Molecular-Level-Process Model with Feedback of the Heat Effects on a Complex Reaction Network in a Fluidized Catalytic Cracking Process

Liu, Jichang; Chen, Hua; Zhipeng, Pi; Liu, Yifeng; Sun, Hui; Shen, Benxian

doi:10.1021/acs.iecr.7b00320

Cited by 45 publications

(33 citation statements)

References 22 publications

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“…The length of carbon chains was determined by the distillation range and molecular weight distribution of the feed. 20 …”

Section: Resultsmentioning

confidence: 99%

A kinetic model for in situ coking denitrification of heavy oil with high nitrogen content based on starch using a structure-oriented lumping method

Zhou

et al. 2018

RSC Adv.

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In this study, in situ coking denitrification technology was utilized to simplify the entire process by adding an appropriate quantity of denitrification agents to the delayed-coking tower without any further follow-up denitrification process. The effect of starch as the denitrification agent in the in situ coking denitrification process was studied. The distribution of oil products was characterized by GC of simulated distillation. The results indicated that the nitrogen compounds present in heavy oil transformed to coke via in situ coking conversion by reacting with starch. A molecular-level process model for the coking process was developed.Product distribution on the complex reaction network could be described accurately by the model.

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“…The length of carbon chains was determined by the distillation range and molecular weight distribution of the feed. 20 …”

Section: Resultsmentioning

confidence: 99%

A kinetic model for in situ coking denitrification of heavy oil with high nitrogen content based on starch using a structure-oriented lumping method

Zhou

et al. 2018

RSC Adv.

Self Cite

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“…Based on the key molecular structure, a series of SOL molecular sets were obtained by adding side chain, branched chain, and methyl group according to certain rules . The boiling point, density, and other properties of each molecule were then calculated by physical property retrieval and computational model.…”

Section: Optimized Model Based On Mip Hybrid Modelmentioning

confidence: 99%

Online Optimization of Fluid Catalytic Cracking Process via a Hybrid Model Based on Simplified Structure-Oriented Lumping and Case-Based Reasoning

Zhou²,

Luo

et al. 2020

Ind. Eng. Chem. Res.

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The mechanism models based on structure-oriented lumping (SOL) deliver a satisfactory prediction on the properties and yield distribution of the products from fluid catalytic cracking (FCC). However, with high complexity and low computing efficiency, such a model is increasingly unable to meet the needs of refineries to produce lighter and greener products using heavier and poorer feedstocks. Therefore, in this paper, a modeling approach hybridizing molecular mechanism and data models was proposed to describe the maximizing iso-paraffins (MIP) technology of the FCC process. This proposed model showed assured prediction accuracy with shortened computing time and thus was appropriate for online application. In this work, model simplification was carried out: less molecules and reactions (3078 and 5216, respectively) were adopted, along with a simplified reactor model, which largely reduced the computation load. CatBoost algorithm was also adopted for constructing a data model, to compensate for the accuracy loss resulting from the simplified SOL mechanism model. Combining with the mechanism model, it ensured the accuracy of prediction while greatly shortened the computing time. Furthermore, to overcome the strong coupling between the process variables to be solved, this work adopted the method of case-based reasoning (CBR) to optimize the process and expanded the case base with the prediction results of the hybrid model, which ensured the feasibility of the solution parameters and shortened the computing time. The hybrid model and the corresponding process optimization strategy proposed were then applied to an industrial FCC MIP process for verification. The results show that the hybrid model could assure the prediction accuracy (comparable with the conventional mechanism model) while the computing time was reduced from more than 20 h to less than 1 min. In the process optimization validation test, the total liquid yield increased by 1.19% on average for 43 out of 50 sets of operating configurations and the coke yield decreased by 1.05% on average. This work provides a good solution for the online process optimization of FCC.

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“…FCC has become an important means of heavy oil lighting to light end products due to its advantages of the wide range of raw materials, strong adaptability, high product value, and relatively mild operating conditions , . The FCC process is complex and involves many kinds of reactions, most of which are parallel‐sequential , . Meanwhile, the coupling between the reactions is very strong.…”

Section: Kinetic Modelingmentioning

confidence: 99%

Optimization of a Fluid Catalytic Cracking Kinetic Model by Improved Particle Swarm Optimization

2019

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Fluid catalytic cracking (FCC) kinetic models are characterized by high dimension, nonlinearity, discontinuity, and non-differentiability. Particle swarm optimization is easy to fall into local optima prematurely when it is applied to the optimization of kinetic models. To solve this problem, an improved two-swarm cooperative particle swarm optimization (ITCPSO) is proposed. Considering the reaction mechanism of FCC, an 8-lumps kinetic model was developed. According to the pilot data, nine PSO algorithms and ITCPSO are presented to estimate the parameters. The results demonstrate that better performance of global searching is gained by ITCPSO compared to other PSOs, thus, ITCPSO is expected to be implemented in the optimization of complex kinetic models.

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Molecular-Level-Process Model with Feedback of the Heat Effects on a Complex Reaction Network in a Fluidized Catalytic Cracking Process

Cited by 45 publications

References 22 publications

A kinetic model for in situ coking denitrification of heavy oil with high nitrogen content based on starch using a structure-oriented lumping method

A kinetic model for in situ coking denitrification of heavy oil with high nitrogen content based on starch using a structure-oriented lumping method

Online Optimization of Fluid Catalytic Cracking Process via a Hybrid Model Based on Simplified Structure-Oriented Lumping and Case-Based Reasoning

Optimization of a Fluid Catalytic Cracking Kinetic Model by Improved Particle Swarm Optimization

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