Modelling and optimization of syngas production by methane dry reforming over samarium oxide supported cobalt catalyst: response surface methodology and artificial neural networks approach

Ayodele, Bamidele Victor; Khan, Maksudur R.; Hossain, SK Safdar; Cheng, Chin Kui

doi:10.1007/s10098-016-1318-5

Cited by 41 publications

(27 citation statements)

References 38 publications

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“…The optimization studies using response surface methodology were performed for hydrogen produced from various techniques such as catalytic methanol reforming, steam methane reforming, fermentative process, and photocatalytic process. These studies revealed that the optimum conditions are dependent on the catalytic system even though the input parameters are the same as reflected in the present work and in that reported by Ayodele et al [32].…”

Section: Parameter Optimization and Validationsupporting

confidence: 85%

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Response Surface Optimization of Hydrogen‐Rich Syngas Production by Greenhouse Gases Reforming

2020

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The effect of process interaction and response surface optimization of hydrogen‐rich syngas production by catalytic carbon dioxide (CO2) reforming of methane (CH4) was evaluated. The Box‐Behnken design was applied to investigate the influence of CH4 partial pressure, CO2 partial pressure, and temperature on the hydrogen yield. The analysis of variance indicated that temperature and CH4 partial pressure had the most significant impact on the hydrogen yield. Under optimum conditions a maximum hydrogen yield of 71.38 % was achieved. Model validation with the ideal conditions confirmed close agreement of the predicted hydrogen yields with experimental values.

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Section: Parameter Optimization and Validationsupporting

confidence: 85%

“…These studies revealed that the optimum conditions are dependent on the catalytic system even though the input parameters are the same as reflected in the present work and in that reported by Ayodele et al. .…”

Section: Resultsmentioning

confidence: 99%

Response Surface Optimization of Hydrogen‐Rich Syngas Production by Greenhouse Gases Reforming

2020

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“…The different interaction models were investigated by fitting them into the experimental data to generate regression equations that explain the data. 51 Hence, it can be deduced that an empirical relationship exists between the parameters (P CH 4 , P H 2 O g ð Þ , and T) investigated and the responses (H 2 yield and CH 4 conversion), which are represented by the quadratic equations (5) and (6). The analysis of the responses based on the values of coefficient of determination (R 2 ), adjusted R 2 , and the predicted R 2 shows that the quadratic models for the two responses are statistically significant for optimizing H 2 yield and CH 4 conversion.…”

Section: The Bbd Matrix Analysismentioning

confidence: 99%

“…This trend is consistent with previous work where BBD was employed for optimization of CO-rich H 2 production by CH 4 reforming using CO 2 over Co/Sm 2 O 3 catalyst. 51 Hence, it can be deduced that an empirical relationship exists between the parameters (P CH 4 , P H 2 O g ð Þ , and T) investigated and the responses (H 2 yield and CH 4 conversion), which are represented by the quadratic equations (5) and (6). Although, the cubic model obtained for the responses has R 2 values higher than that of the quadratic model; however, the predictability responses using the model cannot be ascertained as indicated in Tables 3 and 4.…”

Section: The Bbd Matrix Analysismentioning

confidence: 99%

Experimental and optimization studies of hydrogen production by steam methane reforming over lanthanum strontium cobalt ferrite supported Ni catalyst

et al. 2019

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Summary Over the years, research focused has been on the development of active and stable catalysts for hydrogen (H2) production by steam methane reforming (SMR). However, there is less attention on the individual and interaction effect of key process parameters that influence the catalytic performance of such catalysts and how to optimize them. The main objective of this study is to investigate the individual and interaction effects of key parameters such as methane partial pressure ( PCH4true) (10‐30 kPa), steam partial pressure ( PH2normalO()gtrue) (10‐30 kPa), and reaction temperature (T) (750‐850°C) on H2 yield and methane (CH4) conversion during SMR using Box‐Behnken experimental design (BBD) and response surface methodology. The H2 production was catalyzed using Ni/LSCF prepared by wet impregnation method. The evaluation of the Ni/LSCF using different instrument techniques revealed that the catalyst exhibited excellent physicochemical properties suitable for SMR. Response surface models showing the individual and interaction effect of each of the parameters on the H2 yield and CH4 conversion were obtained using the set of data obtained from the BBD matrix. The three parameters were found to have significant effects on the H2 yield and CH4 conversion. At the highest desirability of 0.8994, maximum H2 yield and CH4 conversion of 89.77% and 89.01%, respectively, were obtained at optimum conditions of 30 kPa, 28.86 kPa, and 850°C for PCH4, PH2normalO()g, and temperature, respectively. The predicted values of the responses from the response surface models were found to be in good agreement with the experimental values. At optimum conditions, the catalyst was found to be stable up to 390 minutes with time on stream. The characterization of the used catalyst using thermogravimetric analysis, scanning electron microscopy, energy‐dispersive X‐ray spectroscopy, and transmission electron microscopy showed some evidence deposition of a small amount of carbon on the catalyst surface.

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“…The optimization of hydrogen and syngas production from catalytic reforming of CH 4 and CO 2 over Sm 2 O 3 and CeO 2 supported Co catalysts have been investigated using BBD [37,38]. The BBD is more efficient and less costly compared to the three-factor design.…”

mentioning

confidence: 99%

An Overview of Response Surface Methodology Approach to Optimization of Hydrogen and Syngas Production by Catalytic Reforming of Greenhouse Gases (CH4 and CO2)

Ayodele¹,

Abdullah²

2018

Statistical Approaches With Emphasis on Design of Experiments Applied to Chemical Processes

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Catalytic reforming of Methane (CH 4 ) and carbon dioxide (CO 2 ) is one of the techniques used for the production of hydrogen and syngas. This technique has dual advantages of mitigation of greenhouse gases and production of hydrogen and syngas which are often used as intermediates for the synthesis of valuable chemical products and oxygenates. This study presented an overview of the application of response surface methodology (RSM) in the optimization of hydrogen and syngas production from catalytic reforming of CH 4 and CO 2 . The different catalytic system that has been employed together with the nature of experimental design, input parameters, responses, the optimum conditions and the maximum values of their responses were examined. The future research direction in the application of RSM to optimization of hydrogen and syngas production by catalytic reforming of CH 4 and CO 2 was recommended.

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Modelling and optimization of syngas production by methane dry reforming over samarium oxide supported cobalt catalyst: response surface methodology and artificial neural networks approach

Cited by 41 publications

References 38 publications

Response Surface Optimization of Hydrogen‐Rich Syngas Production by Greenhouse Gases Reforming

Response Surface Optimization of Hydrogen‐Rich Syngas Production by Greenhouse Gases Reforming

Experimental and optimization studies of hydrogen production by steam methane reforming over lanthanum strontium cobalt ferrite supported Ni catalyst

An Overview of Response Surface Methodology Approach to Optimization of Hydrogen and Syngas Production by Catalytic Reforming of Greenhouse Gases (CH4 and CO2)

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