Simulation and optimization of cryogenic air separation units using a homotopy-based backtracking method

Simulation and optimization of cryogenic air separation units using a homotopy-based backtracking method
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使用基于同伦的回溯方法对低温空气分离装置进行仿真和优化

DOI:
10.1016/j.seppur.2009.03.032
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发表时间:
2009-06
影响因子:
8.6
通讯作者:
Shao, Zhijiang
Shao, Zhijiang
中科院分区:
工程技术1区
文献类型:
--
作者:
Chen, Zhiqiang;Chen, Xi;Qian, Jixin;Zhu, Lingyu;Shao, Zhijiang

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为了响应低温空气分离装置对气体产品频繁变化的需求,需要自动负载变化(ALC)系统来在广泛变化的负载条件下优化地改变产品和回收率。然而,由于过程中复杂的热集成,低温空气分离装置(ASU)的模拟和优化往往无法与传统的基于牛顿的算法收敛。提出了一种基于同伦的回溯方法(HBM),并将其应用于负载条件大变化下的低温空分装置的过程操作。与传统的过程模拟不同,引入了负载矢量来表示由于负载变化而导致的工作点的变化。 HBM 以一种朝着目标前进并在失败时回溯的方式解决该过程。结果表明,该方法可以成功优化传统算法无法收敛的大量操作点。
In response to frequently changing demands on gaseous products of cryogenic air separation units, an automatic load change (ALC) system is desired to optimally change the products and recycle rates under widely variable load conditions. However, due to the complex heat integration in the process, simulation and optimization of cryogenic air separation units (ASUs) often fails to converge with traditional Newton-based algorithms. A homotopy-based backtracking method (HBM) is presented and applied to the process operation of a cryogenic ASU under wide changes in load conditions. Different from traditional process simulation, a load vector is introduced to denote the variation of the operation point due to the load change. The HBM solves the process in a way that heads toward the target and backtracks at failure. The results show that a large number of operating points that failed to converge with traditional algorithms can be successfully optimized with the proposed method.
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