Surrogate model of acetylene hydrogenation reactor based on bootstrap GEI algorithm

DUAN Xingchen; DU Wenli

doi:10.11949/j.issn.0438-1157.20151421

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Surrogate model of acetylene hydrogenation reactor based on bootstrap GEI algorithm

更新时间：2025-12-10

- Surrogate model of acetylene hydrogenation reactor based on bootstrap GEI algorithm
- CIESC Journal Issue 12, Pages: 4904-4909(2015)
- 作者机构：
  
  华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海,200237
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20151421
  CLC： P18TQ211
- Online First：05 December 2015，
  
  Published：05 December 2015
- 稿件说明：
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DUAN Xingchen, DU Wenli. Surrogate model of acetylene hydrogenation reactor based on bootstrap GEI algorithm[J]. CIESC Journal, 2015, (12): 4904-4909.
DOI：

DUAN Xingchen, DU Wenli. Surrogate model of acetylene hydrogenation reactor based on bootstrap GEI algorithm[J]. CIESC Journal, 2015, (12): 4904-4909. DOI： 10.11949/j.issn.0438-1157.20151421.

摘要

碳二加氢反应器是乙烯工厂的一个重要装置

其运行状况直接影响着乙烯产品的纯度和产量

因此

提高碳二加氢反应过程的建模和优化效率对于工业实际具有重要意义。但是

直接对碳二加氢反应器的CFD高精度分析模型进行优化

计算量大

优化效率非常低。本文从模型预测方差准确性和提高全局搜索的有效性出发

基于Kriging代理模型

提出了一种求取无偏预测方差的广义期望提高算法——bootstrap GEI算法

通过测试函数的仿真对比

与bootstrap EI算法相比

该算法能够从全局角度搜索最优样本点

减少样本点的个数

从而提高模型更新和优化效率。该算法在实际工业碳二加氢等温反应器的代理模型中也得到了有效验证。

Abstract

Acetylene hydrogenation reactor is an important device of the ethylene plant

and its working condition directly affects the purity and yield of ethylene products

so it is of great significance to improve the modeling and optimization efficiency of the reaction process for acetylene hydrogenation. However

directly optimizing high precision CFD models are often low efficiency because of the large calculation. This paper from the model accuracy of prediction variance and improvement of the effectiveness of global search

proposes a bootstrap GEI algorithm based on Kriging surrogate model. Through simulation contrast of test functions

compared with bootstrap EI algorithm

this algorithm can find the optimal sample points of global search and reduce the number of sample points

so as to improve the efficiency of the model updating and optimization. And this algorithm is effectively validated in the surrogate model of acetylene hydrogenation reactor.

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