FRRo - I+D+i - Artículos en Revistas
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Item A NGCC power plant with a CO2 post-combustion capture option : optimal economics for different generation/capture goals(Elsevier, 2013-11-13) Mores, Patricia Liliana; Godoy, Ezequiel; Mussati, Sergio Fabián; Scenna, Nicolás JoséFossil fuel power plants are one of the major sources of electricity generation, although invariably release greenhouse gases. Due to international treaties and countries regulations, CO2emissions reduction is increasingly becoming key in the generators’ economics. NGCC power plants constitute a widely used generation technology, from which CO2capture through a post-combustion and MEA absorption option constitutes a technological challenge due to the low concentration of pollutants in the flue gas and the high energy requirements of the sequestration process. In the present work, a rigorous optimization model is developed to address the design and operation of power plants coupled to capture systems. The equations-oriented modeling strategy here utilized can address greenfield designs in which design and operating variables are simultaneously optimized, in order to ensure that the system will be able to meet process requirements at minimum cost. Then, an analysis of the electricity cost, CO2avoidancecost, energy penalties, as well as the optimal values of decision variables is thoroughly pursued. Different economic tradeoffs are comprised at the optimal solutions for the joint project, as given by the different discrete and continuous decisions that the designer needs to weight in order to achieve the desired generation and capture goals, including the number of parallel capture trains, the inherent efficiency of each recovery unit, and the overall emissions reduction rate. In this context, the joint optimization of the NGCC power plant with the amine-based capture option results in a novel configuration where 731 MW are optimally generated for supplying both the external demand and the capture plant energy requirements, and achieving an overall CO2emissions reduction rate of 82.1% by means of a three capture trains arrangement, where 13.4% of the flue gas stream is bypassed and 94.8% of the CO2gets recovered at each unit. This new generation/capture project features optimal values of its economic performance indicators, with an avoidance cost of 81.7 US$ per tonne of CO2 captured, which can Ministerio de Educación y Deportes Universidad Tecnológica Nacional Facultad Regional Rosario Universidad Tecnológica Nacional – Facultad Regional Rosario Zeballos 1341, Rosario, Santa Fe, Argentina only be secured by simultaneously optimizing the design and operating variables of both systems on a start-of-the-art optimization algorithm.Item A risk– based design of ammonia refrigeration systems in food manufacturing plants.(2019-01) Biscotti, Paola Silvina; Reinheimer, María Agustina; Scenna, Nicolás JoséThis paper presents a risk-based design procedure of ammonia based refrigeration processes taking into account the allocation of the manufacturing plant and the surrounding environment vulnerability at early stages of process design. In addition, the proposed design framework allows the integration of a process simulator with vulnerability assessment packages. As a case study, the design of the refrigeration system for a surimi manufacturing plant is presented.Item A strategy for the economic optimization of combined cycle gas turbine power plants by taking advantage of useful thermodynamic relationships(Elsevier, 2010-11-01) Godoy, Ezequiel; Benz, Sonia Judith; Scenna, Nicolás JoséOptimal combined cycle gas turbine power plants characterized by minimum specific annual cost values are here determined for wide ranges of market conditions as given by the relative weights of capital investment and operative costs, by means of a nonlinear mathematical programming model. On the other hand, as the technical optimization allows identifying trends in the system behavior and unveiling optimization opportunities, selected functional relationships are obtained as the thermodynamic optimal values of the decision variables are systematically linked to the ratio between the total heat transfer area and the net power production (here named as specific transfer area). A strategy for simplifying the resolution of the rigorous economic optimization problem of power plants is proposed based on the economic optima distinctive characteristics which describe the behavior of the decision variables of the power plant on its optima. Such approach results in a novel mathematical formulation shaped as a system of nonlinear equations and additional constraints that is able to easily provide accurate estimations of the optimal values of the power plant design and operative variables.Item Agregado de valor a expeller de soja.