Open AccessDIESEL CONVERSION MAXIMIZATION IN A FT MULTI-BED REACTOR
Author(s) -
L. M. Avila,
Lizandro de Sousa Santos,
Luis Monteiro,
Diego Martinez Prata
Publication year - 2019
Publication title -
latin american applied research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 23
eISSN - 1851-8796
pISSN - 0327-0793
DOI - 10.52292/j.laar.2019.336
Subject(s) - solver , maximization , diesel fuel , process (computing) , ordinary differential equation , work (physics) , computer science , mathematical optimization , process engineering , homogeneous , differential equation , mathematics , engineering , thermodynamics , automotive engineering , physics , mathematical analysis , operating system
Recently, modeling and simulation of the diesel production process via Fischer Tropsch (FT) have been the subject of study by several re-searchers. However, studies involving the optimiza-tion of FT technology are scarce, principally pro-cesses involving Fixed Bed Reactors (FBR). The present work aims to simulate and optimize a multi-tubular FT FBR in which the goal is to maximize the diesel production. In this way, the modeling, simulation and optimization of FT process were proposed. The reactor model is based on the one-dimensional pseudo-homogeneous model in which mass and energy balances were taken into account. The resultant ordinary differential equation system was solved by the use of the Adams Moulton meth-od, while the Interior Point method was used for the optimization step. The algorithm was then imple-mented into the Scilab solver. Several case studies were performed, evidencing that the temperature of the cooling fluid and H2/CO ratio fluid significantly impacts the conversion of the reaction.