Kinetic parameter estimation and simulation of trickle-bed reactor for hydrodenitrogenation of whole-fraction low-temperature coal tar

Feng, Xiang; Shen, Ziwei; Dong, Lijun; Liu, Xu; Fan, Xiaodong; Zheng, Hongtao; Dan, Yong; Li, Wenhong

doi:10.1080/15567036.2018.1520360

Cited by 16 publications

(21 citation statements)

References 15 publications

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“…It shows that when reaction order is 1, the range of activation energy is approximately 38–78 kJ·mol −1 , which is near to the K 1 model (35.45, 60.18, and 90.01 kJ·mol −1 ). When the reaction order is higher than 1, the range of the activation energy is approximately 58–156 kJ·mol −1 , which shows the same characteristic as the K 1.24 model (35.01, 78.38, and 122.63 kJ·mol −1 ), presenting that the activation energy is usually higher while the reaction order is higher 34 . From the previous studies about HDN activation energy, it can lead to preliminary result that the activation energies of K 1 and K 1.24 models are both the standard cognitive models.…”

Section: Resultsmentioning

confidence: 55%

“…Other researchers have done studies on HDN using different kinetic models listed in Table 6 22,34,52–59 . It shows that when reaction order is 1, the range of activation energy is approximately 38–78 kJ·mol −1 , which is near to the K 1 model (35.45, 60.18, and 90.01 kJ·mol −1 ).…”

Section: Resultsmentioning

confidence: 86%

“…This is probably because the reactant concentration is not a controlling step for HDN reactions of lump‐H NCs in an appropriate experimental condition, but plays an important role for HDN reactions of lump‐M and lump‐L NCs. Under normal reaction conditions, the more complex of the NCs or sulfides is or the bigger the reactivity gap is, the higher the HDN or HDS reaction order will be 34,56,58,59 . The HDN reactions of lump‐H NCs are probably near to the first‐order reaction and lump‐M and lump‐L NCs are probably in accordance with the non‐first‐order reaction.…”

Section: Resultsmentioning

confidence: 99%

“…High temperature reduces the viscosity of MLCT and has a positive effect on the dissolution rate of hydrogen to oil. The large molecules such as colloid, asphaltene, and other polycyclic aromatic hydrocarbons in MLCT are decomposed into smaller molecules at high temperature, which can improve the diffusion function of the hydrogen in oil transferring to the inside of the catalyst micropores where the HDN reactions occur at the inner high active sites 34,64–66 . So, the reaction temperature is always the most effective measure to enhance the hydrogenation degree for the HDN process 29 …”

Section: Resultsmentioning

confidence: 99%

“…Besides, Leckel 33 studied the effect of reaction parameters and catalysts on HDS, HDN, and HDO reactions for the utilization process of coal‐based gasification of residues. There are also some kinetic models focusing on the reactor simulation of gas–liquid–solid interaction and performance of HDS, HDN, and HDO for crude oil or coal tar etc 34–40 …”

Section: Introductionmentioning

confidence: 99%

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Lumped kinetic simulation of hydrodenitrogenation for full‐range middle‐low temperature coal tar

Dan

et al. 2021

Int J of Chemical Kinetics

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With the increasingly prominent environmental problems and depletion of light petrochemical resources, the clean utilization of heavy oil has become the research focal area. The hydrodenitrogenation (HDN) experiments and kinetics of full‐range middle‐low temperature coal tar (MLCT) was studied on a fixed‐bed reactor with a Ni‐Mo/γ‐Al2O3 catalyst. Two kinds of three‐lumped kinetic models (K1 and K1.24) based on different reaction orders and high‐middle‐low reactivities were established and fitted by a simulated annealing algorithm for coal tar HDN reactions. The results presented good correspondence with experimental data following an average relative error of less than 0.3%. The effect of temperature, pressure, and liquid hourly space velocity (LHSV) on HDN of different reactivity nitrogen compounds (NCs) of MLCT was studied using the lumped kinetic models. Also, the difference between K1 and K1.24 models on the embodiment ability for HDN laws was also discussed from multiple perspectives. It has been observed that the HDN reactions of low and middle reactivity NCs are more influenced by LHSV; high temperature and pressure are more critical for the removal of low reactivity NCs, and low‐temperature or ‐pressure zone have larger effects on coal tar HDN reactions, especially at high LHSV; temperature has much more influence than pressure on the HDN effect, particularly towards the low reactivity NCs. The results of HDN laws for high reactivity NCs are concordant with K1 and K1.24 models. The K1.24 model is a bit more reasonable to reveal the HDN law of middle to low reactivity NCs.

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Section: Resultsmentioning

confidence: 55%

Section: Resultsmentioning

confidence: 86%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Lumped kinetic simulation of hydrodenitrogenation for full‐range middle‐low temperature coal tar

Dan

et al. 2021

Int J of Chemical Kinetics

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A new streamlined bubble‐cap distributor for high gas–liquid ratio and the liquid distribution mechanisms

Yong

et al. 2022

Can J Chem Eng

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The bubble‐cap distributor is the most commonly used and critical internal for trickle bed reactors but holds the inherited disadvantage of liquid central aggregation when operating at a high gas–liquid ratio. A new bubble‐cap distributor with a streamlined downcomer was developed in this paper to counter back the liquid aggregation and improve its comprehensive performance. The effect of the streamline parameters of the new distributor on liquid distribution was systematically explored by the coupled Euler–Euler‐population balance equation (PBE) model. Compared with the classical and polyline converging–diverging structures, the results showed that the streamlined downcomer was a key to generating radial velocity of two‐phase flow and reducing the liquid central aggregation for the bubble‐cap distributor. The mechanism of well‐distribution was explored for the new distributor. Lower converging and diverging angles enhance the distribution performance. A downcomer with a small converging angle and a 30° diverging angle was recommended for dispersing the central aggregated liquid column and acquiring the high distribution uniformity and spray covering circle. These data would be helpful to the optimal design and scale‐up of the bubble‐cap distributor in further industrial applications.

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Kinetic parameter estimation and simulation of the second reactor for hydrodesulfurization of diesel

Huang

Nie

et al. 2023

Reac Kinet Mech Cat

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Kinetic parameter estimation and simulation of trickle-bed reactor for hydrodenitrogenation of whole-fraction low-temperature coal tar

Cited by 16 publications

References 15 publications

Lumped kinetic simulation of hydrodenitrogenation for full‐range middle‐low temperature coal tar

Lumped kinetic simulation of hydrodenitrogenation for full‐range middle‐low temperature coal tar

A new streamlined bubble‐cap distributor for high gas–liquid ratio and the liquid distribution mechanisms

Kinetic parameter estimation and simulation of the second reactor for hydrodesulfurization of diesel

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