830 resultados para Global sensitivity analysis


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O objetivo deste estudo é avaliar, por meio de um modelo de equilíbrio geral computável, multi-setorial e multi-regional, os impactos de uma redução das tarifas dos bens não agrícolas sobre a economia brasileira, a partir da Fórmula Suíça, com diferentes coeficientes. O modelo de equilíbrio geral utilizado é o Global Trade Analysis Project (GTAP) e os cortes de tarifas foram estimados a partir de dados do MAcMap. Além dos impactos macroeconômicos e setoriais, testou-se a sensibilidade do modelo ao aumento das elasticidades de Armington e à implementação de liberalização tarifária agrícola.

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Este artigo analisa a importância dos atrasos portuários para a competitividade da indústria de transformação no Brasil. Com base em estimativas recentes sobre o custo diário dos atrasos comerciais e em bases de dados do Banco Mundial e do GTAP (Global Trade Analysis Project), revela a magnitude destas barreiras sob a forma de seus equivalentes ad valorem. Em seguida, por meio de simulações em equilíbrio geral, estima o impacto da melhoria dos processos aduaneiros sobre o desempenho da indústria de transformação no Brasil, sob diferentes cenários. Os resultados obtidos ressaltam o caráter estratégico da facilitação do comércio para o Brasil e da sua inclusão como item relevante para a agenda de crescimento de longo prazo do país.

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Este trabalho tem como proposta avaliar os impactos de médio e longo prazo da remoção da política de incentivo à produção de açúcar de beterraba na União Europeia (UE) sobre o mercado deste bem, assim como permitirá verificar se algumas conclusões de estudos realizados em 2013 sobre o futuro do mercado de açúcar da UE pós-2017 ainda estão válidas, uma vez que os preços e margens nesse mercado mudaram consideravelmente desde então. Para a análise em questão, utiliza-se uma versão do modelo econômico global GTAP – Global Trade Analysis Project, conhecido como GTAPinGAMS, e assume-se que a diferença entre o custo de produção e o preço mínimo europeu representa uma boa proxy para o desvio de preço ocasionado pela imposição da quota em relação ao preço de equilíbrio que seria observado em cada país da UE se a quota não existisse. A partir dos resultados obtidos por este trabalho é possível afirmar que a abolição das cotas de produção não afetará negativamente a UE. Haverá um aumento de produção de açúcar no bloco, tanto por aumento de produção de beterraba quanto por aumento na eficiência industrial. Os países com menor custo de produção suprirão as reduções sofridas nos países não competitivos e suprirão a necessidade do produto pela UE, uma vez que a reforma não inclui maior abertura comercial para países de fora do bloco. A isoglucose, principal produto substituto do açúcar na indústria alimentícia, terá um aumento de produção nos países com indústrias já instaladas, dado o aumento do consumo de grãos nestes países pela indústria produtora de açúcar. Os países que fazem comercialização com o grupo econômico também serão afetados, mas em menor grau, graças à manutenção das cotas preferenciais de importação.

