具有压力约束的多杂质氢气分配网络优化

Optimization of hydrogen distribution network with multiple impurities and pressure constraints

高硫劣质原油的加工比例逐渐增加,环保标准对油品中硫含量和芳烃含量的要求愈发严格,炼油厂氢气的需求量急剧增加,优化氢气分配网络,节约氢气公用工程用量势在必行。本文建立具有压缩机配置的氢气分配网络优化超结构模型,以最小氢公用工程用量为目标函数,构建考虑多杂质和压力约束以及压缩机配置的数学规划模型,使用商业优化软件GAMS平台建模,并利用全局优化求解器BARON求解。最后,通过氢气分配网络优化的案例分析,验证了本文所提模型的实用性和可行性。结果表明,在不考虑压缩机及管网等费用的前提下,氢公用工程的用量由17.079×10~3Nm^3·h^(-1)减少到13.293×10~3Nm^3·h^-1,节氢率达到22.17%。

The increasing amount of inferior crude oil with higher sulfur content and tighter environmental regulations on sulfur content and aromatic content, leads to the increasing demand for hydrogen in oil refineries. Hence, the optimization of hydrogen distribution network and reduction of the hydrogen utility becomes more and more important. In this paper, a hydrogen distribution network superstructure incorporated with compressors was built. The corresponding mathematical model is formulated with the minimum hydrogen utility as the objective and the multiple impurities and pressure constraints are considered. Commercial optimization sofrware GAMS modeling platform is used to model it and global optimization solver BARON is used to solving it. Finally, a hydrogen distribution network is optimized and the hydrogen utility is reduced from 17.079× 103 Nm3.hq to 13.293× 103 Nm3.hl. The hydrogen conservation ratio achieves 22.17 % without considering the cost of compressor and pipelines. The feasibility and effectiveness of the proposed model is validated.