摘要
本设计中天然气处理量为100万m^(3)/d,处理量较小,属于调峰型天然气液化厂,常采用小型LNG液化流程。液化厂中小型液化装置流程主要有以下两大类:单混合制冷剂流程和各类膨胀流程,如二级氮膨胀液化流程、N_(2)-CH_(4)膨胀液化流程、开式膨胀液化流程。二级氮膨胀液化流程简单、设备数量少,本设计主要利用Aspen Hysys搭建出二级氮膨胀液化静态模拟流程,并基于Matlab工具箱中的遗传算法对液化流程的能耗、液化率进行优化。经过130次迭代,模拟计算出优化变量最优值,流程优化前比功耗0.7041,液化率为0.9515,优化后比功耗0.5403,液化率为0.9515,优化前后比功耗降低28.37%。
The natural gas processing capacity in this design is 1 million m^(3)/d,and the processing capacity is small,which belongs to the peak-shaving natural gas liquefaction plant.Peak-shaving natural gas liquefaction plants often use small-scale LNG liquefaction processes due to their small processing capacity.There are two main types of processes suitable for small liquefaction units:single-mix refrigerant process and various expansion processes,such as secondary nitrogen expansion liquefaction process,N_(2)-CH_(4)expansion liquefaction process,open expansion liquefaction process.In this design,Aspen hysys is mainly used to build a static simulation process of secondary nitrogen expansion liquefaction,and the energy consumption and liquefaction rate of the liquefaction process are optimized based on the genetic algorithm in the Matlab toolbox.After 130 iterations,the optimal value of the optimization variables was simulated and calculated.The specific power consumption before process optimization was 0.7041,the liquefaction rate was 0.9515,the specific power consumption after optimization was 0.5403,and the liquefaction rate was 0.9515.The specific power consumption before and after optimization was reduced by 28.37%.
作者
袁杨
杨硕
曲增民
Yuan Yang;Yang Shuo;Qu Zengmin(Shanghai LNG Co.,Ltd.,Shanghai 200000,China;PetroChina Natural Gas Sales Shandong Branch,Jinan 250000,China;Housing and Urban Rural Development Bureau of Dongying District,Dongying City,Dongying 257100,China)
出处
《山东化工》
CAS
2024年第1期214-216,223,共4页
Shandong Chemical Industry
关键词
天然气液化
二级氮膨胀液化
静态流程模拟
遗传算法优化
natural gas liquefaction
secondary nitrogen expansion liquefaction
static process simulation
genetic algorithm optimization
