Optimal cryogenic processes for nitrogen rejection from natural gas

被引：31

作者：

Hamedi, Homa ^{[1
]}

Karimi, Iftekhar A. ^{[1
]}

Gundersen, Truls ^{[2
]}

机构：

[1] Natl Univ Singapore, Dept Chem & Biomol Engn, 4 Engn Dr 4, Singapore 117585, Singapore

[2] Norwegian Univ Sci & Technol, Dept Proc & Energy Engn, Kolbjorn Hejes V 1A, NO-7491 Trondheim, Norway

来源：

COMPUTERS & CHEMICAL ENGINEERING | 2018年 / 112卷

关键词：

Cryogenic distillation; Cryogenic separation; Natural gas processing; Nitrogen-methane separation; Nitrogen removal; PARTICLE SWARM; EXERGY ANALYSIS; OPTIMIZATION; REMOVAL; PLANT; ALGORITHMS; DESIGN;

D O I：

10.1016/j.compchemeng.2018.02.006

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Nitrogen rejection processes are usually needed for two natural gas sources: sub-quality natural gas reserves and produced gas from enhanced oil/gas recovery technologies. The nitrogen content of natural gas in the former is usually constant during the project lifetime, but it varies from 5 to 70% during enhanced oil/gas recovery programs. This variation leads to different process flowsheets for nitrogen removal: single-column, double-column, three-column, and two-column processes. In order to determine which configuration is more suitable for a particular nitrogen content in a feed stream, we must minimize the energy requirement for each process. In this study, we merge all the four configurations into two categories: single-column and multi-column processes and then use the Particle Swarm Optimization algorithm to optimize process parameters for each process with the objective of energy consumption minimization. Finally, we use the exergy concept to analyze theoretically these different processes. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：101 / 111

页数：11

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