35 resultados para seasonal distribution alfalfa yield


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Energy Resources Management can play a very relevant role in future power systems in SmartGrid context, with high penetration of distributed generation and storage systems. This paper deals with the importance of resources management in incident situation. The system to consider a high penetration of distributed generation, demand response, storage units and network reconfiguration. A case study evidences the advantages of using a flexible SCADA to control the energy resources in incident situation.

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For some years now, translation theorist and educator Anthony Pym has been trying to establish a dialogue between the academic tradition he comes from and the world of the language industries into which he is meant to introduce his students: in other words, between the Translation Studies discipline and the localisation sector. This rapprochement is also the stated aim of his new book The Moving Text (p. 159). Rather than collect and synthesise what was previously dispersed over several articles, Pym has rewritten his material completely, both literally and conceptually, all in the light of the more than three decades of research he has conducted into the field of cross--cultural communication. The theoretical arguments are ably supported by a few short but telling and well-exploited examples.

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O tratamento de água para consumo humano tem por objectivos não só a sua qualidade em termos de parâmetros químicos e físicos, como também microbiológicos. Considerando que a MON pode afectar os sistemas de tratamento, a sua redução minimiza a formação de subprodutos de desinfecção, como por exemplo os trihalometanos e diminui o crescimento de microrganismos ao longo do sistema de distribuição. Nesse sentido tem havido recentemente uma grande evolução na investigação relativamente à remoção de matéria orgânica natural. O principal objectivo deste trabalho foi o de caracterizar a matéria orgânica presente na água bruta e ao longo do processo de tratamento, assim como a sua evolução sazonal. Os dados obtidos a partir desta caracterização poderão contribuir para uma futura optimização no processo de tratamento de águas de consumo. O processo utilizado baseou-se na sorção da matéria orgânica dissolvida em diferentes tipos de resinas de permuta iónica, DAX-8, DAX-4 e IRA-958, permitindo a sua separação em várias fracções: ácidos muito hidrofóbicos (VHA), ácidos ligeiramente hidrofóbicos (SHA), compostos hidrofílicos carregados (CHA) e hidrofílicos neutros (NEU). De acordo com os resultados obtidos apenas a fracção NEU demonstrou ter uma tendência sazonal, apresentando valores máximos no Verão, nos pontos de amostragem referentes à água bruta superficial (PA802) e água bruta superficial após pré-tratamento por filtração (PA800). Os valores de COD não mostraram uma variação sazonal para as amostras de água bruta superficial que rondaram os 2 mg C/L ao longo do período de amostragem (Julho a Outubro), durante o qual se verificou uma baixa pluviosidade e temperaturas médias muito semelhantes. Os compostos NEU predominam em todos os pontos de amostragem não apresentando uma tendência definida ao longo do tratamento. Observou-se uma diminuição das fracções SHA e CHA ao longo do tratamento. Não se pode indicar uma tendência definida relativamente à fracção VHA. Verifica-se globalmente uma diminuição do teor de MON ao longo do tratamento. Este trabalho demonstrou que na água bruta superficial existe uma predominância dos compostos NEU, seguidos dos SHA, dos VHA e finalmente dos compostos CHA. Na água bruta captada no sub-leito do rio, verifica-se apenas a existência dos compostos NEU, sendo as restantes fracções praticamente nulas. Os valores mais elevados de TSUVA254nm foram obtidos para as amostras que não sofreram qualquer tratamento, água bruta do sub-leito (PA903) e superficial (PA802), e água bruta após pré-filtração (PA800). Nos restantes pontos de amostragem, apesar de se verificarem valores inferiores, não se observa uma diminuição deste parâmetro ao longo do tratamento, nem uma variação sazonal. Os valores de TSUVA254nm obtidos são geralmente inferiores a 3 L.mgC-1.m-1, correspondendo a materiais não húmicos, que são considerados biodegradáveis. Para as amostras de água tratada os valores oscilam entre os 1,23 e 1,58 L.mgC-1.m-1, valores inferiores a 2 L.mgC-1.m-1, o que é considerado um valor de referência ao nível do tratamento, segundo a USEPA.

