No description available.

This degree project has been made in cooperation with engineers working for GM Engineering/Saab Automobile AB in Trollhättan. The given name by Saab for the project is “Fuel efficiency improvements in All Wheel Drive(AWD)-system”. The main tasks of this thesis work were to investigate the size of the power losses in different parts on the propeller shaft, to design a computer program that calculates coordinates and angles on a propeller shaft and to investigate the possibilities to put together a simplified formula that calculates the natural frequencies on a propeller shaft. The main parts of this report are a compilation of the theory about AWD and mostly about the parts on the propeller shaft, and also a description of the developed computer program called Propeller Shaft Calculator. This report doesn’t concern power losses in the different joints because there were no such general equations to be found. The most common way to calculate the power losses inside a joint is to do tests were the power loss is measured at different angles, torque and speed and then use that data to put together an approximated equation. Most of the work on this project has been on theory studies and on programming. The main result of the project is the program Propeller Shaft Calculator. Propeller Shaft Calculator is a program that is designed in Microsoft Excel. All the menus are programmed in the visual basic editor in Excel. The program is supposed to be used as a help while designing new propeller shafts. Propeller Shaft Calculator can calculate all the coordinates, lengths, angles and directions on a propeller shaft. It also calculates natural frequencies, plunge, estimated power loss on the second shaft and angles in the joints. In the program you can choose to do calculations on four different configurations of propeller shafts but can quite easy upgrade the program with more choices. Basically the program works like this: First you choose the right propeller shaft in the main menu. Then you fill out the indata sheet with coordinates, lengths, material data and so on. As you type in the input data the output data will appear in the out-data sheet next to the in-data. Every propeller shaft has also a calculations sheet were more detailed calculations can be found. The program also has a built in help function and a warning function that lights a warning sign next to the values if they are outside the limits.

<p>This degree project has been made in cooperation with engineers working for GM Engineering/Saab Automobile AB in Trollhättan. The given name by Saab for the project is “Fuel efficiency improvements in All Wheel Drive(AWD)-system”. The main tasks of this thesis work were to investigate the size of the power losses in different parts on the propeller shaft, to design a computer program that calculates</p><p>coordinates and angles on a propeller shaft and to investigate the possibilities to put together a simplified formula that calculates the natural frequencies on a propeller shaft.</p><p>The main parts of this report are a compilation of the theory about AWD and mostly about the parts on the propeller shaft, and also a description of the developed computer program called Propeller Shaft Calculator. This report doesn’t concern power losses in the different joints because there were no such general equations to be found. The most common way to calculate the power losses inside a joint is to do tests were the power loss is measured at different angles, torque and speed and then use that data to put together an approximated equation.</p><p>Most of the work on this project has been on theory studies and on programming. The main result of the project is the program Propeller Shaft Calculator.</p><p>Propeller Shaft Calculator is a program that is designed in Microsoft Excel. All the menus are programmed in the visual basic editor in Excel. The program is supposed to be used as a help while designing new propeller shafts.</p><p>Propeller Shaft Calculator can calculate all the coordinates, lengths, angles and directions on a propeller shaft. It also calculates natural frequencies, plunge, estimated power loss on the second shaft and angles in the joints. In the program you can choose to do calculations on four different configurations of propeller shafts but can quite</p><p>easy upgrade the program with more choices.</p><p>Basically the program works like this:</p><p>First you choose the right propeller shaft in the main menu. Then you fill out the indata sheet with coordinates, lengths, material data and so on. As you type in the input data the output data will appear in the out-data sheet next to the in-data. Every propeller shaft has also a calculations sheet were more detailed calculations can be</p><p>found.</p><p>The program also has a built in help function and a warning function that lights a warning sign next to the values if they are outside the limits.</p>

No description available.

The main objective of this thesis is to develop a new methodology to evaluate the transmission cable losses of wind-generated electricity. The research included the power loss variations of submarine cables in relation to the line length, cable capacity and the transmission technology in an offshore wind farm having a capacity of 500 MW. The literature of similar studies helped to generate a solid background for the research.   The comprehensive analysis carried out is based on a hypothetical wind farm and using three different power transmission wind farm models to investigate the technical reliability of transmission technology, namely, High Voltage Alternative Current (HVAC), High Voltage Direct Current Voltage Source Converter (HVDC VSC) and High Voltage Direct Current Line Commutated Converter (HVDC LCC). The analyses carried out are performed under assumptions and simplifications of power system models to evaluate the submarine cable transmission losses of 3 different transmission systems by using the MATLAB/ Simulink software.   With relevance to the simulation results, the HVAC submarine cable has more losses than any other transmission technology cables and it is suitable for short distance power transmission. The VSC technology has less losses than HVAC. Comparing with afore-mention technologies the HVDC LCC technology transmission links have the lowest line losses. Moreover, the transformer losses and the converter losses were calculated. The simulation results also included the overall power system losses by each of the transmission models.

