Datos de investigación (Construcciones Arquitectónicas II (ETSIE))
URI permanente para esta colecciónhttps://hdl.handle.net/11441/158079
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Dataset Thermal conditions and energy consumption of residential buildings in Seville under current and future climate scenarios [Dataset](2025-01-20) Delgado Gutiérrez, Evelyn Yaneth; Torres González, Marta; Rubio Bellido, Carlos; Universidad de Sevilla. Departamento de Construcciones Arquitectónicas II (ETSIE); Delgado Gutiérrez, Evelyn Yaneth; Ministerio de Universidades. España; Junta de Andalucía; Universidad de Sevilla. RNM162: Composición, Arquitectura y Medio Ambiente; Universidad de Sevilla. TEP211: Conservación Preventiva del Patrimonio ConstruidoThis dataset provides detailed information on outdoor air temperatures, indoor operative temperatures, and energy consumption for a simulated building case study focused on Seville, Spain. The data includes monthly measurements of indoor (in degrees Celsius) and outdoor (in degrees Celsius) operative temperatures throughout the year, as well as associated energy consumptions for different building needs, including lighting, heating, cooling, and equipment. The consumptions are expressed in kWh/m² and are collected under the current climate scenario as well as future projections based on different Representative Concentration Pathways (RCP 2.6, RCP 4.5, and RCP 8.5) for the years 2050 and 2100. This dataset is useful for assessing the energy demand of buildings and analyzing energy vulnerability in urban contexts, particularly in relation to climate change and its impact on heating and cooling needs.Dataset Thermal conditions of a type of social housing building in free running in 6 locations of Ecuador in the current climatic situation and projection to 2050 and 2100 [Dataset](2025-01-17) Delgado Gutiérrez, Evelyn Yaneth; Rubio Bellido, Carlos; Canivell, Jacinto; Universidad de Sevilla. Departamento de Construcciones Arquitectónicas II (ETSIE); Delgado Gutiérrez, Evelyn Yaneth; Ministerio de Universidades. España; Junta de Andalucía; Universidad de Sevilla. RNM162: Composición, Arquitectura y Medio Ambiente; Universidad de Sevilla. TEP211: Conservación Preventiva del Patrimonio ConstruidoThis dataset is part of a study that analyzes the thermal conditions in terms of comfort of two homes in the same building that is part of the Casa para Todos program in Ecuador, in 6 different climatic zones in the current climate situation and in the projection to 2050 and 2100 in the RCP 2.6, RCP 4.5 and RCP 8.5 scenarios. The aim of the study is to analyze the building performance, in this case, the adaptive comfort model of ASHRAE 55-2020 has been applied to establish the comfort ranges of each of the climate zones in each scenario. The results show that, due to the environmental conditions of the different areas studied, in each of them it is possible to analyze the performance of the buildings in free oscillation with adaptive comfort ranges, then a great variation between the two houses in the same climatic zone was observed, being the houses on the ground floor the ones that mostly presented a better performance. The dataset provides detailed information for each locality. It was necessary to obtain the climatic files with the Meteonorm computer program and the subsequent energy simulation of the building in DesignBuilder and EnergyPlus. The dataset collects hourly data on outdoor air temperatures, operating temperature of the two homes and comfort limits (ASHRAE 55-2020) in each of the locations as of 2020, 2050 RCP 2.6, RCP 4.5 and RCP 8.5 and 2100 RCP 2.6, RCP 4.5 and RCP 8.5.
Dataset Environmental Monitoring of the Courtyard of the Maidens at the Royal Alcázar of Seville [Dataset](2024-11-28) Torres González, Marta; Rubio Bellido, Carlos; Alducín Ochoa, Juan Manuel; Alejandre Sánchez, Francisco Javier; Blasco-López, Francisco Javier; Universidad de Sevilla. Departamento de Construcciones Arquitectónicas II (ETSIE); Torres González, Marta; Universidad de Sevilla. TEP198 Materiales de construcción y RNM162: Composición, Arquitectura y Medio AmbienteDataset Mapping energy performance in Seville’s existing residential buildings stock [Dataset](2024-04-01) Guerrero Rivera, María Fernanda; Aguilar Aguilera, Antonio Jesús; Aguilar Camacho, Joaquín; Hoz Torres, María Luisa de la; Universidad de Sevilla. Departamento de Construcciones Arquitectónicas II (ETSIE); Hoz Torres, María Luisa de la; Hoz Torres, María Luisa de la; Aguilar Aguilera, Antonio Jesús; Hoz Torres, María Luisa de la; Aguilar Aguilera, Antonio Jesús; Ministerio de Ciencia, Innovación y Universidades (MICINN). España; Agencia Estatal de Investigación. España; Ministerio de Ciencia e Innovación (MICIN). EspañaThis dataset is part of a study that aims to analyze the energy performance of the residential building stock in the most populated city of Andalusia, Seville. The information contained in 45,920 energy performance certificates of dwellings was processed and analyzed according to the type of dwellings (single-family dwelling and individual dwellings in multi-family blocks), the period of construction and the district location. The results obtained in this study facilitate the identification of those districts and areas where the least efficient buildings are concentrated.Dataset Development of Artificial Neural Network Based Model for Assessing the Whole-Body Vibration exposure [Dataset](2024-05-13) Hoz Torres, María Luisa de la; Aguilar Aguilera, Antonio Jesús; Martínez Aires, María Dolores; Ruiz, Diego P.; Arezes, Pedro; Costa, Nélson; Universidad de Sevilla. Departamento de Construcciones Arquitectónicas II (ETSIE); Hoz Torres, María Luisa de la; Hoz Torres, María Luisa de la; Aguilar Aguilera, Antonio Jesús; Hoz Torres, María Luisa de la; Aguilar Aguilera, Antonio Jesús; Ministerio de Universidades (España)This dataset is part of a study that proposes a methodology to facilitate the application of individual long-term whole-body vibration (WBV) exposure assessment models. The proposed methodology can be applied to a wide variety of activities that expose vehicle drivers to WBV in the construction sector (such as demolition tasks, earth moving or material transport). For this purpose, a driver with extensive experience in driving heavy equipment vehicles was selected and a measurement campaign was conducted. During the measurement campaign, typical activities were assessed, and the magnitude of the transmitted acceleration was characterized and analyzed. The collected data were processed and integrated into a database.