1000 resultados para Simulação de sistemas


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A iluminação pública é uma área importante de consumo energético. Actualmente existem uma variedade de soluções tecnológicas que permitem diminuir esse consumo e o correspondente impacte ambiental. No entanto, estas soluções tecnológicas nem sempre são utilizadas devido à falta de suporte informático que permita o planeamento para instalação de redes de iluminação, e/ou actualização das tecnologias utilizadas na rede de iluminação existente. Este relatório apresenta uma ferramenta de simulação do consumo de energia na iluminação pública, através da definição de cenários pelo utilizador, nos quais são simuladas a escolha de lâmpadas, luminárias e sistemas de controlo para cada ramal de electricidade, representados sobre um plano geográfico, que permita o cálculo de indicadores de apoio à decisão. A solução apresentada neste relatório, desenvolvida sobre o sistema de web mapping Google Maps, e sobre a plataforma de desenvolvimento para a web Ruby on Rails, permite o desenho sobre o mapa de uma rede de iluminação pública, e o cálculo em tempo de execução do custo e consumo de energia dos cenários de iluminação simulados pelo utilizador. Através de expansões futuras esta ferramenta poderá contribuir para a eficiente optimização de redes de iluminação pública.

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O uso de energias renováveis está cada vez mais presente no nosso quotidiano. A forte aposta por parte de várias empresas, grupos privados e habitações domésticas na produção de energia renovável tem vindo a crescer bastante nos últimos anos, porque além de ser uma energia limpa, é economicamente vantajosa. No âmbito residencial na Ilha da Madeira, tem havido um grande crescimento na microprodução de energia fotovoltaica. Para que se consiga converter energia garantindo os critérios e qualidade da energia elétrica maximizando a eficiência são necessários conversores eletrónicos de potência, responsáveis pela conversão e gestão da energia produzida a partir de uma fonte de energia renovável e conversão para a REE (Rede Elétrica de Energia). A oferta de soluções na área tem vindo a aumentar com o aumento dos pedidos do mercado, existindo cada vez mais concorrência, devido ao surgimento de sistemas mais compactos e eficientes. Neste trabalho é desenvolvido um sistema para microprodução de energia renovável, através de uma ou mais fontes de energia, de maneira a que este seja compacto e eficiente, além de adicionar várias soluções a nível de software (automatismos) de maneira a aumentar as funções do sistema sem utilizar hardware adicional. Apresentam-se também resultados de simulação de maneira a demonstrar todas as funcionalidades do sistema. Conseguiu-se demonstrar que é possível melhorar o rendimento, qualidade de energia e diminuir os custos dos sistemas de conversão de energia utilizando software, mantendo o hardware do sistema. Além das melhorias no sistema que o software permite, conseguiu-se adicionar novos modos de funcionamento ao sistema utilizando automatismos.

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Nesta dissertação de mestrado propõe-se simular um sistema para melhorar a qualidade da energia eléctrica produzida por um parque eólico, utilizando conversores multinível NPC costas com costas e controlo óptimo predictivo. Neste trabalho é feito o controlo da potência activa e reactiva que é fornecida à rede de energia eléctrica, a partir de um gerador eólico e é optimizada a forma de onda alternada e sinusoidal de tensão trifásica sem neutro, minimizando o tremor das correntes e a distorção harmónica total, contribuindo para melhorar a qualidade de energia da rede ou de sistemas de alimentação para aplicações críticas como são os sistemas de telecomunicações. Recorre-se ao Matlab/Simulink para simular e comparar os resultados obtidos no sistema de conversão de energia de um parque eólico com o conversor costas com costas com controlo óptimo predictivo com os resultados obtidos com o conversor costas com costas PWM, disponível na biblioteca do software de simulação.

