夏丹, 郑云萍, 李剑峰, 任建勋. 丙烷预冷混合制冷剂液化流程用能优化方案[J]. 油气储运, 2015, 34(3): 267-270, 274. DOI: 10.6047/j.issn.1000-8241.2015.03.009
引用本文: 夏丹, 郑云萍, 李剑峰, 任建勋. 丙烷预冷混合制冷剂液化流程用能优化方案[J]. 油气储运, 2015, 34(3): 267-270, 274. DOI: 10.6047/j.issn.1000-8241.2015.03.009
XIA Dan, ZHENG Yunping, LI Jianfeng, REN Jianxun. Optimization of energy consumption in liquefaction process of mixed refrigerant for propane pre-cooling[J]. Oil & Gas Storage and Transportation, 2015, 34(3): 267-270, 274. DOI: 10.6047/j.issn.1000-8241.2015.03.009
Citation: XIA Dan, ZHENG Yunping, LI Jianfeng, REN Jianxun. Optimization of energy consumption in liquefaction process of mixed refrigerant for propane pre-cooling[J]. Oil & Gas Storage and Transportation, 2015, 34(3): 267-270, 274. DOI: 10.6047/j.issn.1000-8241.2015.03.009

丙烷预冷混合制冷剂液化流程用能优化方案

Optimization of energy consumption in liquefaction process of mixed refrigerant for propane pre-cooling

  • 摘要: 基本负荷型天然气液化装置中,丙烷预冷混合制冷剂液化流程(C3/MRC)应用最为广泛。对该流程的热力学分析显示,流程能耗的主要影响因素为混合制冷剂的压力及组成。为了降低天然气液化流程能耗,采用化工过程模拟软件HYSYS建立了丙烷预冷混合制冷剂液化流程(C3/MRC)模型。以LNG比功耗为目标函数,以高压制冷剂压力、低压制冷剂压力及制冷剂的组成为决策变量,对该液化流程进行优化,得到了各自的最优值及相应的流程参数。通过比较优化前后的流程参数值,发现在保证天然气液化率及LNG产品质量不变的情况下,优化后所需的制冷剂流量降低12.1%,LNG比功耗降低22.9%,提高了经济效益。

     

    Abstract: The C3/MRC process, i.e. liquefaction process of mixed refrigerant for propane pre-cooling, is most popular in basic-load natural gas liquefaction unit. Through thermodynamic analysis, it is found that pressure and composition of the mixed refrigerant are major factors influencing the energy consumption in the process. To reduce such energy consumption, HYSYS, the simulation software of chemical process, is used to establish the model of liquefaction process of mixed refrigerant for propane pre-cooling. Then, the process is optimized by taking LNG power consumption ratio as the objective function and the pressures of high pressure refrigerant and low-pressure refrigerant and the composition of the refrigerant as the decision variables, and optimal values of such parameters and corresponding process parameters are obtained. Through comparing the process parameters before and after the optimization, it is found that, given the constant natural gas liquefaction rate and LNG product quality, the required refrigerant flow is reduced by 12.1% and the LNG power consumption ratio is reduced by 22.9% after the optimization, indicating higher economic efficiency.

     

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