Dynamic modelling and simulation study of Texaco gasifier in an IGCC process

Integrated gasification combined cycle (IGCC) is considered as a viable option for low emission power generation and carbon-dioxide sequestration. The simulation of the whole IGCC process is important for thermodynamic evaluation, study of carbon capture readiness and economic analysis. A simplified...

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Bibliographic Details
Published in2013 19th International Conference on Automation and Computing pp. 1 - 6
Main Authors Yue Wang, Jihong Wang, She Guo, Junfu Lv, Qirui Gao
Format Conference Proceeding
LanguageEnglish
Published Chinese Automation and Computing Society in the UK - CACS 01.09.2013
Subjects
Chemical equiliruim
Chemicals
Coal
Combustion
Dynamic performance
IGCC
Mathematical model
Simulation
Slurries
Syngas
Texaco gaifier
Turbines
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Summary:Integrated gasification combined cycle (IGCC) is considered as a viable option for low emission power generation and carbon-dioxide sequestration. The simulation of the whole IGCC process is important for thermodynamic evaluation, study of carbon capture readiness and economic analysis. A simplified dynamic model for the IGCC process is developed in this paper. In the IGCC process, Texaco gasifier is adopted and modelled based on chemical equilibriums principle which is used to predict the syngas content. The influences of the key input parameters such as oxygen/coal ratio and water/coal ratio to syngas generation are studied. The simulation results of the gasifier are validated comparing with the industry data provided by Lu-nan fertilizer factory. In addition, Water-shift reactor, gas turbine, and heat recovery steam generation modules are modeled to study the dynamic performance with respect to the variation from the input of syngas stream. The simulation results show the dynamic changes of key output variables, including gas temperature, power output and mole percentages of hydrogen, carbon dioxide in the syngas. The process dynamic responses with three types of coal inputs are studied in the paper and the results are presented to show the dynamic variation trend.