Monte Carlo and sensitivity analysis methods for kinetic parameters optimization: application to heavy oil slurry-phase hydrocracking
A methodology to estimate kinetic parameters using the Monte Carlo algorithm and
sensitivity analysis is described. The approach is applied to the experimental data reported …
sensitivity analysis is described. The approach is applied to the experimental data reported …
Dual mixed refrigerant LNG process: Uncertainty quantification and dimensional reduction sensitivity analysis
The dual mixed refrigerant (DMR) liquefaction process is complicated and sensitive
compared to the competitive propane pre-cooled mixed refrigerant liquefied natural gas …
compared to the competitive propane pre-cooled mixed refrigerant liquefied natural gas …
Reduction of lumped reaction networks based on global sensitivity analysis
In case of complex chemical systems in that many reactions occur between high numbers of
species, it is often necessary to use some form of lum** in order to obtain a simpler kinetic …
species, it is often necessary to use some form of lum** in order to obtain a simpler kinetic …
Global sensitivity analysis and uncertainty quantification of crude distillation unit using surrogate model based on Gaussian process regression
This study presents a global sensitivity analysis to simplify a surrogate-model-based
uncertainty quantification of a crude distillation unit with a large number of uncertainties. To …
uncertainty quantification of a crude distillation unit with a large number of uncertainties. To …
Optimization of a pilot hydrocracking unit to improve the yield and quality of jet fuel together with heavy naphtha and tail oil
C Peng, Z Cao, Y Du, R Zeng, R Guo… - Industrial & …, 2018 - ACS Publications
Hydrocracking of vacuum gas oil (VGO) is a commonly used process to produce more high-
quality transportation fuels and chemicals. In this work, effects of four different operation …
quality transportation fuels and chemicals. In this work, effects of four different operation …
Modeling the Kinetics of Hydrocracking of Heavy Oil with Mineral Catalyst
Discrete and continuous lum** models have been largely used to represent the reaction
kinetics. Recently, the use of more complex and fundamental microkinetic models to …
kinetics. Recently, the use of more complex and fundamental microkinetic models to …
Uncertainty quantification and global sensitivity analysis of complex chemical processes with a large number of input parameters using compressive polynomial chaos
Uncertainties are ubiquitous and unavoidable in process design and modeling while they
can significantly affect safety, reliability, and economic decisions. The large number of …
can significantly affect safety, reliability, and economic decisions. The large number of …
Sparse Bayesian learning for data driven polynomial chaos expansion with application to chemical processes
Uncertainties are ubiquitous in process system engineering. Hence, to develop a safe and
profitable process, uncertainty quantification (UQ) is necessary in a reliability, availability …
profitable process, uncertainty quantification (UQ) is necessary in a reliability, availability …
A two-stage approach of multiplicative dimensional reduction and polynomial chaos for global sensitivity analysis and uncertainty quantification with a large number of …
Uncertainties associated with estimates of model parameters are inevitable when simulating
and modeling chemical processes and significantly affect safety, consistency, and decision …
and modeling chemical processes and significantly affect safety, consistency, and decision …
Uncertainties of lumped reaction networks in reactor design
The so-called lumped reaction networks are extensively used to model complex processes
such as hydrocracking. Despite this, studies on the further applicability of these networks …
such as hydrocracking. Despite this, studies on the further applicability of these networks …