986 resultados para Joint biofuels production system
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Studies with organic systems have shown the feasibility and ecological and social sustainability of these agroecosystems, unlike the systems agrochemicals (conventional) production. Some studies have concluded that for the model agrochemical exists less interaction between the flow of internal energy, basically the crop receives all inputs to production with no increase in "energy quality" within the system, while in the organic model of production has increased interaction between different resources in the system. The current economic and ecological crisis, exposed no sustainability of the production pattern of industrialized agriculture developed in a way, showing the dependence of developed countries on imports of agricultural commodities produced in the third world, among there coffee. Given these facts, developed a survey to identify problems in the Alta Paulista region, west of São Paulo State, in relation to coffee production systems. Actually, the fundamental problem, according to the research, farmers in this region, is to choose a viable production system correctly (environmental, social and economic); agrochemical or organic. The objectives of this study were to analyze the yield of production systems and agro-chemical and organic coffee in the period from 2003 to 2007, in 30 producing properties, located in this region, in order to point the production system to produce the highest yield. According to the methodology of CONAB, data collected were recorded on spreadsheets to be used as variables in statistical analysis models and mathematics. We performed a descriptive analysis of productivity data and were used for statistical analysis tests for parametric and nonparametric analysis of variance. The mathematical analyses of the curves were prepared with Origin for Windows 6.0 software, which uses numerical methods to fit the data supplied to a function of variable parameters. Unlike conventional systems of production, the organic system showed greater viability of the production model. Furthermore, with the quantitative modeling proposal, it is possible to perform the evaluation of these types of investments, providing more security to the farmer at the time of decision.
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The energy analysis development in this study contributes to the understanding of the dynamics of the organic coffee productive system, in particular to assess the independence of this system with respect to the use of industrialized input products. Thus, it provides information about the sustainability of that production system. Technical itineraries used in this study consist of energy expenditure made with coffee cultivation, according to the type, source and form of energy inputs, agricultural machines, equipment and labor force used in that production system. The energy expenditure, converted into energy units, quantified the input energy. And the organic coffee production, measured in kilograms of processed coffee beans, was the output energy. Primary data used in this study were obtained from organic coffee producers in the Southern region of Minas Gerais State, Brazil, in 2011. Energy balance identified was positive, since the estimated output energy was 626.465 MJ/ha and the energy expenditure was 112.998 MJ/ha, during the useful life of the crop.
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The study evaluated the energy balance of the yellow passion fruit (Passiflora edulis Sims) production system in the region of Marilia-SP. There were analyzed the "inputs" of energy originated from biological, fossil, and industrial sources, and the "output" of energy in the form of fruits produced per unit area, as well as five energy indicators. The phytotechnical indices considered were: planting in February (seedling in tubes), production cycle: 18 months, and yield: 20 t/ha. The input energy totaled 173,707.86 MJ/ha. The most representative items corresponded to industrial indirect energy (38%) and to biological (34%). Chemical fertilizers and pesticides accounted for 65% and 31% of indirect energy industry, respectively. The activity generated 391,800.00 MJ per cycle/ha, and the culture productivity, 0.12 MJ/kg. The efficiency of the culture was 2.26. The net cultural energy totaled 218,092.15 MJ/ha. The energy balance was positive (126,050.23 MJ/ha). Energy efficiency was favorable, with a value of 3.64. The direct power consumption of fossil origin is significant in the system evaluated, but it still allows the production of the yellow passion fruit in an environmentally sustainable way.
