石油与天然气化工2017，Vol.46Issue(2)：48-52,5.DOI:10.3969/j.issn.1007-3426.2017.02.010
基于粒子群算法优化LNG(C3-MR)流程的研究
Particle swarm optimization of the parameters for C3-MR process of LNG
摘要
Abstract
Propane pre-cooled mixed refrigerant (C3-MR) process is the most widely used process for LNG production.Nonlinear optimization of the process depends on process variables and algorithm.The refrigerant components, flow rate and process pressure of the C3-MR process are optimized by HYSYS with particle swarm optimization (PSO) embedded in MATLAB.The results show that optimized parameters in PSO converge after 20 iterations for the C3-MR process.The resultant theoretic energy consumption is lower than that obtained by the sequential quadratic programming method (SQP) and BOX method in reported literatures.关键词
LNG/C3-MR/粒子群算法/优化/比功耗Key words
LNG/C3-MR/particle swarm optimization (PSO)/optimization/specific work分类
能源科技引用本文复制引用
宋畅,吕松,伍勇..基于粒子群算法优化LNG(C3-MR)流程的研究[J].石油与天然气化工,2017,46(2):48-52,5.基金项目
四川省科技支撑计划"LNG液化、气化关键技术装备研发与产业化"(2015GZ0023). （2015GZ0023）