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Os escoamentos no interior de zonas urbanas, apresentam grande heterogeneidade, pelo que a sua caracterização, requer uma formulação que incorpore explicitamente essa variabilidade espacial. A caracterização, simulação (à escala) e modelação do escoamento em canais artificiais e a aplicação a um caso de estudo, no Laboratório de Hidráulica da UMa, representa o cerne desta dissertação. Os objetivos principais desta dissertação são: a caracterização e desenvolvimento de ferramentas de simulação do comportamento do escoamento em canais artificiais, no caso de uma variação súbita dos caudais afluentes, mecanismos de prevenção de cheia; o desenvolvimento de um modelo de simulação hidrodinâmico, considerando os escoamentos variáveis em superfície livre no caso de situações de cheia, na simulação entre as condições variáveis das afluências, das condições hidromorfológicas do canal e da instalação e operação dos sistemas e regulação dos escoamentos; e ainda a análise da viabilidade da simulação (modelo) na gestão e prevenção de cheias em canais artificiais. Numa primeira instância, procede-se à recolha de toda a informação bibliográfica disponível. Com recurso aos modelos digitais do terreno e ao programa ArcGis, é efetuada toda uma exaustiva caracterização da bacia hidrográfica, relativa ao caso de estudo (canal artificial), a partir da qual foi possível obter os dados inerentes às características geométricas, características de relevo e características de drenagem. Segue-se a análise da precipitação com recurso a folhas de cálculo e dados fornecidos pelas instituições pertinentes, de forma a obter valores de precipitação média diária e anual para aplicação de fórmulas, tanto para calcular valores de tempo de concentração, bem como caudais. O próximo passo é selecionar os troços relevantes do canal em estudo e com recurso ao equipamento disponível no Laboratório de Hidráulica da UMa, à folha de cálculo programada e ao programa HEC-RAS procede-se à simulação/modelação/análise desses troços, comparando o resultado/comportamento simulado, com o expectável e entre os vários métodos. Por fim, são expostas as conclusões, bem como algumas considerações finais e uma listagem de objetivos a manter ou alcançar nos próximos anos, onde se incluem, ações prioritárias e recomendações visando, não só melhorar o processo de caracterização do escoamento em canais artificiais, bem como simplificar a prevenção e gestão de cheias.

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This research consists in studying the influence of the various type of construction systems of roofs with their energy efficiency as well as on the cost benefit for the commercial buildings on the temperatures condition of the city of Natal/RN. The main goal of this research is to analyze the cost benefit of the construction systems of roofs available on the market, taking into consideration the energy efficiency of the commercial buildings artificially air conditioned in order to be used by the projectors and to be adequated to the temperatures condition of the city of Natal/RN. The method of valuation of the cost benefit of roof systems consists in six steps: Features and simulation of the reference building; Analyze of sensitivity; Analyzes, features and simulation of alternatives of roof construction systems; Analyze of the cost of implementation; Analyze of the benefits of the alternatives comparing to the base case; And finally the analyze of the cost benefit. The model type chosen as reference was stores with pre molded buildings and system of roof with fiber ciment and ceiling . The thermal results showed the influence of the roof system on the energy efficiency of the building. The Final results of the simulations of the alternatives comes to a conclusion that the absortance is the variable that presents the best cost benefit relation and the reduction on the thermal transmittance still has limitations because of the high cost

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This Masters Degree dissertation seeks to make a comparative study of internal air temperature data, simulated through the thermal computer application DesignBuilder 1.2, and data registered in loco through HOBO® Temp Data Logger, in a Social Housing Prototype (HIS), located at the Central Campus of the Federal University of Rio Grande do Norte UFRN. The prototype was designed and built seeking strategies of thermal comfort recommended for the local climate where the study was carried out, and built with panels of cellular concrete by Construtora DoisA, a collaborator of research project REPESC Rede de Pesquisa em Eficiência Energética de Sistemas Construtivos (Research Network on Energy Efficiency of Construction Systems), an integral part of Habitare program. The methodology employed carefully examined the problem, reviewed the bibliography, analyzing the major aspects related to computer simulations for thermal performance of buildings, such as climate characterization of the region under study and users thermal comfort demands. The DesignBuilder 1.2 computer application was used as a simulation tool, and theoretical alterations were carried out in the prototype, then they were compared with the parameters of thermal comfort adopted, based on the area s current technical literature. Analyses of the comparative studies were performed through graphical outputs for a better understanding of air temperature amplitudes and thermal comfort conditions. The data used for the characterization of external air temperature were obtained from the Test Reference Year (TRY), defined for the study area (Natal-RN). Thus the author also performed comparative studies for TRY data registered in the years 2006, 2007 and 2008, at weather station Davis Precision Station, located at the Instituto Nacional de Pesquisas Espaciais INPE-CRN (National Institute of Space Research), in a neighboring area of UFRN s Central Campus. The conclusions observed from the comparative studies performed among computer simulations, and the local records obtained from the studied prototype, point out that the simulations performed in naturally ventilated buildings is quite a complex task, due to the applications limitations, mainly owed to the complexity of air flow phenomena, the influence of comfort conditions in the surrounding areas and climate records. Lastly, regarding the use of the application DesignBuilder 1.2 in the present study, one may conclude that it is a good tool for computer simulations. However, it needs some adjustments to improve reliability in its use. There is a need for continued research, considering the dedication of users to the prototype, as well as the thermal charges of the equipment, in order to check sensitivity

