999 resultados para Moncada, Hugo de.
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Dissertação de Mestrado em História Contemporânea
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Esta Tese de Mestrado foi realizada na empresa Pietec Cortiças S.A.. A empresa Pietec Cortiças S.A. é a unidade industrial responsável pela produção de rolhas técnicas de cortiça do Grupo Piedade. O objetivo desta tese prende-se com a melhoria do processo produtivo de uma das suas secções, a secção da Marcação. Esta secção é responsável pela marcação da superfície da rolha, pela aplicação do tratamento de superfície e pelo embalamento das rolhas. A otimização do processo da secção de Marcação, na qualidade de última secção do processo produtivo, permitirá à empresa obter vantagens competitivas. De forma a atingir o objetivo proposto, foi realizado um levantamento exaustivo do processo produtivo e das respetivas operações. Esta análise permitiu a identificação dos possíveis pontos de desperdício, a sua avaliação e a definição de possíveis melhorias que visam o aumento de produtividade e a redução do número de produtos não conformes. Uma vez identificados os pontos críticos do processo, procedeu-se à definição das ações de melhoria a implementar de forma a melhorar o processo produtivo. As ações tomadas assentam na filosofia Lean e nos seus princípios, utilizando-se algumas das ferramentas desta filosofia para concretizar os objetivos traçados. A ferramenta de análise Plan-Do-Check-Act (PDCA) foi a ferramenta base do projeto, acompanhando na elaboração do plano de ação, na implementação das ferramentas 5S e Single Minute Exchange of Die (SMED), na verificação dos resultados e no plano de manutenção das melhorias alcançadas. Após a implementação das medidas definidas no processo de marcação da superfície das rolhas, foi mensurada uma melhoria de 23 % no tempo médio de setup da máquina de marcação. Esta melhoria global foi alcançada através de intervenções no processo de vazamento do circuito da máquina de marcação, no procedimento de armazenamento dos moldes de marcação e na alteração dos mecanismos de ajuste da máquina de marcar e de orientar. No processo de embalamento das rolhas, as medidas implementadas produziram um aumento de 1,7 % no número de rolhas produzidas e uma redução do número de rolhas não conformes de 3,6 %. Os resultados obtidos no projeto demonstram que é possível continuar a melhorar o estado atual dos processos. Constatou-se ainda que, com a adoção de ferramentas de análise e de proposta de melhoria adequadas, é possível atuar sobre os processos e obter melhorias a curto prazo, sem que para isso seja necessário efetuar grandes investimentos.
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A Dissertação que se pretende desenvolver decorre em ambiente industrial numa empresa, em que as principais áreas de actuação dizem respeito à injecção e maquinação de alumínio. Os componentes aí injectados e maquinados, são componentes que servirão posteriormente a indústria automóvel num vasto leque de aplicações, desde componentes para sistemas hidráulicos de travagem e componentes para sistemas de lubrificação. Nesta dissertação foi abordada a temática da redução do tempo de paragem não planeada numa linha de maquinação, pelo que se elencaram as principais causas que originavam essas paragens. Recorrendo à metodologia SMED, e a um vasto conjunto de técnicas auxiliares de determinação de causas como os 5 WHY´s, diagrama de Ishikawa, 5S e Kaizen, foram propostas diversas melhorias para a optimização do procedimento de troca de modelo, incluindo um conjunto de regras que visam a sustentabilidade do processo a médio e longo prazo. Com as melhorias adoptadas, verificou-se uma redução de 27,9% no tempo total de troca de modelo comparativamente com o tempo registado antes da implementação da metodologia SMED. Destaca-se a redução de 75% no tempo de montagem e desmontagem dos dispositivos no 3ºProcesso da linha em estudo. Revelou-se também crucial que para a implementação da técnica SMED ser bem sucedida em termos de eficiência e sustentabilidade, devem ser adoptadas um conjunto de diversas ferramentas “Lean Management” e de normalização do trabalho.
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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Estudos Portugueses
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This paper describes the TURTLE project that aim to develop sub-systems with the capability of deep-sea long-term presence. Our motivation is to produce new robotic ascend and descend energy efficient technologies to be incorporated in robotic vehicles used by civil and military stakeholders for underwater operations. TURTLE contribute to the sustainable presence and operations in the sea bottom. Long term presence on sea bottom, increased awareness and operation capabilities in underwater sea and in particular on benthic deeps can only be achieved through the use of advanced technologies, leading to automation of operation, reducing operational costs and increasing efficiency of human activity.
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This paper presents the design of low cost, small autonomous surface vehicle for missions in the coastal waters and specifically for the challenging surf zone. The main objective of the vehicle design described in this paper is to address both the capability of operation at sea in relative challenging conditions and maintain a very low set of operational requirements (ease of deployment). This vehicle provides a first step towards being able to perform general purpose missions (such as data gathering or patrolling) and to at least in a relatively short distances to be able to be used in rescue operations (with very low handling requirements) such as carrying support to humans on the water. The USV is based on a commercially available fiber glass hull, it uses a directional waterjet powered by an electrical brushless motor for propulsion, thus without any protruding propeller reducing danger in rescue operations. Its small dimensions (1.5 m length) and weight allow versatility and ease of deployment. The vehicle design is described in this paper both from a hardware and software point of view. A characterization of the vehicle in terms of energy consumption and performance is provided both from test tank and operational scenario tests. An example application in search and rescue is also presented and discussed with the integration of this vehicle in the European ICARUS (7th framework) research project addressing the development and integration of robotic tools for large scale search and rescue operations.
