Hydrogen is an important raw material for fuel and other chemical products in refineries. Hydrogen consumption can be reduced through a hydrogen recovery system known as a hydrogen network (HN). Optimizing the HN, particularly concerning compressor arrangements, has been consistently been challenging. To achieve a simultaneous solution, traditional research often necessitates structural simplifications in modeling, which excludes many alternative compressor layouts and potentially results in suboptimal solutions. To address this problem, this work proposes a HN model considering the group cascade layout of compressors, which accounts for a wide array of potential scenarios involving up to three compressors connected in series. A new optimization-based two-stage solution strategy is correspondingly introduced to assist the simultaneous HN synthesis, which also makes the issues with uncertain pressures solvable. The performance of this method has been demonstrated to be exceptional across all three studied cases. The optimal results of the first two cases exhibit a compressor cost saving of 2%–3% and the shortest solution time compared with recent studies. The final case illustrates that this model is capable of addressing the issues involving the process unit pressure optimization.

中文翻译：

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考虑压缩机群级联布局的氢网络合成高效求解策略


氢气是炼油厂燃料和其他化学产品的重要原材料。可以通过称为氢网络 （HN） 的氢回收系统来减少氢消耗。优化 HN，尤其是压缩机布置，一直具有挑战性。为了实现同步解决方案，传统研究通常需要在建模中简化结构，这排除了许多替代压缩机布局，并可能导致次优解决方案。为了解决这个问题，这项工作提出了一个考虑压缩机组级布局的 HN 模型，该模型考虑了涉及多达三个串联压缩机的广泛潜在场景。相应地引入了一种新的基于优化的两阶段求解策略来协助同步 HN 合成，这也使不确定压力的问题可以解决。该方法的性能在所有三个研究案例中都被证明是出色的。与最近的研究相比，前两种情况的最佳结果表明，压缩机成本节省了 2%–3%，并且求解时间最短。最后一个案例表明，该模型能够解决涉及工艺单元压力优化的问题。