38 resultados para Cash Investments Are Required For Restaurant Purchases
em Instituto Politécnico do Porto, Portugal
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Mestrado em Engenharia Electrotécnica – Sistemas Eléctricos de Energia
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DESIGN: A randomized controlled trial.OB JECTIVE: To investigate the immediate effects on pressure pain thresholds over latent trigger points (TrPs) in the masseter and temporalis muscles and active mouth opening following atlanto-occipital joint thrust manipulation or a soft tissue manual intervention targeted to the suboccipital muscles. BACKGROUND : Previous studies have described hypoalgesic effects of neck manipulative interventions over TrPs in the cervical musculature. There is a lack of studies analyzing these mechanisms over TrPs of muscles innervated by the trigeminal nerve. METHODS: One hundred twenty-two volunteers, 31 men and 91 women, between the ages of 18 and 30 years, with latent TrPs in the masseter muscle, were randomly divided into 3 groups: a manipulative group who received an atlanto-occipital joint thrust, a soft tissue group who received an inhibition technique over the suboccipital muscles, and a control group who did not receive an intervention. Pressure pain thresholds over latent TrPs in the masseter and temporalis muscles, and active mouth opening were assessed pretreatment and 2 minutes posttreatment by a blinded assessor. Mixed-model analyses of variance (ANOVA) were used to examine the effects of interventions on each outcome, with group as the between-subjects variable and time as the within-subjects variable. The primary analysis was the group-by-time interaction. RESULTS: The 2-by-3 mixed-model ANOVA revealed a significant group-by-time interaction for changes in pressure pain thresholds over masseter (P<.01) and temporalis (P =.003) muscle latent TrPs and also for active mouth opening (P<.001) in favor of the manipulative and soft tissue groups. Between-group effect sizes were small. CONCLUSIONS: The application of an atlanto-occipital thrust manipulation or soft tissue technique targeted to the suboccipital muscles led to an immediate increase in pressure pain thresholds over latent TrPs in the masseter and temporalis muscles and an increase in maximum active mouth opening. Nevertheless, the effects of both interventions were small and future studies are required to elucidate the clinical relevance of these changes. LEVEL OF EVIDENCE : Therapy, level 1b. J Orthop Sports Phys Ther 2010;40(5):310-317. doi:10.2519/jospt.2010.3257. KEYWORDSDS: cervical manipulation, muscle trigger points, neck, TMJ, upper cervical.
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In recent years, power systems have experienced many changes in their paradigm. The introduction of new players in the management of distributed generation leads to the decentralization of control and decision-making, so that each player is able to play in the market environment. In the new context, it will be very relevant that aggregator players allow midsize, small and micro players to act in a competitive environment. In order to achieve their objectives, virtual power players and single players are required to optimize their energy resource management process. To achieve this, it is essential to have financial resources capable of providing access to appropriate decision support tools. As small players have difficulties in having access to such tools, it is necessary that these players can benefit from alternative methodologies to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), and intended to support smaller players. In this case the present methodology uses a training set that is created using energy resource scheduling solutions obtained using a mixed-integer linear programming (MIP) approach as the reference optimization methodology. The trained network is used to obtain locational marginal prices in a distribution network. The main goal of the paper is to verify the accuracy of the ANN based approach. Moreover, the use of a single ANN is compared with the use of two or more ANN to forecast the locational marginal price.
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In competitive electricity markets with deep concerns for the efficiency level, demand response programs gain considerable significance. As demand response levels have decreased after the introduction of competition in the power industry, new approaches are required to take full advantage of demand response opportunities. Grid operators and utilities are taking new initiatives, recognizing the value of demand response for grid reliability and for the enhancement of organized spot markets’ efficiency. This paper proposes a methodology for the selection of the consumers that participate in an event, which is the responsibility of the Portuguese transmission network operator. The proposed method is intended to be applied in the interruptibility service implemented in Portugal, in convergence with Spain, in the context of the Iberian electricity market. This method is based on the calculation of locational marginal prices (LMP) which are used to support the decision concerning the consumers to be schedule for participation. The proposed method has been computationally implemented and its application is illustrated in this paper using a 937 bus distribution network with more than 20,000 consumers.
