Conference Agenda

The increasing global energy demand and concern for the environment have driven the search for more efficient and sustainable technologies for electricity generation. Among these, combined cycle thermal power plants have emerged as a prominent option thanks to their high efficiency and low emissions.

This study focuses on the thermodynamic analysis of these plants, with the aim of optimizing their performance and minimizing their environmental impact. Through numerical simulations using the EES program, the behavior of different configurations and operating parameters has been evaluated. The results obtained show that the optimization of combined cycles is possible through a careful selection of variables such as the pressure ratio in the compressor, the inlet temperature to the turbine and the operating conditions of the heat recovery boiler. In addition, the importance of considering the impact of factors such as fuel quality and environmental conditions on the overall performance of the plant has been identified.

This research contributes to the advancement of knowledge in the field of thermal energy and provides a valuable tool for power plant engineers and designers, allowing them to make more informed decisions and optimize the use of energy resources.

Water risk is a fact that is continuously growing, affecting people's quality of life, added to the increase in water demand due to the exponential growth of the population. In order to determine the results of the multivariate analysis between water risk and water demand for human consumption in the urban population of the district of Santiago de Chuco, the following objectives were formulated: a) to calculate water demand for human consumption; b) to identify the main components of water risk and water demand factors; c) to propose a management strategy for the headwaters that guarantees sustainable access to water resources for human consumption. For the study, the sample consisted of records of precipitation, temperature, evapotranspiration and annual water demand between 1981 and 2016. A correlational analysis was performed and SPSS, Excel, RStudio and ArcGIS pro software were used. The results showed a significant inverse correlation between water demand and evapotranspiration of -0.722, and three principal components were identified. In conclusion, it was identified that water risk factors do relate to water demand

This research explores the generation of electrical energy from the impact of rainwater on piezoelectric plates installed in stormwater pipes. It is based on the ability of piezoelectric materials to convert mechanical energy into electricity when deformed by an external force. The study was developed using an experimental model in which variables such as flow rote and height of water fall were analyzed, using PVDF sensors. The results show that although the energy generated is low (approximately 0.01 V in continuous impacts), there is potential to optimize the system through improvements in the sensor layout and electrical circuit configuration. It is evident that the initial impact of water generates greater voltage, while the generation decreases with repeated impacts due to the stabilization of the material. The study concludes that, although the current system has limitations, its future development could contribute to the diversification of renewable sources in urban environments. It is recommended to continue research focused on the storage of the harvested energy and increasing the efficiency of the system for practical applications.

The study focuses on identifying the circulation patterns (CP) in the winter season that are related to the occurrence of precipitation in the Peruvian-Bolivian Altiplano and part of the Bolivian Amazon. The atmospheric circulation patterns determined by Medina (2020) for the austral winter were used, the 7 CPs were found, and various statistical methods such as ascending hierarchical classification and SOM neural networks were used. These patterns were determined at an atmospheric level of 200 hPa, wind data from ERA - Interim, corresponding to 1976 - 2016, and the precipitation of 173 meteorological stations located in the region of 15º S - 25º S, 80º W - 60º W was related to each pattern. In addition, longwave radiation (OLR) data from NCAR / NOAA with a resolution of 2.5 were used. ° x 2.5° from 1979 to 2016. The precipitation behavior associated with the identified patterns describes well-defined temporal cycles. These behaviors are linked to meteorological events, such as segregated lows, for which the modified Bonner criterion was used and defined at the El Zongo glacier (16º 12' 0" S and 68º 6' 0" W). The results were compared with data from the SENAMHI and OLR stations, arguing that one of the mechanisms associated with the probability of precipitation is DANA at high levels and incursions of directed winds at low levels.

The study aimed to analyze findings from recent research on water pollution and its impact on aquatic organisms. Fourteen scientific articles published between 2017 and 2024 in journals indexed in the SciELO Online Electronic Library were selected and reviewed. The information from the articles included in the review was organized in a synthesis matrix that allowed the identification of trends regarding general characteristics of publications, study locations and methodologies, types of contaminants, and effects of pollution on aquatic organisms. Results revealed a predominance of publications in 2023, with women as first authors in most articles. Analysis of corresponding authors' affiliations showed a concentration in institutions from Mexico and Colombia. These countries, along with Costa Rica, also stood out for editing journals with the highest number of publications on the topic. The weighted average of authors per article was 3.71, with a high proportion of multiple authorship (.93). While collaboration was evident, it was exclusively national. Mexico and Colombia were also the locations where more than 50% of the reviewed research was conducted. The analyzed studies primarily employed toxicity assays to evaluate the effects of contaminants and atomic absorption spectrophotometry to determine their concentration in aquatic organisms. Adverse effects on aquatic species were reported, including microplastics in fish and crustaceans, bioaccumulation of heavy metals in tissues, and toxic effects of agrochemicals. In conclusion, the review evidenced a trend in publications investigating the impact of water pollution on aquatic organisms.

Global demographic growth is increasing the demand for food and energy resources, especially in the context of climate change challenges. This scenario has driven the need for sustainable and innovative solutions that allow for balancing human development with ecosystem conservation. Agrovoltaic systems, which combine solar energy production with agricultural activity, emerge as an option to optimize the use of natural resources and land. This research compares the impact of agrovoltaic systems and traditional systems in terms of crop productivity, water consumption, and energy efficiency. The study was conducted in Characato, Arequipa, Peru, using monitoring tools to measure climatic and agricultural variables during the cultivation of lettuce (Cichorium Endiviaen). The results show that agrovoltaic systems optimize water efficiency and reduce thermal stress in crops, maintaining agronomic performance similar to traditional systems. The partial shade provided by the solar panels reduced evapotranspiration rates, achieving a water saving of up to 30% compared to conventional methods. In conclusion, agrovoltaic systems emerge as a sustainable strategy that integrates water management, land use optimization, agricultural production, and renewable energy generation, representing an innovative solution to address challenges related to food security, water scarcity, and the energy transitionit