Optimization of CO₂ Capture Unit for CCUS⁃EGR Pilot Test in Wolonghe Gas Field

doi:10.12422/j.issn.1006-396X.2026.05.009

Abstract

Abstract:

To reduce the energy consumption and improve the efficiency of the carbon capture system, the methyldiethanolamine (MDEA)+piperazine (PZ)⁃based carbon capture process was studied with HYSYS based on the CCUS⁃EGR pilot test of the Maokou Formation gas reservoir in the Wolonghe Gas Field, southwestern China. The optimal operating parameters were determined by sensitivity analysis and response surface methodology (RSM) as follows: mass fraction of MDEA in the lean solution at 26.6%, mass fraction of PZ in the lean solution at 10.3%, lean amine solution flow rate at 70.3 m³/h, and the lean amine solution inlet temperature at 25 ℃. Under these conditions, specific energy consumption for CO₂ removal was reduced by 8.3%, and the CO2 removal rate was increased by 17.0%, reaching 99.8%. Accordingly, an optimized carbon capture process scheme was proposed, involving primary pressurization followed by carbon capture and the addition of lean amine solution circulation. After improvement, the system energy consumption was reduced by 11.9%.

Key words: CCUS, CO₂ capture, Response surface, Parameter optimization

摘要：

为降低碳捕集系统的能耗并提高碳捕集效率，利用HYSYS软件，以西南卧龙河气田茅口组气藏CCUS⁃EGR先导试验工程为基础，对MDEA+PZ碳捕集进行研究，通过敏感性分析与响应面优化法确定了最佳操作参数：贫胺液中甲基二乙醇胺（MDEA）的质量分数为26.6%，贫胺液中哌嗪（PZ）的质量分数为10.3%，贫胺液流量为70.3 m³/h，贫胺液进塔温度为25 ℃。在此条件下，单位脱碳能耗降低8.3%，CO2脱除率提高了17.0%，达到99.8%。据此，提出先一级增压后碳捕集及增加富胺液循环的碳捕集工艺优化方案，改进后系统能耗降低了11.9%。

关键词: CCUS, CO₂捕集, 响应面, 参数优化

CLC Number:

TQ028.1

Jizhong YANG, Wanneng DAI, Yujing HE, Xudong LU, Enbin LIU, Feng WANG, Hua ZHONG. Optimization of CO₂ Capture Unit for CCUS⁃EGR Pilot Test in Wolonghe Gas Field[J]. Journal of Petrochemical Universities, 2026, 39(5): 74-80.

杨继忠, 戴万能, 何玉晶, 鲁绪栋, 刘恩斌, 王峰, 钟华. 卧龙河气田CCUS⁃EGR先导试验二氧化碳捕集单元工艺优化[J]. 石油化工高等学校学报, 2026, 39(5): 74-80.

Figures/Tables 13

Table 1 Composition of the feed gas for the carbon capture unit

组分	摩尔分数
H₂S	0.012 6
CO₂	42.736 5
H₂O	5.281 2
Ar	0.578 9
CO	0.113 0
H₂	2.760 6
N₂	48.514 2
COS	0.003 4

Table 2 Process parameters of the carbon capture unit

参数	数值
吸收塔塔底压力/kPa	107
再生塔塔底压力/kPa	160
w（MDEA）/%	20
w（PZ）/%	3
贫胺液流量/（m³·h^-1）	60
贫胺液进塔温度/℃	40
系统能耗/kW	7 630
净化尾气中CO₂流量/（kg·h^-1）	561.7

Fig. 1 Process flow diagram for CO?absorption using MDEA+PZ

Fig. 2 Variation curves of CO? flow rate and system energy consumption with MDEA mass fraction

Fig. 3 Variation curves of CO? flow rate and system energy consumption with PZ mass fraction

Fig. 4 Curves of CO? flow rate and system energy consumption versus lean amine flow rate

Fig. 5 Curves of CO? flow rate and system energy consumption versus lean amine solution inlet temperature

Fig. 6 Steps of the response surface optimization method

Table 3 Experimental factors and levels for response surface methodology

水平	因素
水平	X₁：w（MDEA）/%	X₂：w（PZ）/%	X₃：贫胺液流量/（m³·h^-1）	X₄：贫胺液进塔温度/℃
-1	25	10	70	20
0	30	12	75	25
1	35	14	80	30

Table 4 Analysis of variance and significance test results of the response surface model based on BBD design

因素	平方和	自由度	均方差	F	P	显著性水平
模型	1.140×10⁶	14	81 432.31	435.69	<0.000 1	极显著
X₁	5 633.33	1	5 633.33	30.14	<0.000 1	极显著
X₂	64 533.33	1	64 533.33	345.27	<0.000 1	极显著
X₃	1.056×10⁶	1	1.056×10⁶	5 650.65	<0.000 1	极显著
X₄	2 133.33	1	2 133.33	11.41	0.0045	显著

Fig. 7 Curves of CO? flow rate and system energy consumption versus absorber pressure

Fig. 9 Schematic diagram of the improved carbon capture process

Fig. 10 Process flow diagram of the improved carbon capture process

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