Wang Jingwen, Cheng Shiye, Liu Ning, Lu Na, Shang Kefeng, Jiang Nan, Li Jie, Wu Yan
School of Electrical Engineering, Dalian University of Technology, Dalian, People's Republic of China.
Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education, China), School of Environmental Science and Technology, Dalian University of Technology, Dalian, People's Republic of China.
Environ Technol. 2023 Mar;44(7):897-910. doi: 10.1080/09593330.2021.1987531. Epub 2021 Oct 18.
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%.
本文对同轴管式介质阻挡放电（DBD）反应器的功率特性和功率因数优化进行了研究。评估了包括放电电压、放电长度、放电频率和气体流速在内的几个参数对放电功率和功率因数的影响。实验结果表明，通过提高放电电压、放电频率和电极长度可以获得更高的放电功率。但对于功率因数，随着放电频率的增加，功率因数先增大后减小。此外，随着放电长度的增加，功率因数达到最大值时的放电频率降低。采用响应面法（RSM）和人工神经网络（ANN）对功率因数进行优化，其结果相对一致。人工神经网络的结果表明，当放电电压为9.58 kV、放电频率为8.69 kHz、放电长度为15.8 cm、气体流速为1.5 L/min时，功率因数达到最大值0.362。在反应器中进行了甲苯降解实验并分析了其降解效果。甲苯降解率与功率因数呈正相关，放电电压、气体流速和初始浓度也是决定甲苯降解的关键参数。当放电电压、气体流速和初始浓度分别为10 kV、70 mL/min和50 ppm时，功率因数和甲苯降解率分别达到0.34和74.3%。
