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

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 experim...

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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
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spelling ndltd-TW-098FCU050630852016-04-20T04:18:21Z http://ndltd.ncl.edu.tw/handle/66851462234232910000 Dynamic Simulation, Optimal Design and Operation Control of a Reverse-Flow Reactor for Methane Combustion 甲烷燃燒流向變換反應器之動態模擬、最佳化設計與控制 Chuei-yu Yang 楊垂諭 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. Chyi-Tsong Chen 陳奇中 2010 學位論文 ; thesis 81 zh-TW
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description 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.
author2 Chyi-Tsong Chen
author_facet Chyi-Tsong Chen
Chuei-yu Yang
楊垂諭
author Chuei-yu Yang
楊垂諭
spellingShingle Chuei-yu Yang
楊垂諭
Dynamic Simulation, Optimal Design and Operation Control of a Reverse-Flow Reactor for Methane Combustion
author_sort Chuei-yu Yang
title Dynamic Simulation, Optimal Design and Operation Control of a Reverse-Flow Reactor for Methane Combustion
title_short Dynamic Simulation, Optimal Design and Operation Control of a Reverse-Flow Reactor for Methane Combustion
title_full Dynamic Simulation, Optimal Design and Operation Control of a Reverse-Flow Reactor for Methane Combustion
title_fullStr Dynamic Simulation, Optimal Design and Operation Control of a Reverse-Flow Reactor for Methane Combustion
title_full_unstemmed Dynamic Simulation, Optimal Design and Operation Control of a Reverse-Flow Reactor for Methane Combustion
title_sort dynamic simulation, optimal design and operation control of a reverse-flow reactor for methane combustion
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/66851462234232910000
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