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O chocolate é considerado uma emulsão complexa e um alimento de luxo, que durante o seu consumo provoca estímulos que activam os centros de prazer do cérebro Humano. Tendo em conta a importância deste alimento torna-se necessário estudar e avaliar a melhor forma de melhorar a qualidade do chocolate. Este trabalho teve como objectivo verificar e analisar a qualidade do processo de fabrico da massa de chocolate, no que respeita (i) a rastreabilidade das matérias-primas e do produto acabado e, por outro lado, (ii) determinar e estudar o efeito de alguns parâmetros do processo nas características da massa, através das variáveis viscosidade, tensão de corte, tensão de corte crítica (“yield value”) e granulometria. Estas variáveis foram medidas em massas de chocolate de leite com o nome de formulação CAI e provenientes das duas unidades fabris da empresa (UF1 e UF2). Os parâmetros estudados na UF1 foram a influência das conchas e dos ingredientes. Na UF2 estudou-se a influência dos inutilizados de fabrico e a influência dos inutilizados de fabrico juntamente com o efeito de um ingrediente que foi o açúcar. Os resultados da viscosidade, tensão de corte e tensão de corte crítica (“yield value”) foram analisados estatisticamente por análise de variância (ANOVA), recorrendo aos testes de Komolgorov-Smirnov, Shapiro-Wilk e de Levene para verificar as condições de aplicabilidade desta análise. Os resultados da granulometria como não aderiram a uma distribuição normal foram analisados pelo método não paramétrico de Kruskal-Wallis. Estas análises foram executadas no programa “Statistical Package for the Social Sciences” (SPSS). Pelos resultados obtidos, conclui-se que, para a UF1, a concha afecta a tensão de corte, viscosidade e a tensão de corte crítica do chocolate produzido, na medida em que existem diferenças entre as conchas estudadas. Para esta unidade conclui-se que os ingredientes também influenciam a granulometria da massa. No caso da UF2, conclui-se que a tensão de corte é afectada apenas pelo lote de açúcar, a viscosidade é afectada tanto pelo lote de açúcar como pela presença de inutilizados de fabrico e a tensão de corte crítica não é afectada por nenhum destes efeitos. A granulometria, nesta unidade é afectada pelos lotes de açúcar estudados.

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Traffic emissions and tobacco smoke are considered two main sources of polycyclic aromatic hydrocarbons (PAHs) in indoor and outdoor air. In this study, the impact of these sources on the level of fine particulate matter (PM2.5) and on the distribution of 15 PAHs regarded as priority pollutants by the US-EPA on PM2.5 were evaluated and compared. Outdoor and indoor PM2.5 samples were collected during winter 2008 in Oporto city in Portugal, for sampling periods of 12 and 24 hours, respectively. The outdoor PM2.5 were sampled at one site directly influenced by traffic emissions and the indoor PM2.5 samples were collected at one home directly influenced by tobacco smoke and another one without smoke. A methodology based on microwave-assisted extraction and liquid chromatography with fluorescence detection was applied for the efficient PAHs determination in indoor and outdoor PM2.5. PAHs in indoor PM2.5 concentrations were significantly influenced by the presence of traffic and tobacco smoking emissions. The mean of ΣPAHs in the outdoor traffic PM2.5 was not significantly different from the value attained in the indoor without smoking site. The tobacco smoke increased significantly PAHs concentrations on average about 1000 times more, when compared with the outdoor profile samples suggesting that tobacco smoking may be the most important source of indoor PAHs pollution.

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Future distribution systems will have to deal with an intensive penetration of distributed energy resources ensuring reliable and secure operation according to the smart grid paradigm. SCADA (Supervisory Control and Data Acquisition) is an essential infrastructure for this evolution. This paper proposes a new conceptual design of an intelligent SCADA with a decentralized, flexible, and intelligent approach, adaptive to the context (context awareness). This SCADA model is used to support the energy resource management undertaken by a distribution network operator (DNO). Resource management considers all the involved costs, power flows, and electricity prices, allowing the use of network reconfiguration and load curtailment. Locational Marginal Prices (LMP) are evaluated and used in specific situations to apply Demand Response (DR) programs on a global or a local basis. The paper includes a case study using a 114 bus distribution network and load demand based on real data.

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This study compared the ground reaction forces (GRF) and plantar pressures between unloaded and occasional loaded gait. The GRF and plantar pressures of 60 participants were recorded during unloaded gait and occasional loaded gait (wearing a backpack that raised their body mass index to 30); this load criterion was adopted because is considered potentially harmful in permanent loaded gait (obese people). The results indicate an overall increase (absolute values) of GRF and plantar pressures during occasional loaded gait (p < 0.05); also, higher normalized (by total weight) values in the medial midfoot and toes, and lower values in the lateral rearfoot region were observed. During loaded gait the magnitude of the vertical GRF (impact and thrust maximum) decreased and the shear forces increased more than did the proportion of the load (normalized values). These data suggest a different pattern of GRF and plantar pressure distribution during occasional loaded compared to unloaded gait.

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This technical report describes the PDFs which have been implemented to model the behaviours of certain parameters of the Repeater-Based Hybrid Wired/Wireless PROFIBUS Network Simulator (RHW2PNetSim) and Bridge-Based Hybrid Wired/Wireless PROFIBUS Network Simulator (BHW2PNetSim).