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As mudanças climáticas irão impactar as produções agrícolas de maneiras distintas em cada região do mundo. Os impactos sobre culturas açucareiras (cana-de-açúcar e beterraba açucareira) provocarão mudanças na oferta de açúcar com consequentes mudanças econômicas nos países produtores. Para compreender efeitos dos choques de produtividade no setor sucroenergético e na economia brasileira (PIB e bem-estar) realizou-se uma revisão da literatura sobre os impactos previstos nestas culturas para cenários de mudanças climáticas. Levantaram-se 21 trabalhos, divididos em 10 regiões do mundo de acordo com seus padrões de produção e consumo, que permitiram estabelecer três cenários de choques em produtividade, mínimo, médio e máximo, para cada região. Levantaram-se também choques de produtividade mínimos e máximos para as grandes culturas (trigo, milho, arroz e soja) com base em trabalhos divulgados pelo IPCC (Intergovernmental Panel on Climate Change). Para traduzir os choques de produtividade em retornos econômicos, foram simulados em um modelo econômico os três cenários de choques em produtividade sobre as culturas açucareiras, e outros seis cenários combinando tais choques aos choques em produtividade sobre as grandes culturas. O modelo econômico de equilíbrio geral computável GTAP (Global Trade Analysis Project) foi utilizado, considerando o ano base de 2011, para analisar os efeitos sobre o setor sucroenergético e sobre a economia brasileira. Observou-se que as mudanças climáticas tendem a promover ganhos de produtividade nas culturas açucareiras e na produção de açúcar de diversas regiões do globo. No caso do Brasil, os cenários de choques de produtividade sobre as grandes culturas e culturas açucareiras em conjunto promoveram ganhos de PIB e bem-estar pouco superiores aos cenários de choques somente nas culturas açucareiras. Os resultados sugerem que as mudanças climáticas pouco influenciarão os setores de cana-de-açúcar e açúcar do Brasil. A participação destes setores no PIB é pequena de forma que as variações que promoverão para o PIB e bem-estar brasileiro serão modestas, embora positivas. Para futuros trabalhos sugere-se a incorporação de novas culturas e da pecuária aos cenários, estudos mais regionalizados sobre os impactos do clima futuro nas produtividades agrícolas, e a adoção de modelos econômicos dinâmicos nas análises de cenários de choques de produtividade.

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Este artigo analisa a importância dos atrasos portuários para a competitividade da indústria de transformação no Brasil. Com base em estimativas recentes sobre o custo diário dos atrasos comerciais e em bases de dados do Banco Mundial e do GTAP (Global Trade Analysis Project), revela a magnitude destas barreiras sob a forma de seus equivalentes ad valorem. Em seguida, por meio de simulações em equilíbrio geral, estima o impacto da melhoria dos processos aduaneiros sobre o desempenho da indústria de transformação no Brasil, sob diferentes cenários. Os resultados obtidos ressaltam o caráter estratégico da facilitação do comércio para o Brasil e da sua inclusão como item relevante para a agenda de crescimento de longo prazo do país

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Electrical resistive heating (ERH) is a thermal method used to improve oil recovery. It can increase oil rate and oil recovery due to temperature increase caused by electrical current passage through oil zone. ERH has some advantage compared with well-known thermal methods such as continuous steam flood, presenting low-water production. This method can be applied to reservoirs with different characteristics and initial reservoir conditions. Commercial software was used to test several cases using a semi-synthetic homogeneous reservoir with some characteristics as found in northeast Brazilian basins. It was realized a sensitivity analysis of some reservoir parameters, such as: oil zone, aquifer presence, gas cap presence and oil saturation on oil recovery and energy consumption. Then it was tested several cases studying the electrical variables considered more important in the process, such as: voltage, electrical configurations and electrodes positions. Energy optimization by electrodes voltage levels changes and electrical settings modify the intensity and the electrical current distribution in oil zone and, consequently, their influences in reservoir temperature reached at some regions. Results show which reservoir parameters were significant in order to improve oil recovery and energy requirement in for each reservoir. Most significant parameters on oil recovery and electrical energy delivered were oil thickness, presence of aquifer, presence of gas cap, voltage, electrical configuration and electrodes positions. Factors such as: connate water, water salinity and relative permeability to water at irreducible oil saturation had low influence on oil recovery but had some influence in energy requirements. It was possible to optimize energy consumption and oil recovery by electrical variables. Energy requirements can decrease by changing electrodes voltages during the process. This application can be extended to heavy oil reservoirs of high depth, such as offshore fields, where nowadays it is not applicable any conventional thermal process such as steam flooding

