Analysis Of Heat Transfer Characteristics Of Rotary RTO Heat Storage Recovery System

In the context of China's sustainable development,atmospheric environmental governance has become one of the themes of today's society.Among them,the pollution of volatile organic compounds(VOCs)in the air has gradually aroused the attention of all parties,and the treatment of VOCs exhaust emissions must not be delayed.The regenerative combustion method is currently used more VOCs treatment method,this method has the advantages of high thermal efficiency,can achieve self-heating,etc.,regenerative oxidation furnace(RTO)is one of the commonly used devices.This paper uses Fluent software to analyze and study the heat storage and heat release process of the rotary RTO regenerator.Too many regenerator pores are not conducive to grid division and calculation.Therefore,a quarter of regenerator is selected as the original model for calculation.Based on the calculation results,it is equivalent to a porous medium model.By changing the operating parameters of the regenerator(bed height,gas velocity and pore size),the heat transfer of the regenerator was numerically simulated,and the influence of different parameters on the outlet temperature and pressure drop of the regenerator was obtained.In order to improve the thermal efficiency,this paper optimizes the operating parameters of the regenerator based on the quadratic regression combined test method.Taking the minimum outlet temperature and the minimum pressure drop as the optimization goals,selecting the bed height,gas flow rate and pore size as the parameter variables,numerically calculating the 17 sets of experimental schemes,establishing two regression prediction mathematical models about temperature and pressure drop,using Excel performs regression analysis on the experimental data.The genetic algorithm was used to optimize the operating parameters of the regenerator,and the solution set obtained by Matlab was analyzed to obtain a set of optimal operating parameters of the regenerator with the minimum pressure drop under the limit of thermal efficiency greater than or equal to 95%.This paper optimizes the thermal insulation structure based on ANSYS using thermal-fluid coupling method.First,establish a heat storage recovery system containing an insulation structure;then,the Fluent module in ANSYS simulates the flow and heat transfer process of the heat storage chamber,and the obtained temperature distribution of the heat storage chamber is loaded as a load on the insulation structure.The State Thermal module performs coupling calculations,analyzes the calculation results,finds the main path of heat loss,and further optimizes the insulation structure.