Degradation of toluene by tube-tube coaxial dielectric barrier discharge: power characteristics and power factor optimization

ABSTRACT

In this paper, the power characteristics and power factor optimization were investigated in a coaxial tube–tube dielectric barrier discharge (DBD) reactor. The effects of several parameters, including discharge voltage, discharge length, discharge frequency and gas flow rate on discharge power and power factor have been evaluated. The experiment results showed that higher discharge power can be obtained by increasing the discharge voltage, discharge frequency and electrode length. But for the power factor, with the increase of discharge frequency, the power factor increased firstly and then decreased. Moreover, with the discharge length increased, the discharge frequency when the power factor reached the maximum value reduced. The response surface method (RSM) and artificial neural network (ANN) were used to optimize the power factor, and their results were relatively consistent. The result of the ANN showed that when discharge voltage was 9.58 kV, discharge frequency was 8.69 kHz, discharge length was 15.8 cm, and gas flow rate was 1.5 L/min, the power factor reached the maximum value of 0.362. The degradation experiment of toluene was carried out in the reactor and its degradation effect was analyzed. The toluene degradation rate is positively correlated with the power factor, and the discharge voltage, gas flow rate and initial concentration are also the key parameters to determine the degradation of toluene. When the discharge voltage, gas flow rate, and initial concentration are 10 kV, 70 mL/min, and 50 ppm, respectively, the power factor and toluene degradation rate reach 0.34 and 74.3%.

GRAPHICAL ABSTRACT

KEYWORDS:

• DBD
• discharge power
• power factor
• response surface methodology (RSM)
• artificial neural networks (ANN)

Acknowledgements

Jingwen Wang and Shiye Cheng are equally contributed to this work.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data avaliability statement

All data included in this study are available upon request by contact with the corresponding author.

Additional information

Funding

This work was supported by the financial support from the Fundamental Research Funds for the Central Universities [grant number DUT20JC20] and National Nature Science Foundation of China [grant number U1462105].