LNG加气站管路布局多目标优化研究

针对液化天然气(Liquefied natural gas,LNG)加气站管路具有常温安装,低温、内压、大范围温度波动下运行的特点,为降低管路建设与运行成本、提高安全性,提出了一种基于非支配解排序多目标遗传算法的LNG管路布局优化设计方法。该方法通过引入传递矩阵法建立简化模型,实现对管路受力变形情况的快速有效分析,进而可对管路进行综合评价。为了在符合工程规则的前提下完成最小化长度、弯头数、流阻损失以及受力变形的管路布局,基于遗传算法建立了LNG管道优化模型,使用多目标优化方法得出了在路径短、能耗低、安全性高等方面达到帕累托最优的布局方案。最后,在不同工况下对优化所得管路布局方案进行热-结构耦合分析,以确保其能够安全可靠运行,并验证该方法的正确性及有效性。

Research on Multi-objective Optimization of Pipeline Layout of LNG Refueling Station

Liquefied natural gas(LNG) refueling station pipelines are installed at ambient temperature and served under low temperature, internal pressure, and a wide range of temperature fluctuations. An optimal design method is proposed for LNG pipeline layout based on a non-dominated solution sorting multi-objective genetic algorithm to reduce pipeline construction and operation costs and improve safety. In this method, a simplified model is established by introducing the transfer matrix method, which can realize the rapid and practical analysis of the stress and deformation and then conduct a comprehensive evaluation of the pipeline. In order to complete the pipeline layout that minimizes the length, the number of elbows, the loss of flow resistance, the stress, and the deformation under the premise of conforming to the engineering rules, an optimization model for LNG pipeline is established based on genetic algorithm. The multi-objective optimization method is used to obtain the Pareto optimal layout scheme in terms of the short path, low energy consumption, and high safety. Finally, thermal-structural coupling analysis is carried out on the optimized pipeline layout scheme under different working conditions to ensure its safe and reliable operation and verify the method's correctness and effectiveness.