Coaxial multi-criteria optimization of a methane steam reforming reactor for effective hydrogen production and thermal management

Pająk, Marcin; Brus, Grzegorz; Kimijima, Shinji; Szmyd, Janusz S.

doi:10.1016/j.egyai.2023.100264

Cited by 7 publications

(2 citation statements)

References 78 publications

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“…The presented research aims to alleviate the negative consequences of the strong endothermic character of the process via the introduction of radial division of the catalytic insert. In parallel to the research on the presented concept, a similar approach was successfully investigated by Cherif et al [21,22]. They introduced a radially structured catalytic insert, with alternately placed platinum-and nickel-based catalysts for an ATR reforming reactor.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Hydrogen Production from Biogas through Catalyst Rearrangements

et al. 2023

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Recent trends in hydrogen production include using renewable energy sources, e.g., biogas as feedstocks for steam reforming. Crucial to the field is minimizing existing reforming reactors for their applications to fuel cell systems. Here, we present a novel design of a steam reforming reactor for an efficient biogas conversion to hydrogen. The design includes a radial division of the catalytic insert into individual segments and substituting parts of the catalytic material with metallic foam. The segment configuration is optimized using a genetic algorithm to maximize the efficiency of the reactor. Changes in the catalytic insert design influence the thermal conditions inside the reactor, leading to moderation of the reaction rate. This article presents a promising approach to producing hydrogen from renewable sources via steam reforming. A significant enhancement in the reforming process effectiveness is achieved with a notable decrease in the amount of the catalyst used. The final results demonstrate the capability for acquiring a similar level of biogas conversion with a 41% reduction of the catalytic material applied.

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Section: Introductionmentioning

confidence: 99%

Enhancing Hydrogen Production from Biogas through Catalyst Rearrangements

et al. 2023

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“…This study shows how artificial intelligence can be used to optimize the methane bi-reforming process for syngas production with a flexible H 2 /CO ratio, contributing to the efficient utilization of methane-rich gases. Pajak et al [25][26][27] used a genetic algorithm to propose an optimal catalyst distribution in a small-scale methane steam reformer. Their algorithm screened hundreds of solutions to select those that best fit the maximum conversion rate and uniform temperature distribution criteria.…”

Section: Introductionmentioning

confidence: 99%

Enhancing a Deep Learning Model for the Steam Reforming Process Using Data Augmentation Techniques

Pizoń,

Kimijima,

Brus

2024

Energies

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Methane steam reforming is the foremost method for hydrogen production, and it has been studied through experiments and diverse computational models to enhance its energy efficiency. This study focuses on employing an artificial neural network as a model of the methane steam reforming process. The proposed data-driven model predicts the output mixture’s composition based on reactor operating conditions, such as the temperature, steam-to-methane ratio, nitrogen-to-methane ratio, methane flow, and nickel catalyst mass. The network, a feedforward type, underwent training with a comprehensive dataset augmentation strategy that augments the primary experimental dataset through interpolation and theoretical simulations of the process, ensuring a robust model training phase. Additionally, it introduces weights to evaluate the relative significance of different data categories (experimental, interpolated, and theoretical) within the dataset. The optimal artificial neural network architecture was determined by evaluating various configurations, with the aim of minimizing the mean squared error (0.00022) and maximizing the Pearson correlation coefficient (0.97) and Spearman correlation coefficient (1.00).

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Advances in the Solar Thermal Systems Assisted Production of Green Hydrogen: Its Analysis, Scaling-Up Techniques, and Economics Aspects as Applied to Tropical Regions

Patel,

Tyagi

2024

Energy, Environment, and Sustainability

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Coaxial multi-criteria optimization of a methane steam reforming reactor for effective hydrogen production and thermal management

Cited by 7 publications

References 78 publications

Enhancing Hydrogen Production from Biogas through Catalyst Rearrangements

Enhancing Hydrogen Production from Biogas through Catalyst Rearrangements

Enhancing a Deep Learning Model for the Steam Reforming Process Using Data Augmentation Techniques

Advances in the Solar Thermal Systems Assisted Production of Green Hydrogen: Its Analysis, Scaling-Up Techniques, and Economics Aspects as Applied to Tropical Regions

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