Optimization of the Pyrolysis Gasoline Hydrogenation Reactor Considering the Hydrogen Network Integration

Abstract

A mathematical model is developed considering the pyrolysis gasoline (pygas) hydrogenation kinetic, the temperature of the second-stage pygas reactor, hydrogen network integration, the variation of catalyst activity and product quality along time. The industrial data is employed to fit the linear equation about the average temperature of the second-stage reactor and operation time of catalyst. The relationship between catalyst activity and operation time is deduced, and the temperature of second-stage reactor is optimized within a certain range with the product quality requirements satisfied, as well as the economic benefit. Case study shows that this model can provide guidance for the design and improvement of pygas hydrogenation process.