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Among organic pollutants existing in coastal areas, polycyclic aromatic hydrocarbons (PAHs) are of great concern due to their ubiquity and carcinogenic potential. The aim of this study was to evaluate the seasonal patterns of PAHs in the digestive gland and arm of the common octopus (Octopus vulgaris) from the Northwest Atlantic Portuguese coast. In the different seasons, 18 PAHs were determined and the detoxification capacity of the species was evaluated. Ethoxyresorufin O-deethylase (EROD) and ethoxycoumarin O-deethylase (ECOD) activities were measured to assess phase I biotransformation capacity. Individual PAH ratios were used for major source (pyrolytic/petrogenic) analysis. Risks for human consumption were determined by the total toxicity equivalence approach. Generally, low levels of PAHs were detected in the digestive gland and in the arm of octopus, with a predominance of low molecular over high molecular weight compounds. PAHs exhibited seasonality in the concentrations detected and in their main emission sources. In the digestive gland, the highest total PAH levels were observed in autumn possibly related to fat availability in the ecosystem and food intake. The lack of PAH elimination observed in the digestive gland after captivity could be possibly associated to a low biotransformation capacity, consistent with the negligible/undetected levels of EROD and ECOD activity in the different seasons. The emission sources of PAHs found in the digestive gland varied from a petrogenic profile observed in winter to a pyrolytic pattern in spring. In the arm, the highest PAH contents were observed in June; nevertheless, levels were always below the regulatory limits established for food consumption. The carcinogenic potential calculated for all the sampling periods in the arm were markedly lower than the ones found in various aquatic species from different marine environments. The results presented in this study give relevant baseline data for environmental monitoring of organic pollution in coastal areas.

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This paper proposes a PSO based approach to increase the probability of delivering power to any load point by identifying new investments in distribution energy systems. The statistical failure and repair data of distribution components is the main basis of the proposed methodology that uses a fuzzyprobabilistic modeling for the components outage parameters. The fuzzy membership functions of the outage parameters of each component are based on statistical records. A Modified Discrete PSO optimization model is developed in order to identify the adequate investments in distribution energy system components which allow increasing the probability of delivering power to any customer in the distribution system at the minimum possible cost for the system operator. To illustrate the application of the proposed methodology, the paper includes a case study that considers a 180 bus distribution network.

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This paper proposes a methodology to increase the probability of delivering power to any load point through the identification of new investments. The methodology uses a fuzzy set approach to model the uncertainty of outage parameters, load and generation. A DC fuzzy multicriteria optimization model considering the Pareto front and based on mixed integer non-linear optimization programming is developed in order to identify the adequate investments in distribution networks components which allow increasing the probability of delivering power to all customers in the distribution network at the minimum possible cost for the system operator, while minimizing the non supplied energy cost. To illustrate the application of the proposed methodology, the paper includes a case study which considers an 33 bus distribution network.

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A methodology to increase the probability of delivering power to any load point through the identification of new investments in distribution network components is proposed in this paper. The method minimizes the investment cost as well as the cost of energy not supplied in the network. A DC optimization model based on mixed integer non-linear programming is developed considering the Pareto front technique in order to identify the adequate investments in distribution networks components which allow increasing the probability of delivering power for any customer in the distribution system at the minimum possible cost for the system operator, while minimizing the energy not supplied cost. Thus, a multi-objective problem is formulated. To illustrate the application of the proposed methodology, the paper includes a case study which considers a 180 bus distribution network

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The high penetration of distributed energy resources (DER) in distribution networks and the competitiveenvironment of electricity markets impose the use of new approaches in several domains. The networkcost allocation, traditionally used in transmission networks, should be adapted and used in the distribu-tion networks considering the specifications of the connected resources. The main goal is to develop afairer methodology trying to distribute the distribution network use costs to all players which are usingthe network in each period. In this paper, a model considering different type of costs (fixed, losses, andcongestion 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 vehi-cles with capability of discharging energy to the network, which is known as vehicle-to-grid (V2G). Theproposed model includes three distinct phases of operation. The first phase of the model consists in aneconomic dispatch based on an AC optimal power flow (AC-OPF); in the second phase Kirschen’s andBialek’s tracing algorithms are used and compared to evaluate the impact of each resource in the net-work. Finally, the MW-mile method is used in the third phase of the proposed model. A distributionnetwork of 33 buses with large penetration of DER is used to illustrate the application of the proposedmodel.

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The use of distribution networks in the current scenario of high penetration of Distributed Generation (DG) is a problem of great importance. In the competitive environment of electricity markets and smart grids, Demand Response (DR) is also gaining notable impact with several benefits for the whole system. The work presented in this paper comprises a methodology able to define the cost allocation in distribution networks considering large integration of DG and DR resources. The proposed methodology is divided into three phases and it is based on an AC Optimal Power Flow (OPF) including the determination of topological distribution factors, and consequent application of the MW-mile method. The application of the proposed tariffs definition methodology is illustrated in a distribution network with 33 buses, 66 DG units, and 32 consumers with DR capacity.

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Catastrophic events, such as wars and terrorist attacks, big tornadoes and hurricanes, huge earthquakes, tsunamis, floods, and landslides, are always accompanied by a large number of casualties. The size distribution of these casualties have separately been shown to follow approximate power law (PL) distributions. In this paper, we analyze the number of victims of catastrophic phenomena, in particular, terrorism, and find double PL behavior. This means that the data set is better approximated by two PLs instead of one. We have plotted the two PL parameters corresponding to all terrorist events occurred in every year, from 1980 to 2010. We observe an interesting pattern in the chart, where the lines, that connect each pair of points defining the double PLs, are roughly aligned to each other.