4 resultados para Small Area Populations

em Instituto Politécnico do Porto, Portugal


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Com o presente trabalho pretende-se avaliar a segurança de um elemento estrutural de um edifício antigo (tradicional) da baixa da Porto edificado nos finais do última quartel do século XVIII. Após uma pequena introdução onde será exposta a estrutura do trabalho, capítulo a capítulo, será feita uma explanação histórica sobre o meio urbano onde o edifício está construído, os métodos construtivos adotados desde 1755 até aos nossos dias, passando pelo historial do próprio edificado. Passar-se-á de seguida à análise do edifício, apresentando evidências do que eventualmente terá sido construído de base até aos dias de hoje. Será feita uma apresentação dos elementos construtivos que compõe actualmente o edificio, apresentando evidências do estado de cada um, ou seja, será feita um levantamento das patologias evidentes e visíveis a olho nu, recorrendo a métodos expeditos de análise. Também será feito um levantamento dimensional da volumetria , planimétria do edifício e da compartimentação, registando as dimensões dos elementos estruturais e arquitectónicos relevantes para a realização dos respectivos projectos. Posteriormente passar-se-á para uma exposição dos diversos tipos de ensaios, começando pela apresentação dos métodos disponíveis atualmente para a caracterização física e mecânica dos materiais, seguida da realização dos ensaios, recolha de dados no edificado e proposta de definição dos materiais. Após a recolha de todos estes elementos, estão reunidas as condições para se passar a uma análise estrutural, onde para estes objectivos, serão aplicados os mais avançados programas de cálculo estrutural existentes na actualidade, suportados em metodologias que analisam não só o elemento mas também a sua interação com os que lhe servem de fronteira acabando-se num todo que é o edifício. Pretende-se com este estudo estrutural avaliar a segurança de uma parte significativa e representativa do edifico baseado na regulamentação em vigor. A parte a analisar representa o pavimento aplicado na construção. Finalizar-se-á com a apresentação das conclusões, propondo eventuais ações futuras.

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In the energy management of the isolated operation of small power system, the economic scheduling of the generation units is a crucial problem. Applying right timing can maximize the performance of the supply. The optimal operation of a wind turbine, a solar unit, a fuel cell and a storage battery is searched by a mixed-integer linear programming implemented in General Algebraic Modeling Systems (GAMS). A Virtual Power Producer (VPP) can optimal operate the generation units, assured the good functioning of equipment, including the maintenance, operation cost and the generation measurement and control. A central control at system allows a VPP to manage the optimal generation and their load control. The application of methodology to a real case study in Budapest Tech, demonstrates the effectiveness of this method to solve the optimal isolated dispatch of the DC micro-grid renewable energy park. The problem has been converged in 0.09 s and 30 iterations.

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Distributed generation unlike centralized electrical generation aims to generate electrical energy on small scale as near as possible to load centers, interchanging electric power with the network. This work presents a probabilistic methodology conceived to assist the electric system planning engineers in the selection of the distributed generation location, taking into account the hourly load changes or the daily load cycle. The hourly load centers, for each of the different hourly load scenarios, are calculated deterministically. These location points, properly weighted according to their load magnitude, are used to calculate the best fit probability distribution. This distribution is used to determine the maximum likelihood perimeter of the area where each source distributed generation point should preferably be located by the planning engineers. This takes into account, for example, the availability and the cost of the land lots, which are factors of special relevance in urban areas, as well as several obstacles important for the final selection of the candidates of the distributed generation points. The proposed methodology has been applied to a real case, assuming three different bivariate probability distributions: the Gaussian distribution, a bivariate version of Freund’s exponential distribution and the Weibull probability distribution. The methodology algorithm has been programmed in MATLAB. Results are presented and discussed for the application of the methodology to a realistic case and demonstrate the ability of the proposed methodology for efficiently handling the determination of the best location of the distributed generation and their corresponding distribution networks.

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Due to their detrimental effects on human health, the scientific interest in ultrafine particles (UFP) has been increasing, but available information is far from comprehensive. Compared to the remaining population, the elderly are potentially highly susceptible to the effects of outdoor air pollution. Thus, this study aimed to (1) determine the levels of outdoor pollutants in an urban area with emphasis on UFP concentrations and (2) estimate the respective dose rates of exposure for elderly populations. UFP were continuously measured over 3 weeks at 3 sites in north Portugal: 2 urban (U1 and U2) and 1 rural used as reference (R1). Meteorological parameters and outdoor pollutants including particulate matter (PM10), ozone (O3), nitric oxide (NO), and nitrogen dioxide (NO2) were also measured. The dose rates of inhalation exposure to UFP were estimated for three different elderly age categories: 64–70, 71–80, and >81 years. Over the sampling period levels of PM10, O3 and NO2 were in compliance with European legislation. Mean UFP were 1.7 × 104 and 1.2 × 104 particles/cm3 at U1 and U2, respectively, whereas at rural site levels were 20–70% lower (mean of 1 ×104 particles/cm3). Vehicular traffic and local emissions were the predominant identified sources of UFP at urban sites. In addition, results of correlation analysis showed that UFP were meteorologically dependent. Exposure dose rates were 1.2- to 1.4-fold higher at urban than reference sites with the highest levels noted for adults at 71–80 yr, attributed mainly to higher inhalation rates.