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.