Optimum operating conditions in ethanol steam reforming over a Ni/La2O3-αAl2O3 catalyst in a fluidized bed reactor

Montero, Carolina; Remiro, Aingeru; Benito, Pedro L.; Bilbao, Javier; Gayubo, Ana G.

doi:10.1016/j.fuproc.2017.10.003

Cited by 61 publications

(48 citation statements)

References 50 publications

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“…This is particularly interesting for heavier feeds since they are more prone to thermal decomposition, being deposited high amounts of coke on the catalyst and thus causing its severe deactivation. Fluidized bed technology (Figure 4b) has been studied, besides other hydrocarbons, in the steam reforming of ethanol [111,112], dimethyl ether [113,114], butanol [115], glycerol [116], phenol [117], toluene [118], bio-oil aqueous fraction [119][120][121] and raw bio-oil [122][123][124].…”

Section: Off-line Reformingmentioning

confidence: 99%

“…This may take place by means of covering of the active sites in the catalyst or pipe plugging, among other causes, and hence, these carbon deposits are often pointed as a non-desired product or residue during H2 production. These solid deposits include, among others, pyrolysis char [296][297][298][299], gasification char [300,301], pyrolytic lignin generated in the thermal treatment of bio-oil [253,279], or coke deposited on the catalyst during catalytic pyrolysis [302][303][304] or during reforming [111,112,141,142,[172][173][174] processes ( Figure 17).…”

Section: Production Of Carbon-structured Materials In Reforming Procementioning

confidence: 99%

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Coke formation and deactivation during catalytic reforming of biomass and waste pyrolysis products: A review

Ochoa

Bilbao

Gayubo

et al. 2020

Renewable and Sustainable Energy Reviews

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295

145

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Section: Off-line Reformingmentioning

confidence: 99%

Section: Production Of Carbon-structured Materials In Reforming Procementioning

confidence: 99%

Coke formation and deactivation during catalytic reforming of biomass and waste pyrolysis products: A review

Ochoa

Bilbao

Gayubo

et al. 2020

Renewable and Sustainable Energy Reviews

Self Cite

295

145

View full text Add to dashboard Cite

“…To cope with this, the reaction conditions need to be optimized and the catalyst must be improved by modification. To improve the catalyst, one can use different Ni loadings and different supports, promoters can be added, and the catalyst can be synthesized by different techniques to obtain small Ni particle sizes and a high dispersion of Ni on the catalyst [28,58,59,62,63,129,[131][132][133]. The above-mentioned efforts have been tried in order to achieve both the high Ni surface area and the high Ni dispersion that play key roles in the ESR reaction for the highest hydrogen yield [28,[62][63][64][65][66].…”

Section: Discussionmentioning

confidence: 99%

Effect of Supports and Promoters on the Performance of Ni‐Based Catalysts in Ethanol Steam Reforming

et al. 2020

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Ethanol steam reforming (ESR) is one of the potential processes to convert ethanol into valuable products. Hydrogen produced from ESR is considered as green energy for the future and can be an excellent alternative to fossil fuels with the aim of mitigating the greenhouse gas effect. The ESR process has been well studied, using transition metals as catalysts coupled with both acidic and basic oxides as supports. Among various reported transition metals, Ni is an inexpensive material with activity comparable to that of noble metals, showing promising ethanol conversion and hydrogen yields. Additionally, different promoters and supports were utilized to enhance the hydrogen yield and the catalyst stability. This review summarizes and discusses the influences of the supports and promoters of Ni‐based catalysts on the ESR process.

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“…The ESR reaction is studied using fixed bed reactors, membrane reactors, fluidized bed reactors, and wall‐coated microchannel reactors . The kinetic equations are obtained using power law rate models and mechanistic models based on the Eley‐Rideal (ER) and the Langmuir‐Hinshelwood‐Hougen‐Watson (LHHW) mechanisms .…”

Section: Introductionmentioning

confidence: 99%

“…The ESR reaction is studied using fixed bed reactors, membrane reactors, fluidized bed reactors, and wall-coated microchannel reactors. [6][7][8][9][10]13,15,[26][27][28][29] The kinetic equations are obtained using power law rate models and mechanistic models based on the Eley-Rideal (ER) and the Langmuir-Hinshelwood-Hougen-Watson (LHHW) mechanisms. [6][7][8][9][10]23,30 The mechanistic kinetic models give more insight into the reaction scheme of ESR.…”

Section: Introductionmentioning

confidence: 99%

Simulation and multi‐objective optimization of a fixed bed catalytic reactor to produce hydrogen using ethanol steam reforming

et al. 2019

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Summary A mathematical model is developed for a fixed bed catalytic reactor to produce hydrogen using ethanol steam reforming in the presence of a Ni (II)‐Al (III)‐LDH catalyst. The simulation of the reactor has been carried out using the ode23s module of MATLAB (version 2010a) based on a mechanistic kinetic model (Langmuir‐Hinshelwood approach) with proven reaction kinetics. There is a confusion regarding the values of the kinetic parameters even though earlier workers have used the same experimental data and the same model equations. The values of the model parameters obtained using two different curve‐fitting techniques, the generalized reduced gradient (GRG) algorithm and a derivative‐free approach based on the simplex method, were different. This leads to differences in the agreement of model predictions vs experimental results. A more powerful and recent technique, genetic algorithm (GA), has been used to resolve this problem by minimizing a sum‐of‐square errors (SSE). Our tuned model parameters gave good agreement with experimental data. An SSE value of the order of 10−4 is obtained in the present study over the SSE values of the order of 10−2 obtained from earlier studies. Using this tuned model, multi‐objective optimization (MOO) of an isothermal fixed bed ESR reactor has been carried out using NSGA‐II to achieve the maximum hydrogen mole fraction in the product gas while simultaneously minimizing the mole fractions of the greenhouse gases, CO + CO2. The maximum theoretical mole fraction of hydrogen obtained is 0.088 at 911.86 K vs 0.080 at 923 K, as observed experimentally. The more recent jumping gene adaptation of NSGA‐II, namely, NSGA‐II‐JG, was also tried to check if it can give more rapid convergence to the Pareto set. It is found that the present problem is far too simple, and the advantage of the JG adaptation is small.

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Optimum operating conditions in ethanol steam reforming over a Ni/La2O3-αAl2O3 catalyst in a fluidized bed reactor

Cited by 61 publications

References 50 publications

Coke formation and deactivation during catalytic reforming of biomass and waste pyrolysis products: A review

Coke formation and deactivation during catalytic reforming of biomass and waste pyrolysis products: A review

Effect of Supports and Promoters on the Performance of Ni‐Based Catalysts in Ethanol Steam Reforming

Simulation and multi‐objective optimization of a fixed bed catalytic reactor to produce hydrogen using ethanol steam reforming

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