Scholarlink

<p>SO<sub>2</sub> is one of the major air pollutants affecting both the environment and human health. Controlling its emissions has become a critical goal for many countries. This study evaluates the performance of a combined system utilizing non-thermal plasma and photocatalysts for SO<sub>2</sub> removal, with data analyzed through SPSS and R software. In this method, nano-photocatalysts of TiO<sub>2</sub> and ZnO were used in IPC form. The study examined the effects of concentration, flow rate, voltage, specific input energy, and residence time on removal efficiency, as well as their interactions. ANOVA results showed that both systems were highly effective in removing SO2, with the non-thermal plasma system paired with TiO2 photocatalyst performing slightly better. At a concentration of 500 ppm, SO<sub>2</sub> with a removal efficiency of 97.32% in the TiO<sub>2</sub>-based system and 94.3% in the ZnO-based one. The best efficiency for both methods was achieved at a voltage of 15&#xa0;kV and a flow rate of 3 Lit/Min. energy efficiency in optimal conditions was 6.6&#xa0;g/kWh. A significant relationship was reported between Flow Rate (p-value ≤ 0.001), Voltage (p-value ≤ 0.001), Residence Time (p-value ≤ 0.001), and study factors. The findings indicate that this method seems to be very effective, efficient, and economical for the removal of sulfur dioxide (SO2).</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Evaluation of SO₂ removal efficiency using a series non-thermal plasma reactor coupled with TiO₂ and ZnO photocatalysts

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月31日

查看全文
  • Dariush Shahbazi,
  • Seyed Alireza Hajiseyed Mirzahosseini,
  • Shahrooz Saviz,
  • Homayon Ahmadpanahi

摘要

SO2 is one of the major air pollutants affecting both the environment and human health. Controlling its emissions has become a critical goal for many countries. This study evaluates the performance of a combined system utilizing non-thermal plasma and photocatalysts for SO2 removal, with data analyzed through SPSS and R software. In this method, nano-photocatalysts of TiO2 and ZnO were used in IPC form. The study examined the effects of concentration, flow rate, voltage, specific input energy, and residence time on removal efficiency, as well as their interactions. ANOVA results showed that both systems were highly effective in removing SO2, with the non-thermal plasma system paired with TiO2 photocatalyst performing slightly better. At a concentration of 500 ppm, SO2 with a removal efficiency of 97.32% in the TiO2-based system and 94.3% in the ZnO-based one. The best efficiency for both methods was achieved at a voltage of 15 kV and a flow rate of 3 Lit/Min. energy efficiency in optimal conditions was 6.6 g/kWh. A significant relationship was reported between Flow Rate (p-value ≤ 0.001), Voltage (p-value ≤ 0.001), Residence Time (p-value ≤ 0.001), and study factors. The findings indicate that this method seems to be very effective, efficient, and economical for the removal of sulfur dioxide (SO2).