(2019-12) Godoy, Ezequiel; Llopart, Emilce; Morselini, Santiago; Mijoevich, Ayelén; Romero, María del Pilar; Aimaretti, Nora; Reinheimer, María AgustinaEl presente trabajo se enfoca en la extracción acuosa de proteínas a partir de expeller de soja y su posterior precipitación, así como en el análisis de los efluentes sólidos resultantes de este proceso a fines de evaluar su potencial valorización considerando principalmente el contenido de fibra dietaria. Para esto, se evaluaron y caracterizaron muestras de expeller provistas por PyMES de la región, que fueron sometidas al proceso de recuperación de proteínas y fibras bajo un amplio rango de condiciones operativas. Los resultados obtenidos fueron sometidos a análisis de varianza, y permiten detectar potenciales alternativas de procesamiento para la generación de productos de mayor valor agregado.Item An optimization model for evaluating the economic impact of availability and maintenance notions during the synthesis and design of a power plant(Elsevier, 2017-01-27) Godoy, Ezequiel; Benz, Sonia Judith; Scenna, Nicolás JoséIn this paper, we introduce an optimization strategy in order to comprehensively quantify the impact of availability and maintenance notions during the early stages of synthesis and design of a new natural gas combined cycle power plant. A detailed state-space approach is thoroughly discussed, where influence of maintenance funds on each component’s repair rate is directly assessed. In this context, analysis of the reliability characteristics of the system is centered at two designer-adopted parameters, which largely influence the obtained results: the number of components which may fail independently at the same time, and the number of simultaneous failure/repair events. Then, optimal solutions are evaluated as the availability-related parameters and the amount of resources assigned for maintenance actions are varied across a wide range of feasible values, which enable obtaining more accurate and detailed estimations of the expected economic performance for the project when compared with traditional economic evaluation approaches.Item Análisis de la molienda de expeller de soja evaluando la performance de diferentes tipos de molinos.(2017) D’Emanuele Ares, Carolina; Accoroni, Cecilia; Ferigutti, Leonardo; Godoy, Ezequiel; Reinheimer, María AgustinaEl objetivo del presente trabajo es analizar la performance del proceso de molienda y tamizado de expeller de soja, subproducto de la extracción de aceite por el método de extrusado-prensado, para su posterior utilización en la obtención de productos proteicos. La molienda se realiza con tres molinos diferentes: de bolas (impacto), de rodillos (cizalla y compresión) y de cuchillas (cizalla), bajo diferentes condiciones de operación. El análisis de tamizado se realiza utilizando la serie de tamices ASTM Nº 5, 6, 10, 12, 25, 30 y ciego. Los productos obtenidos se clasifican en finos, medios, y gruesos, analizándose así los rendimientos de cada fracción en cada molino. Al ser la fracción de interés la correspondiente a las partículas de tamaño medio, se concluye que los molinos de cuchillas y de rodillos son mas adecuados debido a que se alcanzan rendimientos superiores al 55% cuando se los opera con una sola pasada. Asimismo, se calculan y reportan las energías especıficas desarrolladas en las moliendas con la Ley de Bond para exponer una comparativa.Item Antecedentes para establecer estrategias para el desarrollo del mercado de miel en Argentina.(2022) Pozzo, Lucrecia; Díaz, Pilar; Ciappini, María CristinaArgentina es uno de los principales productores de miel del mundo. Sin embargo, el consumo interno de este producto es reducido. Para generar una estrategia adecuada para comercializar miel en nuestro país, es importante abarcar las necesidades, preferencias y expectativas del consumidor. Con ese objetivo, se indagó acera de la opinión de los consumidores para comprender las perspectivas del mercado interno de miel en Argentina. Se realizó una encuesta de la que participaron voluntariamente 620 personas entre 18 y 64 años.Item BLEVE : estimación de distancias seguras basándose en variables de diseño.