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dc.contributor.author
Bre, Facundo
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dc.contributor.author
Lamberts, Roberto
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dc.contributor.author
Flores Larsen, Silvana Elinor
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dc.contributor.author
Koenders, Eduardus A. B.
dc.date.available
2024-05-28T11:00:09Z
dc.date.issued
2023-04
dc.identifier.citation
Bre, Facundo; Lamberts, Roberto; Flores Larsen, Silvana Elinor; Koenders, Eduardus A. B.; Multi-objective optimization of latent energy storage in buildings by using phase change materials with different melting temperatures; Elsevier; Applied Energy; 336; 4-2023; 1-18
dc.identifier.issn
0306-2619
dc.identifier.uri
http://hdl.handle.net/11336/236196
dc.description.abstract
Technologies based on phase change materials (PCMs) are promising solutions to reduce energy consumption in buildings and related greenhouse gas emissions. However, the performance of passive PCMs in buildings is highly dependent on the melting temperatures employed, as well as the climate where the building is located. Therefore, the present contribution describes an optimization-based method to design passive latent energy storage in buildings by using PCMs with different melting temperatures. To achieve this goal, a multi-objective genetic algorithm is coupled with the building energy models developed in EnergyPlus to find the best trade-off between annual heating and cooling loads. A small office is chosen as a case study to evaluate the energy performance of the buildings incorporating the proposed PCM approach. Three different PCM layers are added to the ceilings and the external and internal walls of the building, and their parametric models are developed in EnergyPlus to optimize the melting temperature and thickness of each PCM layer simultaneously. Moreover, a method to select climate-representative locations according to the ASHRAE 169-2020 climate classification and within the WMO Region VI (Europe) is proposed and applied, resulting in eight well-representative locations. An optimization-based design is carried out for each selected location and the performances of the optimized building designs are systematically compared to the ones of the baseline models. The optimization results achieved show that regardless of the climate zone analyzed, using several PCMs with different melting temperatures instead of a single one, is preferred. Moreover, the best performance of PCMs is attained in climate zones where both the heating and cooling loads are present. Thus, the highest saving regarding the annual total loads of 11.7% is achieved in zone 5A (Cold), while the lowest one of 2.3% is obtained in zone 1B (Very hot).
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
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dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CLIMATE-REPRESENTATIVE LOCATIONS
dc.subject
ENERGY-EFFICIENT BUILDING
dc.subject
LATENT ENERGY STORAGE
dc.subject
MULTI-OBJECTIVE OPTIMIZATION
dc.subject
MULTIPLE MELTING TEMPERATURES
dc.subject
PHASE CHANGE MATERIAL
dc.subject.classification
Otras Ingenierías y Tecnologías
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dc.subject.classification
Otras Ingenierías y Tecnologías
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Multi-objective optimization of latent energy storage in buildings by using phase change materials with different melting temperatures
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-02-05T13:40:32Z
dc.journal.volume
336
dc.journal.pagination
1-18
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Bre, Facundo. Universitat Technische Darmstadt; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; Argentina
dc.description.fil
Fil: Lamberts, Roberto. Universidade Federal de Santa Catarina; Brasil
dc.description.fil
Fil: Flores Larsen, Silvana Elinor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones en Energía no Convencional. Universidad Nacional de Salta. Facultad de Ciencias Exactas. Departamento de Física. Instituto de Investigaciones en Energía no Convencional; Argentina
dc.description.fil
Fil: Koenders, Eduardus A. B.. Universitat Technische Darmstadt; Alemania
dc.journal.title
Applied Energy
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.apenergy.2023.120806
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