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Dynamic optimization for gas blending in pipeline networks with gas interchangeability control
AIChE Journal ( IF 3.7 ) Pub Date : 2020-01-13 , DOI: 10.1002/aic.16908
Kai Liu 1 , Saif R. Kazi 2 , Lorenz T. Biegler 2 , Bingjian Zhang 1 , Qinglin Chen 1
Affiliation  

The increasing penetration of unconventional gas and liquefied natural gas poses an operational challenge on existing regional gas networks for gas quality problems. A new dynamic model for natural gas pipeline network with multiple supplies is presented with a special emphasis on gas interchangeability control. Wobbe index serves as gas interchangeability indicator and is calculated by equations derived from rigorous composition‐based partial differential equations. Disjunctive formulation is applied to represent different modes of gas blending due to gas reversal, and the disjunctive model is then reformulated as a nonsmooth model with min/max and absolute value functions, which is solved by a gradient‐based nonlinear program solver after smooth approximation. Moreover, a heuristic algorithm is proposed to tune the penalty parameters in order to focus on different penalty terms while keeping the model well‐conditioned. The developed model and strategy are first tested with a small pipeline network model and then extended to a large model. The results show that the model can effectively manage gas interchangeability issues in pipeline networks within reasonable CPU time.

中文翻译:

具有气体互换性控制的管网气体混合动态优化

非常规天然气和液化天然气的日益普及对天然气质量问题的现有区域性天然气网络构成了运营挑战。提出了一种新的天然气管道网络的动态模型,该模型具有多个供应,特别强调了气体互换性控制。Wobbe指数用作气体可交换性指标,并通过基于严格的基于成分的偏微分方程式导出的方程式进行计算。应用析取公式来表示由于气体逆转而引起的气体混合的不同模式,然后将析取模型重新构造为具有最小/最大值和绝对值函数的非光滑模型,在平滑逼近之后由基于梯度的非线性程序求解器对其进行求解。 。此外,提出了一种启发式算法来调整惩罚参数,以便在保持模型良好状态的同时关注不同的惩罚项。首先使用小型管道网络模型测试开发的模型和策略,然后将其扩展到大型模型。结果表明,该模型可以在合理的CPU时间内有效管理管道网络中的气体互换性问题。
更新日期:2020-04-21
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