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Natural air ventilation is the most import passive strategy to provide thermal comfort in hot and humid climates and a significant low energy strategy. However, the natural ventilated building requires more attention with the architectural design than a conventional building with air conditioning systems, and the results are less reliable. Therefore, this thesis focuses on softwares and methods to predict the natural ventilation performance from the point of view of the architect, with limited resource and knowledge of fluid mechanics. A typical prefabricated building was modelled due to its simplified geometry, low cost and occurrence at the local campus. Firstly, the study emphasized the use of computational fluid dynamics (CFD) software, to simulate the air flow outside and inside the building. A series of approaches were developed to make the simulations possible, compromising the results fidelity. Secondly, the results of CFD simulations were used as the input of an energy tool, to simulate the thermal performance under different rates of air renew. Thirdly, the results of temperature were assessed in terms of thermal comfort. Complementary simulations were carried out to detail the analyses. The results show the potentialities of these tools. However the discussions concerning the simplifications of the approaches, the limitations of the tools and the level of knowledge of the average architect are the major contribution of this study

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In Brazil and around the world, oil companies are looking for, and expected development of new technologies and processes that can increase the oil recovery factor in mature reservoirs, in a simple and inexpensive way. So, the latest research has developed a new process called Gas Assisted Gravity Drainage (GAGD) which was classified as a gas injection IOR. The process, which is undergoing pilot testing in the field, is being extensively studied through physical scale models and core-floods laboratory, due to high oil recoveries in relation to other gas injection IOR. This process consists of injecting gas at the top of a reservoir through horizontal or vertical injector wells and displacing the oil, taking advantage of natural gravity segregation of fluids, to a horizontal producer well placed at the bottom of the reservoir. To study this process it was modeled a homogeneous reservoir and a model of multi-component fluid with characteristics similar to light oil Brazilian fields through a compositional simulator, to optimize the operational parameters. The model of the process was simulated in GEM (CMG, 2009.10). The operational parameters studied were the gas injection rate, the type of gas injection, the location of the injector and production well. We also studied the presence of water drive in the process. The results showed that the maximum vertical spacing between the two wells, caused the maximum recovery of oil in GAGD. Also, it was found that the largest flow injection, it obtained the largest recovery factors. This parameter controls the speed of the front of the gas injected and determined if the gravitational force dominates or not the process in the recovery of oil. Natural gas had better performance than CO2 and that the presence of aquifer in the reservoir was less influential in the process. In economic analysis found that by injecting natural gas is obtained more economically beneficial than CO2

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In Brazilian Northeast there are reservoirs with heavy oil, which use steam flooding as a recovery method. This process allows to reduce oil viscosity, increasing its mobility and consequently its oil recovery. Steam injection is a thermal method and can occurs in continues or cyclic form. Cyclic steam stimulation (CSS) can be repeated several times. Each cycle consisting of three stages: steam injection, soaking time and production phase. CSS becomes less efficient with an increase of number of cycles. Thus, this work aims to study the influence of compositional models in cyclic steam injection and the effects of some parameters, such like: flow injection, steam quality and temperature of steam injected, analyzing the influence of pseudocomponents numbers on oil rate, cumulative oil, oil recovery and simulation time. In the situations analyzed was compared the model of fluid of three phases and three components known as Blackoil . Simulations were done using commercial software (CMG), it was analyzed a homogeneous reservoir with characteristics similar to those found in Brazilian Northeast. It was observed that an increase of components number, increase the time spent in simulation. As for analyzed parameters, it appears that the steam rate, and steam quality has influence on cumulative oil and oil recovery. The number of components did not a lot influenced on oil recovery, however it has influenced on gas production

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This work aims presenting the development of a model and computer simulation of a sucker rod pumping system. This system take into account the well geometry, the flow through the tubing, the dynamic behavior of the rod string and the use of a induction motor model. The rod string were modeled using concentrated parameters, allowing the use of ordinary differential equations systems to simulate it s behavior

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Oil production and exploration techniques have evolved in the last decades in order to increase fluid flows and optimize how the required equipment are used. The base functioning of Electric Submersible Pumping (ESP) lift method is the use of an electric downhole motor to move a centrifugal pump and transport the fluids to the surface. The Electric Submersible Pumping is an option that has been gaining ground among the methods of Artificial Lift due to the ability to handle a large flow of liquid in onshore and offshore environments. The performance of a well equipped with ESP systems is intrinsically related to the centrifugal pump operation. It is the pump that has the function to turn the motor power into Head. In this present work, a computer model to analyze the three-dimensional flow in a centrifugal pump used in Electric Submersible Pumping has been developed. Through the commercial program, ANSYS® CFX®, initially using water as fluid flow, the geometry and simulation parameters have been defined in order to obtain an approximation of what occurs inside the channels of the impeller and diffuser pump in terms of flow. Three different geometry conditions were initially tested to determine which is most suitable to solving the problem. After choosing the most appropriate geometry, three mesh conditions were analyzed and the obtained values were compared to the experimental characteristic curve of Head provided by the manufacturer. The results have approached the experimental curve, the simulation time and the model convergence were satisfactory if it is considered that the studied problem involves numerical analysis. After the tests with water, oil was used in the simulations. The results were compared to a methodology used in the petroleum industry to correct viscosity. In general, for models with water and oil, the results with single-phase fluids were coherent with the experimental curves and, through three-dimensional computer models, they are a preliminary evaluation for the analysis of the two-phase flow inside the channels of centrifugal pump used in ESP systems

