Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 8th June 2026, 07:20:23pm America, Santiago
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Daily Overview |
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31B
Session Topics: Virtual
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| Presentations | ||
9:00am - 9:08am
Energy generation system using a simple OTEC with solar collection in the Honduran Caribbean Sea Universidad Nacional Autónoma de Honduras - (HN), Honduras The document presents a detailed evaluation of the thermodynamic efficiency of an OTEC cycle (Ocean Thermal Energy Conversion) that uses a concentrated ammonia–water mixture as the working fluid. The research models two configurations: the standard OTEC cycle, which relies solely on the natural ocean thermal gradient, and a modified version that incorporates a solar collector to raise the inlet water temperature. Using software, iterations were performed by varying parameters such as pressure and temperature, seeking the optimal point of performance and net power output. The results show that although the simple cycle achieves low efficiency due to the small thermal difference, increasing the thermal potential—especially with solar assistance—causes a drastic increase in efficiency and useful power. The study concludes that the system’s efficiency is directly linked to the thermal gradient and that the power generated is linearly proportional to the mass flow rate of the working mixture. 9:08am - 9:16am
Characterization of Water Quality and Management of Sources in the Uyuca Biological Reserve (RBU), Honduras Universidad Zamorano, Honduras Ensuring the supply of safe water represents a growing challenge in the context of climate change and population growth. This study characterized the availability, quality, and community management of water in six communities supplied by the Uyuca Biological Reserve (RBU) during the 2025 dry season. Flow measurements and sampling were carried out in 26 sources, analyzing physicochemical and microbiological parameters, as well as metals such as iron, aluminum, manganese, copper, and zinc. A correlational analysis among water quality parameters was also conducted. To evaluate community management, focus groups and semi-structured interviews were developed with potable water administrative boards. The results indicate that although most sources present “good” quality according to the Canadian Water Quality Index, there are risks due to the presence of fecal coliforms, acidic pH, and high concentrations of aluminum and iron, associated with geological conditions and deficient management of intake structures. At the organizational level, weaknesses were identified such as lack of legal status, regulations, technical training, and sustainable operation and maintenance plans. Water treatment is limited: few chlorination systems function properly, and knowledge of residual chlorine monitoring is low. The applied tariffs are variable and, in some cases, insufficient to cover operational costs. It is recommended to strengthen the technical and organizational capacities of the boards, promote water treatment, and conduct monitoring during the rainy season to analyze seasonal variations. This study highlights the importance of conserving the RBU as a strategic source and the need for institutional support to ensure safe water and sustainable community management. 9:16am - 9:24am
Optimized blockchain architectures for prosumer-centric energy markets: A performance and policy framework Universidad Latinoamericana de Ciencia y Tecnología - (CR) This study shows a complete, multi-methods framework that improves blockchain designs for energy markets focused on end users by using large-scale data to test the framework and integrating policy. The study looks at 10,329 transactions on the Ethereum/PoS, Hyperledger, and Ethereum/PoA platforms and finds that Proof-of-Stake is the best consensus mechanism. It has 58% faster transaction speeds (*p* < 0.001), 67% more energy efficiency, and 99.2% reliability, which solves the decentralization trilemma. Structural equation modeling finds important nonlinear adoption levels, such as a 15% ROI turning point (β = 0.47) that leads to 83% involvement and a usability-trust route that accounts for 63% of trust creation (β = 0.52). A Multi-Criteria Decision Analysis gives technical interoperability 0.42 weight and finds that legal frameworks based on principles get 17% more compliance than rule-based options. Results that have been shown to be better than old ways include 93.5% faster payouts and 78.3% lower costs for agents. This study uses design standards, behavioral economics, and policy analysis to make the first performance-validated PoS optimization model. It also makes measured acceptance levels and a weighted rollout plan with timeframes ranging from 0 to 10 years. It is already affecting EU trial programs and setting new norms for blockchain-energy study. It is also giving lawmakers a scientifically sound reason to switch to green energy. 9:24am - 9:32am
Study of the Maximum Flow, InTrails of the “La Tigra” National Park using the Rational Method and Constant Design Intensity. 1Universidad Tecnológica de Honduras (HN), Honduras; 2Universidad Tecnológica de Honduras (HN), Honduras El artículo de investigación está orientado a calcular el Flujo Máximo Generado en la Zona Central de Senderos del Parque Nacional "La Tigra" aplicando el Método Racional y la Intensidad Constante de Diseño. Es importante considerar que este parámetro depende de las características de los sitios estudiados, por lo que la importancia de cada gestión, mitigación o mejora; considerar su propio Flujo Máximo, evitando así cálculos de diseño basados en otros contextos diferentes de las condiciones ambientales, morfológicas y topográficas de los sitios de estudio. 9:32am - 9:40am
Impact of Hourly Time Resolution on Hydrological Modeling of Ungauged Basins: A Systematic Review of Accuracy UNIVERSIDAD CIENTIFICA DEL SUR, Perú Flood risk management in ungauged basins faces critical limitations due to the scarcity of in-situ data and the inadequacy of daily records to capture the dynamics of extreme events. The main objective of this study was to evaluate, through a systematic review using the PRISMA methodology, the impact of hourly temporal resolution on the accuracy of hydrological models in ungauged basins compared to daily scales. Seventy scientific articles from Scopus, Web of Science, and ScienceDirect, published between 2010 and 2025, were analyzed. The results show that hourly resolution drastically reduces the uncertainty in estimating peak flows and time to peak, overcoming the systematic underestimation inherent in daily aggregation, a crucial factor for flash flood modeling. Furthermore, the integration of high-resolution satellite precipitation products with machine learning techniques and data fusion was identified as the most effective strategy to address the lack of information. It is concluded that the adoption of the time scale constitutes an indispensable paradigm shift for the development of robust early warning systems and the design of resilient infrastructures in the face of climate change. 9:40am - 9:48am
Development of a numerical algorithm for volumetric evaluation of retrograde reservoirs with data scarcity Universidad Tecnológica Empresarial de Guayaquil Characterization of gas condensate (retrograde) reservoirs requires determining the in-situ fluid composition for accurate reserve calculation. Traditionally, in the absence of complete PVT studies in mature or marginal fields, graphical correlations (Rzasa & Katz, Standing) are used; however, these are susceptible to human reading error and hinder automation. This work presents the development and validation of a numerical algorithm that digitizes such correlations, allowing for the rapid volumetric evaluation of Original Gas in Place (OGIP) and associated condensates. The methodology integrates polynomial fitting equations and pseudocritical property correlations into a computational workflow. The algorithm was validated through case studies, showing a deviation of less than 3.05% compared to the standard graphical method. The proposed tool facilitates agile reserve re-evaluation in data-scarce scenarios, eliminating the subjectivity of visual interpretation. | ||
