Estimação da demanda de instalações elétricas de edificações com múltiplas unidades de consumo

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

Extração e Representação de Conhecimento de Séries Temporais de Demanda de Energia Elétrica Usando TSKR

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

Avaliação da disponibilidade hídrica e da demanda hídrica no trecho do Rio Piranhas-Açu entre os açudes Coremas-mãe D´água e Armando Ribeiro Gonçalves

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

Determinação da demanda química de oxigênio em águas por espectrofotometria simultânea dos íons crômio(III) e dicromato

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.

Oxigênio dissolvido (OD), demanda bioquímica de oxigênio (DBO) e demanda química de oxigênio (DQO) como parâmetros de poluição no ribeirão Lavapés/Botucatu - SP

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.

Estímulo de la demanda, las inversiones y la aceleración del ritmo de crecimiento

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

Oferta, demanda e intermediación laboral: aportes para la integración de jóvenes al mercado de trabajo salvadoreño

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Planeamiento de la expansión de sistemas de transmisión considerando contingencias y demanda incierta

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.

El incremento mundial en la demanda de etanol y la pobreza en Brasil

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El incremento mundial en la demanda de etanol y la pobreza en Brasil

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Escenarios futuros de políticas de vejez en República Dominicana: la persistente demanda por derechos básicos

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La dinámica de oferta y demanda de competencias en un sector basado en el conocimiento en Argentina

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Demanda de exportaciones e importaciones de bienes y servicios para Argentina y Chile

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Acceso a la vivienda y subsidios directos a la demanda: experiencias latinoamericanas

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