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Water injection is the most widely used method for supplementary recovery in many oil fields due to various reasons, like the fact that water is an effective displacing agent of low viscosity oils, the water injection projects are relatively simple to establish and the water availability at a relatively low cost. For design of water injection projects is necessary to do reservoir studies in order to define the various parameters needed to increase the effectiveness of the method. For this kind of study can be used several mathematical models classified into two general categories: analytical or numerical. The present work aims to do a comparative analysis between the results presented by flow lines simulator and conventional finite differences simulator; both types of simulators are based on numerical methods designed to model light oil reservoirs subjected to water injection. Therefore, it was defined two reservoir models: the first one was a heterogeneous model whose petrophysical properties vary along the reservoir and the other one was created using average petrophysical properties obtained from the first model. Comparisons were done considering that the results of these two models were always in the same operational conditions. Then some rock and fluid parameters have been changed in both models and again the results were compared. From the factorial design, that was done to study the sensitivity analysis of reservoir parameters, a few cases were chosen to study the role of water injection rate and the vertical position of wells perforations in production forecast. It was observed that the results from the two simulators are quite similar in most of the cases; differences were found only in those cases where there was an increase in gas solubility ratio of the model. Thus, it was concluded that in flow simulation of reservoirs analogous of those now studied, mainly when the gas solubility ratio is low, the conventional finite differences simulator may be replaced by flow lines simulator the production forecast is compatible but the computational processing time is lower.

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Nearly 3 x 1011 m3 of medium and light oils will remain in reservoirs worldwide after conventional recovery methods have been exhausted and much of this volume would be recovered by Enhanced Oil Recovery (EOR) methods. The in-situ combustion (ISC) is an EOR method in which an oxygen-containing gas is injected into a reservoir where it reacts with the crude oil to create a high-temperature combustion front that is propagated through the reservoir. The High Pressure Air Injection (HPAI) method is a particular denomination of the air injection process applied in light oil reservoirs, for which the combustion reactions are dominant between 150 and 300°C and the generation of flue gas is the main factor to the oil displacement. A simulation model of a homogeneous reservoir was built to study, which was initially undergone to primary production, for 3 years, next by a waterflooding process for 21 more years. At this point, with the mature condition established into the reservoir, three variations of this model were selected, according to the recovery factors (RF) reached, for study the in-situ combustion (HPAI) technique. Next to this, a sensitivity analysis on the RF of characteristic operational parameters of the method was carried out: air injection rate per well, oxygen concentration into the injected gas, patterns of air injection and wells perforations configuration. This analysis, for 10 more years of production time, was performed with assistance of the central composite design. The reservoir behavior and the impacts of chemical reactions parameters and of reservoir particularities on the RF were also evaluated. An economic analysis and a study to maximize the RF of the process were also carried out. The simulation runs were performed in the simulator of thermal processes in reservoirs STARS (Steam, Thermal, and Advanced Processes Reservoir Simulator) from CMG (Computer Modelling Group). The results showed the incremental RF were small and the net present value (NPV) is affected by high initial investments to compress the air. It was noticed that the adoption of high oxygen concentration into the injected gas and of the five spot pattern tends to improve the RF, and the wells perforations configuration has more influence with the increase of the oil thickness. Simulated cases relating to the reservoir particularities showed that smaller residual oil saturations to gas lead to greater RF and the presence of heterogeneities results in important variations on the RF and on the production curves

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The objective of this work was to evaluate the effect of the variables number of recipients, synchronization protocol, reproductive efficiency indicators and pregnancy cost, in the economic effectiveness of in vivo and in vitro bovine embryo production. A simulation application was elaborated to allow the user to insert the input variable parameters. A basic scenario, from the efficiency traditional rates of in vivo (ET) and in vitro production (IVP) techniques of bovine embryos, was introduced in the software as a criterion to compare the results. This software was able to reproduce both ET and IVP scenarios. The embryo production was simulated through stochastic simulation. The optimal number of recipients using sensitivity analysis was determined. The net present value and cost per pregnancy were used as a decision parameter. The synchronization for fixed-time embryo transfer decreased the recipient idleness and, consequently, the final cost of pregnancy, in comparison to the traditional methodology. Foetal sexing must be associated to IVP of bovine embryos. In addition, the optimal recipient number per donor is variable and depends on data inserted in the system.

