The growing awareness to advance new ways to transform renewable materials for producing clean fuels, under technical and sustainable viability, is evident. In this regard, hydrogen arises as one of the cleanest and energetic biofuels in the market. This work addresses the modeling and evaluation of a biomass gasification topology employing process simulation along with an environmental and inherent safety analysis. The presented pathway considered two renewable raw materials (cassava and rice waste) based on their vast availability in north Colombia regions. We employed Aspen Plus process simulation software to model the process, setting biomasses (and ash content) as nonconventional solids in the software and inclusion of FORTRAN subroutines for handling solid properties. Otherwise, the environmental evaluation was performed applying the waste reduction algorithm (WAR). At the same time, safety assessment involves a comprehensive approach based on the inherent safety index (ISI) and the process route index (PRI) methods. Data generated from the implementation of rigorous process simulation of biomass gasification allowed us to determine the needed aspect for performing process analysis methodologies. Results revealed that this topology generates a total flow of 3944.51 kg/h with more than 97% vol of H 2 , from the sustainable use of 19,243 kg/h of cassava waste and 15,000 kg/h of rice straw. From the environmental viewpoint, the process showed moderately to a high overall rate of potential environmental impacts (PEIs), with a higher contribution from process sources than energy sources. It indicates that most of the generated impacts would come from self-operation than from the energy supply generation. In the case of process safety, the topology obtained an ISI score of 35, which represents that modeled gasification would operate below 50% of the expected neutral standard for a physical–chemical process. Complementing the safety evaluation, the obtained PRI suggests that compared to other processes, the analyzed topology shows relatively adequate performance considering the nature of this type of process.
El objetivo del artículo es describir una metodología mixta para el desarrollo de objetos virtuales de aprendizaje basados en realidad aumentada, formada por la metodología de desarrollo de objetos virtuales de aprendizaje AODDEI (Análisis, Obtención, Diseño, Desarrollo, Evaluación, Implementación) y la ingeniería de software basada en componentes. Se determinaron las características de la metodología mixta con el fin de seleccionar los atributos que mejor se adaptaron a las tecnologías requeridas para implementar la realidad aumentada en dispositivos móviles. Se aplicó la metodología resultante a un caso de estudio y se desarrolló un objeto virtual de aprendizaje, mostrando la viabilidad funcional del procedimiento propuesto. Se concluye que el uso de la ingeniería de software basada en componentes permitió a la metodología AODDEI ser más versátil para la creación de objetos virtuales de aprendizaje basados en tecnologías emergentes.
ResumenSe ha desarrollado una herramienta para detectar los estilos de aprendizaje en estudiantes que utilizan Sistemas de Gestion del Aprendizaje (SGA) en el test de Felder y Silverman. Para la construcción del producto se utilizó la metodología de desarrollo de software por componentes y se adaptó el módulo lstest de Moodle. La herramienta permite detectar los estilos de aprendizaje que poseen los estudiantes, ubicándolos como activo-reflexivo, visual-verbal, sensitivo-intuitivo y secuencia-global de acuerdo a Felder y Silverman. La metodología fue utilizada en un grupo de estudiantes de primer semestre del programa de Ingeniería de Sistemas de la Universidad de Cartagena en Colombia. Luego de aplicarles el test se generaron listados detallados y globales de acuerdo a la escala utilizada por los mismos autores. Con la aplicación del test usando la herramienta el docente puede aplicar estrategias de aprendizaje permitiendo construir recursos y materiales idóneos adaptados a los estudiantes. Palabras clave: ambientes de aprendizaje, estilos de aprendizajes, enseñanza, plataforma Moodle. Methodology for Detecting Learning Styles in Students using the Moodle Platform AbstractA methodology for detecting learning styles in students using Learning Management System (LMS) based on Felder and Silverman test is proposed. To construct the product the methodology for software development by components was used and the lstest Moodle module was adapted. The proposed methodology can detect learning styles that students possess, placing them as active-reflective, visualverbal, sensory-intuitive and comprehensive-sequencing according to Felder and Silverman. As a case study, the methodology was tested by a group of freshmen students of the Systems Engineering program of the University of Cartagena in Colombia. With the use of this tool the instructor can apply learning strategies allowing the construction of resources and materials adapted to the student.
Levulinic acid (LA) recently has attracted much attention as a promising biorefinery platform due to its potential to be economical and sustainable. This paper addresses technical, techno-economic, and exergetic analyses of an industrial LA production via acid-catalyzed dehydration. The process was simulated through Aspen Plus, considering a processing capacity of 15,175.60 kg/h of banana empty fruit bunches. The global productivity yield was 25.56%, producing 3883.13 kg/h of LA. The techno-economic analysis evidenced that this process may be an attractive alternative for biomass valorization, considering the obtained financial results. This process's total production cost was 0.178 $USD per kilogram of biomass and a total annualized cost of $USD 29,163,638.95. Exergy analysis revealed that this process had an irreversibility rate of 1.48 × 10 5 MJ/h. The pretreatment stage presented the lowest exergetic efficiency. Globally, the exergy efficiency was 53.76%, which is within the reported results for analogous biomass transformation processes.
El objetivo de este artículo es presentar un sistema de información soportado en recuperación XML como una herramienta para el apoyo en la gestión de órdenes de trabajo en una PYME de Cartagena para generar información que apoye el proceso y en la toma de decisiones. Se utilizó como metodología de desarrollo una estructura de proceso general de la ingeniería de software. Se determinó la utilidad del software mediante el diseño, construcción e implementación en las PYME, validando su uso a través de una prueba de usabilidad. Lo anterior permitió medir el grado de aceptación de los usuarios finales, obteniendo como resultados ahorro en costos en la gestión del archivo histórico y apoyo en la toma de decisiones. Basado en los resultados obtenidos, se concluye que la gestión de órdenes de trabajo se ve optimizada al implantar el sistema de información.
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