DMR工艺参数优化新方法探究  被引量:5

Study on new method of DMR process parameter optimization

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作  者:肖荣鸽 魏王颖 杨奕 刘国庆 庞琳楠 XIAO Rongge;WEI Wangying;YANG Yi;LIU Guoqing;PANG Linnan(Shaanxi Key Laboratory of Advanced Stimulation Technology for Oil&Gas Reservoirs,College of Petroleum Engineering,Xi’an Shiyou University,Xi’an 710065,Shaanxi,China)

机构地区:[1]西安石油大学石油工程学院陕西省油气田特种增产技术重点实验室,陕西西安710065

出  处:《天然气化工—C1化学与化工》2022年第6期162-168,共7页Natural Gas Chemical Industry

基  金:西安市科技计划高校人才服务企业项目(22GXFW0106);陕西省科技厅重点研发计划(2021GY-139);西安石油大学研究生创新与实践能力培养计划(YCS21113102)。

摘  要:为了降低双循环混合制冷剂液化工艺(DMR)流程的能耗,采用Aspen HYSYS软件构建优化模型,结合KBO法和Aspen HYSYS优化器中的BOX算法进行DMR流程的优化模拟。首先使用KBO法优化了混合制冷剂中各组分的流量和配比(物质的量分数),再利用内部优化器进行了循环工作压力以及其他参数的优化,达到了降低流程能耗,提高系统(火用)效率以及降低天然气液化成本的目的。结果表明,优化后系统的单位质量天然气的液化能耗,即比能耗为311.14 kW·h/t,液化(火用)效率为39.68%。目前国内陕西安塞和山东泰安液化天然气工厂均采用DMR流程,其液化(火用)效率分别为35.00%和37.80%,由此可见本研究的液化(火用)效率明显提高。In order to reduce the energy consumption of dual-cycle hybrid refrigeration and liquefication(DMR)process,Aspen HYSYS software was used to build an optimization model,and KBO method and BOX algorithm in Aspen HYSYS optimizer were combined to carry out the optimization simulation of DMR process.Firstly,KBO method was used to optimize the flow rate and ratio(mole fraction)of each component in mixed refrigerants,and then the internal optimizer was used to optimize the circulating working pressure and other parameters,so as to reduce the energy consumption,improve the system exergy efficiency and reduce the cost of natural gas liquefaction.The results show that the liquefied energy consumption per unit mass of natural gas in the optimized system,namely,the specific energy consumption is 311.14 kW·h/t,and the exergy efficiency is 39.68%.At present,both domestic liquified natural gas(LNG)plants of Ansai in Shaanxi Province and Tai’an in Shandong Province adopt DMR process,and their liquified exergy efficiency is 35.00% and 37.80% respectively,indicating that the liquified exergy efficiency of this study is obviously improved.

关 键 词:DMR KBO法 BOX算法 能耗 液化(火用)效率 

分 类 号:TQ221.13[化学工程—有机化工]

 

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