988 resultados para energy utilization


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Dissertação para obtenção do Grau de Mestre em Engenharia do Ambiente Perfil de Gestão e Sistemas Ambientais

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Heterogeneous multicore platforms are becoming an interesting alternative for embedded computing systems with limited power supply as they can execute specific tasks in an efficient manner. Nonetheless, one of the main challenges of such platforms consists of optimising the energy consumption in the presence of temporal constraints. This paper addresses the problem of task-to-core allocation onto heterogeneous multicore platforms such that the overall energy consumption of the system is minimised. To this end, we propose a two-phase approach that considers both dynamic and leakage energy consumption: (i) the first phase allocates tasks to the cores such that the dynamic energy consumption is reduced; (ii) the second phase refines the allocation performed in the first phase in order to achieve better sleep states by trading off the dynamic energy consumption with the reduction in leakage energy consumption. This hybrid approach considers core frequency set-points, tasks energy consumption and sleep states of the cores to reduce the energy consumption of the system. Major value has been placed on a realistic power model which increases the practical relevance of the proposed approach. Finally, extensive simulations have been carried out to demonstrate the effectiveness of the proposed algorithm. In the best-case, savings up to 18% of energy are reached over the first fit algorithm, which has shown, in previous works, to perform better than other bin-packing heuristics for the target heterogeneous multicore platform.

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Dissertação para obtenção do Grau de Mestre em Engenharia Civil

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4th International Conference on Climbing and Walking Robots - From Biology to Industrial Applications

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Paper presented at the 5th European Conference Economics and Management of Energy in Industry, Vilamoura, Algarve. Apr. 14-17, 2009, 11p. URL: http:// www.cenertec.pt/ecemei/

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In this study, energy production for autonomous underwater vehicles is investigated. This project is part of a bigger project called TURTLE. The autonomous vehicles perform oceanic researches at seabed for which they are intended to be kept operational underwater for several months. In order to ful l a long-term underwater condition, powerful batteries are combined with \micro- scale" energy production on the spot. This work tends to develop a system that generates power up to a maximum of 30 W. Latter energy harvesting structure consists basically of a turbine combined with a generator and low-power electronics to adjust the achieved voltage to a required battery charger voltage. Every component is examined separately hence an optimum can be de ned for all, and subsequently also an overall optimum. Di erent design parameters as e.g. number of blades, solidity ratio and cross-section area are compared for di erent turbines, in order to see what is the most feasible type. Further, a generator is chosen by studying how ux distributions might be adjusted to low velocities, and how cogging torque can be excluded by adapted designs. Low-power electronics are con gured in order to convert and stabilize heavily varying three-phase voltages to a constant, recti ed voltage which is usable for battery storage. Clearly, di erent component parameters as maximum power and torque are matched here to increase the overall power generation. Furthermore an overall maximum power is set up for achieving a maximum power ow at load side. Due to among others typical low velocities of about 0.1 to 0.5 m/s, and constructing limits of the prototype, the vast range of components is restricted to only a few that could be used. Hence, a helical turbine is combined in a direct drive mode to a coreless-stator axial- ux permanent-magnet generator, from which the output voltage is adjusted subsequently by a recti er, impedance matching unit, upconverter circuit and an overall control unit to regulate di erent component parameters. All these electronics are combined in a closed-loop design to involve positive feedback signals. Furthermore a theoretical con guration for the TURTLE vehicle is described in this work and a solution is proposed that might be implemented, for which several design tests are performable in a future study.

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Presented at Work in Progress Session, IEEE Real-Time Systems Symposium (RTSS 2015). 1 to 4, Dec, 2015. San Antonio, U.S.A..

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This research focuses on the influence of company sector and size on the level of utilization of Basic and Advanced Quality Tools. The paper starts with a literature review and then presents the methodology used for the survey. Based on the responses from 202 managers of Portuguese ISO 9001:2008 Quality Management System certified organizations, statistical tests were performed. Results show, with 95% confidence level, that industry and services have a similar proportion of use of Basic and Advanced Quality Tools. Concerning size, bigger companies show a higher trend to use Advanced Quality Tools than smaller ones. For Basic Quality Tools, there was no statistical significant difference at a 95% confidence level for different company sizes. The three basic Quality tools with higher utilization were Check sheets, Flow charts and Histograms (for Services) or Control Charts/ (for Industry), however 22% of the surveyed organizations reported not using Basic Quality Tools, which highlights a major improvement opportunity for these companies. Additional studies addressing motivations, benefits and barriers for Quality Tools application should be undertaken for further validation and understanding of these results.

