Documentação de convênios
URI permanente desta comunidadehttps://rigalileo.itegam.org.br/handle/123456789/173
Trabalhos ténico-científico oriundos de convênios com universidades para oferta de turmas de mestrado e doutorados no Estado do Amazonas
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Resultados da Pesquisa
Item UMA NOVA SOLUÇÃO PARA A OTIMIZAÇÃO DO DESPACHO ECONÔMICO E AMBIENTAL UTILIZANDO METAHEURÍSTICAS DA COMPUTAÇÃO BIO-INSPIRADA(Universidade Federal do Pará, 2016) NASCIMENTO, Manoel Henrique Reis; NUNES, Marcus Vinícius AlvesDue to the significant industrial growth in Northern Brazil, especially at the Industrial Pole of Manaus (PIM), there has been an increased need for energy generation, which in this region is provided by thermoelectric plants (UTEs) in over 90% of its total. Thus, it became necessary to use computational tools that help specialists and operators make decisions about the optimal power dispatch, contemplating not only cost reduction but also reducing atmospheric pollution levels. This thesis presents a new solution proposal for the classic optimization problem of Economic Dispatch (ED) and Economic and Environmental Dispatch (EAD), using several Deterministic methods (Iteration Lambda, Quadratic Programming, Newton method) and Bio-Inspired Heuristic methods (Genetic Algorithms, Particle Swarm Optimization, Differential Evolution, Simulated Annealing, Grey Wolf Optimizer, and Artificial Bee Colony), as well as the Non-dominated Sorting Genetic Algorithm (NSGA-II and NSGA-III) for the EAD. The proposal includes shutting down generators with higher operating costs to reduce fuel costs and pollutant emissions like NOx and CO₂. The robustness of the methodology was validated with a set of ten generating units and three benchmark systems described in the literature, showing significant advantages of the new proposed solution.Item SOLUÇÃO PARA O DESPACHO ECONÔMICO AMBIENTAL DE UM SISTEMA DE GERAÇÃO TÉRMICA POR RECOZIMENTO SIMULADO(Universidade Federal do Pará, 2018) BRITO JÚNIOR, Jorge de Almeida; NUNES, Marcus Vinícius AlvesIn recent years, population and government concerns about environmental protection have increased, while the use of fossil fuels for electricity generation remains high due to their availability and the consolidated technology of thermal plants. In this context, it has become common to adopt methodologies to optimize thermoelectric plant operations, considering both fuel costs and pollutant emissions. This PhD thesis aims to apply multiobjective optimization to the environmental economic dispatch (DEA) of thermal plants using simulated annealing, comparing the obtained results with other metaheuristic techniques. This tool was applied with a fitness function involving two objectives — cost and emissions — to find the optimal solution, taking into account the shutdown of less efficient engines, thus ensuring the reduction of financial costs and pollution.Item Tube and Shell heat exchanger optimization taking into account Mechanical restrictionsv(INSTITUTO DE TECNOLOGIA, 2015) RODRÍGUEZ, Maida Bárbara Reyes; RODRÍGUEZ, Jorge L. Moya; FONTICIELLA, Oscar Cruz; DONÉSTEVEZ, Eduardo Migeu Fírvida; Prof Dr. Davi do Socorro Barros BrasilThe study introduces a multi-objective optimization procedure for shell-and-tube heat exchangers, incorporating thermal, hydraulic, and mechanical constraints to ensure equipment durability. Implemented in MATLAB using genetic algorithms (NSGA-II), the method optimizes design variables while adhering to mechanical standards. Results validate the approach against literature examples, highlighting cost and performance improvements.Item Evolución of the passive harmonic filters optimization problem in industrial power systems(INSTITUTO DE TECNOLOGIA, 2014) CABRAL-LEITE, Jandecy; PÉREZ-ABRIL, Ignacio; SANTOS-AZEVEDO, Manoel Socorro; LIMA-TOSTES, Maria Emilia de; HOLANDA-BEZERRA, Ubiratan; Prof Dr. Walter Barra JuniorThe paper examines the evolution of optimization formulations for passive harmonic filters in industrial power systems, highlighting the shift from single-objective to multi-objective approaches. Methods such as sequential quadratic programming (SQP), genetic algorithms (GA), and particle swarm optimization (PSO) are reviewed, focusing on cost minimization, harmonic distortion reduction, and energy loss mitigation. The study demonstrates how multi-objective formulations provide more efficient and comprehensive solutions for complex power quality issues.Item Impacto ecológico de los Intercambiadores de calor de tubo y coraza(INSTITUTO DE TECNOLOGIA, 2014) REYES-RODRÍGUEZ, Maida Bárbara; MOYA RODRÍGUEZ, Jorge Laureano; CRUZ FONTICIELLA, Oscar Miguel; Prof Dr. Walter Barra JuniorShell and tube heat exchangers are essential components in chemical process industries. This paper proposes a new