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Distribution systems are the first volunteers experiencing the benefits of smart grids. The smart grid concept impacts the internal legislation and standards in grid-connected and isolated distribution systems. Demand side management, the main feature of smart grids, acquires clear meaning in low voltage distribution systems. In these networks, various coordination procedures are required between domestic, commercial and industrial consumers, producers and the system operator. Obviously, the technical basis for bidirectional communication is the prerequisite of developing such a coordination procedure. The main coordination is required when the operator tries to dispatch the producers according to their own preferences without neglecting its inherent responsibility. Maintenance decisions are first determined by generating companies, and then the operator has to check and probably modify them for final approval. In this paper the generation scheduling from the viewpoint of a distribution system operator (DSO) is formulated. The traditional task of the DSO is securing network reliability and quality. The effectiveness of the proposed method is assessed by applying it to a 6-bus and 9-bus distribution system.
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In competitive electricity markets with deep concerns for the efficiency level, demand response programs gain considerable significance. As demand response levels have decreased after the introduction of competition in the power industry, new approaches are required to take full advantage of demand response opportunities. This paper presents DemSi, a demand response simulator that allows studying demand response actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. The use of DemSi by a retailer in a situation of energy shortage, is presented. Load reduction is obtained using a consumer based price elasticity approach supported by real time pricing. Non-linear programming is used to maximize the retailer’s profit, determining the optimal solution for each envisaged load reduction. The solution determines the price variations considering two different approaches, price variations determined for each individual consumer or for each consumer type, allowing to prove that the approach used does not significantly influence the retailer’s profit. The paper presents a case study in a 33 bus distribution network with 5 distinct consumer types. The obtained results and conclusions show the adequacy of the used methodology and its importance for supporting retailers’ decision making.
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Power systems are planed and operated according to the optimization of the available resources. Traditionally these tasks were mostly undertaken in a centralized way which is no longer adequate in a competitive environment. Demand response can play a very relevant role in this context but adequate tools to negotiate this kind of resources are required. This paper presents an approach to deal with these issues, by using a multi-agent simulator able to model demand side players and simulate their strategic behavior. The paper includes an illustrative case study that considers an incident situation. The distribution company is able to reduce load curtailment due to load flexibility contracts previously established with demand side players.
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Adequate decision support tools are required by electricity market players operating in a liberalized environment, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services (AS) represent a good negotiation opportunity that must be considered by market players. Based on the ancillary services forecasting, market participants can use strategic bidding for day-ahead ancillary services markets. For this reason, ancillary services market simulation is being included in MASCEM, a multi-agent based electricity market simulator that can be used by market players to test and enhance their bidding strategies. The paper presents the methodology used to undertake ancillary services forecasting, based on an Artificial Neural Network (ANN) approach. ANNs are used to day-ahead prediction of non-spinning reserve (NS), regulation-up (RU), and regulation down (RD). Spinning reserve (SR) is mentioned as past work for comparative analysis. A case study based on California ISO (CAISO) data is included; the forecasted results are presented and compared with CAISO published forecast.
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Mestrado em Engenharia Informática
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O objectivo desta tese é dimensionar um secador em leito fluidizado para secagem de cereais, nomeadamente, secagem de sementes de trigo. Inicialmente determinaram-se as condições de hidrodinâmica (velocidade de fluidização, TDH, condições mínimas de “slugging”, expansão do leito, dimensionamento do distribuidor e queda de pressão). Com as condições de hidrodinâmica definidas, foi possível estimar as dimensões físicas do secador. Neste ponto, foram realizados estudos relativamente à cinética da secagem e à própria secagem. Foi também estudado o transporte pneumático das sementes. Deste modo, determinaram-se as velocidades necessárias ao transporte pneumático e respectivas quedas de pressão. Por fim, foi realizada uma análise custos para que se soubesse o custo deste sistema de secagem. O estudo da secagem foi feito para uma temperatura de operação de 50ºC, tendo a ressalva que no limite se poderia trabalhar com 60ºC. A velocidade de operação é de 2,43 m/s, a altura do leito fixo é de 0,4 m, a qual sofre uma expansão durante a fluidização, assumindo o valor de 0,79 m. O valor do TDH obtido foi de 1,97 m, que somado à expansão do leito permite obter uma altura total da coluna de 2,76 m. A altura do leito fixo permite retirar o valor do diâmetro que é de 0,52 m. Verifica-se que a altura do leito expandido é inferior à altura mínima de “slugging” (1,20 m), no entanto, a velocidade de operação é superior à velocidade mínima de “slugging” (1,13 m/s). Como só uma das condições mínimas é cumprida, existe a possibilidade da ocorrência de “slugging”. Finalmente, foi necessário dimensionar o distribuidor, que com o diâmetro de orifício de 3 mm, valor inferior ao da partícula (3,48 mm), permite a distruibuição do fluido de secagem na