首页|基于NSGA-Ⅱ算法的TEG脱水工艺能耗分析及参数优化

基于NSGA-Ⅱ算法的TEG脱水工艺能耗分析及参数优化

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为满足天然气脱水工艺中干气露点达标和能耗优化要求,以某气田集气站为例,采用ASPEN Hysys软件搭建天然气脱水工艺流程,根据实际运行参数筛选影响脱水系统能耗的工艺参数,利用BBD实验设计建立多目标回归函数,并采用第二代自适应非支配遗传算法(NSGA-Ⅱ)对函数进行求解,最后与Hysys自带的优化器求解算法进行了对比.结果表明:TEG循环量、重沸器温度和汽提气量对能耗的敏感性较强;通过分析Pareto前沿,当优化前后水露点接近的条件下,等量功比优化前降低了4.18%;当优化前后等量功接近的条件下,干气露点比优化前降低了1.92℃;当采用Hysys软件自带的优化器求解时,TEG循环量和汽提气量均有所减小,但重沸器温度未得到优化.NSGA-Ⅱ算法在能耗降低及参数优化上具有优越性,可以得到全局最优解.
Energy Consumption Analysis and Parameter Optimization of TEG Dehydration Pro-cess Based on NSGA-Ⅱ Algorithm
To meet the requirements of the dew point standard and optimizing energy consumption in the natural gas dehydration process,taking a gas gathering station in a certain gas field as an example,ASPEN Hysys software is used to build the natural gas dehydration process flow.Process parameters af-fecting the energy consumption of the dehydration system are screened based on actual operating param-eters,and a multi-objective regression function is established using BBD experimental design.The al-gorithm of NSGA-Ⅱ is used to solve the function,and finally,the algorithm is compared with the al-gorithm of Hysys optimizer.The results show that TEG circulation rate,reboiler temperature,and stripping gas volume are highly sensitive to energy consumption.By analyzing the Pareto frontier,when the water dew points are close before and after optimization,the equivalent work decreases by 4.18%compared to before optimization.When the equivalent works are close before and after optimization,the dry gas dew point decreases by 1.92 ℃ compared to before optimization.When using the optimizer provided by Hysys software for solving,both TEG circulation rate and stripping gas volume are re-duced,but the reboiler temperature is not optimized.NSGA-Ⅱ algorithm has advantages in energy consumption reduction and parameter optimization,and can obtain the global optimal solution.

NSGA-ⅡTEGnatural gas dehydrationmulti-objective optimization

王润平、杨岳鹏、曹建峰

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渤海钻探第四钻井工程分公司

NSGA-Ⅱ TEG 天然气脱水 多目标优化

国家科技重大专项项目中国石油重大研发项目

2017ZX050642021-KJ-052

2024

油气田地面工程
大庆油田有限责任公司

油气田地面工程

影响因子:0.273
ISSN:1006-6896
年,卷(期):2024.43(1)
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