Investigation of CO2 Splitting Process Under Atmospheric Pressure Using Multi-electrode Cylindrical DBD Plasma Reactor

Niu, Guanghui; Qin, Yue; Li, Wenwen; Duan, Yixiang

doi:10.1007/s11090-019-09955-y

Cited by 23 publications

(7 citation statements)

References 55 publications

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“…This is due to the fact that the residence time of CO 2 molecules in the DBD reactor decreases when the gas flow rate increases, resulting in less opportunity for CO 2 molecules to collide with energetic electrons and other excited substances. 44 It should be noted that although the correlation coefficient of discharge power is negative, the experimental results show that the CO 2 conversion ratio tends to increase and then decrease as the discharge power increases. The total correlation coefficient is negative because the data with a negative correlation between the CO 2 conversion ratio and discharge power are far more than the data with a positive correlation in the training data.…”

Section: Resultsmentioning

confidence: 81%

“…45 This is because as the discharge power increases, more energy is used to heat the electrode, gas and quartz dielectric. 44 Meanwhile, the higher energy input per CO 2 molecule leads to a downward trend of energy utilization efficiency. 46 The correlation coefficient between gas flow and energy efficiency is 0.452, indicating that the energy efficiency increases with the gas flow when other conditions are kept constant.…”

Section: Resultsmentioning

confidence: 99%

“…This is attributed to the fact that the absolute amount of converted CO 2 molecules increases when the gas flow increases, although the CO 2 conversion ratio shows a decreasing trend, leading to an increase in energy efficiency. 44 Among these influencing factors, the catalyst dose shows a low correlation with energy efficiency, with a correlation coefficient value of only 0.033, which could be attributed to the fact that as the catalyst dosage increases, the number of high-energy electrons in plasma tends to be constant and the promotion effect of increasing catalyst dosage is not obvious. 47 In addition, the excess photocatalyst could not contribute to the effective interaction between the catalyst and the photons or other active substances generated by the plasma, resulting in insufficient catalyst utilization.…”

Section: Correlation Analysismentioning

confidence: 99%

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Machine learning for CO₂ conversion driven by dielectric barrier discharge plasma and Cs₂TeCl₆ photocatalysts

Shen,

Fu,

Luo

et al. 2023

Green Chem.

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Section: Resultsmentioning

confidence: 81%

Section: Resultsmentioning

confidence: 99%

Section: Correlation Analysismentioning

confidence: 99%

See 1 more Smart Citation

Machine learning for CO₂ conversion driven by dielectric barrier discharge plasma and Cs₂TeCl₆ photocatalysts

Shen,

Fu,

Luo

et al. 2023

Green Chem.

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“…Obviously, CO 2 conversion and energy efficiency have opposite trends with changes in SIE. As a consequence, there is a demand to investigate the impact of the optimal SIE calculated by different combinations on the CO 2 transformation process [40].…”

Section: Resultsmentioning

confidence: 99%

DBD Plasma Combined with Different Foam Metal Electrodes for CO2 Decomposition: Experimental Results and DFT Validations

Zhai

et al. 2019

Nanomaterials

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In the last few years, due to the large amount of greenhouse gas emissions causing environmental issue like global warming, methods for the full consumption and utilization of greenhouse gases such as carbon dioxide (CO2) have attracted great attention. In this study, a packed-bed dielectric barrier discharge (DBD) coaxial reactor has been developed and applied to split CO2 into industrial fuel carbon monoxide (CO). Different packing materials (foam Fe, Al, and Ti) were placed into the discharge gap of the DBD reactor, and then CO2 conversion was investigated. The effects of power, flow velocity, and other discharge characteristics of CO2 conversion were studied to understand the influence of the filling catalysts on CO2 splitting. Experimental results showed that the filling of foam metals in the reactor caused changes in discharge characteristics and discharge patterns, from the original filamentary discharge to the current filamentary discharge as well as surface discharge. Compared with the maximum CO2 conversion of 21.15% and energy efficiency of 3.92% in the reaction tube without the foam metal materials, a maximum CO2 decomposition rate of 44.84%, 44.02%, and 46.61% and energy efficiency of 6.86%, 6.19%, and 8.85% were obtained in the reaction tubes packed with foam Fe, Al, and Ti, respectively. The CO2 conversion rate for reaction tubes filled with the foam metal materials was clearly enhanced compared to the non-packed tubes. It could be seen that the foam Ti had the best CO2 decomposition rate among the three foam metals. Furthermore, we used density functional theory to further verify the experimental results. The results indicated that CO2 adsorption had a lower activation energy barrier on the foam Ti surface. The theoretical calculation was consistent with the experimental results, which better explain the mechanism of CO2 decomposition.

