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Modeling Selectivity in the Fischer‐Tropsch Process with Response Surface Methodology
Author(s) -
Atashi Hossein,
Dinarvandi Kousar
Publication year - 2018
Publication title -
chemistryselect
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 34
ISSN - 2365-6549
DOI - 10.1002/slct.201702302
Subject(s) - fischer–tropsch process , selectivity , response surface methodology , catalysis , olefin fiber , coal , chemistry , natural gas , biomass (ecology) , chemical engineering , organic chemistry , chromatography , engineering , oceanography , geology
In Fischer‐Tropsch synthesis, biomass and agricultural residue as a renewable and reliable resource contains carbon, hydrogen and oxygen. Fischer‐Tropsch synthesis depends on the carbon structure available resources (coal, biomass, natural gas), which plays an important role in most of the primary energy supply. In this article, the effects of factors affecting the selectivity a model of Fe/Cu/K/Al catalyst for the optimization of products were investigated using statistical method. The statistical method is a relationship between the response process and the independent variable in the selectivity model. The results show, Adj R 2 and R‐Sq are significant values in a model used for the optimization of products. Finally, maximizing CO + CO 2 conversion and C 5+ selectivity and minimizing CH 4 , CO, CO 2 , C 2‐4 , olefin in C 2‐4 selectivity were investigated under best operating conditions.