Repositorio Institucional

Acceso a la producción científico-académica del ITBA, resultado de sus actividades de investigación y docencia, en cumplimiento de la Ley 26.899 de Repositorios Digitales Institucionales de Acceso Abierto.


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Tesis de maestría
Design study of the MoNiKa-ORC-turbine and comparison with experimental results
(2023-03-31) Niño Avella, Cristian Leonardo; Wiemer, Hans-Joachim
The main objective of the project is to develop, verify, and validate a MATLAB code which implements a mean-line analysis for the ORC-Turbine located in the MONIKA facility. The mean-line analysis method is a useful tool to design turbomachines. In this study it was used to simulate and analyze the performance and properties into the turbine, under different operating conditions by analyzing its properties in a mean radius for each one of the inside inlet and outlet cross sections of the stages. It was taken into consideration different loss correlations in order to achieve a better result. For the implementation of the mean-line analysis, the geometry and design properties for the ORC-Turbine were used, along with the experimental data obtained from the MONIKA facility in previous works. These data were used for the verification and validation process, ensuring that it accurately represents the behavior of the turbine under different scenarios. The MATLAB code was designed to implement the mean-line analysis method, which can simulate the performance of the ORC-Turbine under various operating conditions, such as different mass flow rates, inlet and outlet temperatures, and pressures. The results of the mean-line analysis showed that the developed code can accurately predict the performance and the properties of the ORC-Turbine, within a reasonable level of accuracy. The code can also be used to evaluate the impact of different design modifications, such as changes in the inlet and outlet thermodynamic properties of the fluid, on the turbine's performance.
Tesis de maestría
A layout of the tritium plant subsystems for the european demonstration fusion power plant
(2023-03-28) Constantin, Federico Miguel; Schwenzer, Jonas
The European demonstration fusion power plant (EU-DEMO) project intends to prove the commercial viability of nuclear fusion as a source of safe and clean energy. This fusion power plant will be fueled by a 1:1 deuterium-tritium (hydrogen isotopes) mixture that will need to be recycled for environmental and economic reasons due to the low burn-up fraction. Tritium is a radioactive isotope that requires a special design of any handling facilities to be “tritium compatible” and a series of layers of protection to prevent any release of tritium to the environment above the permitted values. Moreover, tritium is scarcely available which makes it again crucial to design the tritium systems, the so called fuel cycle, such that the inventory is minimized. The EU-DEMO fuel cycle will be housed inside two buildings, the tokamak building and the tritium plant building. The first one will contain the reactor, its fueling systems and the direct internal recycling loop. The tritium plant building, which is the subject of this work, will accommodate an inner tritium plant loop and an outer tritium plant loop. In this thesis, a methodology for estimating the required footprint of the tritium plant and optimizing its layout is proposed. This is accomplished by identifying all the necessary equipment of the plant, estimating their physical dimensions, and allocating them into primary and secondary confinements (e.g. gloveboxes and rooms), for which their footprint and volume is obtained. By arranging these rooms inside a multistory building, the final layout is achieved. This methodology takes into consideration the fuel cycle processes and at the same time defines personnel and process safety, construction, operation and maintenance criteria to obtain an optimized layout suitable for the entire life cycle of the facility, while keeping in mind the need for minimizing the tritium inventory. Afterwards, this work puts forward a piping dimensioning strategy, defining design basis and calculation sequences supported on European Norms as well as optimization criteria to achieve a reasonably low tritium inventory in piping required to connect confinements and rooms. The presented tritium inventory determination focuses on the piping under normal operation of the plant, while the inventory inside the units is out of the scope of this work, even though it is taken into account for the development of the layout. The application of the developed methodologies resulted in the identification of 627 process equipment which have been grouped into 29 gloveboxes, 2 coldboxes and 19 metalboxes. These confinement structures can be housed inside a compact seven-story-building design, with a projected footprint of 2200 m2, a cumulative footprint of 11240 m2, an external volume of 57030 m3 and external dimensions of 35.8 m of height, 74.0 m of length and 30.9 m of width. Lastly, the resulting tritium inventory inside interconnecting pipes under normal operation is found to be in the order of 0.2 g with only 10 pipe types (outer diameter and thickness combinations).
