摘要
文利用电路网络模型对变压吸附制氧工艺流程模拟并优化操作参数后,用碳分子筛吸附空气中大部分的Ar和N2,解吸出的大约70%左右的氧气作为沸石分子筛单元的进料气,在沸石分子筛中除去余下的N2,即可得到产品回收率为28.4%,浓度为99.06%的纯氧。通过模拟发现,在保证氧气纯度的前提下,通过筛选工艺流程,优化阀系数、操作时间、吸附和脱附的压力,从而提高氧气回收率,降低了制纯氧的成本。
We can get oxygen of 28.4% product recovery and 99.06% product purity after simulating the PSA oxygen - making flow using electrical network model and optimizing operation parameters, using carbon molecular sieve to absorb most of the Ar and N2 from air, then desorbing around 70% oxygen as the feed - in gas of 5A zeolite unit and taking out remained N2 from it. It is shown from the simulating that in the premise of ensuring oxygen purity, we can improve oxygen recovery and reduce the cost to make pure oxygen by selecting flow and optimizing valve parameters, operating time and the pressure of absorbing and desorbing.
出处
《广东化工》
CAS
2006年第1期60-63,66,共5页
Guangdong Chemical Industry
基金
国家自然科学基金项目(29876011)
关键词
变压吸附
碳分子筛
5A分子筛
纯氧
电路网络模型
pressure swing absorption
carbon molecular sieve
5A zeolite
pure oxygen
electrical network model
