Articles publicats (Enginyeria Industrial i de l’Edificació)
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- ItemOpen AccessInfluence of sand proportion in the physical and mechanical properties of construction and building mortars(ALCONPAT Internacional, 2023) Navarrete-Seras, Marco Antonio; Martinez-Molina, Wilfrido; Chavez-Garcia, Hugo Luis; Sanchez-Calvillo, Adrià; Arreola-Sanchez, Mauricio; Borrego-Perez, Jorge Alberto; Perez-Castellanos, Nora Ariadna; Ruiz-Torres, Raul Pavel; Duran-Ramos, Ana Miriam; Alonso Guzmán, Elia MercedesThe influence of sand proportion of in mortars Type II was studied according to the standard N-CMT-2-01-004/02. Three different types of fine aggregates from the region of Morelia, in Michoacan, were used to determine their influence in the physical and mechanical properties. Different cementitious materials (CM): Portland cement plus lime (B1), and Portland cement plus construction cement (B2) were considered and mixed. The mortar mixtures were designed for B1 and B2 with different volume ratios of aggregates/CM, from 2.25 to 4. The characterization determined the fluency, the uniaxial compressive strength (UCS) and the wet electrical resistivity (WER). Analyzing the fluency and the ratio water/CM it was concluded that the aggregate properties and their proportions modify the water demand in the fresh state of the mortar and consequently the UCS and WER.
- ItemOpen AccessClimate change influences in the determination of the maximum power potential of radiative cooling. Evolution and seasonal study in Europe(Elsevier, 2023) Vilà Miró, Roger; Medrano Martorell, Marc; Castell, AlbertIn the recent years, radiative cooling has emerged as a promising technology for space cooling applications. Nevertheless, radiative cooling phenomenon is dependent on weather conditions and it presents some performance limitations, meaning that the cooling capacity is limited in some climates. The radiative cooling potential is the maximum theoretical limit that can be achieved. In this study we analyse the evolution of the radiative cooling potential in Europe under the context of climate change. Radiative cooling potential maps for the period 2020–2050 are provided. The results reveal that radiative cooling potential remains constant for this period, evidencing a resilience of this technology during the following decades. We also provide a seasonal study of the potential by regions. Summer, when cooling needs are higher, is the season with the least nocturnal energy potential and the second with the highest nocturnal power potential. Shifting to all-day radiative cooling, the energy potential increases by 1.64 in winter; 2.97 in spring; 4.03 in summer and 2.2 in autumn.
- ItemOpen AccessApplication of deep learning techniques to minimize the cost of operation of a hybrid solar-biomass system in a multi-family building(Elsevier, 2023) Zsembinszki, Gabriel; Fernàndez Camon, César; Borri, Emiliano; Cabeza, Luisa F.Concerns related to climate change put renewable energy at the centre of most of the policies aimed at achieving a deep decarbonisation of the building sector. The combined use of two or more renewable energy sources in the same energy system can lead to an increase in the total share of renewable energy and in the flexibility of the system. In this direction, the SolBio-Rev project aims to develop an innovative system that uses solar thermal collectors and a biomass boiler to meet energy demand in buildings in different climatic regions. An advanced control that used deep reinforcement learning techniques was considered in this paper to find an optimal control strategy for a specific SolBio-Rev system installed in a standard multi-family residential building located in Madrid. The advanced control was developed to minimize the total cost of operation of the system. The results indicated that the advanced control strategy achieved a cost reduction of 35% in winter, compared to a standard rule-based control strategy. However, the improved control was not able to produce a significant cost reduction in summer.
- ItemEmbargoStandardised methods for the determination of key performance indicators for thermal energy storage heat exchangers(Elsevier, 2023) Beyne, Wim; T'Jollyn, Ilya; Lecompte, Steven; Cabeza, Luisa F.; De Paepe, MichelLatent thermal energy storage (LTES) heat exchangers can provide energy storage in a broad range of energy systems. Implementing LTES heat exchangers requires an assessment of their performance in a given system. The performance of a LTES heat exchanger is described by its performance indicators which are classified as technical, economical, and life-cycle indicators. The current paper focusses on the technical performance indicator and specifically on predictive methods which aid the assessment of the performance of a LTES heat exchanger in a system. To structure the analysis, a thermodynamic framework is provided which allows to clearly define LTES heat exchangers and classify the technical performance indicators. In a second step, the literature is reviewed for reported technical performance indicators with a specific focus on predictive methods for these indicators. The averaged effectiveness-number of transfer units (ε-NTU) and phase change time method are identified as important predictive models, analyzed, and compared based on their theoretical derivation. The relation between the averaged effectiveness and phase change time is investigated both theoretically and based on data available in literature which results in recommendations for standardizing the characterization of LTES heat exchangers. By standardizing characterization of LTES heat exchangers, researcher can assess their performance in different energy systems without additional experiments or CFD calculations.
- ItemOpen AccessDetection of unfavourable urban areas with higher temperatures and lack of green spaces using satellite imagery in sixteen Spanish cities(Elsevier, 2022) Rodríguez Gomez, Francisco; Fernández Cañero, Rafael; Pérez Luque, Gabriel; Campo Ávila, José del; López Rodríguez , Domingo; Pérez Urrestarazu, LuisThis paper seeks to identify the most unfavourable areas of a city in terms of high temperatures and the absence of green infrastructure. An automatic methodology based on remote sensing and data analysis has been developed and applied in sixteen Spanish cities with different characteristics. Landsat-8 satellite images were selected for each city from the July-August period of 2019 and 2020 to calculate the spatial variation of land surface temperature (LST). The Normalized Difference Vegetation Index (NDVI) was used to determine the abundance of vegetation across the city. Based on the NDVI and LST maps created, a k-means unsupervised classification clustering was performed to automatically identify the different clusters according to how favourable these areas were in terms of temperature and presence of vegetation. A Disadvantaged Area Index (DAI), combining both variables, was developed to produce a map showing the most unfavourable areas for each city. Overall, the percentage of the area susceptible to improvement with more vegetation in the cities studied ranged from 13 % in Huesca to 64–65 % in Bilbao and Valencia. The influence of several factors, such as the presence of water bodies or large buildings, is discussed. Detecting unfavourable areas is a very interesting tool for defining future planning strategy for green spaces.
