Knowledge Management System Of Institute of process engineering,CAS
|Thesis Advisor||张香平 ; 张锁江|
|Place of Conferral||北京|
|Keyword||脱碳 离子液体 醇胺溶液 Cosmo-rs模型 流程模拟 能耗分析|
With the large consumption of coal, it is necessary to search for other energy supply alternatives, such as shale gas, natural gas, and biogas.Those kind of gas mixture mainly consists of CH4, CO2 and other impurities such as N2, light hydrocarbons. It is a necessary step for gas mixture upgrading aiming at removing CO2 and other impurities before being used on a large scale or commercialized. As a new kind of solvent, ionic liquid (IL) has been considered as new potential solvent for CO2 removal because of its low saturated vapor pressure, high solubility of CO2 and low energy consumption of recycle. In this work, a more comprehensive and systematic method is proposed to screen suitable ILs than previously reported works based on the COSMO-RS model, absorption mechanism as well as available experimental data. Further, a comparison was made between IL-based decarbonization process with MDEA process on energy consumption. The work provides basic data package for the process design, and guidance for the process optimization. The innovative results of the dissertation are as follows.(1) Based on COSMO-RS model, the henry's constant of CO2 and CH4 and selectivity of CO2/CH4 in 9 cations and 10 anions were predicted. The results showed that the solubility of CO2 increases with the length of alkyl chain in the cation of same kind of ILs. Combined with the ILs database, the viscosity and toxicity of imidazolium ILs were evaluated. The potential IL for decarbonization was screened under the consideration of those properties, providing fundamental for process design and optimization.(2) According to the screened IL,thermodynamics model for shale gas separation was established and the predicted values were consistent with the literature.The two-stage flash and multi-stage flash of IL-based decarbonization process and MDEA-based process were simulated. Detailed process parameters of the three technologies were obtained through sensitivity analysis. The results showed that multi-stage flash process could save much energy consumption, which may be a potential substitute for MDEA-based technology.(3) Based on the IL-based process for shale gas decarbonization, a similar process for biogas decarbonization was simulated through sensitivity analysis and optimization. The optimal operation condition was set, providing important guidance for the establishment of pilot plant. The result showed that adding a little heat in flash could effectively reduce the CH4 loss and increase the CO2 removal.
|刘芯妍. 离子液体法脱碳工艺的模拟与能耗分析[D]. 北京. 中国科学院研究生院,2016.|
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