混合绝缘气体变温吸附分离回收SF<sub>6</sub>优化研究

高春霄; 赵睿恺; 邓帅; 王傢俊; 赵力

doi:10.12434/j.issn.2097-2547.20240187

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混合绝缘气体变温吸附分离回收SF₆优化研究

分离材料与净化技术

- 混合绝缘气体变温吸附分离回收SF₆优化研究
- Optimization study of SF₆ recovery from mixed insulating gases using temperature swing adsorption
- 低碳化学与化工 2025, 50(1): 95-100.
- 作者机构：
  
  1.天津大学先进内燃动力全国重点实验室，天津 300350
  2.天津大学天津市超低能耗碳捕集国际联合研究中心，天津 300350
- 作者简介：
  
  高春霄（2000—），硕士研究生，研究方向为温室气体捕集与高效回收，E-mail：2595571622@qq.com。
  赵睿恺（1989—），博士，副研究员，研究方向为吸附法温室气体减排的工程热物理问题，E-mail：ruikaizhao@tju.edu.cn。
- 基金信息：
  
  国家自然科学基金青年科学基金(52306265);天津市自然科学基金重点项目(22JCZDJC00540)
- DOI：10.12434/j.issn.2097-2547.20240187
  中图分类号： TQ028;X701;O647.3
- 纸质出版日期：2025-01-25，
  
  收稿日期：2024-04-30，
  
  修回日期：2024-06-30，
- 稿件说明：
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高春霄, 赵睿恺, 邓帅, 等. 混合绝缘气体变温吸附分离回收SF₆优化研究[J]. 低碳化学与化工, 2025,50(1):95-100.

GAO CHUNXIAO, ZHAO RUIKAI, DENG SHUAI, et al. Optimization study of SF₆ recovery from mixed insulating gases using temperature swing adsorption. [J]. Low-carbon chemistry and chemical engineering, 2025, 50(1): 95-100.
高春霄, 赵睿恺, 邓帅, 等. 混合绝缘气体变温吸附分离回收SF₆优化研究[J]. 低碳化学与化工, 2025,50(1):95-100. DOI： 10.12434/j.issn.2097-2547.20240187.

GAO CHUNXIAO, ZHAO RUIKAI, DENG SHUAI, et al. Optimization study of SF₆ recovery from mixed insulating gases using temperature swing adsorption. [J]. Low-carbon chemistry and chemical engineering, 2025, 50(1): 95-100. DOI： 10.12434/j.issn.2097-2547.20240187.

摘要

是一种强温室气体，从混合绝缘气体（SF

体积分数15%、N

体积分数85%）中分离回收SF

兼具环境和经济效益。研究了变温吸附（TSA）循环回收SF

。选取文献报道的SF

在13X分子筛上的吸附数据，采用Langmuir模型对吸附数据进行拟合，建立了变温吸附循环模型，并采用遗传算法对循环性能指标进行多目标优化，采用TOPSIS法对Pareto最优解集进行决策。结果表明，Langmuir模型拟合结果可以较好预测吸附数据，决定系数（

）大于0.98。在Pareto最优解集中，SF

回收率和纯度与循环㶲效率呈现竞争关系。当目标函数中回收率、纯度和㶲效率的决策权重按照1:1:1分配时，决策变量中吸附温度取值为293.00 K，解吸温度取

值为382.24 K，此时回收率、纯度和㶲效率分别为87.00%、32.08%和2.68%。变温吸附循环在SF

捕集和回收中具有应用潜力。

Abstract

is a potent greenhouse gas

and its recovery from mixed insulating gases (SF

volume fraction of 15% and N

volume fraction of 85%) by adsorption separation offer both environmental and economic benefits. The recovery of SF

using temperature swing adsorption (TSA) cycle was investigated. Adsorption data for SF

on zeolite 13X from the literature were used

and the Langmuir model was applied to fit the data

and a TSA cycle model was established. A genetic algorithm was employed for multi-objective optimization of performance indices

and the TOPSIS was used to make decisions on the Pareto optimal solution set. The results show that the Langmuir model can accurately predict adsorption data

with a coefficient of determination (

) greater than 0.98. In the Pareto optimal solution set

recovery rate and purity of SF

exhibit a trade-off with exergy efficiency of cycle. When the decision weights of recovery rate

purity

and exergy efficiency in the objective function are assigned as 1:1:1

the optimal adsorption temperature is 293.00 K

and the optimal desorption temperature is 382.24 K. Under these conditions

the recovery rate

purity and exergy efficiency are 87.00%

32.08% and 2.68%

respectively. The TSA cycle shows potential for application in the capture and recovery of SF

关键词

SF6回收13X分子筛TSA循环多目标优化Pareto最优解集TOPSIS法

Keywords

SF6 recoveryzeolite 13XTSA cyclemulti-objective optimizationPareto optimal solution setTOPSIS

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混合绝缘气体变温吸附分离回收SF6优化研究

Optimization study of SF6 recovery from mixed insulating gases using temperature swing adsorption

DOI：10.12434/j.issn.2097-2547.20240187

摘要

Abstract

关键词

Keywords

references

混合绝缘气体变温吸附分离回收SF₆优化研究

Optimization study of SF₆ recovery from mixed insulating gases using temperature swing adsorption