基于随机规划的炼厂氢网络改造设计

Hydrogen network retrofit design in refinery based on stochastic programming

氢气是炼油企业重要的战略资源。越来越多的炼油企业开始改造其氢网络以应对日趋严格的环保标准和产品质量。炼厂的氢气产耗量受原油供应和产品需求的变化而随机波动,这使得传统的确定性模型无法有效描述氢网络设计问题。本文针对氢网络的改造设计问题,建立了同时考虑设计和调度问题的集成优化模型。采用基于场景的二阶段随机规划方法表达氢网络运行中的不确定因素,通过将决策变量分为一阶和二阶决策变量,优化计算使第一阶段决策成本与第二阶段决策的期望成本之和最小。算例表明了本文所提方法的有效性和与传统的确定性方法相比的优越性。

Hydrogen is an important utility in refineries. More and more refineries start retrofitting their hydrogen networks to meet the more strict environmental regulation and product standards. The production and consumption of hydrogen fluctuate with crude oil supply and product demand. Consequently, the traditional deterministic design methods are not enough to deal with such retrofit problems. In this paper, an integrated model that considered design and scheduling together was established. Two-stage stochastic programming based on scenario was proposed to handle these uncertainties. Decision variables were divided into first-stage variables and second-stage variables, to minimize the summary cost of first-stage and second-stage. Example study demonstrated the effectiveness of the method as compared with the traditional deterministic method.