931 resultados para Matriz energética


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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Ciências da Motricidade - IBRC

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Background: The principles of tissue regeneration to repair alveolar bone defects are based on the fabrication of a biologic barrier with different biomaterials. Therefore, the present study aimed to investigate the guided bone regeneration (GBR) by using membrane of demineralized bovine bone matrix (DBBM) on experimental defects in tibia of dogs. Methods: Four dogs were used and after anesthesia, shaving and antisepsis, two standardized bone defects were created on the right tibia of each animal with trephine drill. In the Control Group, the defects were filled with blood coagulum, while in the Treated Group, a membrane of DBBM was used to cover the defects. After 90 days, animals were sacrificed. Results: In the Treated Group, 67.4% of new bone formation was observed and, in the Control Group, 32.6% of the bone tissue reabsorbed when compared with initial bone volume. The membrane remained intact and no inflammatory tissue was observed on membrane/ bone interface. Conclusion: It was concluded that the use of DBBM is an osteoconductive material, presents biocompatibility and may be promise option to repair bone defects.

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Pós-graduação em Ciências Biológicas (Zoologia) - IBRC

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The objective of this work was the analysis of the energetic ethanol production systems using as source of carbohydrates, manioc, sugar cane and maize crops. The searches were carried from the field in the Paranapanema River Valley, state of Sao Paulo in the operations of cultivation and industrial processing of raw materials for analysis. The expenditure of energy concerning the agricultural part was made by the energy consumption of stage production of one hectare of sugar cane, cassava and corn, tillage and planting procedure, inputs, driving the crop, harvest, transport industry and energy draining. The expenditure of energy referring to the part was made by the industry energy consumption of stage processing of one tonne of sugar cane, cassava and corn, in the operations of disintegration / milling, hydrolysis / treatment of the broth, fermentation, distillation and maintenance of equipment. Under the system of agronomic production of raw materials, manioc presented an energy expenditure below that of sugar cane and maize (9,528.33 MJ ha-1; 14,370.90 MJ ha-1 and 15,633.83 MJ ha-1, respectively). For the ethanol produced, the operations of cultivation has consumed 1.54 MJ l-1 with manioc; MJ 1.99 l-1 with sugar cane, and 7.9 MJ l-1 with the corn. In the industrial processing of a ton of raw material, sugar cane presented an energy cost less than the cassava and maize (1,641.56 MJ t-1; 2,208.28 MJ t-1 and MJ 3,882.39 t-1, Respectively), however, showed a higher cost than when they related to ethanol produced (19.38 MJ l-1; 11.76 MJ l-1 and 11.76 MJ l-1, respectively). In the final energy balance for each megajoules of energy invested in sugar cane were required 1.09 MJ (9%), for each megajoules of energy invested in manioc were required 1.76 MJ (76%) and for each megajoules energy invested in maize were required 1.19 MJ (19%). Overall, it appears that the manioc consumes less energy than sugar cane and corn crops in the process of agribusiness obtaining ethanol.

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This research leads to a meta-analysis of scientific production in energy efficiency in industrial sectors, recorded in ten (10) leading journals in Administration and Engineering Production in Brazil, between 2001 and 2011. To this end, this scholarship was examined based on the following parameters: a) the total contribution and journal articles, b) methods used in studies, and c) the theoretical gaps to exploit. The diagnosis is that one infers: academic work in energy efficiency industries accounted for only twenty-nine (29) published articles, and only eight (8) have energy efficiency as a central theme of the work. Although the results still showed a rising trend in the number of publications since the last five (5) years analyzed showed 65.5% of all published files relating to energy efficiency. It contributes, therefore, the systematization of the academic production in the area of energy efficiency and business subsidies are provided for this field of research in Brazil.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The objective of this work is to determine the membership functions for the construction of a fuzzy controller to evaluate the energy situation of the company with respect to load and power factors. The energy assessment of a company is performed by technicians and experts based on the indices of load and power factors, and analysis of the machines used in production processes. This assessment is conducted periodically to detect whether the procedures performed by employees in relation to how of use electricity energy are correct. With a fuzzy controller, this performed can be done by machines. The construction of a fuzzy controller is initially characterized by the definition of input and output variables, and their associated membership functions. We also need to define a method of inference and a processor output. Finally, you need the help of technicians and experts to build a rule base, consisting of answers that provide these professionals in function of characteristics of the input variables. The controller proposed in this paper has as input variables load and power factors, and output the company situation. Their membership functions representing fuzzy sets called by linguistic qualities, as “VERY BAD” and “GOOD”. With the method of inference Mandani and the processor to exit from the Center of Area chosen, the structure of a fuzzy controller is established, simply by the choice by technicians and experts of the field energy to determine a set of rules appropriate for the chosen company. Thus, the interpretation of load and power factors by software comes to meeting the need of creating a single index that indicates an overall basis (rational and efficient) as the energy is being used.

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The present study aimed to analyze indicators of energy efficiency and economic production of piglets from family farmers in Paraná. We sought to determine possible differences in energy efficiencies and economic producers who manufactured rations on their property and those who bought rations Cooperative. The sample was obtained by accessibility (six producers who manufactured and six who bought rations) and not probabilistic, and the raw data were transformed into energy and economic units, and processed in electronic spreadsheets. The two production systems of piglets in the nursery phase, family farming, showed negative energy balance, with energy inputs higher than outputs. The two systems of rearing piglets showed no differences in energy efficiency, ie, they were not self-sufficient and needed to import energy sources from other systems. The indicators of economic efficiency of producers who buy rations as those who produce them in their properties were less than unity. Thus, most producers did not generate enough revenue to pay the costs in the short term and lost money.

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This study aimed to analyze the energy efficiency ratings and cost of farming families producing milk in the city of Pardinho (SP). The hypothesis that guides the study is that energy expenditure may be coincident with the economic expenditure showing that there is a relationship between these flows, which can be sustainable or not. To better define the producers studied criteria were used in the official system of rural credit FEAP. Through primary data obtained by the speeches, the itineraries were reconstituted technical detailing the operations employed. Thus, we found two producers with different technical routes. The producer was the one who got one of the highest efficiencies 8.66 and 1.48 respectively. Related to the efficiency, we can see that are close related and when there is a broader idea of the allocation of energy resources and, thus, a better view of the sustainability of the agro ecosystem.