Simulation-based optimization of PCM melting temperature to improve the energy performance in buildings

Globally, a considerable amount of energy is consumed by the building sector. The building envelope can highly influence the energy consumption in buildings. In this regard, innovative technologies such as thermal energy storage (TES) can help to boost the energy efficiency and to reduce the CO2 emi...

Descripción completa

Detalles Bibliográficos
Autores: Saffari Tabalvandani, Mohammad, Gracia Cuesta, Alvaro de, Fernàndez Camon, César, Cabeza, Luisa F.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2017
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:10459.1/59645
Acceso en línea:https://doi.org/10.1016/j.apenergy.2017.05.107
http://hdl.handle.net/10459.1/59645
Access Level:acceso abierto
Palabra clave:Passive cooling
GenOpt
Building energy simulation
PCM optimum melting
id ES_d0f6ab69383587fb78e86c7ddb0e4e9d
oai_identifier_str oai:recercat.cat:10459.1/59645
network_acronym_str ES
network_name_str España
repository_id_str
spelling Simulation-based optimization of PCM melting temperature to improve the energy performance in buildingsSaffari Tabalvandani, MohammadGracia Cuesta, Alvaro deFernàndez Camon, CésarCabeza, Luisa F.Passive coolingGenOptBuilding energy simulationPCM optimum meltingGlobally, a considerable amount of energy is consumed by the building sector. The building envelope can highly influence the energy consumption in buildings. In this regard, innovative technologies such as thermal energy storage (TES) can help to boost the energy efficiency and to reduce the CO2 emissions in this sector. The use of phase change materials (PCM), due to its high heat capacity, has been the centre of attention of many researchers. A considerable number of papers have been published on the application of PCM as passive system in building envelopes. Researches have shown that choosing the PCM melting temperature in different climate conditions is a key factor to improve the energy performance in buildings. In the present paper, a simulation-based optimization methodology will be presented by coupling EnergyPlus and GenOpt with an innovative enthalpy-temperature (h-T) function to define the optimum PCM peak melting temperature to enhance the cooling, heating, and the annual total heating and cooling energy performance of a residential building in various climate conditions based on Köppen-Geiger classification. Results show that in a cooling dominant climate the best PCM melting temperature to reduce the annual energy consumption is close to the maximum of 26ºC (melting range of 24ºC-28ºC), whereas in heating dominant climates PCM with lower melting temperature of 20ºC (melting range of 18ºC-22ºC) yields higher annual energy benefits. Moreover, it was found that the proper selection of PCM melting temperature in each climate zone can lead to notable energy savings for cooling energy consumption, heating energy consumption, and total annual energy consumption.The work is partially funded by the Spanish government (ENE2015-64117-C5-1-R (MINECO/FEDER) and ENE2015-64117-C5-3-R (MINECO/FEDER)). The authors would like to thank the Catalan Government for the quality accreditation given to their research group GREA (2014 SGR 123). GREA is certified agent TECNIO in the category of technology developers from the Government of Catalonia. This project has received funding from the European Commission Seventh Framework Program (FP/2007-2013) under Grant agreement Nº PIRSES-GA-2013-610692 (INNOSTORAGE) and from the European Union’s Horizon 2020 research and innovation program under grant agreement No 657466 (INPATH-TES). Alvaro de Gracia would like to thank Ministerio de Economia y Competitividad de España for Grant Juan de la Cierva, FJCI-2014-19940.Elsevier2017201920172017info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://doi.org/10.1016/j.apenergy.2017.05.107http://hdl.handle.net/10459.1/59645http://hdl.handle.net/10459.1/59645reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/grantAgreement/MINECO//ENE2015-64117-C5-1-Rinfo:eu-repo/grantAgreement/MINECO//ENE2015-64117-C5-3-RVersió postprint del document publicat a https://doi.org/10.1016/j.apenergy.2017.05.107Applied Energy, 2017, vol. 202, p. 420-434info:eu-repo/grantAgreement/EC/H2020/657466info:eu-repo/grantAgreement/EC/FP7/610692cc-by-nc-nd (c) Elsevier, 2017info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/oai:recercat.cat:10459.1/596452026-05-29T05:05:01Z