A reconfiguração de redes de distribuição de energia elétrica consiste em alterar sua topologia por meio de manobras de chaves nos circuitos primários. Trata-se de um problema de otimização combinatória, onde normalmente os objetivos são a minimização de perdas ativas e/ou número de manobras realizadas, atendendo as restrições como isolamento de faltas, balanceamento de cargas entre os alimentadores e melhoria dos níveis de tensão. As dificuldades na modelagem e na resolução exata de problemas envolvendo a reconfiguração de redes de distribuição advém do tamanho dos sistemas reais, representados por um número elevado de chaves e alimentadores e ainda pela natureza combinatorial do problema. Para tratar essas questões, diversas modelagens e técnicas computacionais têm sido desenvolvidas, em particular heurísticas de melhoramento que através de uma solução factível, otimiza os resultados reduzindo o espaço de busca, até encontrar uma nova solução com melhor função objetivo. Neste sentido, são propostas duas formulações matemáticas descrevendo novas restrições a fim de melhorar a descrição do problema. A primeira, uma formulação mais simplificada, considera apenas a parte ativa das instâncias; na segunda um modelo completo é descrito otimizando parte das restrições do primeiro modelo e considerando também a parte reativa das instâncias. Duas heurísticas também são adaptadas pela primeira vez para o problema de reconfiguração de redes, pois a heurística de melhoramento Fix-and-Optmize é configurada de duas formas diferentes, determinando seus principais parâmetros através de uma análise de sensibilidade. Os resultados dos dois modelos propostos e também das heurísticas adaptadas para 13 sistemas de referência são descritos e comparados com outros métodos da literatura. Para verificar a eficiência e robustez dos métodos e heurísticas desenvolvidos, replicações são propostas de dois sistemas de referência, 9 replicações do sistema de 72 barras e 4 replicações do sistema de 10560 barras. Seus resultados bem como o desempenho dos métodos são descritos e avaliados. / A reconfiguration of electricity distribution networks consists in altering a topology of the networks by means of key maneuvers in the primary circuits. It is a problem of combinatorial optimization, where the objectives are a minimization of active losses and/or number of maneuvers performed, taking into account constraints such as fault isolation, load balance between feeders and improvement of voltage levels. As difficulties in modeling and in the exact resolution of problems involving a reconfiguration of distribution networks come from the size of the real systems, represented by a large number of switches and feeders, and also by the combinatorial nature of the problem. To address these issues, several models and computational techniques have been developed, in particular heuristics of improvement that through a feasible solution, improves results by reducing the search space, until finding a new solution with better objective function. In this sense, in this thesis it is proposed of two mathematical formulations describing new constraints in order to improve a description of the problem. A first, simpler formulation considers only a active part of the instances, in the second a complete model is described optimizing some restrictions of the first model and also considering the reactive part of the instances. Two heuristics are also first adapted to the network reconfiguration problem. The Fix-and-Optmize enhancement heuristic is configured in two different ways, determining its key parameters through a sensitivity analysis. The results of the two proposed models and also of the heuristics adapted for 13 reference systems are described and compared with other methods of the literature. To verify the efficiency and robustness of the developed methods and heuristics, replications are proposed for two reference systems, 9 replications of the 72 bus system and 4 replications of the 10560 bus system. Its results as well as the performance of the methods are described and evaluated.

