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dc.contributor.authorCoelho, Guilherme Barreto Arez
dc.contributor.authorRebelo, Hugo B.
dc.contributor.authorde Freitas, Vasco Peixoto
dc.contributor.authorHenriques, Fernando M.A.
dc.contributor.authorSousa, Lourenço
dc.date.accessioned2023-11-23T07:31:39Z
dc.date.available2023-11-23T07:31:39Z
dc.date.created2023-09-26T20:57:35Z
dc.date.issued2023
dc.identifier.citationBuilding and Environment. 2023, 245 .en_US
dc.identifier.issn0360-1323
dc.identifier.urihttps://hdl.handle.net/11250/3104218
dc.description.abstractMeteorological conditions play a major influence on the indoor conditions of buildings, especially in southern European countries, where the hygrothermal requirements are systematically neglected, on contrast to northern European countries. Outdoor conditions will greatly differ with a building’s location, even more if climate change is considered. Designing or retrofitting should take the climate requirements and, if necessary, adapt appropriately. This paper presents a methodology that can easily assess the variance of the indoor climate or even the performance of a retrofit measure in accordance with location. The methodology encompasses five steps: 1) Set meteorological data; 2) Build outdoor weather files; 3) Obtain interface soil/slab temperature; 4) Obtain simulation outputs; and 5) Build map. This methodology is flexible in terms of location/region, computational model, requirements and weather data. A model of a historic church was used to compute current and future climates’ distribution for Portugal. It was shown that the indoor climates are more moderate on locations near the coast than on those in the interior of the country, and that the buffering effect is higher in the west coast than in the south coast. A significant increase in terms of indoor temperature from scenario RCP 4.5 to RCP 8.5 is expected. In most of the coastal zones, an increase in RH is expected in the near future, whilst in some interior regions, a decrease is expected. Finally, it was shown that when using an adequate interpolation function, the coarser grid can correctly simulate the geographical distribution of the indoor conditions.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleCurrent and future geographical distribution of the indoor conditions for high thermal inertia historic buildings across Portugal via hygrothermal simulationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.1016/j.buildenv.2023.110877
dc.identifier.cristin2179176
dc.source.journalBuilding and Environmenten_US
dc.source.volume245en_US
dc.source.pagenumber17en_US


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