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.
关键词
NSGA-Ⅱ/TEG/天然气脱水/多目标优化
Key words
NSGA-Ⅱ/TEG/natural gas dehydration/multi-objective optimization
万方数据