Robust Predictions of Catalyst Deactivation of Atmospheric Residual Desulfurization

Robust Predictions of Catalyst Deactivation of Atmospheric Residual Desulfurization

Type	Journal Article
Author	Hamza Al Bazzaz
Author	Jia-Lin Kang
URL	http://dx.doi.org/10.1021/acs.energyfuels.5b01841
Volume	29
Issue	11
Pages	7089-7100
Publication	Energy & Fuels
Date	November 19, 2015
Abstract	Presents a robust parameter estimation procedure to obtain accurate, confident parameters for the atmospheric residue desulfurization (ARDS) model. A comprehensive ARDS model includes too many parameters. Earlier studies have used data fitting in the early phases of reactor system life testing to obtain the parameters. This procedure was found to be too sensitive to the initial estimates used in fitting. In order to use the ARDS model for designing reactor systems and evaluating operating strategies, a robust parameter estimation procedure is required. Authors show that the kinetic and deactivation parameters should be obtained from kinetic tests and accelerated test data, respectively, for individual catalysts. Only loading parameters such as contact efficiencies should be obtained using early life test data. They validated the procedure with long-term experimental data. Results revealed that the procedure could be applied on different catalyst systems as well, enabling the model to predict mid-term and long-term performance well during a life test.