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Dynamic optimization of an Intensive Energetically Integrated Large-Scale Process

机译:集约化动力集成大型过程的动态优化

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In this work we propose a first principles dynamic optimization model for an intensivernenergetically integrated process, a natural gas processing plant, within a simultaneousrndynamic optimization framework. We have developed rigorous models, includingrnthermodynamics with a cubic equation of state, for separation tanks, distillationrncolumns, turboexpanders and cryogenic countercurrent heat exchangers with partialrncondensation. The resulting partial differential algebraic equation system is transformedrninto an ordinary differential algebraic equation one (DAE) by applying the method ofrnLines for the spatial coordinate. The high integration between process units as well asrnpath constraints have been efficiently handled by a simultaneous dynamic optimizationrnapproach in which the DAE is transformed into a large nonlinear programming problemrnthrough orthogonal collocation over finite elements in time and solved with an interiorrnpoint algorithm. In the case study, we maximize ethane recovery under a ramp changernin natural gas feed flowrate. The model provides temporal and spatial profiles ofrncontrolled and manipulated variables that are in good agreement with plant data.
机译:在这项工作中,我们在同步动态优化框架内为集约化能源集成过程(天然气加工厂)提出了第一个原理动态优化模型。我们针对分离罐,蒸馏塔,涡轮膨胀机和部分冷凝的低温逆流换热器开发了严格的模型,包括具有三次状态方程的热力学。应用空间线方法,将所得的偏微分代数方程组转化为一个常微分代数方程组(DAE)。通过同时动态优化方法,可以有效地处理过程单元之间的高度集成以及路径约束,在这种方法中,DAE通过在有限元素上进行正交配置,被及时转换为大型非线性编程问题,并通过内部算法求解。在案例研究中,我们在天然气进料流量的斜率变化下最大限度地提高了乙烷的回收率。该模型提供了与植物数据非常吻合的受控和可控变量的时空分布图。

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