Volume 9: Sustainable Energy Solutions for Changing the World: Part I

OPTIMIZATION INVESTIGATION ON THE GEOMETRICAL PARAMETERS OF A SCRUBBER USING GENETIC ALGORITHM Jiarui Wang, Simin Wang, Chen Song, Zaoxiao Zhang

Abstract

The wet scrubber can be used for reducing particles and recover waste heat from flue gas, but its particle removal performance is relatively poor. To improve its performance, an effective algorithm combining genetic aggregation response surface method with multi-objective genetic algorithm was adopted to study the effects of geometrical parameters. Based on particle scavenging model, a gas-liquid-solid three phase numerical method was adopted to simulate the process of wet scrubbing. The particle removal efficiency, heat transfer efficiency and pressure drop were considered as objective functions. After response surface analysis, the local sensitivity and a set of Pareto-optimal points were obtained. The results show that the response surface results have a good agreement with simulation data and the particle removal efficiency and temperature drop of optimized structure can be increased by 4.66% and 17.42%, respectively, which provides guidelines for engineering applications.

Keywords gas-liquid-solid multiphase flow, scrubber, numerical simulation, optimization