coluna através dos seus 3061 orifícios. O inicio do estudo da secagem centrou-se na determinação do tempo de secagem. Além das duas temperaturas atrás referidas, foram igualmente consideradas duas humidades iniciais para os cereais (21,33% e 18,91%). Temperaturas superiores traduzem-se em tempos de secagem inferiores, paralelamente, teores de humidade inicial inferiores indicam tempos menores. Para a temperatura de 50ºC, os tempos de secagem assumiram os valores de 2,8 horas para a 21,33% de humidade e 2,7 horas para 18,91% de humidade. Foram também tidas em conta três alturas do ano para a captação do ar de secagem, Verão e Inverno representando os extremos, e a Meia- Estação. Para estes três casos, foi possível verificar que a humidade específica do ar não apresenta alterações significativas entre a entrada no secador e a corrente de saída do mesmo equipamento, do mesmo modo que a temperatura de saída pouco difere da de entrada. Este desvio de cerca de 1% para as humidades e para as temperaturas é explicado pela ausência de humidade externa nas sementes e na pouca quantidade de humidade interna. Desta forma, estes desvios de 1% permitem a utilização de uma razão de reciclagem na ordem dos 100% sem que o comportamento da secagem se altere significativamente. O uso de 100% de reciclagem permite uma poupança energética de cerca de 98% no Inverno e na Meia-Estação e de cerca de 93% no Verão. Caso não fosse realizada reciclagem, seria necessário fornecer à corrente de ar cerca de 18,81 kW para elevar a sua temperatura de 20ºC para 50ºC (Meia-Estação), cerca de 24,67 kW para elevar a sua temperatura de 10ºC para 50ºC (Inverno) e na ordem dos 8,90 kW para elevar a sua temperatura dos 35ºC para 50ºC (Verão). No caso do transporte pneumático, existem duas linhas, uma horizontal e uma vertical, logo foi necessário estimar o valor da velocidade das partículas para estes dois casos. Na linha vertical, a velocidade da partícula é cerca de 25,03 m/s e cerca de 35,95 m/s na linha horizontal. O menor valor para a linha vertical prende-se com o facto de nesta zona ter que se vencer a força gravítica. Em ambos os circuitos a velocidade do fluido é cerca de 47,17 m/s. No interior da coluna, a velocidade do fluido tem o valor de 10,90 m/s e a velocidade das partículas é de 1,04 m/s. A queda de pressão total no sistema é cerca de 2408 Pa. A análise de custos ao sistema de secagem indicou que este sistema irá acarretar um custo total (fabrico mais transporte) de cerca de 153035€. Este sistema necessita de electricidade para funcionar, e esta irá acarretar um custo anual de cerca de 7951,4€. Embora este sistema de secagem apresente a possibilidade de se realizar uma razão de reciclagem na ordem dos 100% e também seja possível adaptar o mesmo para diferentes tipos de cereais, e até outros tipos de materiais, desde que possam ser fluidizados, o seu custo impede que a realização deste investimento não seja atractiva, especialmente tendo em consideração que se trata de uma instalação à escala piloto com uma capacidade de 45 kgs.
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The introduction of electricity markets and integration of Distributed Generation (DG) have been influencing the power system’s structure change. Recently, the smart grid concept has been introduced, to guarantee a more efficient operation of the power system using the advantages of this new paradigm. Basically, a smart grid is a structure that integrates different players, considering constant communication between them to improve power system operation and management. One of the players revealing a big importance in this context is the Virtual Power Player (VPP). In the transportation sector the Electric Vehicle (EV) is arising as an alternative to conventional vehicles propel by fossil fuels. The power system can benefit from this massive introduction of EVs, taking advantage on EVs’ ability to connect to the electric network to charge, and on the future expectation of EVs ability to discharge to the network using the Vehicle-to-Grid (V2G) capacity. This thesis proposes alternative strategies to control these two EV modes with the objective of enhancing the management of the power system. Moreover, power system must ensure the trips of EVs that will be connected to the electric network. The EV user specifies a certain amount of energy that will be necessary to charge, in order to ensure the distance to travel. The introduction of EVs in the power system turns the Energy Resource Management (ERM) under a smart grid environment, into a complex problem that can take several minutes or hours to reach the optimal solution. Adequate optimization techniques are required to accommodate this kind of complexity while solving the ERM problem in a reasonable execution time. This thesis presents a tool that solves the ERM considering the intensive use of EVs in the smart grid context. The objective is to obtain the minimum cost of ERM considering: the operation cost of DG, the cost of the energy acquired to external suppliers, the EV users payments and remuneration and penalty costs. This tool is directed to VPPs that manage specific network areas, where a high penetration level of EVs is expected to be connected in these areas. The ERM is solved using two methodologies: the adaptation of a deterministic technique proposed in a previous work, and the adaptation of the Simulated Annealing (SA) technique. With the purpose of improving the SA performance for this case, three heuristics are additionally proposed, taking advantage on the particularities and specificities of an ERM with these characteristics. A set of case studies are presented in this thesis, considering a 32 bus distribution network and up to 3000 EVs. The first case study solves the scheduling without considering EVs, to be used as a reference case for comparisons with the proposed approaches. The second case study evaluates the complexity of the ERM with the integration of EVs. The third case study evaluates the performance of scheduling with different control modes for EVs. These control modes, combined with the proposed SA approach and with the developed heuristics, aim at improving the quality of the ERM, while reducing drastically its execution time. The proposed control modes are: uncoordinated charging, smart charging and V2G capability. The fourth and final case study presents the ERM approach applied to consecutive days.
