具有最小压缩功的氢网络优化设计

炼油厂用氢装置多在高压下操作,为此配置有很多新氢和循环氢压缩机用于提升氢气流股的压力,从而消耗大量的压缩功,同时大量地增加了炼油厂的操作费用。因此,氢网络的优化,除了需要优化氢气公用工程的用量,减少整个网络的压缩功也十分重要。本文借鉴邻近算法的思想,进一步考虑压力约束,提出了改进邻近算法以及压力-浓度图,能够设计具有最小压缩功的氢网络。案例分析所求得的最小压缩功为16.435 MJ,压缩机数目为9个,比文献优化结果减少两个。

Optimal design of hydrogen network with minimum compression work

Hydrogen consuming units in refineries are operated in high pressure, thus some makeup hydrogen and recycle hydrogen compressors are utilized to increase the pressure of hydrogen streams. It leads to a large increase on compression work and operating cost. Therefore, except for the minimizing the flowrate of hydrogen utility, it is extremely important to reduce the compression work when optimizing hydrogen network. In this paper, based on the concept of the nearest neighbors algorithm, pressure constraints are taken into consideration, a novel nearest neighbors algorithm as well as pressure-impurity concentration diagram are proposed to design hydrogen network with minimum compression work. The results for the case study show that the minimum compression work achieves 16.435 MJ, and the number of compressor is nine which is two less than that in the literature.