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The objective of this dissertation is to propose a Multi Criteria Decision Aid Model to be used by the costumers of the travel agencies and help them to choose the best package travel. The main objective is to contribute for the simplification of the travel package decision choice from the identification of the models of values and preference of the customers and applying them to the existing package. It is used the Analytic Hierarchy Process (AHP) method to structuralize a decision hierarchic model composed by six criteria (package cost, hotel category, security of the city, travel time, direct flight and position in ranking of the 10 most visited destination) and five real alternatives of packages for a holiday of three days created from travel agency data. The decision analysis was realized for the choice of a travel package by a group composed by two couples that regularly travels together, to which was asked to do a pairwise judgment of the criteria and the alternatives. The mains results show that, although been a group that travels together, there are different models of values in the weights of the criteria and a certain convergence in the scales of preferences of the alternatives in the criteria. It was not pointed a dominant alternative for all the members of the group separately, but an analysis of a total utility of the group shows a classification and an order of the travel packages and an alternative clearly in front of the others. The sensitivity analysis revels that there are changes in the ranking, but the two alternatives best classified in the normal analysis are the same ones in the sensitivity analysis, although with the positions changed. The analysis also led to a simplification of the process with the exclusion of alternatives dominated for the others ones. As main conclusion, it is evaluated that the model and method suggested allow a simplification of the decision process in the choice of travel packages

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The portfolio theory is a field of study devoted to investigate the decision-making by investors of resources. The purpose of this process is to reduce risk through diversification and thus guarantee a return. Nevertheless, the classical Mean-Variance has been criticized regarding its parameters and it is observed that the use of variance and covariance has sensitivity to the market and parameter estimation. In order to reduce the estimation errors, the Bayesian models have more flexibility in modeling, capable of insert quantitative and qualitative parameters about the behavior of the market as a way of reducing errors. Observing this, the present study aimed to formulate a new matrix model using Bayesian inference as a way to replace the covariance in the MV model, called MCB - Covariance Bayesian model. To evaluate the model, some hypotheses were analyzed using the method ex post facto and sensitivity analysis. The benchmarks used as reference were: (1) the classical Mean Variance, (2) the Bovespa index's market, and (3) in addition 94 investment funds. The returns earned during the period May 2002 to December 2009 demonstrated the superiority of MCB in relation to the classical model MV and the Bovespa Index, but taking a little more diversifiable risk that the MV. The robust analysis of the model, considering the time horizon, found returns near the Bovespa index, taking less risk than the market. Finally, in relation to the index of Mao, the model showed satisfactory, return and risk, especially in longer maturities. Some considerations were made, as well as suggestions for further work

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A importância econômica de possíveis características biológicas a serem incluídas em objetivos de seleção para diferentes sistemas de produção de bovinos da raça Nelore, mediante o cálculo dos seus valores econômicos foi avaliada nesta pesquisa. Com base em informações de desempenho e parâmetros biológicos e econômicos, foram simulados diferentes sistemas de produção (ciclos de cria e completo) para dois rebanhos. O rebanho 1, com ciclo de cria (Ccr), ciclo completo (Cco) e ciclo completo com venda de reprodutores (CcoR), é um rebanho elite no qual é desenvolvido um programa seleção. Parte deste rebanho é também destinada à produção de animais comerciais. O rebanho 2 é um rebanho exclusivamente comercial, com Ccr e Cco. Os valores econômicos foram calculados usando-se um modelo bio-econômico, para as seguintes características: peso (PD) e taxa de desmama (TD), peso da vaca adulta (PVA), ganho médio diário no confinamento (GMD), pesos ao abate (PA) e de carcaça (PC), peso final dos tourinhos (PFT), rendimento de carcaça (RC) e consumo alimentar no confinamento (CAc) e em pastagem (CAp). Para os sistemas de ciclo completo e de ciclo completo com venda de reprodutores e CcoR (Cco e CcoR), os valores econômicos variaram de R$ 0,34 a R$ 0,40 para PD, R$ 3,51 a R$ 10,15 para TD, -R$ 0,16 a R$ 0,09 para PAV, R$ 0,32 a R$ 0,76 para GMDc, R$ 1,09 a R$ 1,17 para PA; R$ 2,03 a R$ 2,19 para PC, R$ 23,89 a R$ 28,61 para RC, e R$ 11,85 para PFT, - R$0,45 para CAc e - R$ 0,03 para CAp. A taxa de desmama e o rendimento de carcaça foram as características de maior impacto no lucro anual dos dois rebanhos. As análises de sensibilidade demonstraram que, de modo geral, possíveis mudanças nos preços de insumos e produtos influenciariam de forma mais significativa os valores econômicos nos sistemas de produção nos quais esses preços eram mais elevados nas situações básicas.

