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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Item Sistema de Extração de Conhecimentos de Redes Neurais(INSTITUTO DE TECNOLOGIA, 2015) AZEVEDO, Manoel S. Santos; NEVES, Cleonor C. das; CASTRO, Adriana Rosa G; LEITE, Jandecy Cabral.; Prof. Dr. Carlos Tavares da Costa JúniorThis paper proposes a system for extracting knowledge from neural networks aided by fuzzy logic, emphasizing the generation of a rule bank representing process behavior. The system enables the construction of models for control or information retrieval, particularly in cases where traditional modeling is unfeasible. The approach employs neuro-fuzzy networks to extract knowledge distributed across network connections.Item OTIMIZAÇÃO MULTIOBJETIVO DA COMPENSAÇÃO DE POTÊNCIA REATIVA EM REDES DE DISTRIBUIÇÃO CONSIDERANDO RESTRIÇÕES DE DISTORÇÃO HARMÔNICA(Universidade Federal do Pará, 2014) AZEVEDO, Manoel Socorro Santos; BEZERRA, Ubiratan HolandaThe correct location of capacitor banks in electric power distribution networks aims to compensate for excess reactive power flow through transmission lines, reducing operational costs by decreasing energy losses and increasing active power transmission capacity while ensuring appropriate voltage and power factor levels. The proliferation of nonlinear loads has introduced new challenges due to the harmful effects of harmonics on power quality. This thesis develops a computational tool using computational intelligence techniques with genetic algorithms (GA) for multiobjective optimization of reactive power compensation in electric distribution networks, capable of optimally locating and sizing compensation units while achieving economic benefits and complying with Brazilian power quality standards. The approach considers the use of capacitor banks and harmonic filters and applies the NSGA-II algorithm to determine Pareto-optimal solutions. The methodology enables the determination of reactive power compensation considering harmonic presence while maintaining compliance with normative limits on harmonic distortion.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 ANÁLISE EXPERIMENTAL DO PROCESSO DE EXTRAÇÃO DO ÓLEO ESSENCIAL DE PUXURI [Licaria puchury-major (Mart.) Kosterm., Lauraceae] POR ARRASTE COM VAPOR(Universidade Federal do Pará, 2014) MAFRA, Eduardo de Souza; FARIA, Lênio José Guerreiro deThis work experimentally analyzes the extraction process of essential oil from seeds and aerial parts of puxuri by steam distillation. Puxuri [Licaria puchury-major (Mart.) Kosterm., Lauraceae] is an Amazonian forest species with great potential for the bioproducts industry (pharmaceuticals, cosmetics, food, and natural pesticides) due to the presence of safrole in its essential oil. An anatomical and physicochemical characterization study was carried out on plant parts used for oil extraction. The drying kinetics of seeds, thin branches, and leaves were studied, and the influence of convective drying on safrole content and final moisture was quantified. Statistically designed experiments identified the optimal levels of process variables to maximize both essential oil yield and safrole content within the adopted experimental domain and 90% confidence. The essential oil was chemically analyzed by GC-MS to identify its major components. Desorption isotherms were obtained for powdered puxuri seeds, well-fitted by the GAB model, with estimated sorption heats and equilibrium moisture contents. The essential oil showed low toxicity, and the solid residue from the extraction process can be used as raw material for the production of cold-process transparent soaps.Item MODELO MATEMÁTICO PARA OTIMIZAÇÃO MULTIOBJETIVO DO DESPACHO ECONÔMICO AMBIENTAL DE USINAS TÉRMICAS USANDO O NSGA-II(Universidade Federal do Pará, 2017) MORAES, Nadime Mustafa; BEZERRA, Ubiratan HolandaOne of the priority tasks for thermoelectric plants is to supply the requested energy demand, ensuring the lowest possible cost. This task is especially important in the Northern Region of Brazil, particularly in the Manaus Industrial Hub (PIM), where much of the energy is supplied by Thermoelectric Power Plants (UTE). The selection of generators and their work regime is known as Economic Dispatch (DE). However, global concern about pollution caused by fossil fuels has made it essential to incorporate not only cost reduction but also the limitation of pollutant emissions in UTE operations. Thus, Environmental Economic Dispatch (DEA) emerges, aiming to simultaneously reduce costs and emissions. This thesis proposes an innovative mathematical model for DEA, using the NSGA-II evolutionary algorithm with two objective functions: fuel cost and amount of emissions. The model also introduces the Emissions Index, a new function to evaluate environmental contamination, considering the influence of the most harmful pollutants. The model was applied to engines of two UTEs in the city of Manaus, showing satisfactory results. The methodology proved robust when validated in two case studies: a set of ten thermal generating units and the IEEE 118-bus system.Item MEDIÇÃO DA INTEROPERABILIDADE LOGÍSTICA COM USO DO MODELO DE EQUAÇÕES ESTRUTURAIS(Universidade Federal de Santa Catarina, 2017) SANTIAGO, Sandro Breval; RODRIGUEZ, Carlos Manoel TaboadaThe logistic interoperability (IOL) measurement model can contribute to improving operations, responsiveness, and costs of organizations in terms of logistics operations. The main objective of this thesis is to