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The present study provides a methodology that gives a predictive character the computer simulations based on detailed models of the geometry of a porous medium. We using the software FLUENT to investigate the flow of a viscous Newtonian fluid through a random fractal medium which simplifies a two-dimensional disordered porous medium representing a petroleum reservoir. This fractal model is formed by obstacles of various sizes, whose size distribution function follows a power law where exponent is defined as the fractal dimension of fractionation Dff of the model characterizing the process of fragmentation these obstacles. They are randomly disposed in a rectangular channel. The modeling process incorporates modern concepts, scaling laws, to analyze the influence of heterogeneity found in the fields of the porosity and of the permeability in such a way as to characterize the medium in terms of their fractal properties. This procedure allows numerically analyze the measurements of permeability k and the drag coefficient Cd proposed relationships, like power law, for these properties on various modeling schemes. The purpose of this research is to study the variability provided by these heterogeneities where the velocity field and other details of viscous fluid dynamics are obtained by solving numerically the continuity and Navier-Stokes equations at pore level and observe how the fractal dimension of fractionation of the model can affect their hydrodynamic properties. This study were considered two classes of models, models with constant porosity, MPC, and models with varying porosity, MPV. The results have allowed us to find numerical relationship between the permeability, drag coefficient and the fractal dimension of fractionation of the medium. Based on these numerical results we have proposed scaling relations and algebraic expressions involving the relevant parameters of the phenomenon. In this study analytical equations were determined for Dff depending on the geometrical parameters of the models. We also found a relation between the permeability and the drag coefficient which is inversely proportional to one another. As for the difference in behavior it is most striking in the classes of models MPV. That is, the fact that the porosity vary in these models is an additional factor that plays a significant role in flow analysis. Finally, the results proved satisfactory and consistent, which demonstrates the effectiveness of the referred methodology for all applications analyzed in this study.

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The importance of the airport sector in the development of a country refers to the need for studies on management of airports, to aid the process of decision making. In Brazil, growth in passenger demand is why investments in order to balance the capacity of an airport with air demand. Thus, the study aims to develop a model for Dynamic Systems able to assist airport management in Brazilian sizing subsystems an airport (Passenger Terminal, Runway and Patio). The methodology of this work consists in the steps of defining the problem, formulating the hypothesis dynamic building simulation model, and validation experiments. Finally, we examined the status of each subsystem in thirteen Brazilian airports in scenarios current, most likely and optimistic for air passenger demand

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This work develops a robustness analysis with respect to the modeling errors, being applied to the strategies of indirect control using Artificial Neural Networks - ANN s, belong to the multilayer feedforward perceptron class with on-line training based on gradient method (backpropagation). The presented schemes are called Indirect Hybrid Control and Indirect Neural Control. They are presented two Robustness Theorems, being one for each proposed indirect control scheme, which allow the computation of the maximum steady-state control error that will occur due to the modeling error what is caused by the neural identifier, either for the closed loop configuration having a conventional controller - Indirect Hybrid Control, or for the closed loop configuration having a neural controller - Indirect Neural Control. Considering that the robustness analysis is restrict only to the steady-state plant behavior, this work also includes a stability analysis transcription that is suitable for multilayer perceptron class of ANN s trained with backpropagation algorithm, to assure the convergence and stability of the used neural systems. By other side, the boundness of the initial transient behavior is assured by the assumption that the plant is BIBO (Bounded Input, Bounded Output) stable. The Robustness Theorems were tested on the proposed indirect control strategies, while applied to regulation control of simulated examples using nonlinear plants, and its results are presented

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The greater part of monitoring onshore Oil and Gas environment currently are based on wireless solutions. However, these solutions have a technological configuration that are out-of-date, mainly because analog radios and inefficient communication topologies are used. On the other hand, solutions based in digital radios can provide more efficient solutions related to energy consumption, security and fault tolerance. Thus, this paper evaluated if the Wireless Sensor Network, communication technology based on digital radios, are adequate to monitoring Oil and Gas onshore wells. Percent of packets transmitted with successful, energy consumption, communication delay and routing techniques applied to a mesh topology will be used as metrics to validate the proposal in the different routing techniques through network simulation tool NS-2