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This work presents an optimization technique based on structural topology optimization methods, TOM, designed to solve problems of thermoelasticity 3D. The presented approach is based on the adjoint method of sensitivity analysis unified design and is intended to loosely coupled thermomechanical problems. The technique makes use of analytical expressions of sensitivities, enabling a reduction in the computational cost through the use of a coupled field adjoint equation, defined in terms the of temperature and displacement fields. The TOM used is based on the material aproach. Thus, to make the domain is composed of a continuous distribution of material, enabling the use of classical models in nonlinear programming optimization problem, the microstructure is considered as a porous medium and its constitutive equation is a function only of the homogenized relative density of the material. In this approach, the actual properties of materials with intermediate densities are penalized based on an artificial microstructure model based on the SIMP (Solid Isotropic Material with Penalty). To circumvent problems chessboard and reduce dependence on layout in relation to the final optimal initial mesh, caused by problems of numerical instability, restrictions on components of the gradient of relative densities were applied. The optimization problem is solved by applying the augmented Lagrangian method, the solution being obtained by applying the finite element method of Galerkin, the process of approximation using the finite element Tetra4. This element has the ability to interpolate both the relative density and the displacement components and temperature. As for the definition of the problem, the heat load is assumed in steady state, i.e., the effects of conduction and convection of heat does not vary with time. The mechanical load is assumed static and distributed

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The management of water resources in the river basin level, as it defines the Law nº 9433/97, requires the effective knowledge of the processes of hydrological basin, resulting from studies based on consistent series of hydrological data that reflect the characteristics of the basin. In this context, the objective of this work was to develop the modeling of catchment basin of the river Jundiaí - RN and carry out the study of attenuation of a flood of the dam Tabatinga, by means of a monitoring project of hydrological data and climatology of the basin, with a view to promoting the development of research activities by applying methodologies unified and appropriate for the assessment of hydrological studies in the transition region of the semiarid and the forest zone on the coast of Rio Grande do Norte. For the study of the hydrological characteristics of the basin was conducted the automatic design of the basin of the river Jundiaí, with the aid of programs of geoprocessing, was adopted a hydrological model daily, the NRCS, which is a model determined and concentrated. For the use of this model was necessary to determine some parameters that are used in this model, as the Curve Number. Having in mind that this is the first study that is being conducted in the basin with the employment of this model, it was made sensitivity analysis of the results of this model from the adoption of different values of CN, situated within a range appropriate to the conditions of use, occupation and the nature of the soil of this basin. As the objective of this study was also developing a simulation model of the operation of the Tabatinga dam and with this flood control caused in the city of Macaíba, it was developed a mathematical model of fluid balance, developed to be used in Microsoft Excel. The simulation was conducted in two phases: the first step was promoted the water balance daily that allowed the analysis of the sensitivity of the model in relation to the volume of waiting, as well as the determination of the period of greatest discharges daily averages. From this point, it was assumed for the second stage, which was in the determination of the hydrograph of discharges effluent slots, that was determined by means of the fluid balance time, on the basis of the discharges effluents generated by a mathematical equation whose parameters were adjusted according to the hydrograph daily. Through the analyzes it was realized that the dam Tabatinga only has how to carry out the attenuation of floods through the regularization of the volume of waiting, with this there is a loss of approximately 56.5% on storage capacity of this dam, because for causing the attenuation effect of filled the shell of this dam has to remain more than 5m below the level of the sill, representing at least 50.582.927m3. The results obtained with the modeling represents a first step in the direction of improving the level of hydrological information about the behavior of the basins of the semiarid. In order to monitor quantitatively the hydrographic basin of the river Jundiaí will be necessary to install a rain gauge register, next to the Tabatinga dam and a pressure transducer, for regular measurements of flow in the reservoir of the dam. The climatological data will be collected in full automatic weather station installed in Agricultural School Jundiaí

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)