Submitted by Renata Lopes (renatasil82@gmail.com) on 2016-04-06T18:38:52Z No. of bitstreams: 1 franciscocarlosrodriguescoelho.pdf: 4497321 bytes, checksum: 84c61f06bc2ac3aae79f57fc04d6cb0f (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2016-04-24T03:52:25Z (GMT) No. of bitstreams: 1 franciscocarlosrodriguescoelho.pdf: 4497321 bytes, checksum: 84c61f06bc2ac3aae79f57fc04d6cb0f (MD5) / Made available in DSpace on 2016-04-24T03:52:25Z (GMT). No. of bitstreams: 1 franciscocarlosrodriguescoelho.pdf: 4497321 bytes, checksum: 84c61f06bc2ac3aae79f57fc04d6cb0f (MD5) Previous issue date: 2013-08-16 / CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / A alocação de geração distribuída em sistemas de distribuição de energia elétrica consiste em definir a localização ótima para instalação de centrais geradoras distribuídas no sistema e a quantidade de potência que deverá ser injetada por estas centrais, de modo a minimizar as perdas técnicas inerentes aos sistemas de distribuição. Este é um problema de otimização de difícil solução e que apresenta implicações ambientais e econômicas. A técnica de otimização empregada nesta pesquisa para determinar a alocação dos geradores distribuídos é recente, sendo a mesma bioinspirada. Ela se baseia na ecolocalização de morcegos e foi desenvolvida em 2010 pelo pesquisador Xin-She Yang. Esta técnica de otimização agrega em sua constituição conhecimento prévio adquirido por outras técnicas de otimização, como enxame de partículas e busca harmônica, utilizando assim, as vantagens inerentes a cada uma destas ferramentas. Esta característica confere à otimização via ecolocalização uma expectativa de sucesso em problemas de difícil solução, com características combinatórias, que é o caso do problema em estudo. Com o intuito de melhorar o desempenho da técnica de otimização em questão, foi proposta uma etapa adicional em sua constituição. Esta alteração no algoritmo original se mostrou eficiente nas simulações realizadas, pois o mecanismo de busca modificado alcançou resultados de melhor qualidade com maior frequência, tanto em sua validação, onde foram utilizadas funções matemáticas não convexas, como na aplicação do método ao problema referente à alocação de geração distribuída em sistemas de distribuição de energia elétrica. Utilizando-se três sistemas teste, de trinta e três, de cinquenta e de sessenta e nove barras, foram realizados testes com alocação exclusiva de potência ativa e reativa, e também alocação simultânea destes dois tipos de potência, sendo que os resultados obtidos foram comparados com resultados presentes na literatura especializada. Além das perdas, fatores como perfil de tensão resultante nas barras e trajetória de convergência do algoritmo inspirado na ecolocalização de morcegos foram analisados para a avaliação da metodologia de otimização empregada nesta pesquisa. / The optimal distributed generation placement in electrical power systems is a complex problem involving environmental and economical issues. The solution to this problem consists of choosing the optimum location of distributed power plants, and to define the amount of power that must be injected by these plants in order to minimize technical losses in electrical distribution systems. The optimization technique utilized in this work to determine the placement of distributed generators is recent. It was developed in 2010 by Xin-She Yang. The optimization procedure is inspired by the echolocation of bats phenomenon, and uses some previous knowledge from others techniques, like Particle Swarm Optimization and Harmony Search, combining their advantages. This feature gives the Bat-Inspired Algorithm an expectation of success on difficult problems, such as the combinatorial problem under study. In order to improve the performance of the optimization technique an additional step was proposed in its search engine. Endowed with this change, the algorithm has achieved better results more frequently. Nonconvex benchmark mathematical functions were used, as well as in its application on distributed generation placement. Using three different bus systems (33, 50 and 69 busses), simulations were performed placing real and reactive Power separately, and those two kind of Power together. The produced results were compared to specialized literature. Real power losses, bus voltage and convergence trajectory indicates the level of success reached by the optimization technique utilized in this research work.

Dielectric elastomer actuators (DEAs) are compliant capacitors, which are able to transduce electrical into mechanical energy and vice versa. As they may be applied in different surrounding conditions and in applications with alternating excitations, it is necessary to investigate both, the thermal behavior and the in fluence of the temperature change during operation. Due to mechanical and electrical loss mechanisms during the energy transfer, the DEA is subjected to an intrinsic heating. In detail, the dielectric material, which has viscoelastic properties, shows a mechanical hysteresis under varying mechanical loads. This behavior leads to a viscoelastic loss of energy in the polymer layer, resulting in a heating of the structure. The non-ideal conduction of the electrode provokes a resistive loss when charging and discharging the electrode layer. Operation with frequencies in the kilohertz-range leads to remarkable local heat dissipation. The viscoelastic material behavior and the resistivity are assumed to be dependent on the temperature and/or on the strain of the material. By this, a back-coupling from the thermal field to the mechanical field or the electrical field is observed. In order to provide a thermal equilibrium, also the convective cooling { the structure is subjected to { has to be considered. Depending on the frequency and the type of electrical driving signal and mechanical load, viscoelastic and resistive heating provide different contributions during the dynamic process. In the present study we capture the described effects within our modeling approach. For a given dielectric elastomer actuator, numerical investigations are performed for a given electrical load.

This work deals with issues of elecroinsulating varnish and composite materials. The general aim is to observe impact of fulfilment and size of particle against measured values.

This work deals with issues of composite materials. The general aim is to observe how the amout of filling infuence dielectric spectrum which is measured on prepared samples. For this purpose had been created variety of a samples with different percentage of filling with mica. Measured values had been compared with theoretically values, determinated using mixture formulas.