TY - JOUR
T1 - Sensitivity analysis of kinetic parameters for heavy oil hydrocracking
AU - Félix, Guillermo
AU - Ancheyta, Jorge
AU - Trejo, Fernando
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2019/4/1
Y1 - 2019/4/1
N2 - Sensitivity analysis is an important tool commonly used for confirming the achievement of the optimum set of parameter values obtained by regression analysis. To highlight this importance, two cases reported in the literature for the kinetic modeling of hydrocracking of heavy oils were selected, and sensitivity analysis was performed for the reported parameters. It was found that the values of the reported kinetic parameters do not reach the minimization of the objective function based on the sum of squares errors between predicted and experimental product yields, so that the reported set of kinetic parameters is not the optimal one. The calculated optimized reaction rate coefficients fitted better to experimental data than those reported in the literature. It was demonstrated that sensitivity analysis is of great relevance for determining the best set of parameters, and thus establishing proper reaction pathways, values of reaction rate coefficients, and activation energies, whereby reactor modeling, simulation, design and optimization can be done in an effective manner.
AB - Sensitivity analysis is an important tool commonly used for confirming the achievement of the optimum set of parameter values obtained by regression analysis. To highlight this importance, two cases reported in the literature for the kinetic modeling of hydrocracking of heavy oils were selected, and sensitivity analysis was performed for the reported parameters. It was found that the values of the reported kinetic parameters do not reach the minimization of the objective function based on the sum of squares errors between predicted and experimental product yields, so that the reported set of kinetic parameters is not the optimal one. The calculated optimized reaction rate coefficients fitted better to experimental data than those reported in the literature. It was demonstrated that sensitivity analysis is of great relevance for determining the best set of parameters, and thus establishing proper reaction pathways, values of reaction rate coefficients, and activation energies, whereby reactor modeling, simulation, design and optimization can be done in an effective manner.
KW - Heavy oil hydrocracking
KW - Kinetic parameters
KW - Regression analysis
KW - Sensitivity analysis
UR - http://www.scopus.com/inward/record.url?scp=85059186048&partnerID=8YFLogxK
U2 - 10.1016/j.fuel.2018.12.058
DO - 10.1016/j.fuel.2018.12.058
M3 - Artículo
SN - 0016-2361
VL - 241
SP - 836
EP - 844
JO - Fuel
JF - Fuel
ER -