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基于曲线生成器的间歇萃取精馏分离R410a操作优化

张煜鑫 陶坚 王佳远 祝铃钰

高校化学工程学报2025,Vol.39Issue(6):1044-1051,8.
高校化学工程学报2025,Vol.39Issue(6):1044-1051,8.DOI:10.3969/j.issn.1003-9015.2025.00.046

基于曲线生成器的间歇萃取精馏分离R410a操作优化

Operational optimization of batch extractive distillation for R410a based on profile generator

张煜鑫 1陶坚 2王佳远 1祝铃钰1

作者信息

  • 1. 浙江工业大学化学工程学院,浙江 杭州 310000
  • 2. 浙江工程设计有限公司,浙江 杭州 310000
  • 折叠

摘要

Abstract

Enabling refrigerant recycling is an effective strategy for reducing carbon emissions throughout the refrig-erant lifecycle.The characteristics of wide distribution,large compositional variation,and unstable recovery amount of waste refrigerants make batch extraction distillation more advantageous.To address the issues of strong stiffness and time-consuming computation in the differential-algebraic model of batch extractive distillation,this paper inno-vatively proposes an optimization scheme that parametrizes the operating curves using a curve generator and solves them with the Bayesian optimization algorithm(BO).The effectiveness of the scheme was verified through the sep-aration of R410a.Case results show that at least two generated curves are required to describe a complete batch ex-tractive distillation process.Compared to stochastic optimization algorithms,BO provides better reproducibility and orders of magnitude reduction in objective function evaluations,significantly lowering computational costs.

关键词

萃取精馏/制冷剂/微分代数方程/参数化/贝叶斯优化/遗传算法

Key words

extractive distillation/refrigerant/differential algebraic equations/parameterization/Bayesian optimization/genetic algorithm

分类

化学化工

引用本文复制引用

张煜鑫,陶坚,王佳远,祝铃钰..基于曲线生成器的间歇萃取精馏分离R410a操作优化[J].高校化学工程学报,2025,39(6):1044-1051,8.

基金项目

"浙江省'尖兵''领雁'研发攻关计划资助"(2024C01028) (2024C01028)

国家自然科学基金(22008217). (22008217)

高校化学工程学报

OA北大核心

1003-9015

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