Dynamic Modeling and Parameter Identification of a Selective Catalyst Reduction (SCR) System

碩士 === 國立臺灣科技大學 === 機械工程系 === 102 === The urea-water-solution based selective catalyst reduction (SCR) system is one of the effective device in reducing the NOx emission of diesel engines. For the purpose of control synthesis and design, a zero dimensional dynamic model is developed in this thesis f...

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Main Authors: Tzung-Hua Tsai, 蔡宗樺
Other Authors: none
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/97707512820803266199
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spelling ndltd-TW-102NTUS54891872016-09-25T04:04:34Z http://ndltd.ncl.edu.tw/handle/97707512820803266199 Dynamic Modeling and Parameter Identification of a Selective Catalyst Reduction (SCR) System 選擇性還原觸媒之動態建模及參數鑑別 Tzung-Hua Tsai 蔡宗樺 碩士 國立臺灣科技大學 機械工程系 102 The urea-water-solution based selective catalyst reduction (SCR) system is one of the effective device in reducing the NOx emission of diesel engines. For the purpose of control synthesis and design, a zero dimensional dynamic model is developed in this thesis for a selective catalyst reduction system. In the absence of NH3 measurement, a procedure is proposed for identification of all the reaction constants. The states in this model include the concentration of NOx and NH3 and the surface coverage rate of the catalyst. The temperature-dependent reactions considered in this model include the adsorption, desorption and oxidation of NH3 and the NOx reduction. In the parameter identification process, the chemical reactor data provided by KJ company is first used for identification of the NOx reduction constants. The engine test data are then used for identification of the reaction constants for the adsorption, desorption, oxidation and the surface coverage rate of the catalyst. Finally, the SCR model is validated against steady-state and transient data at various engine modes and urea injection rate. none 姜嘉瑞 2014 學位論文 ; thesis 65 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 國立臺灣科技大學 === 機械工程系 === 102 === The urea-water-solution based selective catalyst reduction (SCR) system is one of the effective device in reducing the NOx emission of diesel engines. For the purpose of control synthesis and design, a zero dimensional dynamic model is developed in this thesis for a selective catalyst reduction system. In the absence of NH3 measurement, a procedure is proposed for identification of all the reaction constants. The states in this model include the concentration of NOx and NH3 and the surface coverage rate of the catalyst. The temperature-dependent reactions considered in this model include the adsorption, desorption and oxidation of NH3 and the NOx reduction. In the parameter identification process, the chemical reactor data provided by KJ company is first used for identification of the NOx reduction constants. The engine test data are then used for identification of the reaction constants for the adsorption, desorption, oxidation and the surface coverage rate of the catalyst. Finally, the SCR model is validated against steady-state and transient data at various engine modes and urea injection rate.
author2 none
author_facet none
Tzung-Hua Tsai
蔡宗樺
author Tzung-Hua Tsai
蔡宗樺
spellingShingle Tzung-Hua Tsai
蔡宗樺
Dynamic Modeling and Parameter Identification of a Selective Catalyst Reduction (SCR) System
author_sort Tzung-Hua Tsai
title Dynamic Modeling and Parameter Identification of a Selective Catalyst Reduction (SCR) System
title_short Dynamic Modeling and Parameter Identification of a Selective Catalyst Reduction (SCR) System
title_full Dynamic Modeling and Parameter Identification of a Selective Catalyst Reduction (SCR) System
title_fullStr Dynamic Modeling and Parameter Identification of a Selective Catalyst Reduction (SCR) System
title_full_unstemmed Dynamic Modeling and Parameter Identification of a Selective Catalyst Reduction (SCR) System
title_sort dynamic modeling and parameter identification of a selective catalyst reduction (scr) system
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/97707512820803266199
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