On methane pyrolysis special applications

Toncu, Dana-Cristina; Toncu, Gheorghita; Soleimani, Sajjad

doi:10.1088/1757-899x/95/1/012026

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…For the use of an iron ore catalyst (Fe2O3/Fe3O4), very few publications have modelled the kinetics of the TCMD reaction. However, for the thermal decomposition of methane and for some metal-based catalysts, researchers generally agree that the overall reaction follows first-order kinetics (although other orders reported) and therefore, a simplified first-order rate law for the TCMD reaction was found to be suitable [18], [39], [40], [41]. Zhou et al [42] experimentally carried out the TCMD reaction in a fluidised bed reactor using an iron ore catalyst and the results were then used to calculate the frequency factor and activation energy for the Arrhenius equation.…”

Section: Kineticsmentioning

confidence: 99%

Mathematical modelling and simulation of the thermo-catalytic decomposition of methane for economically improved hydrogen production

Lumbers

Agar

Gebel

et al. 2022

International Journal of Hydrogen Energy

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The demand for low-emission hydrogen is set to grow as the world transitions to a future hydrogen economy. Unlike current methods of hydrogen production, which largely derive from fossil fuels with unabated emissions, the thermo-catalytic methane decomposition (TCMD) process is a promising intermediate solution that generates no direct carbon dioxide emissions and can bridge the transition to green hydrogen whilst utilising existing gas infrastructure. This process is yet to see widespread adoption, however, due to the high catalyst turnover costs resulting from the inevitable deactivation of the catalyst, which plays a decisive role in the feasibility of the process. In this study, a feasible TCMD process was identified and a simplified mathematical model was developed, which provides a dynamic estimation for the hydrogen production rate and catalyst turnover costs over various process conditions. The work consisted of a parametric study as well as an investigation into the different process modes. Based on the numerous simulation results it was possible to find the optimal process parameters that maximise the hydrogen production rate and minimise the catalyst turnover costs, therefore increasing the economic potential of the process and hence its commercial viability.

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Section: Kineticsmentioning

confidence: 99%

Mathematical modelling and simulation of the thermo-catalytic decomposition of methane for economically improved hydrogen production

Lumbers

Agar

Gebel

et al. 2022

International Journal of Hydrogen Energy

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“…We note the introduction of technology alternatives that may reduce GHGs such as CO 2 and CH 4 when used via a FF pathway. Examples of such alternative technologies include autothermal reforming, 31–34 pyrolysis 35–37 and plasma processing. 38 Each of these technologies have the potential for lower GHG emissions from the production of H 2 using FF sources.…”

Section: Introductionmentioning

confidence: 99%

Impact of fuel cells on hydrogen energy pathways in a sustainable energy economy

Love

O’Mullane

Boulaire

2022

Sustainable Energy Fuels

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“…The researchers in Reference proposed an evolutionary multiobjective optimization (EMO) approach to the design and control of flexible fins for robotic fish, in which they investigated fins of different stiffness values and sizes. In Reference , the authors mentioned the unmanned underwater vehicles (UUVs) by studying the hydrodynamics of UUVs, especially drag force since it is required to determine the total thrust. Reference provided a perfect design of autonomous underwater vehicle of marine propeller with the aid of both computational fluid dynamics (CFD) simulation and finite element analysis method by SolidWorks software in order to get the optimum thrust from the propeller.…”

Section: Introductionmentioning

confidence: 99%

Design, modeling, and experimental validation of a concave‐shape pectoral fin of labriform‐mode swimming robot

Naser

Rashid

2019

Engineering Reports

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The pectoral fin shape, size, and speed are the three main parameters for the proposed design. The influence of the geometrical shape of pectoral fin in labriform‐mode swimming mechanism is evaluated with the aid of computational fluid dynamics (CFD) method, which could be considered as a first step before building the complete robot prototype. The simulated results obtained are then validated experimentally. Two concave‐shape fins were designed with high precision, and each one of them is attached to a servomotor arm, which is, in turn, connected to a servomotor that is sliding on a pair of parallel shafts fixed at the center of a pool. The mathematical model of the proposed design is derived and then simulated by SolidWorks software. A different number of fin oscillating angles are tested with different power‐to‐recovery ratios. The generated thrust and drag force components under different working conditions are investigated, and hence, the drag coefficient is obtained experimentally. Body velocity and motor torque are calculated and compared with theoretical analysis. The results indicate that for each angle of rotation, there exists an optimal ratio that produces a maximum thrust during power stroke and maintains a minimum drag during recovery stroke.

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On methane pyrolysis special applications

Cited by 4 publications

References 8 publications

Mathematical modelling and simulation of the thermo-catalytic decomposition of methane for economically improved hydrogen production

Mathematical modelling and simulation of the thermo-catalytic decomposition of methane for economically improved hydrogen production

Impact of fuel cells on hydrogen energy pathways in a sustainable energy economy

Design, modeling, and experimental validation of a concave‐shape pectoral fin of labriform‐mode swimming robot

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