The aim of this work is to investigate the energy consumption of the servo drive at different control settings. First, the theoretical part describes the servo drive as a mechatronic system with subsequent disassembly in terms of losses and efficiency, where all the losses that occur in the servo drives are defined. Subsequently, the theoretical part concludes with a chapter on controllers, thanks to which it is possible to control servo drives and describes their influence on the resulting control. In the practical part, a model of a DC motor with a linear axis and regulation was first created in the Simulink program. Subsequently, the Matlab program defined motion with linear acceleration and motion using S-curves, which controlled the model. Then the model was measured at different settings of the controllers and the resulting waveforms together with the energy values were compared with each other. In the second half of the practical part of this work, a real servo drive was then measured with a subsequent comparison with the created model. In this comparison, the resulting waveforms and energy values were also compared. The result of this work is then to determine the effect of changes on the resulting control, which are made in the controller settings. The functional models can then be used to determine how the various servo drives will behave under the given control conditions.

No description available.

Sistemas de Distribuição de Energia Elétrica (SDEE) estão, pelas próprias condições de funcionamento, sujeitos a perdas de energia e quedas nos níveis de tensão. Uma das formas de reduzir as perdas e ao mesmo tempo melhorar o perfil de tensão do SDEE consiste na utilização de bancos de capacitores e reguladores de tensão ao longo dos alimentadores. Para isto a alocação ótima destes equipamentos torna-se de fundamental importância, logo este trabalho tem por objetivo a utilização de um método quadrático de programação por metas multiobjetivo para a ótima alocação desses equipamentos visando a redução de perdas (meta 1) com o menor custo de investimento (meta 2) sujeito a restrições do fluxo de potência, limites técnicos de operação, mudança no controle dos capacitores chaveados e dos taps dos reguladores de tensão. O constante aumento na penetração da geração distribuída traz novos desafios para o controle e a operação dos SDEE. A metodologia proposta considera os efeitos destas fontes de geração e os seus impactos na alocações ótima dos bancos de capacitores e reguladores de tensão. Com o intuito de resolver o problema de otimização em programas comerciais como Gurobi e Cplex uma metodologia linear de cálculo de fluxo de potência é utilizada. Os algoritmos foram desenvolvidos no software Matlab, e posteriormente foi realizada a conversão para linguagem GAMS (Generic Algebraic Modeling System) para utilização dos solvers na plataforma NEOS (Network Enabled Optimization System). / Power distribution systems (DS) are susceptible to energy loss and voltage drops, mainly because of the way that they are operated and built. One way to minimize system loss and improve the voltage profile of DS is with the use of capacitor banks and voltage regulators (VRs) along the distribution feeders. In this scenario, the optimal placement of these devices becomes crucial. In this paper, a quadratic multi objective goal programming method is proposed to obtain the optimal placement of these devices, where the goals are energy loss (goal 1) and the total investment cost (goal 2). The model is subject to system operation constraints, such as power flow demands, limits of voltages and currents, number of stages of switched capacitors and the tap control of VRs. The increase of distributed generation penetration brings new challenges for control and operation of DS. The proposed methodology considers the effects of these power sources and their impact on optimal allocations of capacitors and VRs. With the aim of solving the optimization problem in commercial programs, a linear power flow is used. The algorithms were developed with Matlab software and the conversion was made to a General Algebraic Modeling System (GAMS) language and solved in the NEOS (Network Enabled Optimization System) platform.

Sistemas de Distribuição de Energia Elétrica (SDEE) estão, pelas próprias condições de funcionamento, sujeitos a perdas de energia e quedas nos níveis de tensão. Uma das formas de reduzir as perdas e ao mesmo tempo melhorar o perfil de tensão do SDEE consiste na utilização de bancos de capacitores e reguladores de tensão ao longo dos alimentadores. Para isto a alocação ótima destes equipamentos torna-se de fundamental importância, logo este trabalho tem por objetivo a utilização de um método quadrático de programação por metas multiobjetivo para a ótima alocação desses equipamentos visando a redução de perdas (meta 1) com o menor custo de investimento (meta 2) sujeito a restrições do fluxo de potência, limites técnicos de operação, mudança no controle dos capacitores chaveados e dos taps dos reguladores de tensão. O constante aumento na penetração da geração distribuída traz novos desafios para o controle e a operação dos SDEE. A metodologia proposta considera os efeitos destas fontes de geração e os seus impactos na alocações ótima dos bancos de capacitores e reguladores de tensão. Com o intuito de resolver o problema de otimização em programas comerciais como Gurobi e Cplex uma metodologia linear de cálculo de fluxo de potência é utilizada. Os algoritmos foram desenvolvidos no software Matlab, e posteriormente foi realizada a conversão para linguagem GAMS (Generic Algebraic Modeling System) para utilização dos solvers na plataforma NEOS (Network Enabled Optimization System). / Power distribution systems (DS) are susceptible to energy loss and voltage drops, mainly because of the way that they are operated and built. One way to minimize system loss and improve the voltage profile of DS is with the use of capacitor banks and voltage regulators (VRs) along the distribution feeders. In this scenario, the optimal placement of these devices becomes crucial. In this paper, a quadratic multi objective goal programming method is proposed to obtain the optimal placement of these devices, where the goals are energy loss (goal 1) and the total investment cost (goal 2). The model is subject to system operation constraints, such as power flow demands, limits of voltages and currents, number of stages of switched capacitors and the tap control of VRs. The increase of distributed generation penetration brings new challenges for control and operation of DS. The proposed methodology considers the effects of these power sources and their impact on optimal allocations of capacitors and VRs. With the aim of solving the optimization problem in commercial programs, a linear power flow is used. The algorithms were developed with Matlab software and the conversion was made to a General Algebraic Modeling System (GAMS) language and solved in the NEOS (Network Enabled Optimization System) platform.

