2021
DOI: 10.3390/en14248414
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Optimization of Operating Conditions for CO2 Methanation Process Using Design of Experiments

Abstract: In this study, the Taguchi experimental design method using an L16 orthogonal array was attempted in order to investigate the optimal operating conditions for the CO2 methanation process in Ni-based catalysts. The relative influence of the main factors affecting CO2 conversion and CH4 yield was ranked as follows: reactor pressure > space velocity > reaction temperature. The optimal combination of operating conditions was a reactor temperature of 315 °C, a pressure of 19 bar, and a space velocity of 6000 … Show more

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Cited by 7 publications
(3 citation statements)
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“…DoE can reduce the number of experiments required to find more optimal reaction conditions, such as identifying more effective conditions for CO 2 to CO conversion, 81 electrochemical CO 2 reduction, 82 solventbased CO 2 capture systems, 83 and CO 2 methanation. 84 One popular alternative to DOE is Bayesian optimization (BO), which is a sequential model-based technique that aims to find the global optimum of a black-box function by selecting the next reaction parameters to be evaluated based on the previous observations and a probabilistic model, socalled surrogate model. The new parameters are chosen to strike a balance between exploitation, using the already run experiments to select promising points, and exploration to improve the model's accuracy in unknown regions.…”
Section: Machine Learning and Ai And Their Impactmentioning
confidence: 99%
See 1 more Smart Citation
“…DoE can reduce the number of experiments required to find more optimal reaction conditions, such as identifying more effective conditions for CO 2 to CO conversion, 81 electrochemical CO 2 reduction, 82 solventbased CO 2 capture systems, 83 and CO 2 methanation. 84 One popular alternative to DOE is Bayesian optimization (BO), which is a sequential model-based technique that aims to find the global optimum of a black-box function by selecting the next reaction parameters to be evaluated based on the previous observations and a probabilistic model, socalled surrogate model. The new parameters are chosen to strike a balance between exploitation, using the already run experiments to select promising points, and exploration to improve the model's accuracy in unknown regions.…”
Section: Machine Learning and Ai And Their Impactmentioning
confidence: 99%
“…DoE can reduce the number of experiments required to find more optimal reaction conditions, such as identifying more effective conditions for CO 2 to CO conversion, 81 electrochemical CO 2 reduction, 82 solvent-based CO 2 capture systems, 83 and CO 2 methanation. 84…”
Section: Optimizers and Their Impactmentioning
confidence: 99%
“…The input gases required for methane production from CO2 are CO2 and H2. The methanation of CO2 is an exothermic catalytic reaction and is typically operated at temperatures between 250°C and 4000°C [12] depending on the catalyst used:…”
Section: Data Collection and Experimental Proceduresmentioning
confidence: 99%