(2022-03-11) Kraft, Romina Alejandra; Mores, Patricia Liliana; Scenna, Nicolás JoséEntre los eventos accidentales más peligrosos se encuentran las explosiones BLEVE. Las graves consecuencias ocasionadas por la onda expansiva generada hacen indispensable su análisis. Los modelos matemáticos disponibles son complejos en cuanto a la cantidad de datos y esfuerzo computacional requeridos para su resolución. En este trabajo, se presenta un modelo simple y directo para la estimación de distancias seguras entre una fuente de explosión y un receptor caracterizado por el nivel de vulnerabilidad. La obtención del mismo se lleva a cabo mediante la selección de variables de diseño convenientes y el análisis de su influencia en los resultados brindados por un modelo matemático con fundamento teórico (modelo base), la formulación de una única expresión matemática con parámetros a determinar (modelo simple) y la resolución de un problema de optimización en el que se maximiza el R2 que resulta de la comparación entre ambos modelos. Finalmente, se demuestra una muy buena performance del modelo propuesto, permitiendo la obtención confiable de distancias seguras desde las primeras etapas del diseño.Item BLEVE: safety distances estimation by simple models based on the Jakob number.(2023-07-03) Kraft, Romina Alejandra; Mores, Patricia L.; Orellano, Santiago; Scenna, Nicolás JoséOne of the most important points in the design of inherently safe processes is to estimate reliable distances among process units at preliminary stages of the plant project to minimize losses and damages caused by the potential occurrence of technological accidents. Therefore, in this paper the achievement of simple, general, dimensionless and reliable equations (Simple Dimensionless Models SDMs) for the direct estimation of safety distances considering the occurrence of BLEVE (Boiling Liquid Expanding Vapour Explosion) event, is proposed. The developed models directly relate safety distances with critical design/operation variables (involved substance, vessel volume, target vulnerability and explosion temperature), which are easily accessible at early stages of the plant project. SDMs are achieved by analysing the influence of these simple variables on the safety distances, which are estimated using a selected rigorous model (Reference Model RfM). This task is simplified by the incorporation of the Jakob Number as an input variable, allowing to obtain dimensionless models and simultaneously an adequate representation of the explosion conditions and the involved substances. As result, the achieved SDMs demonstrate a particularly good fit with respect to the RfM estimations and, at the same time, reliability and versatility. As it is shown in the analysed study cases (involving critical decision variables for the process design and the system safety), the SDMs prove to be also accurate, general, and easily incorporable into more complex optimization problems (QRA analysis, design of emergency plans, safety distance estimation to minimize the probability of domino effects, optimal layout designs, among others).Item Comparison between conventional and ultrasoundassisted techniques for extraction of anthocyanins from grape pomace. Experimental results and mathematical modeling(Elsevier, 2017-03-16) Bonfigli, Mónica Beatriz; Godoy, Ezequiel; Reinheimer, María Agustina; Scenna, Nicolás JoséConventional and ultrasound assisted extraction of anthocyanins from grape pomace are here analyzed and compared. Mathematical modeling is used firstly to represent the extraction process and determine the associated mass transport parameters, and afterwards, to obtain useful predictions on how the system behaves under different operating conditions. The mathematical model here developed is based on first-principles, in order to more accurately describe the underlying phenomena that govern the extraction process behavior. Extraction of anthocyanins from grape pomace is performed using a hydro alcoholic solution as solvent, and experimental runs at different temperatures were carried out for both conventional and ultrasound-assisted techniques. A good agreement between experimental and computed extraction yields was achieved as the reported statistical parameters indicate. Obtained results highlight the performance differences between both processes, and pinpoint which variables impact the most in the extraction yield.Item Computational engineering: mathematical models in heat flow dynamics study.(WSEAS, 2022) Gago, Eduardo Alberto; D’Alessandro, Lucas Iván; Zurbriggen, Marcelo M.According to the latest educational innovation trends in engineering, new teaching paradigms emerge to achieve higher development in intellectual capacities, acquisition of skills, substitution of outdated techniques for more efficient and fast means, and a better integration of knowledge in the teaching and learning processes. In line with these paradigms, we have set up new pedagogic methodologies together with computer resources to work with the development of functions with a complex variable and Laplace transform from a multidisciplinary view in the subject Advanced Calculus of the Mechanical Engineering Programme. The didactic proposal presented is about systems related with heat transfer in a fluid where the concepts used in the models are approached analytically and graphically making the curricular content meaningful and facilitating the interpretation and conceptualization of the theory.Item Computational mathematics in engineering careers: study of electrical circuits from the perspective of interdisciplinary teaching.