Sensitivity analysis of kinetic parameters for heavy oil hydrocracking

Félix, Guillermo; Ancheyta, Jorge; Trejo, Fernando

doi:10.1016/j.fuel.2018.12.058

Cited by 41 publications

(26 citation statements)

References 9 publications

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“…The technique can be carried out in three steps as described by Félix et al 2019 . The first step is the initialization of parameters by plugging in random numbers to obtain the guesses.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Techniques and modeling of polyphenol extraction from food: a review

et al. 2021

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There is a growing demand for vegetal food having health benefits such as improving the immune system. This is due in particular to the presence of polyphenols present in small amounts in many fruits, vegetables and functional foods. Extracting polyphenols is challenging because extraction techniques should not alter food quality. Here, we review technologies for extracting polyphenolic compounds from foods. Conventional techniques include percolation, decoction, heat reflux extraction, Soxhlet extraction and maceration, whereas advanced techniques are ultrasound-assisted extraction, microwave-assisted extraction, supercritical fluid extraction, high-voltage electric discharge, pulse electric field extraction and enzyme-assisted extraction. Advanced techniques are 32-36% more efficient with approximately 15 times less energy consumption and producing higher-quality extracts. Membrane separation and encapsulation appear promising to improve the sustainability of separating polyphenolic compounds. We present kinetic models and their influence on process parameters such as solvent type, solid and solvent ratio, temperature and particle size.

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“…The technique can be carried out in three steps as described by Félix et al 2019 . The first step is the initialization of parameters by plugging in random numbers to obtain the guesses.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Techniques and modeling of polyphenol extraction from food: a review

et al. 2021

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“…In addition, it is important to verify that indeed the order of reaction assumed in the kinetic model is the appropriate one and this is done by graphing the variation of the conversion with respect to time in the appropriate power law model according to our reaction system. In Figure 1 Félix G, et al [11] verified the reaction order of the kinetic model from experimental data obtained in a batch reactor by plotting the ln (1/(1−X R )) versus the reaction time at different reaction temperatures, obtaining a straight line indicating that the reaction order assumed was indeed 1. The parameter estimation process is somewhat complicated since most of the models have a high number of parameters to estimate in which multiple solutions can be obtained due to their high non-linearity.…”

Section: Introductionmentioning

confidence: 69%

“…This analysis is based mainly on changing the value of the calculated parameters after optimization (one at a time) due to disturbances in the obtained value, calculating again the objective function for each change. If all the disturbed parameters give the minimum of the objective function at 0% (original value) disturbance, the parameters are optimal [11].…”

Section: Introductionmentioning

confidence: 99%

Important Keys in the Estimation of Parameters During Hydrocracking Kinetic Modelling

Félix

2020

PPS

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“…Sensitivity analysis is a method to study and analyze the sensitivity of the state or output changes of a system (or model) to the changes of system parameters or surrounding conditions. Sensitivity analysis is often used in method optimization to assess the stability of the optimal solution when the original data are inaccurate or changed 15,16 . Sensitivity analysis is a fundamental element of any application analysis.…”

Section: Introductionmentioning

confidence: 99%

Investigating effect of polymer concentrations on separation performance of hydrocyclone by sensitivity analysis

Liu

Jiang

2021

Energy Science & Engineering

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Polymer flooding technology is widely used to enhance the oil recovery, but it increases the viscosity of the produced liquid, making the subsequent water treatment more challenging. Application of polymers impacts separation performance of hydrocyclone, which is an important equipment of produced liquid preseparation and sewage treatment in oil fields. In this work, the effect of polymer solution concentrations on the separation performance of hydrocyclone was studied by using sensitivity analysis. The sensitivity was calculated by numerical simulation, and the influence of polymer concentration on velocity field, pressure field, oil volume fraction, and separation efficiency of hydrocyclone was evaluated. The prototype was processed according to the similarity principle of fluid mechanics, and the relevant laboratory tests were carried out to verify the accuracy of simulation results. Within the tested range (100‐1000 mg/L), the increase of polymer solution concentrations caused adverse impacts on the velocity field, pressure field, and oil volume fraction of the hydrocyclone. When the concentrations of polymer solution reached 800 mg/L, the separation efficiency was reduced to less than 60%. The sensitivity sequence obtained by calculation is as follows: underflow outlet pressure drop > overflow outlet pressure drop > axial velocity > radial velocity > tangential velocity > pressure drop ratio. The change of pressure drop at underflow and overflow outlets was the primary cause for poor separation performance of hydrocyclone. The work can be used to guide the design and application of hydrocyclone for efficient treatment of polymer‐containing treatment liquid.

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Sensitivity analysis of kinetic parameters for heavy oil hydrocracking

Cited by 41 publications

References 9 publications

Techniques and modeling of polyphenol extraction from food: a review

Techniques and modeling of polyphenol extraction from food: a review

Important Keys in the Estimation of Parameters During Hydrocracking Kinetic Modelling

Investigating effect of polymer concentrations on separation performance of hydrocyclone by sensitivity analysis

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