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Gestão de Informação

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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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This paper presents a decision support methodology for electricity market players’ bilateral contract negotiations. The proposed model is based on the application of game theory, using artificial intelligence to enhance decision support method’s adaptive features. This model is integrated in AiD-EM (Adaptive Decision Support for Electricity Markets Negotiations), a multi-agent system that provides electricity market players with strategic behavior capabilities to improve their outcomes from energy contracts’ negotiations. Although a diversity of tools that enable the study and simulation of electricity markets has emerged during the past few years, these are mostly directed to the analysis of market models and power systems’ technical constraints, making them suitable tools to support decisions of market operators and regulators. However, the equally important support of market negotiating players’ decisions is being highly neglected. The proposed model contributes to overcome the existing gap concerning effective and realistic decision support for electricity market negotiating entities. The proposed method is validated by realistic electricity market simulations using real data from the Iberian market operator—MIBEL. Results show that the proposed adaptive decision support features enable electricity market players to improve their outcomes from bilateral contracts’ negotiations.

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Wireless body area networks (WBANs) are expected to play a significant role in smart healthcare systems. One of the most important attributes of WBANs is to increase network lifetime by introducing novel and low-power techniques on the energy-constrained sensor nodes. Medium access control (MAC) protocols play a significant role in determining the energy consumption in WBANs. Existing MAC protocols are unable to accommodate communication requirements in WBANs. There is a need to develop novel, scalable and reliable MAC protocols that must be able to address all these requirements in a reliable manner. In this special issue, we attracted high quality research and review papers on the recent advances in MAC protocols for WBANs.

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Introduction: Antibiotics are one of the most common prescribed drugs in the NICU; despite this, studies on its use are scarce. Aim: To assess antibiotics utilization ratio in a medical surgical NICU. Methods: Prospective, observational study. Daily registry of antibiotics given to newborn infants; two periods of two months, 2010; data collected every day after the second medical round. Variables: treated patients, days on antibiotics, treatment/patient days, number of courses, number of antibiotics. Antibiotics utilization ratio – ratio days on antibiotics/days at the NICU. Results: Patients enrolled - 113; admission days – 1722; length of stay - 15.2 days; 85 newborn infants were given antibiotics; days on antibiotics - 771; antibiotics utilization ratio – 44.8; 292 antibiotics were prescribed; 61.8% of patients were given more than two antibiotics and 15.3% had more than one course. The most frequents were gentamicin, cefotaxime, ampicillin, vancomycin and metronidazole. Conclusion: Antibiotics utilization ratio should be subject of audits and a quality criteria on NICUs evaluation.

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Com a melhoria das condições de vida verificada nas últimas décadas em Portugal e no mundo, tem-se assistido a um importante desenvolvimento dos atributos funcionais dos edifícios, onde o conforto térmico assume um papel importante, é nesse sentido que a presente dissertação aborda a área do Desempenho Térmico de Edifícios, mais precisamente os do sector residencial. Esta dissertação dividiu-se em três grandes partes: inicialmente é feito um enquadramento teórico do tema, em seguida faz-se a apresentação das metodologias de cálculo e, por último, a apresentação do caso de estudo e análise dos resultados. Procura-se analisar a situação energética no sector residencial, dando particular ênfase às causas e medidas correctivas a aplicar para evitar o aumento do consumo de energia. Também são abordadas as metodologias presentes na Legislação Portuguesa em vigor, e nas novas propostas que espera-se que entrem em vigor a 1 de Dezembro de 2013. Sendo que o principal objectivo desta dissertação é o estudo da nova proposta legislativa e apresentar um documento que procure efectuar uma comparação detalhada entre o DL 80/2006, de 4 de Abril e o DL 118/20013, de 20 de Agosto e sobretudo referir quais as implicações ao nível das soluções construtivas adoptadas e da certificação energética. Após esta analise, é apresentado um caso de estudo que consiste num edifício de habitação unifamiliar que será alvo da aplicação destes dois documentos. Por último é apresentada uma análise dos resultados comparando a classe energética conseguida pelo edifício através das duas metodologias de cálculo.