Sistemas de Distribuição de Energia Elétrica (SDEE) estão, pelas próprias condições de funcionamento, sujeitos a perdas de energia e quedas nos níveis de tensão. Uma das formas de reduzir as perdas e ao mesmo tempo melhorar o perfil de tensão do SDEE consiste na utilização de bancos de capacitores e reguladores de tensão ao longo dos alimentadores. Para isto a alocação ótima destes equipamentos torna-se de fundamental importância, logo este trabalho tem por objetivo a utilização de um método quadrático de programação por metas multiobjetivo para a ótima alocação desses equipamentos visando a redução de perdas (meta 1) com o menor custo de investimento (meta 2) sujeito a restrições do fluxo de potência, limites técnicos de operação, mudança no controle dos capacitores chaveados e dos taps dos reguladores de tensão. O constante aumento na penetração da geração distribuída traz novos desafios para o controle e a operação dos SDEE. A metodologia proposta considera os efeitos destas fontes de geração e os seus impactos na alocações ótima dos bancos de capacitores e reguladores de tensão. Com o intuito de resolver o problema de otimização em programas comerciais como Gurobi e Cplex uma metodologia linear de cálculo de fluxo de potência é utilizada. Os algoritmos foram desenvolvidos no software Matlab, e posteriormente foi realizada a conversão para linguagem GAMS (Generic Algebraic Modeling System) para utilização dos solvers na plataforma NEOS (Network Enabled Optimization System). / Power distribution systems (DS) are susceptible to energy loss and voltage drops, mainly because of the way that they are operated and built. One way to minimize system loss and improve the voltage profile of DS is with the use of capacitor banks and voltage regulators (VRs) along the distribution feeders. In this scenario, the optimal placement of these devices becomes crucial. In this paper, a quadratic multi objective goal programming method is proposed to obtain the optimal placement of these devices, where the goals are energy loss (goal 1) and the total investment cost (goal 2). The model is subject to system operation constraints, such as power flow demands, limits of voltages and currents, number of stages of switched capacitors and the tap control of VRs. The increase of distributed generation penetration brings new challenges for control and operation of DS. The proposed methodology considers the effects of these power sources and their impact on optimal allocations of capacitors and VRs. With the aim of solving the optimization problem in commercial programs, a linear power flow is used. The algorithms were developed with Matlab software and the conversion was made to a General Algebraic Modeling System (GAMS) language and solved in the NEOS (Network Enabled Optimization System) platform.

No description available.

The bachelor´s thesis deals with numerical modelling of energy losses in pipes in 3D. It shows the process of creation of mathematical model, used mathematical equations and numerical methods of their solution. The theory is applied on the creation of pipe model and their energy losses with using different turbulent models.

In spite of their high technical maturity, load sensing systems (LS) have system-inherent energy losses that are largely due to the operation of parallel actuators with different loads at the same pressure level. Hereby, the pressure compensators of the system are crucial. So far, excessive hydraulic energy has been throttled at these compensators and been discharged as heat via the oil. The research project “Reduction of System Inherent Pressure Losses at Pressure Compensators of Hydraulic Load Sensing Systems” aims to investigate a novel solution of reducing such energy losses. The pressure of particular sections can be increased by means of a novel hydraulic circuit. Therefore, a recovery unit is connected in series with a hydraulic accumulator via a special valve in the reflux of the actuators. The artificially increased pressure level of the section reduces the amount of hydraulic power to be throttled at the pressure compensators. As long as a section fulfills the switching condition of the valve, pressure losses at the respectiv pressure compensator can be reduced. Thus, via a suitable recovery unit excessive energy can be regenerated and can be directed to other process steps eventually.

