1000 resultados para Demanda espontânea
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Both the inadequate use and the ignorance of the different soil tillage implements available in the home market has become one of the leading motives of failures, related to soil and water conservation. The periodical tillage is traditionally utilized after subsoiling for soil clod breaking, leveling and residue incorporation. This work aimed to evaluate the energy requirement for different periodical soil tillage systems performed before and after subsoiling in a soil classified as Distroferric Red Nitosol. The periodic tillage systems were: disk plowing; disk plowing plus one leveling harrowing; disk harrow; disk harrow plus leveling harrowing stirring. The experimental design was a 5x2 factorial scheme with 5 completely randomized blocks. The results show that the periodic soil preparation systems based on disks have better energy efficiency when performed before the operation of subsoiling. The system of soil preparation with harrowing obtained the lower energy demand, in relation to other periodic soil preparation systems, when done after subsoiling.
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This work aims to predict the total maximum demand of a transformer that will be used in power systems to attend a Multiple Unit Consumption (MUC) in design. In 1987, COSERN noted that calculation of maximum total demand for a building should be different from that which defines the scaling of the input protection extension in order to not overestimate the power of the transformer. Since then there have been many changes, both in consumption habits of the population, as in electrical appliances, so that this work will endeavor to improve the estimation of peak demand. For the survey, data were collected for identification and electrical projects in different MUCs located in Natal. In some of them, measurements were made of demand for 7 consecutive days and adjusted for an integration interval of 30 minutes. The estimation of the maximum demand was made through mathematical models that calculate the desired response from a set of information previously known of MUCs. The models tested were simple linear regressions, multiple linear regressions and artificial neural networks. The various calculated results over the study were compared, and ultimately, the best answer found was put into comparison with the previously proposed model
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The opening of the Brazilian market of electricity and competitiveness between companies in the energy sector make the search for useful information and tools that will assist in decision making activities, increase by the concessionaires. An important source of knowledge for these utilities is the time series of energy demand. The identification of behavior patterns and description of events become important for the planning execution, seeking improvements in service quality and financial benefits. This dissertation presents a methodology based on mining and representation tools of time series, in order to extract knowledge that relate series of electricity demand in various substations connected of a electric utility. The method exploits the relationship of duration, coincidence and partial order of events in multi-dimensionals time series. To represent the knowledge is used the language proposed by Mörchen (2005) called Time Series Knowledge Representation (TSKR). We conducted a case study using time series of energy demand of 8 substations interconnected by a ring system, which feeds the metropolitan area of Goiânia-GO, provided by CELG (Companhia Energética de Goiás), responsible for the service of power distribution in the state of Goiás (Brazil). Using the proposed methodology were extracted three levels of knowledge that describe the behavior of the system studied, representing clearly the system dynamics, becoming a tool to assist planning activities
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Piranhas-Açu basin is a Federal watershed with a drainage area of 43.681,5 km2, sited at Brazilian northeast semi arid, with 60% of your area in Paraiba State and 40% in Rio Grande do Norte State. The main river, Piranhas-Açu, has strategic importance for development of these states, because it s an essential source for many socio-economics activities developed along watercourse. The river s reach between Coremas-Mãe D`água Dam and Armando Ribeiro Gonçalves Dam has many irrigation projects, and supply many riverside cities. All this activities practiced in this river s reach consumes high water volumes. Due the importance of this stream and the necessity of an adequate management, this work aims for an impartial and detailed evaluation of real water supply conditions in this river s reach, by the application of hydrological modeling, including the arrangement of main dams in tributaries, and storage reservoir water balance. The rainfall-discharge model s applied in each sub-basins it was selected the model MODHISA- Hydrological Model of Semi Arid, that is a concentrated model with easy application. The simulation produced 50 years of inflows into the reservoirs, for which, were constructed the guaranties curves; and produced 50 years of synthetic discharge data in relevant points on the river and on its affluents; so it was constructed the permanence curves. Confronting the available discharge with the current and futures volumes of raw water captured in this river s reach, it was verified that de demands have high guaranties. This work concluded that the MODHISA Model is suitable to reproduce the hydrologic characteristics of Piranhas-Açu sub-basins, and showing good results
