Optimization of regenerator operating parameters and thermal insulation construction for rotary regenerative thermal oxidizer (r-RTO) based on thermal-fluid coupling method and quadratic regression model

• DOI: 10.1016/j.csite.2022.102314
• Publication Date: 2022-07-31T01:16:01Z
• Authors: Bo Sun; Tong Zhao; Lu Li; Zhilong Wang; Pengzhao Sun; Cong Peng
• Keywords: Quadratic regression model; Thermal-fluid coupling method; 0211 other engineering and technologies; Rotary regenerative thermal oxidizer (r-RTO); 02 engineering and technology; TA1-2040; Regenerator; Engineering (General). Civil engineering (General); Thermal dissipation

Rotary regenerative oxidiser (r-RTO), an effective VOCs treatment equipment, needs to be operated for a long time under actual working conditions, resulting in excessive temperatures on the outer wall of r-RTO furnace, which causes production accidents. In order avoid accidents, heat transfer process airflow inside regenerator should clarified. Computational Fluid Dynamics (CFD) method is applied analyse temperature and pressure distribution regenerator. The analysed find main thermal dissipation path based thermal-fluid coupling method. distribution, outlet Toutlet decreased with increase height h. However, increased gas flow rate vgas pore size Dp, respectively. drop Pdrop h vgas. Dp. results analysis are shown that pathway along partition dividers insulation material where dissipated through material. Quadratic regression used design multivariate simulation experiments. Genetic algorithm optimal operating parameters. addition, divider thickness as optimization parameters optimize construction. present study reveals quadratic satisfactory construction