2. Significant differences in the effective heat capacity were found between the whole macrocapsule and small quantities of PCM (specified in the datasheets). The effective heat capacity specified in the datasheets is sensibly greater than that of the whole macrocapsules determined through the inverse method: the specific heat in the solid phase was up to 107.39 % higher in the datasheet values, the specific heat in the liquid phase up to 184.04 %, and the peak effective heat capacity, between 18.28 % and 164.11 %. The same happened to the enthalpy: datasheet values were 61.24 % – 175.55 % greater than inverse method results. This proves that latent heat is overestimated if small quantities of PCM are analyzed, and not the whole panels. The scale effect was assessed by comparing two capsules with the same material, but with different quantities of PCM: 0.5 kg and 1 kg. A greater mass of PCM over the total mass of the capsule implies a different relationship between the effective heat capacity and temperature, with higher peak heat capacity. The capsule with 1 kg of PCM showed a peak effective heat capacity up to 30.65 % greater than that of the panel with 0.5 kg of PCM. Thus, adequate modeling in building applications requires characterization of whole macroencapsulated PCMs. The determination of the relationship between temperature and effective heat capacity of macroencapsulated PCMs presented in this work could easily be incorporated into other simulation software, facilitating the assessment of adaptive envelopes with PCM macrocapsules.Este artículo ha recibido financiación del Ministerio de Universidades a través de un contrato FPU (FPU21/05062); Ministerio de Ciencia e Innovación a través de un proyecto del Plan Nacional (PID2021- 128056OA-I00) y Red Temática (RED2022-134219-T); y Fundación para el Fomento en Asturias de la Investigación Científica Aplicada y la Tecnología a través de un proyecto GRUPIN (SV-PA-21-AYUD 2021 51328).Elsevier20242024-01-19journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttps://hdl.handle.net/10651/71003https://dx.doi.org/10.1016/j.applthermaleng.2024.122478reponame:RUO. Repositorio Institucional de la Universidad de Oviedoinstname:Universidad de Oviedo (UNIOVI)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:digibuo.uniovi.es:10651/710032026-06-07T06:38:51Z
dc.title.none.fl_str_mv Numerical model for determining the effective heat capacity of macroencapsulated PCM for building applications
title Numerical model for determining the effective heat capacity of macroencapsulated PCM for building applications
spellingShingle Numerical model for determining the effective heat capacity of macroencapsulated PCM for building applications
Álvarez Rodríguez, Matías|||0000-0003-2391-9733
Inverse Method
Genetic Algorithm
Effective heat capacity
Building Material
Phase change modeling
Macroencapsulated phase change material
title_short Numerical model for determining the effective heat capacity of macroencapsulated PCM for building applications
title_full Numerical model for determining the effective heat capacity of macroencapsulated PCM for building applications
title_fullStr Numerical model for determining the effective heat capacity of macroencapsulated PCM for building applications
title_full_unstemmed Numerical model for determining the effective heat capacity of macroencapsulated PCM for building applications
title_sort Numerical model for determining the effective heat capacity of macroencapsulated PCM for building applications
dc.creator.none.fl_str_mv Álvarez Rodríguez, Matías|||0000-0003-2391-9733
Alonso Martínez, Mar
Suárez Ramón, Inés María
García Nieto, Paulino José|||0000-0001-8880-6348
author Álvarez Rodríguez, Matías|||0000-0003-2391-9733
author_facet Álvarez Rodríguez, Matías|||0000-0003-2391-9733
Alonso Martínez, Mar
Suárez Ramón, Inés María
García Nieto, Paulino José|||0000-0001-8880-6348
author_role author
author2 Alonso Martínez, Mar
Suárez Ramón, Inés María
García Nieto, Paulino José|||0000-0001-8880-6348
author2_role author
author
author
dc.subject.none.fl_str_mv Inverse Method
Genetic Algorithm
Effective heat capacity
Building Material
Phase change modeling
Macroencapsulated phase change material
topic Inverse Method
Genetic Algorithm
Effective heat capacity
Building Material
Phase change modeling
Macroencapsulated phase change material
description This paper presents a finite difference model of macroencapsulated PCM panels coupled with the genetic algorithm for the determination of effective heat capacity of whole panels via inverse method. This provides an accurate characterization of the thermal properties of macroencapsulated PCMs for building envelope applications. A novel definition of the effective heat capacity is proposed based on the superimposition of two Gaussian curves, applicable to any PCM whose phase transition is characterized by a single peak. Three PCMs were tested, subjected to temperature variation rates typically experienced in building envelopes: 0.5 °C/h and 1 °C/h. Surface temperature and heat flux were measured and used in the inverse method procedure. The developed model is accurate, as numerical results greatly agree with the experiments: the root mean square difference between the experimental and numerical heat fluxes ranged between 0.543 and 1.246 W/m2. Significant differences in the effective heat capacity were found between the whole macrocapsule and small quantities of PCM (specified in the datasheets). The effective heat capacity specified in the datasheets is sensibly greater than that of the whole macrocapsules determined through the inverse method: the specific heat in the solid phase was up to 107.39 % higher in the datasheet values, the specific heat in the liquid phase up to 184.04 %, and the peak effective heat capacity, between 18.28 % and 164.11 %. The same happened to the enthalpy: datasheet values were 61.24 % – 175.55 % greater than inverse method results. This proves that latent heat is overestimated if small quantities of PCM are analyzed, and not the whole panels. The scale effect was assessed by comparing two capsules with the same material, but with different quantities of PCM: 0.5 kg and 1 kg. A greater mass of PCM over the total mass of the capsule implies a different relationship between the effective heat capacity and temperature, with higher peak heat capacity. The capsule with 1 kg of PCM showed a peak effective heat capacity up to 30.65 % greater than that of the panel with 0.5 kg of PCM. Thus, adequate modeling in building applications requires characterization of whole macroencapsulated PCMs. The determination of the relationship between temperature and effective heat capacity of macroencapsulated PCMs presented in this work could easily be incorporated into other simulation software, facilitating the assessment of adaptive envelopes with PCM macrocapsules.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-19
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10651/71003
https://dx.doi.org/10.1016/j.applthermaleng.2024.122478
url https://hdl.handle.net/10651/71003
https://dx.doi.org/10.1016/j.applthermaleng.2024.122478
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUO. Repositorio Institucional de la Universidad de Oviedo
instname:Universidad de Oviedo (UNIOVI)
instname_str Universidad de Oviedo (UNIOVI)
reponame_str RUO. Repositorio Institucional de la Universidad de Oviedo
collection RUO. Repositorio Institucional de la Universidad de Oviedo
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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