Publicaciones en Congresos, Conferencias y Jornadas

Permanent URI for this collectionhttp://48.217.138.120/handle/20.500.12272/535

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    Protection location in distribution networks using particle swarm optimization
    (VII ARGENCON, 2024-09-20) Loyarte, Ariel S.; Manassero, Ulises; Sanseverinatti, Carlos I.; Rossi, Lautaro D.
    Circuit breakers in radial topology distribution networks protect the system against short circuits. In addition, other switching devices are usually used to reconfigure the network in post-fault scenarios, thus reducing the number of affected users. This strategy is intended to reduce the loss of profits for the distribution company, as well as the economic penalties it must face due to the energy not supplied (ENS) under these conditions. This work proposes the implementation of a particle swarm optimization algorithm (PSO) to determine the best location of new protection circuit breakers to be incorporated in the system, in order to minimize the total annual ENS, without violating usual operational constraints. For this purpose, it is combined with other procedures designed to simulate faults on a mathematical model of the network, determine the operating protection and the best possible reconfiguration. The applications are tested on a network in the province of Santa Fe (Argentina), from which it is shown that an inadequate location of the new protections may result in counterproductive situations in terms of the obtained ENS. On the other hand, the tests show that the developed methodology converges to the optimal solution with substantially lower computation times than those demanded by other evaluated alternatives, such as direct search solutions and Monte Carlo simulations. To improve the performance of the PSO, it is combined with a clustering technique that divides the solution space into smaller subdomains, thus enabling a more effective exploration by the algorithm.
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    Computational design of building envelopes as thermal metamaterials
    (SynerCrete 2023, 2023-06-11) Fachinotti, Víctor D.; Álvarez-Hostos, Juan C.; Peralta, Ignacio; Caggiano, Antonio
    A metamaterial is a composite with unprecedented properties, either in nature or in the market. Specifically designed, a metamaterial exhibits either extraordinary or “à la carte” macroscopic physical properties, or allows the device made of it (the “metadevice”) to have an optimal response. In the context of the thermal performance of a building, let the metadevice be the whole building envelope, say the “metaenvelope”. Then, the metamaterial in the metaenvelope is determined in order to maximize the building energy efficiency. To this end, we apply the optimization-based metamaterial design approach, which consists in solving a nonlinear constrained optimization problem where the objective function is the energy consumption for cooling and heating, and the design variables define the metamaterial in the envelope. Particular emphasis is given to the use of NRG-foams, which are foamed concretes with embedded microencapsulated phase change materials developed within the framework of the EU H2020 project NRG-STORAGE. Finally, metaenvelopes having NRG-foams as insulation materials will be compared with a standard envelope in terms of the energy consumed by the enclosed building to keep the indoor thermal comfort.
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    Modelo inverso iterativo acoplado a algoritmo genético para la calibración de modelos de simulación térmica de edificios
    (XL MECOM, 2024-11-08) Demarchi, María Cecilia; Albanesi, Alejandro E.; Favre, Federico; Álvarez-Hostos, Juan C.
    En este estudio se implementa un modelo inverso iterativo basado en optimización con algoritmo genético para la calibración y validación de modelos de simulación computacional del rendimiento térmico de edificios. Este modelo ajusta dinámicamente las resistencias térmicas del aire, la absortancia térmica y solar de los materiales exteriores, la infiltración de aire y el coeficiente convectivo para minimizar las discrepancias entre las temperaturas de aire medidas y simuladas. Este meticuloso enfoque garantiza una calibración precisa y una evaluación efectiva del rendimiento térmico y energético del modelo, proporcionando información valiosa para la optimización de las estrategias de diseño energético de edificios. Se considera como caso de estudio los edificios construidos en Bulgaria, Sofia, en el marco del proyecto NRG STORAGE (Integrated porous cementiciuos Nanocomposites in non-Residential building envelopes for Green active/pasive energy STORAGE).
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    Spheric tanks : a review and proposal
    (JIT, 2023-10-26) Utz Goettig, Luis Iván; Oliva, Diego Gabriel
    En vistas a que no se han encontrado revisiones relacionadas con la construcción de tanques esféricos, en el presente trabajo se aborda una primera revisión. Esta abarca temas relacionados con el cálculo constructivo y del costo asumido en la fabricación de tanques esféricos para almacenamiento de gases. Se observa que los avances en la literatura del costeo en el proceso constructivo no ha sido lo suficientemente desarrollado. Finalmente, en las conclusiones, se esboza un futuro trabajo a realizar relacionado con una optimización en el costo y construcción de este tipo de tanques utilizando la norma ASME para recipientes bajo presión. Para poder optimizar el coste del proceso constructivo será necesario aunar conocimientos de ingenieros mecánicos e industriales. La integración de saberes es fundamental para la generación de resultados novedosos en la ingeniería.
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    Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology
    (ICPR-Americas 2020, 2021-05-12) Stürtz, Josías A.; Marchetti, Pablo A.
    This work presents a mathematical-algorithmic methodology to handle scheduling decisions on multiproduct multistage batch facilities, developed with the aim to solve problems of industrial size. The proposal is based on the iterative construction of a solution by solving a sequence of subproblems associated to each stage, identifying and fixing the critical decisions at each step, and keeping rigorous information on the bounds. The methodology is applied to a real case study obtaining good quality solutions in competitive computing times.
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    Optimal design of forest supply chain considering efficient residues and byproducts reuse
    (2015) Montagna, Jorge Marcelo; Corsano, Gabriela; Campanella, Sandra
    Forest supply chain includes different actors which work together to obtain many products through a set of processes that must be efficiently integrated. Nevertheless, the great number of involved elements and the available production alternatives hinder to attain an optimal supply chain design. A key element to achieve this objective is the adequate utilization of residues and byproducts that abound in these industries. Nowadays, the production of bioethanol from forest raw materials is also a new option that must be addressed in the context of the supply chain. Taking into account the particular conditions of the forest industry in Argentina, a mixed integer linear programming formulation is proposed in order to attain the optimal design of the forest supply chain, emphasizing the appropriate use of residues and byproducts and the production of bioethanol from these raw materials.