Navegando por Palavras-chave "Análise De Sensibilidade"

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    Estudo computacional do refino do óleo de xisto: análise das variáveis do processo
    (Universidade Federal de São Paulo (UNIFESP), 2020-08-21) Marchioli, Willian Alberto Amaro [UNIFESP]; Concha, Viktor Oswaldo Cárdenas [UNIFESP]; Universidade Federal de São Paulo
    In a world of uncertainty and energy dependence, the search for alternative sources to oil is constant. Oil shale reserves are plentiful and available worldwide. Fuel oil can be extracted from shale, which can be used as a substitute for diesel or kerosene, or can be refined to obtain lighter oils and chemical specialties. The main routes for processing shale oil practiced on an industrial scale are distillation and cracking, processes that have operational limitations due to the physical properties of the oil. Within these routes, sensitivity analysis can be applied to identify the main parameters that affect the process output. This work proposes the use of data mining as a tool for sensitivity analysis automatically. The values used in the data mining stage were taken from the process simulation using the Aspen Plus® software. Using automatic learning methods such as regression tree and linear regression implemented on KNIME software, it was possible to obtain interpretable models that present the order of importance of the parameters of a shale refinement plant at the naphtha stream in output of the process. The contribution of each parameter was validated with the regression coefficients and the branch nodes of regression tree, which indicated that pressure and flow of vapor stream in pre-flash are the most sensible parameters, and it was possible to find the configuration that maximazed the naphta output of the process.
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    Estudo das variáveis de projeto de colunas de destilação para purificação de Trietilenoglicol de elevada pureza utilizando técnicas de simulação computacional
    (Universidade Federal de São Paulo (UNIFESP), 2020-11-18) Bastos, Nathalia Romanzini [UNIFESP]; Falleiro, Rafael Mauricio Matricarde [UNIFESP]; Universidade Federal de São Paulo
    Ethylene glycols have many characteristics to become a product with large industrial interests to a bunch of industry segments. One of them is the triethylene glycol (TEG), a monoethylene glycol trimer, with high-end value. Dehydration of natural gas is its most important application, consuming more than 50% of the world production of TEG and believing in a greater growth according to the expansion of natural gas production. TEG is also vastly used to produce a variety of products for industrial and commercial use including solvent for resins and cleaning products, plasticizers, chemical additive in thermal fluids and raw material for unsaturated polyester resins, polyurethane, adhesives, emulsifiers, silicon components, and lubricants. TEG is highly valuable, minimizing costs of its production is a modern world necessity. This study shows, using a computer simulation, the system of purifying products by reaction of diethylene glycol (DEG) with excess of ethylene oxide catalyzed by potassium hydroxide. The results of this reaction are 83.14% purity TEG and coproducts tetraethylene glycol and pentaethylene glycol. Purifying TEG at 98.5% is achieved by batch distillation and to reaches 99.3% of purity, specification needed for natural gas dehydration, it’s necessary to have another batch distillation of TEG 98.5%. Industrial facilities have energetic expenditure of 1,075.74 Mcal to produce 1 ton of TEG at minimum 98.5%. Aspen Plus® 8.8, commercial simulator, allow us to develop a continue route with conventional tray distillation to obtain 99.3% purity with a 377.23 Mcal energy expenditure. Therefore, through project parameters studies of these columns of continue distillation (pressure and reflux ratio), a continue system was achieved with energy expenditure of 35.20% of the real expenditure in an industrial facility.