天然气膜分离脱碳与LNG轻烃回收联产工艺设计及优化

Design and optimization of integrated membrane separation for natural gas decarbonization and light hydrocarbon recovery from LNG

  • 摘要:
    目的 采用二级膜分离工艺对天然气进行脱碳处理具有较好的脱碳效果与经济性,但膜分离器需要大量的冷却设备、能耗较高,且脱碳后的天然气轻烃体积分数增大;同时,对天然气进行轻烃回收,既可减少能源浪费,又能够减少冷却设备数量。
    方法 提出了天然气膜分离脱碳与LNG轻烃回收联产工艺,利用HYSYS软件对单一工艺与联产工艺分别进行模拟,发现联产工艺相较单一工艺具有能耗低的优势。根据模拟结果,在工艺优化部分对影响联产工艺的综合能耗、渗余气的CO2体积分数、甲烷体积分数以及C2+ 回收率等关键参数进行对比分析。以综合能耗最低为优化目标,采用BBD(Box-Behnken Design)响应面法建立回归方程,利用遗传算法对回归方程进行优化及求解,得到最终优化结果。
    结果 与单一工艺相比,联产工艺具有较的低能耗,其综合能耗下降了2 364 kW,渗余气的CO2体积分数降至1.48%,且甲烷体积分数、甲烷产量分别达到98.55%、5 422 kmol/h。同时,一级膜面积、二级膜入口温度、二级膜面积、分离器2入口温度等关键参数对联产工艺的综合能耗、脱碳效率、轻烃回收效果存在较大影响。经过模型求解优化后,得到最终的优化结果为:一级膜、二级膜的膜面积均为11 200 m2,二级膜、分离器2的入口温度分别为40 ℃、−103 ℃。
    结论 天然气膜分离脱碳与轻烃回收联产工艺的设计充分利用了LNG接收站的LNG冷量,在降低工艺能耗的同时,保证了天然气的脱碳净化与轻烃回收两种工艺的同步进行,既可实现设备与资源的最大化利用,也为绿色可持续发展的工业化应用提供了新的解决思路。

     

    Abstract:
    Objective The use of two-stage membrane separation process for decarbonization treatment of natural gas has good decarbonization effect and economy. However, the membrane separators necessitate a considerable amount of cooling equipment and result in increased energy consumption. Additionally, the volume fraction of light hydrocarbons in natural gas increases after decarbonization. Recovering light hydrocarbons from the decarbonized natural gas can help reduce energy waste and minimize the need for cooling equipment.
    Methods This paper proposes an approach that integrates membrane separation for natural gas decarbonization and light hydrocarbon recovery from LNG. HYSYS software was utilized to simulate both the single processes and the integrated processes, revealing the advantage of lower energy consumption in the integrated scenario compared to the single-process scenarios. Subsequent process optimization was conducted based on the simulation results, involving a comparative analysis of key parameters affecting process integration, such as comprehensive energy consumption, the volume fraction of CO2 in the retentate gas, the volume fraction of methane, and the C2+ recovery rate. With the objective of minimizing comprehensive energy consumption, the Box-Behnken Design (BBD) response surface method was employed to establish a regression equation. A genetic algorithm was then used to solve this regression equation, ultimately yielding the optimized parameters.
    Results Compared to the single-process scenarios, the integration of the processes resulted in lower energy consumption, specifically reducing comprehensive energy consumption by 2 364 kW. The volume fraction of CO2 in the retentate gas decreased to 1.48%, while the volume fraction and output of methane reached 98.55% and 5 422 kmol/h, respectively. Additionally, key parameters such as the primary membrane area, secondary membrane inlet temperature, secondary membrane area, and separator 2 inlet temperature were identified as influential factors affecting the comprehensive energy consumption, decarbonization efficiency, and light hydrocarbon recovery of the integrated processes. The final optimization results from solving the model are as follows: a primary membrane area of 11 200 m2, a secondary membrane area of 11 200 m2, and inlet temperatures of 40 °C for the secondary membrane and −103 °C for the separator 2.
    Conclusion The design of integrating membrane separation for natural gas decarbonization and light hydrocarbon recovery fully leverages the LNG cooling capacity at LNG terminals. By reducing process energy consumption, this approach facilitates the simultaneous implementation of the natural gas purification process through decarbonization and the recovery of light hydrocarbons, maximizing the utilization of equipment and resources. The study outcomes offer insights into potential solutions for industrial applications focused on green and sustainable development.

     

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