(WSEAS, 2023) Gago, Eduardo Alberto; D’Alessandro, Lucas Iván; Szekieta, Paola AndreaThe new challenges of the educational engineering framework pretend to encourage the interdepartmental integration and interaction between basic sciences and the module of applied technology subjects. This paper presents a learning approach of interdisciplinary learning in the teaching of trigonometric functions, with special emphasis on the sinusoidal function, showing how the transformation of this function is related to fundamental concepts in the training of electrical energy engineers. The product of trigonometric functions makes it possible to analyze the instantaneous power of passive linear electric circuits and highlight the importance of studying the phase angle between voltage and current associated with the inductive or capacitive nature of the circuit. The development of the contents in the class contemplates the interdisciplinary and integrative aspect that must be implemented from the basic cycle as a bridge towards the applications of mathematics, articulating the problems of Engineering and the use of technologies in teaching.Item Cost-based comparison between membrane systems and chemical absorption processes for CO2 capture from flue gas.(2019-05-09) Arias, Ana Marisa; Mores, Patricia Liliana; Scenna, Nicolás José; Caballero, José Antonio; Mussati, Miguel Ceferino; Mussati, Sergio FabiánAn optimization study of membrane-based separation systems for carbon dioxide capture from flue gas of power plants is conducted, considering the possibility of employing up to four stages and using diverse options to create the required driving force. By proposing a superstructure-based model, the number of stages, recycle options, use of feed compression and/or permeate vacuum, driving force distribution along each membrane stage, operating conditions and equipment sizes are simultaneously optimized in order to minimize the total annual cost at high capture ratios and purity targets. Thus, different optimal arrangements are obtained and the total cost is reduced in about 20% compared without employing vacuum. Besides the optimal number of stages diminishes with decreasing purity, but it is independent of the capture ratio. Also, the total cost decreases with the increase of the membrane permeance requiring lower values of operating pressure and membrane areas. Permeance values higher than 2400 GPU lead to lower number of stages and recycles for the same separation target. By contrast, a sensitivity analysis shows that the total cost increases with the increase of the electricity price, capacity factor, and capital recovery factor, which are the more influential parameters in the objective function. Despite new optimal operating and design conditions are obtained when these parameters vary, no modifications in the optimal arrangement are observed.Item Determinación de parámetros característicos del proceso de secado de frutillas (fragaria ananassa) aplicando modelos cinéticos.(2023) Ciappini, María Cristina; Stoppani, Fernando SantiagoLa ingesta de frutillas constituye un aporte de compuestos antioxidantes cuando se incorpora a la dieta humana. Sin embargo, se trata de un fruto altamente perecedero. El secado es una alternativa para prolongar la utilización de las frutillas, reduciendo las pérdidas poscosecha de biocompuestos y facilitando el transporte, por reducción de costos. Hay diversos métodos para llevar a cabo esta operación, sin embargo, a nivel industrial el secado convectivo es la opción de menor costo operativo y de inversión. El objetivo de este trabajo fue secar frutillas y modelar la cinética de secado, a 60°C, 70°C y 80°C en un secadero con circulación forzada de aire. Se ensayaron cinco modelos matemáticos, a través de regresiones no lineales. Para todos los modelos propuestos se evaluó la bondad de ajuste de los datos experimentales, mediante el coeficiente de determinación (R2) y la raíz cuadrada del error cuadrático medio (RMSE). Se calculó también el coeficiente de difusividad efectiva. El modelo con mejores ajustes fue el Polinómico, seguido por el modelo de Midili y el modelo Exponencial generalizado. En estos tres casos, los valores de R2 fueron mayores a 0,96. El coeficiente de difusividad efectivo obtenido se encontró dentro de los valores esperados.Item Development of extrinsic functions for optimal synthesis and design : application to distillation-based separation processes.