O2, H2O or CO2 side-feeding policy in methane tri-reforming reactor: The role of influencing parameters

Alipour-Dehkordi, Afshar; Khademi, Mohammad Hasan

doi:10.1016/j.ijhydene.2020.03.239

Cited by 32 publications

(9 citation statements)

References 38 publications

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“…This would be more noticeable as the catalyst weight loaded into the reactor increased (i.e., GHSV diminished). According to Alipour-Dehkordi and Khademi, H 2 production reached a peak near the inlet of the reactor, decreasing along the reactor length due to the occurrence of the RWGS reaction. This last result also supported the findings in this present work since the length of the bed increased as more catalyst was charged into the reactor.…”

Section: Resultsmentioning

confidence: 99%

“…Optimization studies were performed by Alipour-Dehkordi and Khademi , using a multitubular reactor covered with a permeable ceramic microporous membrane in which oxygen, carbon dioxide, or water flowed through these membranes along the length of the tubular reactor. According to these researchers, such feeding configuration minimizes the formation of hot spots inside the reactor because it allows greater energy distribution, which improves process safety that is still a limiting issue to employ TRM in large-scale industrial processes.…”

Section: Introductionmentioning

confidence: 99%

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Adjusting Process Variables in Methane Tri-reforming to Achieve Suitable Syngas Quality and Low Coke Deposition

Lino

Assaf

2020

Energy Fuels

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Tri-reforming of methane (TRM) combines steam reforming, dry reforming, and partial oxidation of CH 4 in a single reactor. The H 2 /CO product ratio usually ranges from 1.5 to 2.5, which makes the TRM process highly versatile, since the synthesis gas quality can be altered by simply changing the feed composition, hence permitting a wide range of applications. A H 2 /CO ratio of 2 is usually desired to produce liquid fuels such as methanol and dimethyl ether (DME). In this work, operational studies of the influence of the gas hourly space velocity (GHSV) and the feed composition were carried out, with the aim of obtaining an H 2 /CO ratio suitable for downstream processes, as well as to achieve satisfactory CO 2 conversion, which is vital for CCSU (CO 2 capture, storage, and utilization) strategies. The catalyst used for these studies was nickel supported on MgAl 2 O 4 spinels promoted with CeZrO 2 (Ce/Zr molar ratio = 4). Reaction tests were performed changing the O 2 /CO 2 and H 2 O/CO 2 molar ratios in the reactor feed, keeping the GHSV constant at 2.95 mol•g cat −1•h −1 . Each test was run for 5 h at 750 °C and atmospheric pressure. The increase of the O 2 /CO 2 molar ratio from 0 to 1.5 in the feed reduced the amount of coke by about 30-fold, while increasing the H 2 O/CO 2 molar ratio from 0 to 1.4 led to only an 8-fold decrease of carbon deposition, which showed that increasing the supply of oxygen was more effective for reducing the carbon deposition, compared to increasing the amount of water steam. The feed composition CH 4 / CO 2 /H 2 O/O 2 /N 2 = 3:1.5:1.4:0.25:1 (O 2 /CO 2 = 0.17) could be considered the most stable operational condition among those studied in this work, producing syngas with H 2 /CO ∼ 1.7 and significant CH 4 and CO 2 conversions (77 and 60%, respectively).

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adjusting Process Variables in Methane Tri-reforming to Achieve Suitable Syngas Quality and Low Coke Deposition

Lino

Assaf

2020

Energy Fuels

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“…Besides, there are several experimental and theoretical studies on the influence of the operating variables on the performance of trireforming reactors [2,[11][12][13][14][15][16]. It was reported that an increase in temperature can favor TRM performance [16][17][18][19][20]. On the other hand, TRM performance improves as the pressure and feed flow rate decrease [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…It was reported that an increase in temperature can favor TRM performance [16][17][18][19][20]. On the other hand, TRM performance improves as the pressure and feed flow rate decrease [16][17][18][19][20]. There are some other strategies available to improve the performance of the reforming reactors.…”

Section: Introductionmentioning

confidence: 99%

“…The CH 4 conversion and H 2 yield are increased in the membrane reactor owing to hydrogen permeation from the retentate side to the permeate side through a hydrogen permselective membrane [24,[26][27][28][29]. Some studies have reported on the effect of membranes on CH 4 reforming [18,23,25,30]. However, no study has investigated TRM in membrane reactors.…”

Section: Introductionmentioning

confidence: 99%

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Development of a Trireforming Fluidized‐Bed Reactor with a Hydrogen Permselective Membrane

Osat

Shojaati

2022

Chem Eng & Technol

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Three models were developed for a conventional fluidized‐bed reactor and a cocurrent and a countercurrent membrane fluidized‐bed reactor for methane trireforming. Firstly, the effects of the operating parameters on the reactor performance were assessed. Then, a single‐objective optimization was established. Finally, a membrane was added to the reactor to improve the reactor performance. The simulated results illustrate that the reaction rates are highest near the reactor entrance due to the high volume fraction of the dispersed phase and the existence of a hot zone. Moreover, the optimization process indicates that the maximum H2 yield in the conventional fluidized‐bed reactor is obtained when the inlet temperature, inlet flow rate, and H2O/CH4 ratio, are 804 °C, 3.6 × 105 L h−1, and 2.5, respectively.

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Catalyst development for the tri‐reforming of methane (TRM) process by integrated singular machine learning models

de Souza,

Afzal,

Camacho

et al. 2024

Can J Chem Eng

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Tri‐reforming of methane (TRM) is a promising technology for the simultaneous production of hydrogen and syngas with high energy efficiency (above 70%). However, catalyst design for TRM is challenging due to complex reaction kinetics and the need for catalyst materials with great stability and activity. Machine learning, particularly artificial neural networks (ANNs), has emerged as a powerful tool in catalyst development for the TRM process. More than 6000 data points were selected to build individual models for each reaction and later coupled into an ensembled model used to make predictions considering TRM experimental conditions. The reaction temperature input parameter was found to be the one with major relative importance (61.4%), contributing the most to changes in the CH4 conversion %. Dry reforming of methane (DRM), steam reforming of methane (SRM), and partial oxidation of methane (POX) models observed errors (RMSE) of 3.44%, 2.20%, 1.61%, respectively, with the ensembled model having a maximum error of 4.48%. The newly devised artificial neural network (ANN) model demonstrates remarkable capability in accurately predicting CH4 conversion for novel catalyst formulations in the TRM process, exhibiting minimal error deviation.

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O2, H2O or CO2 side-feeding policy in methane tri-reforming reactor: The role of influencing parameters

Cited by 32 publications

References 38 publications

Adjusting Process Variables in Methane Tri-reforming to Achieve Suitable Syngas Quality and Low Coke Deposition

Adjusting Process Variables in Methane Tri-reforming to Achieve Suitable Syngas Quality and Low Coke Deposition

Development of a Trireforming Fluidized‐Bed Reactor with a Hydrogen Permselective Membrane

Catalyst development for the tri‐reforming of methane (TRM) process by integrated singular machine learning models

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