contribute to the development of a measurement model of the degree of logistic interoperability, as well as to the theoretical creation and support of the concept of logistic interoperability. Based on the established research method, a portfolio was built serving as a basis for the elaboration of the conceptual model, discussed and legitimized with logistics specialists from the Manaus Industrial Hub (PIM). The conceptual model included the following exogenous latent variables: strategy, inbound logistics, outbound logistics, and internal logistics, along with the endogenous variable: IOL itself. Thirteen indicators and 76 observable variables were constructed. Structural equation modeling (SEM) was applied with the partial least squares technique (PLS-PM) using SmartPLS® software. The results demonstrated the adherence of the proposed model, with convergent and discriminant validity, consistency, and reliability, with effective application in an industrial company of the PIM.Item MODELO PARA AVALIAR O DESEMPENHO DA LOGÍSTICA INTERNA(Universidade Federal de Santa Catarina, 2017) LIMA, Orlem Pinheiro de; RODRIGUEZ, Carlos Manuel TaboadaThe market has demanded efficiency, effectiveness, creativity, and agility from organizations, requiring them to be competitive and sustainable. Logistics is a fundamental strategic link, yet the literature lacks studies on the organization and evaluation of internal logistics. This thesis aims to develop a Model to Evaluate the Level of Internal Logistics Performance, identifying its component parts and how they are structured and measured. The study was based on bibliographical, bibliometric, and empirical research, identifying a gap. A methodology with 16 steps was developed, using multicriteria methods, Solver Excel, and the Fuzzy Logic toolbox (MATLAB). Initially, 15 component parts of internal logistics were established, adjusted, and validated as 13 through interaction with industry specialists. The model was tested in three companies, confirming consistency in the analyses with 95% accuracy. Results include identifying component parts, defining priority weights, properties of components, and a mathematical equation to calculate an index defining the Model, offering both conceptual and practical contributions to the literature and business competitiveness.Item GESTÃO TERMOECOLÓGICA DE USINAS TERMOELÉTRICAS COM MOTORES DE COMBUSTÃO INTERNA: MODELO BASEADO EM ASPECTOS TÉCNICOS, ECONÔMICOS E AMBIENTAIS(Universidade Federal de Santa Catarina, 2017) SILVA, Wagner Ferreira; CAMPOS, Lucila Maria de SouzaAlthough there is a global trend toward renewable energy use, in thermoelectric plants, the main energy source remains fossil fuels. These plants, while generating the required electrical power for consumption, are significant sources of environmental pollution. This thesis develops a proposal for the thermoecological management of thermoelectric plants, jointly evaluating the thermal and environmental efficiency of internal combustion engines powered by fossil fuels, specifically fuel oil and natural gas. Different mathematical models were created and used in the development of procedures integrating technical (efficiencies), economic (fuel consumption and cost), and environmental (emission index, ecological function, and eco-efficiency) aspects. For the first time, the concept of entransy is applied to evaluate engine efficiency and to enhance the ecological function initially developed by Angulo-Brown. The concept of eco-efficiency was employed in the multi-objective optimization of load dispatch, allowing managers to evaluate different simulations in pursuit of higher thermoecological efficiency. Practical evaluation was carried out through the application of these procedures in a specific software for the type of thermoelectric plants analyzed. The main results include theoretical advances in thermoecological management and the creation of a practical tool for data analysis and decision-making. The effectiveness of the proposed procedures was demonstrated in real cases with different generation and fuel type scenarios.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 PRÉ-DESPACHO DE CARGA EM USINAS TERMOELÉTRICAS CONSIDERANDO A GESTÃO DA MANUTENÇÃO VIA LÓGICA FUZZY(Universidade Federal do Pará, 2018) FONSECA JUNIOR, Milton; BEZERRA, Ubiratan HolandaThis thesis presents a new proposal for load pre-dispatch considering the technical conditions of the engines of thermoelectric power plants by combining several maintenance and diagnostic techniques and using computational intelligence based on fuzzy logic. Diagnosis of the technical conditions of the engines is done using lubricant analysis, vibration analysis, and thermography. With this data and statistical analysis it is possible to predict when an engine can fail and consider this in the load pre-dispatch. To increase engine reliability and power supply, a Maintenance Management Program (MMP) was developed using management tools, applying only four TPM (Total Productive Maintenance) pillars and combining them with predictive maintenance and diagnostics, thus allowing the reduction of failures of plant equipment. Some results achieved after the implementation are: reduction of the annual maintenance cost, reduction of corrective maintenance, increase of the MTBF (Mean Time Between Failures), and decrease of MTTR (Mean Time To Repair) in all areas. In addition, the proposed pre-dispatch scheme ensures the demanded power with a high degree of reliability and quality.