南堡联合站轻烃回收工艺参数优化研究

Optimization of light hydrocarbon recovery process parameters in Nanpu combined station

关键词:  轻烃回收  关键参数  响应面分析法  比功耗  多因素优化

Key words:  light hydrocarbon recovery  key parameters  response surface analysis method  specific power consumption  multi-factor optimization

摘要:

目的 提高南堡联合站天然气轻烃回收率,降低生产能耗。方法 基于HYSYS模拟软件建立模型,分别对天然气轻烃回收工艺的增压单元、冷冻分离单元、轻烃分馏单元等关键参数进行单因素分析。 得出各单因素的取值范围；依据各单因素的取值范围,以系统回收装置最小比功耗为目标函数,利用响应面分析法对参数进行优化,确定多因素关键参数的最佳组合。结果 优化后的流程比实际生产丙烷收率提升了5.62%,液化气产量提升了3.53%,产品比功耗减少了0.91%,装置总能耗降低了2.46%。结论 响应面分析法用于天然气轻烃回收的各参数优化,提高了丙烷收率,降低了装置能耗,具有很好的经济性和应用前景。 

Abstract:

Objective Improve the recovery rate of natural gas light hydrocarbon and reduce production energy consumption in Nanpu combined station. Methods A model is established based on HYSYS simulation software. The key parameters such as pressurization unit, refrigeration separation unit and light hydrocarbon fractionation unit of light hydrocarbon recovery process are analyzed by single factor, and the value range of each single-factor is obtained. According to the value range of each single factor, the response surface analysis method is used to optimize the parameters with the minimum specific power consumption of the system recovery unit as the objective function, and determine the best combination of multi-factor key parameters. Results Compared with the actual production, the optimized process increases the propane yield by 5.62%, the liquefied gas yield by 3.53%, the product specific power consumption is reduced by 0.91%, and the total energy consumption of the light hydrocarbon recovery unit is reduced by 2.46%. Conclusion sThe response surface analysis method is used for multi-parameter optimization of natural gas light hydrocarbon recovery, which improves the propane yield and reduces the energy consumption of the unit, and has good economy and application prospect.