| Metadato | Etiqueta | Valor | Idioma |
|---|---|---|---|
| dc.contributor.author | Autor | Gervaz, Sofía | - |
| dc.contributor.author | Autor | Favre, Federico | - |
| dc.contributor.filiacion | Filiación | Gervaz Sofía, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
| dc.contributor.filiacion | Filiación | Favre Federico, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
| dc.date.accessioned | Fecha ingreso | 2024-09-11T14:46:43Z | - |
| dc.date.available | Fecha disponible | 2024-09-11T14:46:43Z | - |
| dc.date.issued | Año de publicación | 2024 | - |
| dc.description.abstract | Resumen | Building energy modeling tools play a crucial role in quantifying and understanding the energy performance of buildings. These tools require substantial amounts of data, which can be challenging to obtain and are often associated with significant uncertainties. The incorporation of sensitivity analysis is a crucial step toward developing reliable models as it identifies the most critical parameters that require meticulous characterization. In this study, a sensitivity analysis based on the Morris method was conducted to assess the relevance of 14 input parameters affecting thermal loads across four dwelling typologies modeled in EnergyPlus. Different numbers of Morris trajectories and levels were considered to analyze the impact of the user-defined values of r and p when employing the Morris method. Convergence was achieved at r = 200 and p = 12, which are higher than the typically employed values (r = 10 and p = 4). Roof solar absorptivity, setpoint temperatures, orientation, and the roof conductance rank among the top five most influential parameters affecting thermal loads in all four of the studied typologies. Occupancy was also among the top five most relevant parameters in three of the four typologies. | es |
| dc.format.extent | Extensión | 21 p. | es |
| dc.format.mimetype | Formato | application/pdf | es |
| dc.identifier.citation | Citación | Gervaz, S. y Favre, F. "Identifying key parameters in building energy models: sensitivity analysis applied to residential typologies". Buildings. [en línea] 2024 vol.14, no. 9, 2804. DOI: https://doi.org/10.3390/buildings14092804. | es |
| dc.identifier.doi | DOI | https://doi.org/10.3390/buildings14092804 | - |
| dc.identifier.uri | URI | https://hdl.handle.net/20.500.12008/45808 | - |
| dc.language.iso | Idioma | en | es |
| dc.publisher | Editorial | MDPI | es |
| dc.relation.ispartof | EN | Buildings, vol.14, no. 9, 2024, 2804. | es |
| dc.rights | Derechos | Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014) | es |
| dc.rights.licence | Licencia | Licencia Creative Commons Atribución (CC - By 4.0) | es |
| dc.subject | Palabras clave | Building energy model | es |
| dc.subject | Palabras clave | Sensitivity analysis | es |
| dc.subject | Palabras clave | Building simulation | es |
| dc.title | Título | Identifying key parameters in building energy models : Sensitivity analysis applied to residential typologies. | es |
| dc.type | Tipo de documento | Artículo | es |
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| GF24.pdf | Versión publicada | 1.57 MB | Adobe PDF |