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dc.contributor.author
Zhilyaev, Dmitry  
dc.contributor.author
Albanesi, Alejandro Eduardo  
dc.contributor.author
Demarchi, María Cecilia  
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Fachinotti, Victor Daniel  
dc.contributor.author
Bakker, Hans L.M.  
dc.contributor.author
Jonkers, Henk M.  
dc.date.available
2025-12-18T12:21:00Z  
dc.date.issued
2025-09  
dc.identifier.citation
Zhilyaev, Dmitry; Albanesi, Alejandro Eduardo; Demarchi, María Cecilia; Fachinotti, Victor Daniel; Bakker, Hans L.M.; et al.; A shot in the dark: The current state of PCM hysteresis modelling in building energy simulation software; Elsevier Science SA; Energy and Buildings; 348; 9-2025; 1-14  
dc.identifier.issn
0378-7788  
dc.identifier.uri
http://hdl.handle.net/11336/278147  
dc.description.abstract
Phase change materials (PCM) are receiving ever-growing attention as a promising construction material for improving building energy performance through thermal storage and peak load shifting. The analysis of PCM performance and decision-making related to PCM implementation in building envelopes often relies on building energy simulation software such as EnergyPlus – a de facto standard in the academic world and the industry. For a precise modelling of the dynamic PCM behaviour, it is essential to correctly account for PCM hysteresis. This work introduces two new implementations of PCM hysteresis models in EnergyPlus. Further, it provides an in-depth analysis of four publicly available EnergyPlus-based hysteresis models, including the two newly introduced ones, and identifies the existing limitations for each of them. Finally, it explores the effects of PCM model selection on decision-making using the example of novel PCM-embedded material development. The results of this study show that the current built-in hysteresis model in EnergyPlus is not implemented correctly, and none of the other analysed models is completely free of limitations. Moreover, this work draws attention to the existing contradictions between different PCM modelling approaches, highlighting the critical impact the selection of a PCM model has on PCM-related decision-making. We conclude that while the existing hysteresis models in EnergyPlus are operable – albeit with great caution – they are not yet at the stage where they could be used as a reliable decision-making support tool. Practical real-world integration of PCM in building envelopes is hardly possible without having dependable modelling tools to back it up, and the development of such tools requires far more attention than it is given at the moment.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science SA  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
EnergyPlus  
dc.subject
Phase change materials  
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Thermal hysteresis  
dc.subject
Energy simulation  
dc.subject
Optimisation  
dc.subject.classification
Mecánica Aplicada  
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Ingeniería Mecánica  
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INGENIERÍAS Y TECNOLOGÍAS  
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Termodinámica  
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Ingeniería Mecánica  
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INGENIERÍAS Y TECNOLOGÍAS  
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Ingeniería de los Materiales  
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Ingeniería de los Materiales  
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INGENIERÍAS Y TECNOLOGÍAS  
dc.title
A shot in the dark: The current state of PCM hysteresis modelling in building energy simulation software  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2025-12-17T10:35:57Z  
dc.journal.volume
348  
dc.journal.pagination
1-14  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Zhilyaev, Dmitry. Delft University Of Technology. Civil Engineering And Geosciences; Países Bajos  
dc.description.fil
Fil: Albanesi, Alejandro Eduardo. 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: Demarchi, María Cecilia. 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: Fachinotti, Victor Daniel. 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: Bakker, Hans L.M.. Delft University Of Technology. Civil Engineering And Geosciences; Países Bajos  
dc.description.fil
Fil: Jonkers, Henk M.. Delft University Of Technology. Civil Engineering And Geosciences; Países Bajos  
dc.journal.title
Energy and Buildings  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S037877882501148X  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.enbuild.2025.116418