Nowadays, the building sector is one of the main sources emitting pollutant gases to the atmosphere due to its deficient energy behaviour. Among the elements of the envelope, the thermal bridges are where the heat losses and gains mainly occur, depending on the season of the year. To reduce the effect of the thermal bridges, there are different patented technologies which give provide solutions. In this paper, the thermal behaviour of five patented slab front (slab-façade) thermal bridges are analysed in a case study located in the south of Spain. Moreover, the influence of the thermal bridge on the energy demand from the building analysed was evaluated, both in the current scenario and future ones (2020, 2050 and 2080). The results reveal that the use of the patents in slab fronts can mean reductions by up to 95.74% in the linear thermal transmittance. Likewise, due to the improvement of the thermal bridge of slab fronts by using the patented designs which offered the best features, a savings in the global energy demand for heating higher than 18% as well as a savings in the global energy demand for cooling higher than 2.80% could be achieved in all the time scenarios considered.

The design and construction of buildings is currently subject to a growing set of requirements concerning sustainability and energy efficiency. This paper shows a case study of the Torre Sevilla skyscraper, located in the city of Seville (in the south of Spain), which has high-tech energy-efficient features and which uses air-conditioning systems during most of its operating hours. The analysis carried out starts from a simulation in which occupants’ thermal comfort are obtained, based on the adaptive comfort model defined in the standard EN 15251:2007. With this approach, it is possible to determine the number of hours during operation in which the building has adequate comfort conditions only with the help of the envelope and natural ventilation. Consequently, the remaining useful hours require the use of air-conditioning systems. The results show that it is possible to improve the thermal performance of the building due to its location in the Mediterranean climate. To do this, advanced mixed mode (through manual-opening or mechanically-controlled opening windows) and active air-conditioning are suggested. This experimental proposal provides a reduction of the occupation hours which require the use of air-conditioning equipment by 28.57%, reducing the air-conditioning demand and, consequently, the energy consumption of the building.

This paper presents a quantitative and qualitative study of deficiencies in the design of brick façades, by identifying the most common mistakes by analyzing projects’ technical specifications. To this end, 64 brick façade projects, produced in Spain between 2000 and 2013, were analyzed. In most cases, of the 29 parameters studied, 45% correspond to a lack of definition in the designs and 34% to a lack of data. The most frequent issues are the lack of detail in thermal bridges and the lack of indication of the characteristics of permeability, water sealing, and resistance of the exterior carpentry. Only 13% of the monitored projects were of high quality (8), 66% were of medium quality (42), and 22% were of poor quality (14). Furthermore, a methodology is presented to identify the aspects of the projects that will lead to nonquality costs during the service life of the buildings, and a tool is proposed to allow minimizing errors in the design stage, so as to avoid them in subsequent works. It is shown that the use of this methodology constitutes a suitable preventive strategy, directly improving the infrastructure’s sustainability by preventing between 65 and 75% of damages in façades.

Automatic detection activities in indoor spaces has been and is a matter of great interest. Thus, in the field of health surveillance, one of the spaces frequently studied is the bathroom of homes and specifically the behaviour of users in the said space, since certain pathologies can sometimes be deduced from it. That is why, the objective of this study is to know if it is possible to automatically classify the main activities that occur within the bathroom, using an innovative methodology with respect to the methods used to date, based on environmental parameters and the application of machine learning algorithms, thus allowing privacy to be preserved, which is a notable improvement in relation to other methods. For this, the methodology followed is based on the novel application of a pre-trained convolutional network for classifying graphs resulting from the monitoring of the environmental parameters of a bathroom. The results obtained allow us to conclude that, in addition to being able to check whether environmental data are adequate for health, it is possible to detect a high rate of true positives (around 80%) in some of the most frequent and important activities, thus facilitating its automation in a very simple and economical way.

El presente estudio presenta la investigación sobre la rehabilitación energética de la envolvente en una muestra de 615 viviendas sociales, incluidas dentro de los planes de construcción sostenible para el parque público residencial de Andalucía. Se evalúa de forma novedosa la relación entre las tasas de renovación de aire exterior y la demanda de climatización de viviendas en clima cálido. Ambas magnitudes ofrecen un paralelismo en los resultados, con valores promedio de 21,45% de disminución de tasa de renovación y un 21,82% de disminución en la demanda. Para ello, durante la ejecución de las intervenciones se ha desarrollado un muestreo de infiltraciones en viviendas. Las permeabilidades medidas se utilizan como parámetros de entrada en un proceso de modelizaciones energéticas bajo diferentes hipótesis, diferenciando la entrada de aire controlada o necesaria (ventilación) y la incontrolada o innecesaria (infiltraciones). Los resultados permiten visualizar el comportamiento de los edificios rehabilitados, cuantificando el ahorro energético como consecuencia de las infiltraciones para cada caso.