Cascade refrigeration systems in integrated cryogenic natural gas process (natural gas liquids (NGL), liquefied natural gas (LNG) and nitrogen rejection unit (NRU))

被引:75
|
作者
Ghorbani, Bahram [1 ]
Hamedi, Mohammad-Hossein [1 ]
Amidpour, Majid [2 ]
Mehrpooya, Mehdi [3 ]
机构
[1] KNToosi Univ Technol, Energy Convers Grp, Fac Mech Engn, Tehran, Iran
[2] KNToosi Univ Technol, Energy Syst Grp, Fac Mech Engn, Tehran, Iran
[3] Univ Tehran, Fac New Sci & Technol, Renewable Energies & Environm Dept, Tehran, Iran
关键词
Integration; Mixed fluid cascade (MFC); LNG; NGL; NRU; Exergy; Genetic algorithm; EXERGY ANALYSIS; PROCESS CONFIGURATION; RECOVERY PROCESSES; NLP TECHNIQUES; OPTIMIZATION; LIQUEFACTION; ENERGY; CYCLE; DESIGN; COPRODUCTION;
D O I
10.1016/j.energy.2016.09.005
中图分类号
O414.1 [热力学];
学科分类号
摘要
Heavy components in the natural gas itself can feed downstream units and also due to the low temperature process may be formed solid. Therefore heavy components separation is a necessity and can produce useful products. Virtually all natural gases are containing nitrogen that would lower the heating value of natural gas. This study investigates design and optimization of integrated process recovery of natural gas liquids, natural gas liquefaction, and nitrogen remove unit. In this integrated process, design of low temperature processes is started from the core process and continued by heat exchangers network design and cooling system based on MFC. Design and integration processes of units at the same time reduces the number of required equipment and energy consumption. The results show that the new integrated process has specific power around 0.343-0.33 (kW-h/kg-LNG) and its thermal efficiency equal to 62.82%, compared to other integrated systems have the lowest and highest values. Exergy analysis shows that towers has the highest Exergy destruction among other equipment. Sensitivity analysis shows that the structure of the integrated process capable of removing nitrogen from natural gas at a concentration of between 5% and 15%. By analyzing the operating parameters shows reduction in the Total specific power from 19.5% to 24% and the Specific power from 2.57% to 11%, yet surging in the Ethane recovery from 2.5% to 17%. Sensitivity analysis is the method to identification of the Decision variables, finally Genetic Algorithm used to identify optimum of objective function (minimization of Specific Power) and reduction of it to 6%. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:88 / 106
页数:19
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