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Este trabalho é realizado no domínio das obras de engenharia, área onde o desmonte de rocha com recurso a explosivos em obras rodoviárias é uma actividade específica e consistiu no acompanhamento e execução de três obras rodoviárias de média e grande dimensão. A necessidade de executar escavações, recorrendo a técnicas de desmonte cuidadoso de contorno, onde o plano de corte do talude final deve obedecer a requisitos de localização, alinhamento, inclinação, estabilidade e também estéticos, acrescendo a isto a necessidade de optimizar os meios envolvidos, obriga a que esta actividade seja encarada de uma forma sistematizada, visando o racional aproveitamento de recursos. A execução desta actividade requer conhecimentos no domínio das técnicas de desmonte de contorno, dos explosivos, do mecanismo de rotura de rochas, da operação de perfuração e da geomecânica dos maciços. A abordagem deste trabalho incide sobre a técnica denominada de pré‐corte e tem como objectivo encontrar uma equação característica que permita relacionar diferentes parâmetros envolvidos nesta actividade. Este objectivo é alcançado recorrendo à correlação entre equações relativas à pressão de detonação, à pressão no furo e ao espaçamento entre furos consecutivos, desenvolvidas por outros autores. Desta forma obteve‐se uma equação que relaciona parâmetros relativos ao maciço rochoso (resistência à tracção), ao explosivo (velocidade de detonação e densidade) e ao diagrama de fogo (concentração de carga – volume de explosivo e comprimento do furo – volume do furo). A comparação entre os valores destes parâmetros obtidos na produção e os obtidos com recurso à equação característica permite concluir que a sua aplicação para execução de futuras obras possibilita uma optimização dos meios envolvidos.
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The relation of automatic auditory discrimination, measured with MMN, with the type of stimuli has not been well established in the literature, despite its importance as an electrophysiological measure of central sound representation. In this study, MMN response was elicited by pure-tone and speech binaurally passive auditory oddball paradigm in a group of 8 normal young adult subjects at the same intensity level (75 dB SPL). The frequency difference in pure-tone oddball was 100 Hz (standard = 1 000 Hz; deviant = 1 100 Hz; same duration = 100 ms), in speech oddball (standard /ba/; deviant /pa/; same duration = 175 ms) the Portuguese phonemes are both plosive bi-labial in order to maintain a narrow frequency band. Differences were found across electrode location between speech and pure-tone stimuli. Larger MMN amplitude, duration and higher latency to speech were verified compared to pure-tone in Cz and Fz as well as significance differences in latency and amplitude between mastoids. Results suggest that speech may be processed differently than non-speech; also it may occur in a later stage due to overlapping processes since more neural resources are required to speech processing.
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Systems composed of distinct operational modes are a common necessity for embedded applications with strict timing requirements. With the emergence of multi-core platforms protocols to handle these systems are required in order to provide this basic functionality.In this work a description on the problems of creating an effective mode-transition protocol are presented and it is proven that in some cases previous single-core protocols can not be extended to handle the mode-transition in multi-core.
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Most of today’s embedded systems are required to work in dynamic environments, where the characteristics of the computational load cannot always be predicted in advance. Furthermore, resource needs are usually data dependent and vary over time. Resource constrained devices may need to cooperate with neighbour nodes in order to fulfil those requirements and handle stringent non-functional constraints. This paper describes a framework that facilitates the distribution of resource intensive services across a community of nodes, forming temporary coalitions for a cooperative QoSaware execution. The increasing need to tailor provided service to each application’s specific needs determines the dynamic selection of peers to form such a coalition. The system is able to react to load variations, degrading its performance in a controlled fashion if needed. Isolation between different services is achieved by guaranteeing a minimal service quality to accepted services and by an efficient overload control that considers the challenges and opportunities of dynamic distributed embedded systems.