CFD 해석을 통한 충격기류식 여과집진설비의 탈진 공기공급량 최적화

초록

Numerical analysis was conducted to optimize the cleaning performance and economic design of pulse air jet bag filter systems. Using the commercial computational fluid dynamics software ANSYS Fluent, flow behavior inside bag filter was simulated to investigate the effects of key design parameters, including filtration velocity, pulsing pressure, and air supply per unit area of the filter media. The results showed that under the same pulsing pressure, inlet dust concentration, and filtration velocity conditions, when the air supply per unit area was increased from 4 L to 8 L, the reach of compressed air within the filter bag increased by 13.6–31.6% at a low concentration (0.5 g/m3) and by 18.5–51.5% at a high concentration (2.0 g/m3). For every 0.25 m/min increase from 1 m/min in filtration velocity, the reach of compressed air within the filter bag decreased by 1.2–5.6% at low concentration (0.5 g/m3) and 2.4–8.1% at high concentration (2.0 g/m3). The reduction was more pronounced when the air supply per unit area was smaller and the pulsing pressure lower. For every 1 bar decrease in pulsing pressure from 7 bar, the reach of compressed air within the filter bag decreased by 1.8–11.4% at low concentration (0.5 g/m3) and 3–18.8% at high concentration (2.0 g/m3), with the difference increasing when the air supply per unit area was smaller and the filtration velocity higher. The results suggest that filtration velocity exerts a greater influence on compressed air when the air supply and pulsing pressure are low. Under low concentration (0.5 g/m3) conditions, it is recommended to design using a Φ 10 nozzle with an air supply range of 5–7 L/m2, where as under high concentration (2.0 g/m3) conditions, it is advisable to design using a Φ 12 nozzle with an air supply range of 6–8 L/m2. Ⓒ The Korean Environmental Sciences Society. All rights reserved.

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