185 resultados para Biomass burning


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The objective of this work is to develop a non-stoichiometric equilibrium model to study parameter effects in the gasification process of a feedstock in downdraft gasifiers. The non-stoichiometric equilibrium model is also known as the Gibbs free energy minimization method. Four models were developed and tested. First a pure non-stoichiometric equilibrium model called M1 was developed; then the methane content was constrained by correlating experimental data and generating the model M2. A kinetic constraint that determines the apparent gasification rate was considered for model M3 and finally the two aforementioned constraints were implemented together in model M4. Models M2 and M4 showed to be the more accurate among the four developed models with mean RMS (root mean square error) values of 1.25 each.Also the gasification of Brazilian Pinus elliottii in a downdraft gasifier with air as gasification agent was studied. The input parameters considered were: (a) equivalence ratio (0.28-035); (b) moisture content (5-20%); (c) gasification time (30-120 min) and carbon conversion efficiency (80-100%). (C) 2014 Elsevier Ltd. All rights reserved.

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The aim of this work is to develop stoichiometric equilibrium models that permit the study of parameters effect in the gasification process of a particular feedstock. In total four models were tested in order to determine the syngas composition. One of these four models, called M2, was based on the theoretical equilibrium constants modified by two correction factors determined using published experimental data. The other two models, M3 and M4 were based in correlations, while model M4 was based in correlations to determine the equilibrium constants, model M3 was based in correlations that relate the H-2, CO and CO2 content on the synthesis gas. Model M2 proved to be the more accurate and versatile among these four models, and also showed better results than some previously published models. Also a case study for the gasification of a blend of hardwood chips and glycerol at 80% and 20% respectively, was performed considering equivalence ratios form 0.3 to 0.5, moisture contents from 0%-20% and oxygen percentages in the gasification agent of 100%, 60% and 21%. (C) 2013 Elsevier Ltd. All rights reserved.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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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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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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

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Pós-graduação em Química - IQ

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Fire is a common event in different ecosystems and can both be caused by humans or have natural sources.. In many of these ecosystems, natural fires are an important factor that determines the vegetation. The reduction of tree cover by fire for example, resulted in the evolution of several species-rich ecosystems, dominated by C4 grasses. However, the fire caused by human actions may have greater intensity and lead to negative responses of vegetation, since man changed the fire regime in many parts of the world, such as in the Cerrado. The passage of fire can benefit herbaceous and woody seedlings that cannot compete with the dominant grass layer. It removes the dead biomass and litter (major components of the fuel load), opening up spaces within the grass matrix that allow the establishment of other species. After some time without fire, an increase in shrub cover and decrease herbaceous layer can be observed. One of the major consequences of the absence of fire in savanna and grassland ecosystems is the accumulation of flammable dead biomass (mainly composed of graminoids), which will probably be the fuel load of the next burning thus, fires will be more intense and hotter. Moreover, very frequent burns lead to a reduction in the frequency and density of grasses. Therefore, this study aimed to assess the quantity and quality of biomass in areas with different fire history (fire exclusion for 2 and 7 years) in areas of campo sujo in central Cerrado. Plots (1x1m) were established in both areas and all aboveground biomass of each plot was cut at ground level and put in paper bags in the field. In the laboratory, the material was sorted into live and dead biomass. In addition, live biomass was separated into different functional groups (graminoids, forbs, Vellozia spp, palm and shrubs). The material was oven dried for two days at 80°C and subsequently weighed. In both areas, we found a dominance of graminoid and dead biomass. The area...

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The use of biomass as an energy source has been increasing in Brazil, with emphasis on the use of wood biomass, such as bark, wood chips and sawdust, that after receiving the appropriate treatment can be used in burners for power generation. However, from this burning are emitted fine particles known as particulate matter and a wide range of toxic organic and inorganic components in the form of gases that contribute greatly to air pollution and global warming, affecting human health, the environment and climate. The objective of this project was the quantification of gaseous and particulate, using and evaluating the equipment DR4000 ( Dataram 4 ) sampling of particulates smaller than 2.5μm and EUROTRON ( Ecoline 4000 ) when sampling gaseous pollutants, emitted from the burning of biomass in real time in the firing burner to a chimney attached biomass . We note that there are no specific rules that establish emission limits for particulate matter with diameter less than 2.5μm that are most harmful to human health and the highest concentrations reached about 800000μg/m3, for smaller diameters. It is noticeable the need for sampling of pollutants especially in industries that use biomass to fuel that could be implanted emission control equipment