Tesis de maestría
Design of a MoNiKa-turbine and condenser model in Modelica/Dymola and comparison with previous Simulink models and experimental results
(2023-03-06) Maier, Mirco; Wiemer, Hans-Joachim
To research optimization possibilities in supercritical ORC processes for geothermal power production the Modular low-Temperature Circuit Karlsruhe (MoNiKa) was built at Campus North of the Karlsruhe Institute of Technology. Several research tasks have been conducted over this installation focusing on individual components. The present master thesis describes the development of a coupled MoNiKa turbine-condenser model using the Modelica modeling language with the Dymola development environment. For thermodynamic components the commercial library TIL was used. To calculate the properties of the working fluid a Dymola-REFPROP interface was utilized. For the turbine model an empirical efficiency correlation of the MoNiKa turbine was developed from experimental data and implemented. The determination of the turbine inlet pressure is based on Stodola’s cone law which has been adjusted to the MoNiKa turbine in previous studies. To reduce computational time the input data has been pre-processed by applying filters. For the condenser model grid convergence studies were carried out to ensure precision and convergence. The simulation results of the developed models were compared to the results of previous Simulink models for turbine and condenser. The model was then validated using experimental data from several MoNiKa test runs from 08-10 November 2021 representing a range of different operating conditions. The quantitative and qualitative agreement of the simulated turbine shaft power with the experimental data could be improved compared to the previous models. The developed coupled turbine-condenser model is capable of providing close approximations of turbine shaft power and condenser outlet variables over a wide operating range of the MoNiKa plant. In addition, the computation time could be kept within reasonable limits to enable further extensions of the model to complete the MoNiKa cycle. The influence of individual input parameters on the output variables could be determined by means of a sensitivity study to guide further improvements in the measuring equipment.
Proyecto final de Grado
BrainWalkVR : aplicación en realidad virtual para el entrenamiento físico-funcional de los pacientes con la Enfermedad de Parkinson
(2023-11-13) Koh, Jungmin; Bestani, Santiago; Cresmaschi, Fabián
La enfermedad de Parkinson (EP) es un trastorno neurodegenerativo crónico y progresivo que afecta los circuitos motores en el cerebro, resultando en síntomas como lentitud en los movimientos, rigidez, temblores y problemas de coordinación. Además, los pacientes pueden experimentar dificultades cognitivas y todo el conjunto de complicaciones culminan en una marcada alteración en la marcha. Los tratamientos farmacológico y quirúrgico que existen en la actualidad no mejoran significativamente el trastorno de la marcha, lo cual impacta en la calidad de vida de los pacientes. En este proyecto final de grado, se diseñó una aplicación de entrenamiento en realidad virtual (RV) llamada BrainWalkVR, que sirve como herramienta de rehabilitación física y funcional en pacientes con Parkinson. Se llevó a cabo una fase de testeos con 11 participantes sanos, para evaluar la usabilidad del sistema, el grado de síntomas asociados con el cybersickness, y el rendimiento físico que logra exigir una sesión de entrenamiento de BrainWalkVR. Los resultados indicaron que la aplicaci ́on es altamente usable debido a la facilidad de aprender y al alto grado de satisfacción en los usuarios. Además, los participantes presentaron bajo nivel de síntomas de cybersickness, y el análisis de datos inerciales reveló que los participantes realizaron una cantidad significativa de pasos y giros, recorriendo una distancia considerable, durante el entrenamiento. El proyecto concluye que la aplicación BrainWalkVR tiene potencial para complementar los tratamientos de rehabilitación convencionales de la EP, y tendrá un impacto positivo en la calidad de vida de los pacientes al mejorar su movilidad y coordinación. A futuro, se sugiere realizar pruebas adicionales con un grupo más amplio de participantes y colaborar con profesionales de la salud para integrar la aplicación en la práctica clínica.
Proyecto final de Grado
Proyecto final : InnovateCorp
(2024-02-01) Rausch, Milena; Piombi, Valentina; Vásquez, Sofía; Robatto, Lautaro; Morando, Martín
El proyecto se centrará en realizar un diagnóstico empresario y un plan de acción para la empresa argentina InnovateCorp, ubicada en Olivos, provincia de Buenos Aires, y recientemente en Barcelona, España, dedicada al diseño, construcción y equipamiento de espacios de trabajo. La primera etapa del trabajo tendrá como objetivo realizar un relevamiento de la situación actual de la empresa, para poder comprender el entorno macro y microeconómico en el que opera, y cómo estos elementos interactúan con las operaciones cotidianas de InnovateCorp. La segunda etapa estará dedicada al diagnóstico empresario, con el objetivo de identificar los desafíos y problemas clave que enfrenta la empresa en la actualidad. Esta etapa se llevará a cabo en colaboración con Gonzalo, nuestro punto de contacto con la empresa, que será la persona encargada de validar el relevamiento realizado en la primera etapa y a su vez aportar información clave de la empresa. La tercera y última etapa del trabajo se enfocará en definir un plan de acción que establezca los recursos necesarios y los plazos para alcanzar sus objetivos estratégicos. Este trabajo, al enmarcarse en el contexto de un proyecto final de carrera universitaria, buscará alcanzar una comprensión profunda de la situación de InnovateCorp, explorando su entorno, desafíos y oportunidades, con el propósito de desarrollar un plan de acción efectivo que impulse su crecimiento y éxito empresarial.