expression to evaluate their environmental impact, combining the “entransy dissipation” concept — introduced as an alternative to entropy — with Angulo-Brown’s “ecological function.” A multi-objective optimization considering irreversibilities and cost is also conducted, using genetic algorithms as the solving method.Item Programação Linear: Um Estudo de Caso sobre a Manutenção e o Estoque Ótimo de uma Organização Aérea(Instituto de Tecnologia, 2018) PESSOA, Alexandra Priscila Costa; MAGNO, Rui Nelson OtoniLinear Programming (LP) was applied in stock control of spare parts for an aerial organization, aiming to identify optimal quantities based on financial resource availability. The goal was to reduce costs and improve control, considering minimum, maximum, and current inventory levels. The developed model, using the Solver tool, resulted in savings of R$ 1,044,088.20 by optimizing inventory compared to the established maximum stock. The case study was conducted in an Aerial Organization located in Manaus, Amazonas.Item Otimização do Tempo de Descarga de Vagões Tanque em Terminal de Distribuição de Combustíveis(Instituto de Tecnologia, 2017) SILVA, Jhonatan Ferreira da; QUARESMA, João Nazareno NonatoThe study focuses on optimizing the discharge time of fuel from tank wagons in a distribution terminal, aiming to enhance operational efficiency within a predefined time frame. Hydraulic systems were analyzed, centrifugal pumps and pipelines were sized, and a calculation spreadsheet based on the Darcy-Weisbach formula for head loss was developed. The proposed solution significantly increased the discharged volume, meeting the terminal's demands.Item Otimização Multicritério Para Despacho Econômico e Ambiental de Usinas Térmicas Utilizando Enxame de Partículas(Universidade Federal do Pará, 2015) AZEVEDO, Raimundo Edney dos Santos; BEZERRA, Ubiratan HolandaOne of the main objectives in the generation of electricity in thermal systems is to minimize fuel consumption through optimal allocation of power generation for each generating unit via the economic dispatch, maintaining pollutant emissions within the limits of environmental licensing, whose integrated solution is subject to a set of equality and inequality constraints. Due to environmental concerns that were developed from the emissions produced by power plants that use fossil fuels, the economic dispatch that minimizes only the total fuel cost can no longer be considered a suitable option of dispatch. This paper therefore proposes a strategy based on mathematical models to solve the problem of load dispatch considering the economic problems and the emission of pollutants, whose premises are combined into an objective function and several electrical and emission constraints using the LabView software environment. The results achieved with the application of the procedures proposed here to a thermal power plant in the city of Manaus-AM appear quite positive towards providing dispatch solutions that proved sustainable with regard to the economic and environmental aspects considered.Item Aplicação da Extrapolação de Richardson na Otimização de Problemas em Fluidodinâmica Computacional(Instituto de Tecnologia, 2020) SANTOS, Alexandre Marcus Madeira; MAGNO, Rui Nelson OtoniThe present work aims to investigate the application of the Richardson Extrapolation (ER) method as an alternative to reduce the simulation time of a specific CFD problem, which is related to a convective and diffusive problem. The geometry under study was built in the Blender software. The initial and boundary conditions were set using the BlenderFDS program, the calculation was done with a CFD code called Fire Dynamics Simulator (FDS), the results were extracted with Smokeview software. In addition, Richardson extrapolation code was developed in the Fortran programming language. Flow field properties such as specific mass, pressure, temperature and velocity were calculated for three mesh sizes with and without the RE method. The extrapolated results show promise for maintaining accuracy at a lower computational cost.Item Uma Abordagem Heurística para os Problemas de Horários Educacionais(Instituto de Tecnologia, 2020) REIS, Williams Sousa dos; QUARESMA, João Nazareno NonatoEducational institutions face the challenge of scheduling class timetables every new academic term, a complex problem in computational complexity theory. This study proposes a tool to automate the scheduling process at the Institute of Biodiversity and Forests (IBEF) of the Federal University of Western Pará (UFOPA) using a genetic algorithm. Experiments with real data demonstrated that the approach satisfactorily meets the problem’s constraints within an acceptable computational time, bringing advantages such as reduced scheduling time and better allocation of physical and human resources.