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Working Fluid Characterization and Performance Assessment of Subcritical Organic Rankine Cycles Based on the Lee–Kesler Approach for Energy Recovery
(Journal of Energy Resources Technology, Part A: Sustainable and Renewable Energy, 2026-04-29) Porto Hernandez, Luis Angel; Osorio, Julian D.; Rivera-Alvarez, Alejandro; Ordonez, Juan C.; Hovsapian, Rob; Grupo de Investigación en Ingeniería Naval y Offshore
In this work, a generalized model using the Lee–Kesler approach based on the corresponding states principle is developed to assess the performance of subcritical Organic Rankine Cycles operating with different working fluids. Each fluid is characterized by five parameters: the acentric factor, critical temperature, critical pressure, molar mass, and the ideal-gas ratio of specific heats at the critical temperature. The model was developed using the compressibility factor modified version of the Benedict–Webb–Rubin equation proposed by Lee and Kesler and the enthalpy and entropy functions to calculate thermodynamic state properties. The model was validated by comparing the results calculated with the model and working fluid thermodynamic properties obtained with the CoolProp database. This comparison was conducted for 91 working fluids, obtaining a relative error below 5% for 88 out of the 91 fluids (∼97%). A generalized parametric study was conducted to determine the influence of the pinch point and each fluid parameter on the performance of Organic Rankine Cycle (ORC) systems. It was found that efficiency increases with critical temperature, ideal-gas ratio of specific heats at the critical temperature, and acentric factor, reaching up to 13%. The developed model enables the evaluation of ORC system performance for existing working fluids. It also allows the formulation and evaluation of new fluids to enhance the performance of the ORC while retrieving energy from any kind of source; and likewise, the methodology can be applied to other power generation cycles.
Slide 2 of 5
Slide 3 of 5 Ítem Solo Metadatos
Sistema inteligente de monitoreo de la calidad de la energía en tiempo real
(Universidad Tecnológica de Bolívar UTB, 2025) Peña Rodríguez, Linda Marcela; Serpa Pereira, Ariel Andrés; Ligardo Orozco, Gabriel Segundo; Duque Pardo, Jorge Eliecer
El objetivo de este proyecto de titulación es el diseño e implementación de un sistema portátil para el monitoreo inteligente de la calidad de la energía eléctrica en tiempo real, orientado a fortalecer los procesos de formación en la Universidad Tecnológica de Bolívar. El sistema surge como respuesta a la necesidad de contar con herramientas didácticas modernas que permitan a los estudiantes comprender, de forma práctica y segura, el comportamiento de los sistemas eléctricos bajo distintas condiciones de carga. La solución integra un medidor de parámetros eléctricos con un dispositivo de comunicación IoT, que transmite datos de voltaje, corriente, potencia y distorsión armónica a una plataforma en la nube para su visualización y análisis remoto. Los productos desarrollados incluyen el sistema de medición, paneles de visualización en la nube y guías de laboratorio estructuradas. El proyecto fue desarrollado de acuerdo a estándares de ingeniería como IEEE 1159, IEC 61000-4-30, IEEE 519 y NTC 2050, garantizando
Slide 4 of 5 Ítem Solo Metadatos
Air quality monitoring system with predictive model
(Universidad Tecnológica de Bolívar UTB, 2025) Mendoza Ruiz, Santiago; Leal Echenique, Pablo; Acevedo Patiño, Oscar; Monterrosa Barrios, Rafael Enrique
Given the constant need to monitor air quality due to increasing human activity, different alternatives for monitoring air quality under the guidelines provided by authorities such as the World Health Organization are increasingly necessary. In the case of countries like Colombia, specifically the city of Cartagena, which has its own air quality monitoring system for monitoring high-pollution areas, monitoring potential risk indicators such as particulate matter less than 10 and 2.5 micrograms (PM10 and PM2.5), and ozone (O3), despite having made significant progress in environmental policies, air quality monitoring systems must be strengthened. Therefore, the proposed solution is a solar-powered air quality monitoring system with a predictive model, using a group of sensors to take measurements of ambient pollutants. and through a Wi-Fi wireless connection, these data are transmitted to the server and database for display in the interface with the prediction algorithm, so that it contributes to the improvement objectives, and acts as a guide to ensure compliance with the guidelines proposed by entities such as the World Health Organization and the Institute of Hydrology, Meteorology and Environmental Studies. This document also describes a software system developed to receive, store, and analyze environmental data collected by sensors deployed in Cartagena since 2014. The system also includes predictive models capable of forecasting pollutant levels one hour into the future using machine learning techniques.
Slide 5 of 5 Ítem Solo Metadatos
Data acquisition system for unmanned surface water vehicle
(Universidad Tecnológica de Bolívar UTB, 2025) Ortega Cohen, Rafael Alfonso; Acevedo Patiño, Oscar; Ojeda Caicedo, Vilma Viviana
Esta tesis describe el dise˜no y construcci´on de un sistema de adquisici´on y transmisi´on de datos para un veh´ıculo superficial aut´onomo (USV). El sistema se compone de varios componentes electr´onicos que permiten la adquisici´on de datos de diferentes sensores y su transmisi´on a trav´es de la red. Se abordan aspectos como la selecci´on de sensores, la implementaci´on del hardware, la programaci´on del software y las pruebas realizadas para verificar su funcionamiento. El sistema desarrollado es capaz de capturar y transmitir datos de diferentes variables f´ısicas en tiempo real, lo que lo hace ´util para aplicaciones como monitoreo ambiental, inspecci´on de estructuras submarinas y exploraci´on de recursos naturales.
