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不同烟气CO2含量下近等温相变捕集工艺调节策略模拟分析OA北大核心CSTPCD

Simulation and analysis of regulation strategies for near isothermal phase change capture process under different CO2 content of flue gas

中文摘要英文摘要

CO2相变捕集工艺具有较低的再生能耗,但在实际生产中,上游工艺产生的烟气中CO2含量(物质的量分数,下同)不稳定,可导致工艺的整体能耗发生变化,因此需研究不同烟气CO2含量下该工艺参数的调节策略.通过Python语言调用Aspen Plus对近等温CO2相变捕集工艺进行了模拟计算,分析了不同CO2含量下吸收塔温度(ta)、解吸塔温度(td)、液/气比(v)、胺浓度(c)、解吸液循环比(s)对再生能耗和CO2捕集率的影响以及相应的调节策略.结果表明,td对CO2捕集率的影响最显著,当CO2含量为5.00%时,其相关性系数最高(74.78%);ta对再生能耗的影响最显著,当CO2含量为20.00%时,其相关性系数最高(-55.26%).在维持CO2捕集率大于等于90.00%的条件下,随着CO2含量从5.00%升高至20.00%,再生能耗从2.35 GJ/t降低至2.13 GJ/t.此外,应根据CO2含量对ta、td、c和v进行相应调节,以确保CO2捕集率大于等于90.00%并且再生能耗最低.

The CO2 phase change capture process has low regeneration energy consumption,but in actual production,the CO2 content(mole fraction,the same below)in flue gas generated by the upstream process is unstable,which can lead to changes in the overall energy consumption of the process.Therefore,it is necessary to study the adjustment strategies of the process parameters under different CO2 content of flue gas.Using Python to invoke Aspen Plus to simulate the near isothermal CO2 capture technology,and the effects of adsorption tower temperature(ta),desorption tower temperature(td),liquid/gas ratio(v),amine concentration(c)and desorption liquid circulation ratio(s)on the regeneration energy consumption and CO2 capture rate and the corresponding regulation strategies were analyzed.The results show that td has the most significant effect on CO2 capture rate,and the correlation coefficient is the highest(74.78%)when the CO2 content is 5.00%.ta has the most significant impact on regeneration energy consumption,and when CO2 content is 20.00%,its correlation coefficient is the highest(-55.26%).With the CO2 content increases from 5.00%to 20.00%,the regeneration energy consumption decreases from 2.35 GJ/t to 2.13 GJ/t under the condition that the CO2 capture rate is greater than 90.00%.In addition,ta,td,c and v should be adjusted accordingly according to CO2 content to ensure that CO2 capture rate is greater than 90.00%and the regeneration energy consumption is lowest.

常栋渊;唐思扬;钟山;鲁厚芳;梁斌

四川大学 化学工程学院,四川 成都 610065四川大学 化学工程学院,四川 成都 610065||四川大学 新能源与低碳技术研究院,四川 成都 610065

化学工程

CO2捕集工艺过程模拟CO2含量热泵系统参数调节

CO2 capture processprocess simulationCO2 contentheat pump systemparameters adjustment

《低碳化学与化工》 2024 (007)

69-75 / 7

四川省先进建筑材料产教融合创新示范平台(川材教[2022]106号).

10.12434/j.issn.2097-2547.20240141

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