Simultaneous Synthesis of Controllable Heat Exchanger Networks
Simultaneous Synthesis of Controllable Heat Exchanger Networks
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DOI：
10.3303/cet1976124
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发表时间：
2019-10
影响因子：
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通讯作者：
Chenying Li;Linlin Liu;Lei Zhang;S. Gu;Jian Du
中科院分区：
文献类型：
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作者：
Chenying Li;Linlin Liu;Lei Zhang;S. Gu;Jian Du
换热网络(HEN)是一种高效的能量回收系统，可以改善工业流程之间的能量集成，从而能够减少公用设施的使用。然而，随着母鸡变得更加一体化，潜在的控制困难可能会显著出现。此外，由于HEN在实际运营中很可能出现不确定性，这些困难将进一步增加。因此，既要保证母鸡的可控性，又要保证母鸡的经济性。然而，以往针对可控母鸡的研究主要集中在网络综合和提高可控性上。它的分步性质限制了寻优能力，因此经常导致全局目标下的次优解。因此，本文提出了一种基于优化的可控HEN同步综合框架，该框架考虑了网络结构和可控性之间的双向通信。该框架基于两阶段策略，将结构综合阶段和决策变量优化阶段耦合起来。在第一阶段，将该结构与所提出的启发式规则相结合，并通过旁路进行更新，从而得到经济、可控的合格母线。在第二阶段，以旁路的位置和比例作为决策变量，它们的优化仍然可以作用于网络结构和控制回路的相互作用，以获得理想的经济性和可控性。通过一个案例研究，验证了该框架的有效性。
The heat exchanger network (HEN) is an efficient energy recovery system to improve the energy integration between industrial process streams and thus able to reduce the use of utility. However, as a HEN becomes more integrated, potential control difficulties may arise significantly. In addition, these difficulties will further increase due to the uncertainty which is very likely to occur in a real operation of HEN. It is therefore crucial to ensure the controllability as well as the economy of HEN. Nevertheless, the previous researches aiming for controllable HENs sequentially addressed the network synthesis and improved the controllability. Its step-wise nature imposes restrictions on optimisation ability, consequently often leads to suboptimal solutions under global objective. Therefore, in this paper, an optimised-based framework is proposed for the simultaneous synthesis of controllable HEN where bidirectional communication between the network structure and the controllability is involved. The framework is based on a two-stage strategy, coupling the structure synthesis stage with the decision variables optimisation stage. In the first stage, the structure is synthesised incorporated with the proposed heuristic rules and renewed by the bypasses, resulting in the economical and controllable qualified HEN. In the second stage, the location and fraction of bypasses are used as the decision variables and their optimisation can still react on the network structure and control loop interaction to gain desirable economy and controllability. A case study is used to illustrate the effectiveness of the proposed framework.