Conference Agenda

In tropical climates, shading becomes an important variable to protect built environment from solar radiation. The shading performance becomes more important for windows, which are the most susceptible construction element. They perform as the major contributor to heat gain since they allow solar radiation to enter interior spaces. In order to protect windows from solar radiation, the concept of projection factor is commonly used since it facilitated the design process to determine the adequate length for shading devices, specifically overhangs. However, this approach does not account for other key factors, such as solar geometry, orientation, time of the year and hour of the day. Considering this, a simulation using an octagon model facing eight orientations is performed in order to determine the effectiveness of different overhangs configurations.

This research project aligns with Sustainable Development Goal (SDG) 9: Industry, Innovation and Infrastructure, due to its contribution to waste reuse and the promotion of sustainable technologies in construction. The study's general objective was to determine the relationship between mining tailings and the manufacture of ecological paving stones in a district of Lambayeque in 2025. The methodology employed was basic, with a quantitative approach and a non-experimental, cross-sectional design, seeking to analyze the behavior of both variables without direct manipulation. The population consisted of 48,209 inhabitants of the Mórrope district, while the sample comprised 384 participants, selected through simple random sampling. The survey technique was used, and the instruments were two validated questionnaires, which registered reliability levels of 0.733 for mining tailings and 0.895 for the manufacture of ecological paving stones. The main results showed that tailings processing was at medium to high levels, while the manufacture of eco-friendly paving stones was mostly at a high level. Furthermore, significant relationships were identified between knowledge, environmental perception, and management with manufacturing. The overall correlation (Rho = 0.533; p = 0.000) confirmed a moderate positive relationship. It was concluded that a significant relationship exists, demonstrating that tailings can become a useful resource for sustainable production.

This study evaluated the mechanical behavior of wood–plastic composites (WPC) manufactured from recycled high-density polyethylene (HDPE) and pine sawdust. A 2² factorial design was applied to analyze the influence of extrusion temperature (185 °C and 195 °C) and sawdust content (10 % and 20 %) on the mechanical properties. Twenty specimens were tested under three-point bending according to ASTM D790 to determine the modulus of rupture (MOR) and modulus of elasticity (MOE). The analysis of variance (ANOVA) revealed that both factors exerted a statistically significant influence (p < 0.01), with sawdust content being the dominant factor showing high effect sizes (η² = 0.82 for MOR and 0.65 for MOE). Increases in sawdust content and temperature reduced strength and stiffness by an average of −2.8 MPa and −210 MPa, respectively, due to interfacial adhesion loss and thermal degradation of lignocellulosic fibers. The optimal condition of 185 °C and 10 % sawdust achieved the maximum strength (28.46 ± 0.65 MPa) and stiffness (1849.1 ± 72.1 MPa), highlighting the potential of recycled WPCs for lightweight structural applications.

Abstract: This study presents the design and implementation of the automated system Smart Trash, aimed at improving solid waste segregation in households of Cajamarca through the use of electronic sensors and an Arduino microcontroller. The research addresses the problem of inadequate waste management and seeks to strengthen environmental awareness through sustainable technological solutions. An applied and experimental technological design was used, with a sample of 30 selected households. Results showed an average efficiency of 97 % in classifying organic, recyclable, and non-recyclable waste. These findings confirm the feasibility of using low-cost automation technologies to promote sustainability and improve waste management in domestic contexts.

Contamination of agricultural soils by heavy metals from mining activities represents a critical threat to sustainability and human health. The main objective of this research was to conduct a comparative analysis of agricultural soils affected by mine tailings seepage, with an emphasis on the identification of copper (Cu) and lead (Pb). The study adopted a quantitative approach and experimental design, using a total of six agricultural soil samples and six samples of mine tailings water taken from different points in the northern highlands of Peru, specifically in the Quiruvilca area. The samples were analyzed using titration and atomic adsorption techniques. The results showed high levels of contamination, with Cu concentrations (0.03%) exceeding the Environmental Quality Standards (EQS) at all sampling points, making Cu the most abundant contaminant. Furthermore, copper concentrations in the tailings water were significantly elevated to 72.25 ppm, exceeding the limits set by the National Water Authority (ANA). It is concluded that the seepage of mining tailings in the Quiruvilca area has caused a progressive chemical alteration of the agricultural soil, with a high concentration of Cu and Pb, which implies an environmental risk in agriculture.

This study determines the efficacy of biochar in the remediation of lead (Pb) contaminated soils through a quantitative and broad scope research. Lead (Pb) contaminated soil samples from an agricultural plot located in Huamachuco were treated with different doses of biochar (10%, 20%, and 25%) for 30 days. The research was divided into two evaluation periods, pre- and post-treatment (T0 and T30), and the information obtained was statistically analyzed using Shapiro-Wilk normality tests and ANOVA, using SPSS v.26 software. During the experimental phase, physical and chemical changes resulting from the treatments were recorded. The findings indicate that biochar is effective in removing lead (Pb), with the 25% dose being the most effective, with a removal rate of 78.9% (28.52 mg/kg), meeting Environmental Quality Standards (ECS) for agricultural soils. An improvement in the physicochemical properties of the soil analyzed was also evident. It is concluded that cattle manure biochar constitutes a viable alternative for the remediation of agricultural soils contaminated with lead (Pb).