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dc.contributor.authorSánchez García, Daniel
dc.contributor.authorBienvenido Huertas, David
dc.contributor.authorPulido Arcas, Jesús Alberto
dc.contributor.authorRubio Romero, Juan Carlos
dc.date.accessioned2021-09-30T08:26:35Z
dc.date.available2021-09-30T08:26:35Z
dc.date.issued2020-02
dc.identifier.citationSánchez-García, D.; Bienvenido-Huertas, D.; Pulido-Arcas, J.A.; Rubio-Bellido, C. Analysis of Energy Consumption in Different European Cities: The Adaptive Comfort Control Implemented Model (ACCIM) Considering Representative Concentration Pathways (RCP) Scenarios. Appl. Sci. 2020, 10, 1513. https://doi.org/10.3390/app10041513es
dc.identifier.issn20763417
dc.identifier.urihttp://hdl.handle.net/20.500.12251/1850
dc.description.abstractReports of Intergovernmental Panel on Climate Change have set various greenhouse gas emissions scenarios, through which the evolution of the temperature of the planet can be estimated throughout the 21st century. The reduction of the emissions from the different activities carried out by mankind is crucial to mitigate greenhouse gas emissions. One of the most significant activities is users' behaviour within buildings, particularly the use of Heating, Ventilation and Air-Conditioning systems. Modifying users' behaviour patterns to guarantee acceptable thermal conditions inside buildings could lead to considerable energy saving percentages, and adaptive thermal comfort models could be an opportunity to achieve important savings. For this reason, this study analyzes the potential to apply adaptive thermal comfort models to use artificial air-conditioning systems by modifying setpoint temperatures. The analysis was conducted in five major European cities (Barcelona, Berlin, Bern, Rome, and Vienna) and in five climate change scenarios in the year 2050. The results showed that, in general, the energy saving achieved by adaptive strategies was larger in the cities with a greater cooling demand. Also, in both Representative Concentration Pathways (RCP) of the Fifth Assessment Report (AR5) considered, the energy saving were decreased in the cities of Barcelona and Rome, with values lower than those of the Fourth Assessment Report (AR4) scenarios considered, whereas in the cities of Berlin, Bern, and Vienna, the saving in the RCP scenarios is greater than those in the other scenarios. © 2020 by the authors.es
dc.language.isoenges
dc.publisherMDPI AGes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleAnalysis of energy consumption in different European cities: The adaptive comfort control implemented model (ACCIM) considering representative concentration pathways (RCP) scenarioses
dc.typearticlees
dc.identifier.doi10.3390/app10041513
dc.identifier.urlhttps://doi.org/10.3390/app10041513es
dc.issue.number4es
dc.journal.titleApplied Sciences (Switzerland)es
dc.page.initial1es
dc.page.final24es
dc.rights.accessRightsopenAccesses
dc.subject.keywordConsumo energéticoes
dc.subject.keywordConfort térmico adaptativoes
dc.subject.keywordCambio climáticoes
dc.subject.keywordGases de efecto invernaderoes
dc.subject.keywordComportamiento energéticoes
dc.subject.keywordAhorro energéticoes
dc.subject.keywordEvaluación ambientales
dc.subject.keywordTemperatura de referenciaes
dc.subject.unesco3305.90 Transmisión de Calor en la Edificaciónes
dc.subject.unesco2502.02 Climatología Aplicadaes
dc.subject.unesco2502.07 Climatología Regionales
dc.subject.unesco3308.01 Control de la Contaminación Atmosféricaes
dc.subject.unesco3308.04 Ingeniería de la Contaminaciónes
dc.subject.unesco3311.16 Instrumentos de Medida de la Temperaturaes
dc.subject.unesco6307.07 Tecnología y Cambio Sociales
dc.volume.number10es


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