Purpose: The purpose of this study was to plan blueprints for a school located Härbregatan and Vallby Skolgata in Västerås with a focus on energy losses and window placement to choose the most suitable types of windows to obtain a good internal environment. Method: The methodology used to conduct this thesis was based on earlier case studies, literature book and literature reviews in the form of legal specification from Boverket Byggregel (BBR) that had a significant impact on how the school was designed, interior and exterior views. Results: The study demonstrated how important window types and selection was for the students and the teachers occupying the classrooms because windows are a vital source of light, energy and encouragement due to the daylight. Larger windows minimize the need for electrical lighting but increases the risk of energy loss due to inadequate insulation resulting in an impact on the indoor environment and causing a higher energy usage. The size of the window also has an impact on specific transmission losses, thermal bridges, heat losses and as well as the solar radiation passing through the glass, according to this study. Conclusions: The study came to the conclusion that while windows have a significant role in these aspects, additional aspects that include the size of walls, doors, floors and ceiling also play an essential part. Larger windows lead to increased transmission losses and thermal bridges, but at the same time it lets in more daylight and sunlight in the form of heat energy, therefore larger windows are a better choice to use in the school building.

Este trabalho tem por objetivo propor uma nova metodologia para o cálculo das perdas técnicas de energia e demanda por segmento do sistema de distribuição. As perdas técnicas foram divididas em oito segmentos: medidor de energia, ramal de ligação, rede secundária, transformador de distribuição, rede primária, subestação de distribuição, sistema de alta tensão e outros. Neste último segmento, foram incorporadas as parcelas referentes a equipamentos (capacitores, reguladores de tensão, etc), perdas em conexões, corrente de fuga em isoladores, etc. Desenvolveu-se um sistema computacional, para uso em microcomputador, que conta com dois módulos principais. O primeiro módulo destina-se ao cálculo das perdas técnicas em redes específicas. O cálculo é feito de forma hierárquica, por exemplo, selecionada uma subestação específica, são calculadas as perdas na subestação e em todos os componentes a jusante (redes primárias, transformadores de distribuição, redes secundárias, ramais de ligação e medidores de energia). As perdas técnicas, em termos de energia e demanda, são obtidas por meio de cálculo elétrico específico para os segmentos envolvidos, com a utilização dos dados cadastrais da rede, dados de faturamento e curvas de carga típicas por classe de consumidor e tipo de atividade desenvolvida. Com a aplicação deste módulo para todo o sistema da empresa, ou para uma parcela representativa, obtém-se um índice percentual de perda de energia para cada segmento. Estes índices são transferidos para o segundo módulo, que tem por objetivo efetuar o balanço de energia do sistema. A partir dos dados de energia nos pontos de suprimento, da energia total faturada mensalmente e dos índices de perdas por segmento, são obtidos os montantes de energia de perdas em cada segmento do sistema e uma avaliação das perdas não técnicas. O trabalho ainda apresenta um exemplo de aplicação, em sistema de distribuição real, mostrando os resultados obtidos, e termina apresentando as principais vantagens da metodologia. Os resultados obtidos com a nova metodologia são comparados com os resultados obtidos com outras metodologias. / This work focuses on the development of a new methodology for calculating technical losses within the different segments of the electric distribution system. In order to evaluate technical losses the electrical system was divided into eight segments: energy meter, customer connections, secondary feeder, distribution transformer, primary feeder, distribution substation, high voltage system and another segment that represents other technical losses. The latter comprises losses in equipment such as capacitors and voltage regulators as well as losses in electric connections, isolators, etc. A computational system was developed and it comprises two modules. The first one is intended to calculate technical losses in specific networks. The calculation is made in a hierarchical manner. If a distribution substation is selected for the calculation, the losses in that substation and the losses in all components downstream are calculated. The technical losses, in terms of energy and demand, are obtained by utilizing network topological data, consumed energy data and typical load curves per customer class and activity type. An energy losses index, calculated as a percentage of the supplied energy, is obtained for each segment by applying this module to the entire utility’s power system or in a representative part of it. These values are transferred to the second module, which has the objective of determining the overall energy balance. Technical and non-technical losses, in terms of energy, in each segment are obtained by utilizing the total amount of energy supplied to the system, energy consumed and energy losses indices per segment. This work shows the results obtained by applying the computational tool to a real distribution system. Such results are compared with the ones obtained by using other methodologies, and the main advan ages of this new methodology are outlined.