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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Filosofia Geral
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To identify the clinical and epidemiological profile of cryptococcosis diagnosed at the University Hospital of the Federal University of Mato Grosso do Sul, Brazil, medical records of 123 patients admitted from January 1995 to December 2005 were analyzed. One hundred and four cases (84.5%) had HIV infection, six (4.9%) had other predisposing conditions and 13 (10.6%) were immunocompetent. Male patients predominated (68.3%) and their age ranged from 19 to 69 years (mean: 35.9). Most patients (73.2%) were born and lived lifelong in the state of Mato Grosso do Sul. Involvement of the central nervous system occurred in 103 patients (83.7%) and headache and vomiting were the most frequent symptoms. In 77 cases it was possible to identify the Cryptococcus species: 69 (89.6%) C. neoformans and eight (10.4%) C. gattii. Amphotericin B was the drug of choice for treatment (106/123), followed by fluconazole in 60% of cases. The overall lethality rate was 49.6%, being 51% among the HIV infected patients and 41.2% among the non-HIV infected (p > 0.05). Although cryptococcosis exhibited in our region a similar behavior to that described in the literature, the detection of an important rate of immunocompetent individuals and five C. gattii cryptococcosis in HIV-infected patients is noteworthy.
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In the traditional paradigm, the large power plants supply the reactive power required at a transmission level and the capacitors and transformer tap changer were also used at a distribution level. However, in a near future will be necessary to schedule both active and reactive power at a distribution level, due to the high number of resources connected in distribution levels. This paper proposes a new multi-objective methodology to deal with the optimal resource scheduling considering the distributed generation, electric vehicles and capacitor banks for the joint active and reactive power scheduling. The proposed methodology considers the minimization of the cost (economic perspective) of all distributed resources, and the minimization of the voltage magnitude difference (technical perspective) in all buses. The Pareto front is determined and a fuzzy-based mechanism is applied to present the best compromise solution. The proposed methodology has been tested in the 33-bus distribution network. The case study shows the results of three different scenarios for the economic, technical, and multi-objective perspectives, and the results demonstrated the importance of incorporating the reactive scheduling in the distribution network using the multi-objective perspective to obtain the best compromise solution for the economic and technical perspectives.
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Smart Grids (SGs) have emerged as the new paradigm for power system operation and management, being designed to include large amounts of distributed energy resources. This new paradigm requires new Energy Resource Management (ERM) methodologies considering different operation strategies and the existence of new management players such as several types of aggregators. This paper proposes a methodology to facilitate the coalition between distributed generation units originating Virtual Power Players (VPP) considering a game theory approach. The proposed approach consists in the analysis of the classifications that were attributed by each VPP to the distributed generation units, as well as in the analysis of the previous established contracts by each player. The proposed classification model is based in fourteen parameters including technical, economical and behavioural ones. Depending of the VPP strategies, size and goals, each parameter has different importance. VPP can also manage other type of energy resources, like storage units, electric vehicles, demand response programs or even parts of the MV and LV distribution network. A case study with twelve VPPs with different characteristics and one hundred and fifty real distributed generation units is included in the paper.
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The high penetration of distributed energy resources (DER) in distribution networks and the competitive environment of electricity markets impose the use of new approaches in several domains. The network cost allocation, traditionally used in transmission networks, should be adapted and used in the distribution networks considering the specifications of the connected resources. The main goal is to develop a fairer methodology trying to distribute the distribution network use costs to all players which are using the network in each period. In this paper, a model considering different type of costs (fixed, losses, and congestion costs) is proposed comprising the use of a large set of DER, namely distributed generation (DG), demand response (DR) of direct load control type, energy storage systems (ESS), and electric vehicles with capability of discharging energy to the network, which is known as vehicle-to-grid (V2G). The proposed model includes three distinct phases of operation. The first phase of the model consists in an economic dispatch based on an AC optimal power flow (AC-OPF); in the second phase Kirschen's and Bialek's tracing algorithms are used and compared to evaluate the impact of each resource in the network. Finally, the MW-mile method is used in the third phase of the proposed model. A distribution network of 33 buses with large penetration of DER is used to illustrate the application of the proposed model.
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The electricity market restructuring, and its worldwide evolution into regional and even continental scales, along with the increasing necessity for an adequate integration of renewable energy sources, is resulting in a rising complexity in power systems operation. Several power system simulators have been developed in recent years with the purpose of helping operators, regulators, and involved players to understand and deal with this complex and constantly changing environment. The main contribution of this paper is given by the integration of several electricity market and power system models, respecting to the reality of different countries. This integration is done through the development of an upper ontology which integrates the essential concepts necessary to interpret all the available information. The continuous development of Multi-Agent System for Competitive Electricity Markets platform provides the means for the exemplification of the usefulness of this ontology. A case study using the proposed multi-agent platform is presented, considering a scenario based on real data that simulates the European Electricity Market environment, and comparing its performance using different market mechanisms. The main goal is to demonstrate the advantages that the integration of various market models and simulation platforms have for the study of the electricity markets’ evolution.
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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica
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Dissertação para obtenção do Grau de Mestre em Engenharia Civil – Perfil Construção
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Dissertação para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores