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dc.contributor.authorSánchez García, Daniel
dc.contributor.authorBienvenido Huertas, David
dc.contributor.authorRubio Bellido, Carlos
dc.contributor.authorForgiarini Rupp, Ricardo
dc.date.accessioned2025-05-22T05:52:49Z
dc.date.available2025-05-22T05:52:49Z
dc.date.issued2024
dc.identifier.citationSánchez-García, D., Bienvenido-Huertas, D., Rubio-Bellido, C. et al. Assessing the energy saving potential of using adaptive setpoint temperatures. Building Simulation. 17(3), pp. 459-482. https://doi.org/10.1007/s12273-023-1084-3es
dc.identifier.issn1996-3599
dc.identifier.issn1996-8744
dc.identifier.urihttp://hdl.handle.net/20.500.12251/3841
dc.description.abstractIt has been found in recent years that using setpoint temperatures based on adaptive thermal comfort models is a successful method of energy conservation. Recent studies using adaptive setpoint temperatures incorporate international models from ASHRAE Standard 55 and EN16798-1. This study, however, has instead considered a regional Brazilian adaptive comfort model. This study investigates the energy demand arising from the use of a local Brazilian comfort model in order to assess the energy implications from the use of the worldwide ASHRAE Standard 55 adaptive model and various fixed setpoint temperatures. All of Brazil’s climate zones, full air-conditioning, mixed-mode building operating modes, present-day climate change scenarios, and future scenarios—specifically Representative Concentration Pathways (RCP) 2.6, 4.5, and 8.5 for the years 2050 and 2100—have all been taken into account in building energy simulations. The use of adaptive setpoint temperatures based on the Brazilian local model considering mixed-mode has been found to significantly reduce energy consumption when compared to static setpoint temperatures (average energy-saving values ranging from 52% to 58%) and the ASHRAE 55 adaptive model (average values ranging from 15% to 21%). Considering climate change and the mixed-mode Brazilian model, the overall energy demand for the three groups of climatic zones (annual average outdoor temperatures ≤ 21 °C, > 21 and ≤ 25 °C and > 25 °C) ranged between 2% decrease and 5% increase, 4% and 27% increase, and 13% and 45% increase, respectively. It is concluded as a consequence that setting setpoint temperatures based on the Brazilian local adaptive comfort model is a very efficient energy-saving method.es
dc.language.isoenges
dc.publisherTSINGHUA UNIV PRESSes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleAssessing the energy saving potential of using adaptive setpoint temperatures: The case study of a regional adaptive comfort model for Brazil in both the present and the futurees
dc.typearticlees
dc.identifier.doi10.1007/s12273-023-1084-3
dc.identifier.urlhttps://doi.org/10.1007/s12273-023-1084-3es
dc.issue.number3es
dc.journal.titleBuilding Simulationes
dc.page.initial459es
dc.page.final482es
dc.rights.accessRightsopenAccesses
dc.subject.keywordConfort térmico adaptativoes
dc.subject.keywordTemperatura de referenciaes
dc.subject.keywordAhorro energéticoes
dc.subject.keywordSimulación energética - herramientases
dc.subject.keywordDemanda energéticaes
dc.subject.keywordBrasiles
dc.subject.keywordZonas climáticases
dc.subject.unesco3305.90 Transmisión de Calor en la Edificaciónes
dc.subject.unesco3305.14 Viviendases
dc.subject.unesco3311.02 Ingeniería de Controles
dc.subject.unesco3311.16 Instrumentos de Medida de la Temperaturaes
dc.volume.number17es


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