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GE Coal Water Slurry Gasification Process Modeling And Optimization

Posted on:2016-10-21Degree:MasterType:Thesis
Country:ChinaCandidate:J H ChenFull Text:PDF
GTID:2181330467479424Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Coal gasification technology is an effective method of coal combustion and usage, which converts solid fuel into syngas. At present, coal gasification has become a research focus to speed up the development of coal industry which is in the large-scale development. The modeling and optimization of gasification play a very important role in the configuration of raw materials and improving effective syngas rate. Based on this, research on modeling and optimization of gasification process are conducted in this study with GE coal-water slurry gasifier as the research object. The main work are as follows:Firstly, Currently the modeling of synthesis gas component and temperature within the gasification process is established only in the exit of gasification chamber. Therefore, in this paper, the gasification chamber is divided into52sub-sections, along the furnace height direction. Then, the modeling of CO content, H2content, CO2content and gasification temperature distribution is established with soft measurement modeling technology and LS-SVM algorithm. The predictions of these models show that models based on LS-SVM regression method are of high accuracy, good tracking performance trends, strong modeling capabilities, etc.Secondly, CO and H2gas are called the effective gas which are most desired in gasification processing. Its yield is an important indicator when evaluates of the gasifier. In order to optimize the yield of the effective gas, an improved phase Angle Locust Behaved Particle Swarm Optimization algorithm (θ-LBPSO) is proposed, combining the characteristics of the phase Angle particle swarm Optimization algorithm (θ-PSO) with Locust Behaved Particle Swarm Optimization algorithm (LBPSO). Simulation experiment on standard test functions show that the algorithm has better optimization performance and global search capabilities. Then, the algorithm is used in the operation optimization in order to improve the effective gas production rate. The results show that the optimization operation can improve the effective gas production rate effectively, and has good guidance meaning for the devices.Lastly, The center oxygen ratio of the three-channel atomizing nozzles affects the efficiency of gasification directly. To seek for an appropriate center oxygen ratio, a numerical simulation is conducted to mimic three-dimensional cold flow field in the gasifier by using FLUENT software when the center oxygen ratio is14%,16%,18%and20%, respectively. The simulation result shows that the best center oxygen ratio is16%. The analysis results can provide guidance for operation optimization of the gasifier.
Keywords/Search Tags:CW slurry gasification, LS-SVM, θ-LBPSO algorithm, numerical simulation
PDF Full Text Request
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