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“…The oxygen and carbon monoxide produced by the local decomposition of

{\text{CO}}_{2}

could be used to create a breathable environment and manufacture aircraft fuels [ 5 ] . The plasma‐based

{\text{CO}}_{2}

conversion at atmospheric pressure is a widely discussed topic, and numerous experimental and simulated studies have been carried out in recent years [ 6–10 ] , which lays the groundwork for ISRU of

{\text{CO}}_{2}

on Mars. Previous investigations have suggested that the Martian environment is conducive to the decomposition of

{\text{CO}}_{2}

using low temperature plasma (LTP) [ 11–14 ] .…”

Section: Introductionmentioning

confidence: 99%

Modeling study on temporal nonlinear behaviors in CO₂ dielectric barrier discharges under Martian pressure

Wang

Gao

Zhang

2023

Plasma Processes & Polymers

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In recent years, dielectric barrier discharges (DBDs) have become one of the most potential candidates for in situ resource utilization of CO2 ${\text{CO}}_{2}$ in the Martian atmosphere. The nonlinear behaviors in DBDs are directly associated with the stability of discharges, and understanding the formation mechanism of the nonlinear behaviors can effectively enhance the ability to control the plasmas. In this paper, to further explore the underpinning physics of temporal nonlinear behaviors in CO2 ${\text{CO}}_{2}$ discharges, the tailored sinusoidal voltages with power‐on and power‐off phases are applied to ignite the plasmas under Martian pressure. The simulation results from a fluid model with hundreds of reactions show that the discharge can evolve from period‐one state into period‐four state via period‐two state by reducing the power‐off duration; the electron density drops rapidly and the heavy ions of CO2+ ${\text{CO}}_{2}^{+}$ and CO3− ${\text{CO}}_{3}^{-}$ become the dominant charged particles after the discharge is extinguished. With the power‐off duration further reduced, the heavy ions produced by the previous discharge cannot be completely dissipated and remain in the sheath region to enhance the electric field before the next discharge event; thus, the next ignition takes place more easily with a reduced breakdown voltage and a lower discharge current, indicating the discharge transits from a period‐one state to a period‐two state. In the transition from period‐two discharge to period‐four discharge, the heavy ions produced by the second discharge event cannot be completely transported to the surface of barriers, affecting the ignition in the third voltage period. When the power‐off duration is less than 10 μs $\mathrm{\mu s}$ in the simulation, electrons become the dominant residual negative charges in the discharge region, and the rapid increase in memory voltage results in a smaller positive discharge current and a stronger negative discharge current. As the power‐off duration continues to decrease, the discharge undergoes an inverse period‐doubling bifurcation from reverse period‐four discharge to reverse period‐two discharge. This study provides a deeper insight into the underlying physics of nonlinear behaviors in CO2 ${\text{CO}}_{2}$ DBDs under Martian pressure.

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Investigation of CO2 Splitting Process Under Atmospheric Pressure Using Multi-electrode Cylindrical DBD Plasma Reactor

Cited by 23 publications

References 55 publications

Machine learning for CO₂ conversion driven by dielectric barrier discharge plasma and Cs₂TeCl₆ photocatalysts

Machine learning for CO₂ conversion driven by dielectric barrier discharge plasma and Cs₂TeCl₆ photocatalysts

DBD Plasma Combined with Different Foam Metal Electrodes for CO2 Decomposition: Experimental Results and DFT Validations

Modeling study on temporal nonlinear behaviors in CO₂ dielectric barrier discharges under Martian pressure

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Investigation of CO2 Splitting Process Under Atmospheric Pressure Using Multi-electrode Cylindrical DBD Plasma Reactor

Cited by 23 publications

References 55 publications

Machine learning for CO2 conversion driven by dielectric barrier discharge plasma and Cs2TeCl6 photocatalysts

Machine learning for CO2 conversion driven by dielectric barrier discharge plasma and Cs2TeCl6 photocatalysts

DBD Plasma Combined with Different Foam Metal Electrodes for CO2 Decomposition: Experimental Results and DFT Validations

Modeling study on temporal nonlinear behaviors in CO2 dielectric barrier discharges under Martian pressure

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Machine learning for CO₂ conversion driven by dielectric barrier discharge plasma and Cs₂TeCl₆ photocatalysts

Machine learning for CO₂ conversion driven by dielectric barrier discharge plasma and Cs₂TeCl₆ photocatalysts

Modeling study on temporal nonlinear behaviors in CO₂ dielectric barrier discharges under Martian pressure