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Difusive processes are extremely common in Nature. Many complex systems, such as microbial colonies, colloidal aggregates, difusion of fluids, and migration of populations, involve a large number of similar units that form fractal structures. A new model of difusive agregation was proposed recently by Filoche and Sapoval [68]. Based on their work, we develop a model called Difusion with Aggregation and Spontaneous Reorganization . This model consists of a set of particles with excluded volume interactions, which perform random walks on a square lattice. Initially, the lattice is occupied with a density p = N/L2 of particles occupying distinct, randomly chosen positions. One of the particles is selected at random as the active particle. This particle executes a random walk until it visits a site occupied by another particle, j. When this happens, the active particle is rejected back to its previous position (neighboring particle j), and a new active particle is selected at random from the set of N particles. Following an initial transient, the system attains a stationary regime. In this work we study the stationary regime, focusing on scaling properties of the particle distribution, as characterized by the pair correlation function ø(r). The latter is calculated by averaging over a long sequence of configurations generated in the stationary regime, using systems of size 50, 75, 100, 150, . . . , 700. The pair correlation function exhibits distinct behaviors in three diferent density ranges, which we term subcritical, critical, and supercritical. We show that in the subcritical regime, the particle distribution is characterized by a fractal dimension. We also analyze the decay of temporal correlations
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Propõe-se metodologia analítica para a determinação da demanda química de oxigênio(DQO) em águas e efluentes pouco poluídos, pela espectrofotometria simultânea dos íons crômio(III) e dicromato, após a clássica oxidação sulfocrômica das amostras, à quente e catalisada por íons Ag+. Demonstra-se que a inter-relação entre as concentrações de DQO, de crômio(III) formado e de dicromato residual permite simplificar a resolução numérica do sistema - de multicomponente, envolvendo as concentrações desses dois íons, e medidas de absorbância em pelo menos dois comprimentos de onda para monocomponente, envolvendo diretamente a concentração em DQO, e medida de absorbância num único comprimento de onda.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Oxigênio dissolvido (OD), demanda bioquímica do oxigênio (DBO) e demanda química do oxigênio (DQO) foram utilizados como parâmetros para se avaliar o grau e capacidade de autodepuração do ribeirão Lavapés, que atravessa a cidade de Botucatu - SP. Avaliou-se o perfil de poluição orgânica e identificadas as zonas de autodepuração, e pontualmente foi realizado uma coleta de 24 horas, de hora em hora, onde foi possível correlacionar a poluição orgânica com as atividades domésticas. A DQO mostrou-se como a melhor técnica para avaliar o perfil de poluição orgânica, identificar as zonas de depuração, e para avaliar a poluição orgânica, neste curso d água. A relação DQO/DBO foi em média 3,4 caracterizando um esgoto biodegradável, indicando que praticamente não existe adição de efluentes industriais, permitindo assim estimar a DBO através da DQO. Nos trechos de água limpa, nascente e foz, em que a DQO estava abaixo de 5 mg L-1 O2, foram utilizados os valores de oxigênio consumido (método do permanganato), o que não invalidou a identificação das zonas de depuração. No entanto pesquisas para desenvolver o método de DQO (dicromato) para baixas concentrações, abaixo de 5 mg L-1 são necessárias para uma melhor avaliação da recuperação do curso d água.
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The effects of several inspired oxygen fractions (FiO 2) on the respiratory dynamics in spontaneously breathing dogs submitted to continuous infusion of propofol were evaluated. Eight adult mongrel dogs were used. Each animal underwent five anesthesias, in each procedure the patient was allowed to breath a different FiO 2, thereby resulting in five groups, namely: G100 (FiO 2 = 1), G80 (FiO 2 = 0.8), G60 (FiO 2 =0.6), G40 (FiO 2 = 0.4), and G20 (FiO 2 = 0.21). To induce anesthesia, propofol was given until the animals allowed orotracheal intubation, followed by immediate continuous infusion of drug. The initial measurement (M0) was recorded thirty minutes after the infusion of propofol has begun. Additional recordings were performed at 15 minute intervals for 60 minutes (M15, M30, M45 and M60). Numeric data were submitted to Analysis of Variance followed by Tukey Test (p<0.05). We recorded significantly lower values of SpO 2 and SaO 2 at G20, whereas PaO 2 varied according to the changes in oxygen. Regarding PaCO 2, the mean of G100 was greater than G20 at M30. However, spontaneously breathing dogs anesthetized with propofol at the rate of 0.7mg/kg/min should not be provided with 100%, 80%, and 21% oxygen owing to the significant compromise of respiratory system.
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Documento en inglés (88754) y también en: Gurrieri, Adolfo, comp.: La obra de Prebisch en la CEPAL. México, DF, Fondo de Cultura Económica, 1982, Tomo I, p. 394-423, Lecturas, No 46, (11934), ingresados en Biblioteca
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Incluye Bibliografía
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Amitraz (AM) and romifidine (RMF), two alpha-2 adrenoceptor agonists, produce sedative effect and decrease spontaneous locomotor activity (SLA) of horses. The behavioral effects and sedation after intravenous injection of RMF (0.06mg/kg) or AM 0.1mg/kg (AM 0.1) or AM 0.4mg/kg (AM 0.4) were compared in horses. RMF caused head ptosis (HP) until 45 min. The lower AM dose induced HP from 45 to 60 minutes and from 120 to 150 minutes, and the higher dose induced HP until 180 minutes. Data concerning changes in SLA were not conclusive. RMF or AM 0.4 caused a greater sedation than AM 0.1 until 20 min. After 20 minutes, the sedation caused by AM 0.4 was greater than that of RMF or AM 0.1. Romifidine caused consistent sedation until 45 minutes. The amitraz emulsion produced a dosedependent sedation until 180 minutes. Comparing to romifidine, the emulsion of amitraz induced a more substantial sedation. At dosages and dilution applied, amitraz is an effective sedative for horses.
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This paper presents a methodology and a mathematical model to solve the expansion planning problem that takes into account the effect of contingencies in the planning stage, and considers the demand as a stochastic variable within a specified range. In this way, it is possible to find a solution that minimizes the investment costs guarantying reliability and minimizing future load shedding. The mathematical model of the expansion planning can be represented by a mixed integer nonlinear programming problem. To solve this problem a specialized Genetic Algorithm combined with Linear Programming was implemented.