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 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.Item Avaliação da Distorção Harmônica Total de Tensão no Ponto de Acoplamento Comum Industrial Usando o Processo KDD Baseado em Medição(Universidade Federal do Pará, 2018) OLIVEIRA, Edson Farias de; TOSTES, Maria Emília de LimaIn recent decades, the transformation industry has introduced increasingly faster and more energy-efficient products for residential, commercial, and industrial use. However, these loads, due to their non-linearity, have significantly contributed to increased voltage harmonic distortion levels, according to Power Quality indicators. This thesis proposes a procedure based on the Knowledge Discovery in Databases (KDD) process to identify impactful loads on voltage harmonic distortions at the Point of Common Coupling (PCC). The methodology involves data collection and analysis with data mining techniques such as Decision Tree and Naïve Bayes applied to data collected by quality meters installed at the main loads and the PCC of an industrial consumer. The process includes data collection, cleaning, transformation, and evaluation steps. The results showed that the KDD process is applicable in analyzing Total Harmonic Distortion of Voltage, allowing the identification of the most impactful loads, with the most significant being the seventh current harmonic of the air conditioning units.Item Modelo híbrido baseado em séries temporais e redes neurais para previsão da geração de energia eólica(Universidade Federal do Pará, 2018) ALENCAR, David Barbosa de; AFFONSO, Carolina de Mattos; OLIVEIRA, Roberto Célio Limão deElectric power generation through wind turbines is one of the practically inexhaustible alternatives for clean energy. However, advances in science and technology are still needed to ensure greater uniformity in generation and increase the participation of wind energy in the energy matrix. This thesis proposes the development of prediction models for wind speed and energy generation over different time horizons — ultra-short, short, medium, and long-term — using computational intelligence techniques, such as SARIMA models and Artificial Neural Networks (ANN), as well as hybrid models combining these approaches. The methodology was applied using meteorological data from the Petrolina/PE station, from the SONDA database, between 2004 and 2017. The results demonstrated that the proposed hybrid model showed better performance, especially for the hourly forecast horizon, significantly contributing to the reliability and security of wind energy integration into the electrical system.Item Algoritmo Memético Cultural para Otimização de Problemas de Variáveis Reais(Universidade Federal do Pará, 2019) FREITAS, Carlos Alberto Oliveira de; OLIVEIRA, Roberto Célio Limão de; SILVA, Deam James Azevedo daTechnology has made great strides in recent years, but computing resources for certain applications need optimization so that the costs involved in solving some problems are not high. There is a very broad area of research for the development of efficient algorithms for multimodal optimization problems. This thesis analyzes the behavior of the Cultural Algorithm, with populations evolved by the Genetic Algorithm, when local search heuristics are used: Tabu Search, Beam Search, Climbing, and Simulated Annealing. One of the contributions of this work was the updating of the topographic knowledge of the cultural algorithm by the use of the triangular area defined by the best results found in the local search. For the analysis, a Memetic Algorithm was developed by hybridizing the Cultural Algorithm with the local search heuristics mentioned, applied one at a time. The evaluations were carried out using multimodal benchmark functions and real constrained optimization problems in engineering areas. The results showed that the developed Cultural Memetic Algorithm presented better results compared to those available in the researched scientific literature.Item Modelo de Reprogramação de Produção em Flow Shop Híbrido Unidirecional Integrando Fabricante por Contrato e seus Clientes(Universidade Federal de Santa Catarina, 2020) UHLMANN, Iracyanne Retto; FRAZZON, Enzo MorosiniContract Manufacturers (CMs) usually schedule their production considering the requirements and constraints of each purchasing industry separately. This strategy limits the quality of production rescheduling due to difficulties in evaluating capacity utilization opportunities and the need to renegotiate delivery commitments. This research aims to propose a novel unidirectional hybrid flow shop rescheduling model to address the integration of a contract manufacturer, responsible for production execution and inventory control, and its industrial customers, who manage delivery planning. The study was structured in three phases: identifying research gaps and opportunities, developing the conceptual model, and modeling a real hybrid flow shop using a multi-method approach. The results highlight the model’s potential to improve production execution and delivery performance, enhance partnerships among stakeholders, and reduce the need for renegotiation.