999 resultados para Eolic energy


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Actualmente, é indiscutível a importância das energias ditas renováveis no contexto da produção mundial de energia, destacando-se, dentro destas, a energia eólica pelas suas inúmeras vantagens. Neste artigo descrevem-se as vantagens e desvantagens deste tipo de energia e apresenta-se uma discussão da evolução da potência instalada de acordo com os dados fornecidos pelos organismos correspondentes. Pretende-se, além disso, explicar a evolução da potência instalada na Europa e, mais especificamente, no caso de Portugal, explicar a baixa potência instalada tendo em conta o elevado potencial eólico disponível. The importance of renewable energies in the context of the world energy production is nowadays unquestionable, namely in the case of the eolic energy, due to its specific advantages. In this paper, the advantages and disadvantages of this type of energy are described, and a discussion of the evolution of the wind power installed is presented according to the data published by the different organisms involved. It is intended to show and explain the evolution of the wind power capacity installed in the European Union. Finally, it is discussed the Portuguese specificity characterized by a low wind power installed despite the high eolic potential available.

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Pós-graduação em Engenharia Mecânica - FEG

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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OBJECTIVE: To compare, in patients with cancer and in healthy subjects, measured resting energy expenditure (REE) from traditional indirect calorimetry to a new portable device (MedGem) and predicted REE. DESIGN: Cross-sectional clinical validation study. SETTING: Private radiation oncology centre, Brisbane, Australia. SUBJECTS: Cancer patients (n = 18) and healthy subjects (n = 17) aged 37-86 y, with body mass indices ranging from 18 to 42 kg/m(2). INTERVENTIONS: Oxygen consumption (VO(2)) and REE were measured by VMax229 (VM) and MedGem (MG) indirect calorimeters in random order after a 12-h fast and 30-min rest. REE was also calculated from the MG without adjustment for nitrogen excretion (MGN) and estimated from Harris-Benedict prediction equations. Data were analysed using the Bland and Altman approach, based on a clinically acceptable difference between methods of 5%. RESULTS: The mean bias (MGN-VM) was 10% and limits of agreement were -42 to 21% for cancer patients; mean bias -5% with limits of -45 to 35% for healthy subjects. Less than half of the cancer patients (n = 7, 46.7%) and only a third (n = 5, 33.3%) of healthy subjects had measured REE by MGN within clinically acceptable limits of VM. Predicted REE showed a mean bias (HB-VM) of -5% for cancer patients and 4% for healthy subjects, with limits of agreement of -30 to 20% and -27 to 34%, respectively. CONCLUSIONS: Limits of agreement for the MG and Harris Benedict equations compared to traditional indirect calorimetry were similar but wide, indicating poor clinical accuracy for determining the REE of individual cancer patients and healthy subjects.