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

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%.

Automated summary

This paper investigates the power characteristics and power factor optimization in a coaxial tube-tube dielectric barrier discharge reactor. The effects of various parameters on discharge power and power factor were evaluated. The results show that increasing discharge voltage, discharge frequency, and electrode length can enhance discharge power. However, the power factor initially increases and then decreases with increasing discharge frequency. Response surface method and artificial neural network were used for power factor optimization, and their results were consistent. The degradation experiment of toluene in the reactor reveals a positive correlation between the toluene degradation rate and power factor, with discharge voltage, gas flow rate, and initial concentration playing key roles. The importance of these parameters is demonstrated when the power factor reaches 0.34 and the toluene degradation rate reaches 74.3% at a discharge voltage of 10 kV, gas flow rate of 70 mL/min, and initial concentration of 50 ppm.