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Aimed at satisfying a market niche, organic coffee production is a competitiveness-oriented system because it has less input costs and higher income. This study estimates the system’s economic efficiency, using production costs end gross income as economic input and output. This model was designed from original survey data, reported by a sample of producers in different stages of production, which enabled the development of average technical coefficients. Results show that annual gross income exceeds operating costs by 21%, pointing therefore to an economically efficient system.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Agronomia - FEIS
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Pós-graduação em Engenharia de Produção - FEG
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Pós-graduação em Agronomia - FEIS
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The current competitive market requires companies to adapt so that they can meet the needs of customers in an agile manner and aimed at the lowest possible cost in their manufacture, be it a product or service. The Toyota Production System is aimed at higher profits through lean manufacturing practices with reduced spending, smaller lots and inventories, generated by market demand. The variety of products makes the setup of the equipment a critical point and it should be reduced as much as possible so it does not affect productivity. The rapid exchange of tools allows with few actions and a modification that time does not exceed one digit on your total time. In this study, a case study showed that only with standardization and use of cheap improvements made it possible to reduce setup time in bottle labeling machine by 98 minutes for a final time of approximately 10 minutes with little investment, demonstrating the feasibility the displayed and a monthly gain tool in bottles at approximately 120,000, generating a performance gain and budget of approximately R$ 94,000.00 per month
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The pharmaceutical industry was consolidated in Brazil in the 1930s, and since then has become increasingly competitive. Therefore the implementation of the Toyota Production System, which aims to lean production, has become common among companies in the segment. The main efficiency indicator currently used is the Overall Equipment Effectiveness (OEE). This paper intends to, using the fuzzy model DEA-BCC, analyze the efficiency of the production lines of a pharmaceutical company in the Paraíba Valley, compare the values obtained by the model with those calculated by the OEE, identify the most sensitive machines to variation in the data input and develop a ranking of effectiveness between the consumer machinery. After the development, it is shown that the accuracy of the relationship between the two methods is approximately 57% and the line considered the most effective by the Toyota Production System is not the same as the one found by this paper
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The current competitive market requires companies to adapt so that they can meet the needs of customers in an agile manner and aimed at the lowest possible cost in their manufacture, be it a product or service. The Toyota Production System is aimed at higher profits through lean manufacturing practices with reduced spending, smaller lots and inventories, generated by market demand. The variety of products makes the setup of the equipment a critical point and it should be reduced as much as possible so it does not affect productivity. The rapid exchange of tools allows with few actions and a modification that time does not exceed one digit on your total time. In this study, a case study showed that only with standardization and use of cheap improvements made it possible to reduce setup time in bottle labeling machine by 98 minutes for a final time of approximately 10 minutes with little investment, demonstrating the feasibility the displayed and a monthly gain tool in bottles at approximately 120,000, generating a performance gain and budget of approximately R$ 94,000.00 per month
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The pharmaceutical industry was consolidated in Brazil in the 1930s, and since then has become increasingly competitive. Therefore the implementation of the Toyota Production System, which aims to lean production, has become common among companies in the segment. The main efficiency indicator currently used is the Overall Equipment Effectiveness (OEE). This paper intends to, using the fuzzy model DEA-BCC, analyze the efficiency of the production lines of a pharmaceutical company in the Paraíba Valley, compare the values obtained by the model with those calculated by the OEE, identify the most sensitive machines to variation in the data input and develop a ranking of effectiveness between the consumer machinery. After the development, it is shown that the accuracy of the relationship between the two methods is approximately 57% and the line considered the most effective by the Toyota Production System is not the same as the one found by this paper
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Sugarcane is an important sugar and energy crop that can be used efficiently for biofuels production. The development of sugarcane cultivars tolerant to drought could allow for the expansion of plantations to sub-prime regions. Knowledge on the mechanisms underlying drought responses and its relationship with carbon partition would greatly help to define routes to increase yield. In this work we studied sugarcane responses to drought using a custom designed oligonucleotide array with 21,901 different probes. The oligoarrays were designed to contain probes that detect transcription in both sense and antisense orientation. We validated the results obtained using quantitative real-time PCR (qPCR). A total of 987 genes were differentially expressed in at least one sample of sugarcane plants submitted to drought for 24, 72 and 120 h. Among them, 928 were sense transcripts and 59 were antisense transcripts. Genes related to Carbohydrate Metabolism, RNA Metabolism and Signal Transduction were selected for gene expression validation by qPCR that indicated a validation percentage of 90 %. From the probes presented on the array, 75 % of the sense probes and 11.9 % of the antisense probes have signal above background and can be classified as expressed sequences. Our custom sugarcane oligonucleotide array provides sensitivity and good coverage of sugarcane transcripts for the identification of a representative proportion of natural antisense transcripts (NATs) and sense-antisense transcript pairs (SATs). The antisense transcriptome showed, in most cases, co-expression with respective sense transcripts.
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Nitrogen management has been intensively studied on several crops and recently associated with variable rate on-the-go application based on crop sensors. Such studies are scarce for sugarcane and as a biofuel crop the energy input matters, seeking high positive energy balance production and low carbon emission on the whole production system. This article presents the procedure and shows the first results obtained using a nitrogen and biomass sensor (N-Sensor (TM) ALS, Yara International ASA) to indicate the nitrogen application demands of commercial sugarcane fields. Eight commercial fields from one sugar mill in the state of Sao Paulo, Brazil, varying from 15 to 25 ha in size, were monitored. Conditions varied from sandy to heavy soils and the previous harvesting occurred in May and October 2009, including first, second, and third ratoon stages. Each field was scanned with the sensor three times during the season (at 0.2, 0.4, and 0.6 m stem height), followed by tissue sampling for biomass and nitrogen uptake at ten spots inside the area, guided by the different values shown by the sensor. The results showed a high correlation between sensor values and sugarcane biomass and nitrogen uptake, thereby supporting the potential use of this technology to develop algorithms to manage variable rate application of nitrogen for sugarcane.