dc.title.none.fl_str_mv Simulation-based optimization of PCM melting temperature to improve the energy performance in buildings
title Simulation-based optimization of PCM melting temperature to improve the energy performance in buildings
spellingShingle Simulation-based optimization of PCM melting temperature to improve the energy performance in buildings
Saffari Tabalvandani, Mohammad
Passive cooling
GenOpt
Building energy simulation
PCM optimum melting
title_short Simulation-based optimization of PCM melting temperature to improve the energy performance in buildings
title_full Simulation-based optimization of PCM melting temperature to improve the energy performance in buildings
title_fullStr Simulation-based optimization of PCM melting temperature to improve the energy performance in buildings
title_full_unstemmed Simulation-based optimization of PCM melting temperature to improve the energy performance in buildings
title_sort Simulation-based optimization of PCM melting temperature to improve the energy performance in buildings
dc.creator.none.fl_str_mv Saffari Tabalvandani, Mohammad
Gracia Cuesta, Alvaro de
Fernàndez Camon, César
Cabeza, Luisa F.
author Saffari Tabalvandani, Mohammad
author_facet Saffari Tabalvandani, Mohammad
Gracia Cuesta, Alvaro de
Fernàndez Camon, César
Cabeza, Luisa F.
author_role author
author2 Gracia Cuesta, Alvaro de
Fernàndez Camon, César
Cabeza, Luisa F.
author2_role author
author
author
dc.subject.none.fl_str_mv Passive cooling
GenOpt
Building energy simulation
PCM optimum melting
topic Passive cooling
GenOpt
Building energy simulation
PCM optimum melting
description Globally, a considerable amount of energy is consumed by the building sector. The building envelope can highly influence the energy consumption in buildings. In this regard, innovative technologies such as thermal energy storage (TES) can help to boost the energy efficiency and to reduce the CO2 emissions in this sector. The use of phase change materials (PCM), due to its high heat capacity, has been the centre of attention of many researchers. A considerable number of papers have been published on the application of PCM as passive system in building envelopes. Researches have shown that choosing the PCM melting temperature in different climate conditions is a key factor to improve the energy performance in buildings. In the present paper, a simulation-based optimization methodology will be presented by coupling EnergyPlus and GenOpt with an innovative enthalpy-temperature (h-T) function to define the optimum PCM peak melting temperature to enhance the cooling, heating, and the annual total heating and cooling energy performance of a residential building in various climate conditions based on Köppen-Geiger classification. Results show that in a cooling dominant climate the best PCM melting temperature to reduce the annual energy consumption is close to the maximum of 26ºC (melting range of 24ºC-28ºC), whereas in heating dominant climates PCM with lower melting temperature of 20ºC (melting range of 18ºC-22ºC) yields higher annual energy benefits. Moreover, it was found that the proper selection of PCM melting temperature in each climate zone can lead to notable energy savings for cooling energy consumption, heating energy consumption, and total annual energy consumption.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017
2017
2019
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://doi.org/10.1016/j.apenergy.2017.05.107
http://hdl.handle.net/10459.1/59645
http://hdl.handle.net/10459.1/59645
url https://doi.org/10.1016/j.apenergy.2017.05.107
http://hdl.handle.net/10459.1/59645
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MINECO//ENE2015-64117-C5-1-R
info:eu-repo/grantAgreement/MINECO//ENE2015-64117-C5-3-R
Versió postprint del document publicat a https://doi.org/10.1016/j.apenergy.2017.05.107
Applied Energy, 2017, vol. 202, p. 420-434
info:eu-repo/grantAgreement/EC/H2020/657466
info:eu-repo/grantAgreement/EC/FP7/610692
dc.rights.none.fl_str_mv cc-by-nc-nd (c) Elsevier, 2017
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
rights_invalid_str_mv cc-by-nc-nd (c) Elsevier, 2017
http://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
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv 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
_version_ 1869420221253550080
score 15,811543

Similares en LA Referencia