(2019-04-09) Manassaldi, Juan Ignacio; Mussati, Miguel Ceferino; Scenna, Nicolás José; Mussati, Sergio FabiánThis work deals with the development and implementation of mathematical models in the General Algebraic Modeling System (GAMS) environment for optimization purposes, involving extrinsic functions that are executed outside GAMS from dynamic-link libraries (DLL) implemented in the programming language C. Three DLL libraries are developed to calculate thermodynamic properties: the Raoult's law for vapor-liquid equilibrium, the Non-Random Two-Liquid (NRTL) model, and the Peng–Robinson equation of state. A detailed description on how GAMS and DLL libraries interact is presented. Case studies dealing with the optimal design of multi-component distillation columns with increasing complexity levels are discussed. For the proposed case studies, the obtained results show that the usage of the proposed extrinsic functions allows to significantly enhance the model implementation compared to the traditional model implementation approach, and to considerably reduce the model size as well as the computational time required by the optimization algorithms.Item Diseño de una actividad de aprendizaje interdisciplinar en red como propuesta para desarrollar las competencias de resolución de problemas, trabajo en equipo y comunicación efectiva.(2021) Godoy, Ezequiel; Fernández, Carina; Méndez, Claudia M.; Romero, Mara C.; Villegas, Noelia K.La implementación de una educación universitaria basada en competencias requiere de estrategias de enseñanza y aprendizaje innovadoras que promuevan la formación articulada e interdisciplinaria de los estudiantes. El objetivo del trabajo es presentar una propuesta de aprendizaje colaborativo en red de estudiantes universitarios de carreras de ingeniería para el desarrollo de sus competencias de resolución de problemas, trabajo en equipo y comunicación efectiva. A los efectos, se describe la actividad de aprendizaje basado en problemas propuesta, incluyendo su contextualización, la estrategia de implementación, los recursos necesarios y los instrumentos de evaluación de la misma. Asimismo, se detallan dos casos de estudio en que se propone implementar dicha propuesta, abarcando carreras de ingeniería dictadas en cuatro universidades argentinas. Se espera que esta propuesta de aprendizaje colaborativo provea un encuadre para experiencias educativas interdisciplinares similares, orientadas al desarrollo de las competencias que los estudiantes universitarios necesitarán en su futura vida profesional.Item Economic evaluation of protein recovery process from Argentinian soybean extruded-expelled meals.(2022) Accoroni, Cecilia; Godoy, Ezequiel; Reinheimer, María AgustinaSoybean extruded-expelled (EE) meals are the byproduct of the soybean oil extraction process commonly used by small and medium- sized Argentinean companies. In this study, the economic feasibility of protein concentrate production from soybean EE meals was evaluated. A processing daily capacity of 18 ton of EE meals was considered, resulting in an annual production of 1,500 ton of protein concentrate. The proposed methodology considered a pH change process consisting of 3 cycles of alkaline extraction at 60 ºC followed by isoelectric precipitation at low temperature using hydrochloric acid, which resulted in a final product with a protein content of 75 % (db) and a productivity of 0.28 kg product/kg soybean EE meals. To analyze a practical case, proposed production was carried out as an extension of a typical medium-sized soybean extrusion- expelling plant. As a result, the necessary capital investment was estimated to be US$2.7 million. Additional financial performance indicators were computed, including net present value and internal rate of return, and it was concluded that the proposal to obtain a protein concentrate from soybean EE meals was economically viable on an industrial scale if sale prices are above 2,267 US$/ton.Item Effects of spray drying and lactic acid fermentation on the technological characteristics of yellow and green pea (Pisum sativum L.) Protein products(Agricultural and Food Science, 2024) Guraya, María Ángeles; Iguti, Antonia Miwa; De Ros Triboli, Edison Paulo; Ribeiro, Eliana Paula; Accoroni, Cecilia; Espósito, María Andrea; Torresi, Pablo Antonio; Reinheimer, María Agustina; Godoy, EzequielThis research evaluates a pH-shifting and drying process for