Dynamic Simulation, Optimal Design and Operation Control of a Reverse-Flow Reactor for Methane Combustion

• Main Authors: Chuei-yu Yang, 楊垂諭
• Other Authors: Chyi-Tsong Chen
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/66851462234232910000

碩士 === 逢甲大學 === 化學工程學所 === 98 === This thesis considers dynamic simulation, optimal design and control of a reverse-flow reactor (RFR) for methane combustion. A finite element method is used to build the simulation model for two-dimensional RFR. The mathematical model, which is verified with experimental data, is able to take into account simultaneously with the heat transfer, mass transfer and auto-thermal phenomenon. Through the use of the formulated model, the effects of the inlet flow rate of methane, mole fraction, switch time and catalyst on the performance of the reversal reactor are explored. On the other hand, the RFR is optimized using a real-coded genetic algorithm to enhance conversion rate and at the same time keep the RFR temperature at auto-thermal phenomenon. To prevent the methane combustion reaction system from runaway and/or extinction, an intelligent control system is developed for the reversal-flow reaction system. Extensive simulation results show that the performance of the RFR reactor is very satisfactory at auto-thermal operation by using a SNC controller.