Conference Agenda

The performance of a battery energy system and its accuracy in State of Charge (SoC) (%) estimation for electric boats and electric vehicles are significantly influenced by ambient temperature. In this study, the battery will operate at extreme temperatures within Titicaca Lake, located at an altitude of 3850 meters above sea level. Therefore, the objective is to study a battery model that considers ambient and extreme temperatures. The cell must operate at critical values with a current of 150 A, a voltage of 3.65 V, and observe thermal aging that affects the capacity due to multiple charges and discharges. The method applied to lithium iron phosphate batteries LiFePO4 involved wear testing, considering three stress factors (time, temperature, and state of charge (SoC) (%)). Capacity measurements and resistance calculations tracked short-term degradation behaviors. The Shepherd model was established to identify battery aging using a simple but accurate two-step nonlinear regression approach; also the thermal analysis of the battery cell was conducted to identify the most critical zone of the cell in terms of heat generation. For further evaluation of the proposed strategies, a computational fluid dynamics (CFD) model was built in COMSOL Multiphysics® and validated with a thermographic camera to identify the temperature in the cells. The final arrangement of the LiFePO4 battery is the 16s1p prismatic cell type (16 cells in series and one parallel), with the cell experiencing a temperature variation of approximately 1° C higher than that of the outer parts.

In the context of the Cajamarca region in 2024, the main objective of this investigation is to provide a solid basis for assessing the suitability of the sandstones from the Casa Blanca deposit in Cajamarca, for use in the construction industry. To date, mineragraphic and crystallographic studies have not been carried out in this area, which has led to the selection of low-quality materials and durability issues in the structures. This study focuses specifically on the sandstones present in the area. It has been complemented by Vertical Electrical Sounding (resistivity) studies to determine the depth of the sandstone bank and assess its profitability. In addition, macroscopic, microscopic and granulometry analyses were carried out to characterize the physical and mineralogical properties. The results reveal the key characteristics of these sandstones, which allowed determining their quality and suitability for construction. This discovery has crucial implications for infrastructure safety and resource sustainability, highlighting the need to implement quality control measures in the selection of materials.

This project evaluated the need for an additional physicochemical analysis of Elkay ezH2O drinking fountains at a private university, utilizing artificial intelligence (AI) to optimize decision-making and ensure water quality in an educational environment. In Peru, access to basic services remains a challenge, and this study explored how AI can enhance potable water management. Using PICO and PRISMA methodologies, key data were collected and analyzed. The bacterial colony growth analysis in two university drinking fountains revealed an inverse correlation between usage frequency and microbial proliferation. Fountain 1, located near restrooms and used by 150 people daily, exhibited lower bacterial growth (3 relative units), possibly due to constant water flow and frequent cleaning. In contrast, Fountain 2, situated in a less frequented area with only 20 daily users, showed significantly higher proliferation (8 relative units), suggesting that low water turnover and reduced maintenance promote bacterial development. These findings highlight the importance of continuous use and proper cleaning practices in maintaining potable water microbiological quality. AI optimization reduced literature collection time by 50%, critical evaluation by 42%, and data synthesis by 57%, while maintaining accuracy and consistency. The results confirm that a physicochemical analysis is necessary for both drinking fountains, thereby strengthening water safety and management in educational settings.

Keywords: Water quality, artificial intelligence, physicochemical analysis, contamination.

The lack of access to electricity affects a large part of the world's population, including 14% of the Peruvian rural population. The production of energy from renewable hybrid systems is considered a sustainable option for the electrification of isolated areas. The study aims to evaluate the technical and economic viability of a hybrid photovoltaic-wind system for electricity generation at the Tambo Farm in Canta. A place that due to its geographical location is not connected to the electrical grid, so they opt for the use of photovoltaic panels for lighting and diesel generators, which limits the development of activities, affects the local economy and contributes to CO2 emissions. Variables such as wind speed and direction and solar irradiation were studied, as well as the load characteristics of the farm to determine an adequate system configuration considering the economic and environmental aspects. The results indicate that the Tambo Farm has an average wind speed of 3.02 m/s and a high solar potential with an average annual irradiation of 5.42 kWh/m2/day. Daily electricity demand was estimated to have reached 31.32 kWh during the peak season and 28.25 kWh during the mid-season. The levelized cost of energy is US$0.350/kWh, considering a lifetime of 20 years. Furthermore, due to its design, it is positioned as the most sustainable alternative, since it does not generate emissions during its operation.

In many countries, road transport is dominated by vehicles with internal combustion engines, whether gasoline or diesel, which represents a challenge for decarbonization in the world. In industrialized countries there is an interest in electric vehicles, Peru is no exception. In order to achieve the emissions reduction objectives, to improve air quality and to reduce GHG, reducing fossil fuel imports and progressively eliminating energy dependency. The impact of electric vehicles on the consumption of fossil fuels and the effects on energy consumption in the transportation sector in Peru were studied. This analysis begins by creating scenarios with different rates of penetration in the local market, with the purpose of forecasting the demand for fossil, as well as the electricity demand that will be generated, LEAP methodology was used for this. In the BAU scenario, the CO2 emissions projections are made without the introduction of this new technology, then different scenarios are created for different EV penetration rates. The results evaluate how its diffusion impacts the environment in the reduction of polluting emissions. In the moderate scenario (AAP), a reduction in energy consumption of 3.87% is expected, indicating that 6.2x106 GJ of electrical energy will be needed, which represents a 4.75% reduction in GHG. This indicates that electric vehicles are an option to improve the air quality of Lima since it is the city with the worst air quality in Latin America.

Generally, the water used by the districts of Lima, Peru, to irrigate the green areas in their jurisdiction is surface water treated with inorganic coagulants such as aluminum sulfate and iron sulfate. These products are chemical compounds of aluminum or iron salts used to make water potable and eliminate impurities through coagulation and flocculation processes; however, the use of these chemical compounds has disadvantages associated with high prices, generation of toxic sludge, and adverse effects on health and the environment. Therefore, this study proposes an alternative to contribute to sustainable management at the local level. Thus, the aim of this paper was to evaluate the efficacy of papaya seed (Carica papaya) and prickly pear (Opuntia ficus indica) as organic coagulants to reduce the turbidity of irrigation water in the district of Magdalena del Mar, Lima, Peru. The methodology is purely experimental, since it uses the jar test to determine the optimum concentrations of both coagulants. The results show that these concentrations are 0.2 and 0.1 g/L, with an efficacy of 97% and 95% with respect to the reduction of turbidity in irrigation water, for papaya seed and prickly pear seed, respectively. For the above reasons, it is recommended that the research be expanded to consider economic aspects in order to evaluate the feasibility of use by local governments.

This study analyzes the interrelationship between
economic growth (GDP), per capita electricity consumption (EC),
per capita CO2 emissions (CO2), financial development (FD),
and government expenditure as a percentage of GDP (GOV) in
Honduras during the period 1980-2022. Using a VAR model, the
temporal dynamics among these variables are evaluated, as well
as their cointegration, Granger causality test, impulse response,
and variance decomposition. The results show a close relationship
between energy consumption, economic growth, and emissions,
with significant implications for the country’s sustainable devel-
opment. This study contributes to the understanding of economic-
environmental interactions in the context of a developing economy
and provides practical insights for designing public policies that
integrate environmental sustainability and economic growth.