producing powdered protein products from yellow and green peas (Pisum sativum L.), aiming to enhance their technological characteristics. In the precipitation stage, lactic acid bacteria (Lactobacillus Plantarum and Lactobacillus Lactis) served as a generally recognized safe precipitant agent. The fine fraction (<150 µm) from yellow and green peas milling acted as an encapsulant/adjuvant agent in the drying stage. Results showed high process productivity (0.41–0.51 kg protein product/kg pea flour) and low specific water consumption (52.58–62.39 kg water/kg protein product) with this approach. Variations in processing parameters affected protein content, yield, and specific water consumption. Significant differences were observed in wetting time, water activity, flowability (Carr index), cohesiveness (Hausner index), density, particle size, and colour of the protein products, depending on the processing alternatives. This flexibility allows tailoring the properties of the powdered protein product for various food technology applications.Item Enhancing protein extraction from soybean expeller: exploring the impact of precipitating agents and flour-to-water ratios on functional properties(2024-07) Andrín, María Nieves; Guraya, María Ángeles; Accoroni, Cecilia; Torresi, Pablo Antonio; Godoy, Ezequiel; Reinheimer, María AgustinaThis study investigates sustainable methods for producing protein from soybean expeller via pH-shifting processes, aiming to reduce water usage in alkaline extraction by adjusting solid23 to-liquid ratios per cycle and employing isoelectric precipitants like lactic acid and lactic acid bacteria (Lactiplantibacillus plantarum and Lactococcus Lactis) to enhance functional and antioxidant properties over a wide pH range. Results indicate that the most efficient approach involves three 1:10 (w/v) extraction cycles with lactic acid bacteria as precipitants, demonstrating high productivity and low specific water consumption. Protein content and recovery yield showed no significant differences compared to alternatives with higher water consumption or less eco-friendly precipitants. Despite lower solubility, protein products precipitated with lactic acid bacteria formed stable emulsions, exhibiting superior free radical scavenging activity.Item Evaluación de la composición y producción de concentrados proteicos de diferentes variedades de arveja amarillas y verdes (Pisum sativum L.)(INTA, 2024) Accoroni, Cecilia; Espósito, María Andrea; Magnano, Luciana; Guraya, María Ángeles; Godoy, Ezequiel; Reinheimer, María A.El aumento constante en los últimos años de la población mundial provocó la búsqueda de fuentes proteicas vegetales alternativos a las proteínas animales. La arveja es una excelente alternativa, en su formato de concentrados y aislados proteicos, como ingredientes en la industria alimentaria, garantizando una alimentación suficiente y sostenible para vegetarianos, veganos y celíacos. El objetivo de este trabajo fue evaluar la potencialidad comercial de una variedad comercial y dos variedades precomerciales del programa de mejoramiento INTA-FCA UNR (Primogenita, B320 y B313, respectivamente) en comparación con seis variedades comerciales, (Reussite, Viper, Kingfisher, Aragorn, Meadow y Astronaute) contemplando la composición de las harinas crudas y la solubilidad de las proteínas. Se encontró que el contenido proteico fue superior en los tres años de evaluación para Primogénita, Viper (ambas de semilla verde) y B320, Reussite y Meadow (de semillas amarillas). Además, que tanto el contenido proteico como solubilidad resultaron ser superiores en las harinas crudas provenientes de variedades verdes, lo cual facilita la disponibilidad de proteínas totales a ser extraídas durante la producción de aislados/concentrados proteicos. Respecto a la solubilidad, se observan valores superiores a 65 % indicando disponibilidad de proteínas extraíbles por no sufrir desnaturalización durante su acopio y molienda. Se detectaron valores de actividad ureásica inferiores a 0,300. Esto indica que no es necesario aplicar tratamiento térmico además de una posible disminución de la proteína soluble. Para rendimiento de proteína, Primogénita tuvo los mayores rendimientos (>50%) en los tres años. Esta variedad resulta ser promisoria para la producción de concentrados/aislados proteicos ya que tiene un mayor contenido de proteína y disponibilidad para ser extraídas con un alto rendimiento de producto. Estos resultados abonan al programa en pro de obtener variedades con buen comportamiento agronómico y producción de concentrados proteicos potenciando el agregado de valor en la industria alimenticia.
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