Dynamic Simulation Applied to Refinery Hydrogen Networks

This study analyses the usefulness of process network dynamics simulation for decision-making in refinery hydrogen networks. A theoretical hydrogen network of three desulphurisation plants is modelled, and three case scenarios discussed: baseline, high demand, and low demand. Discussion focuses on how the information from the simulation is interpreted and its usefulness for debottlenecking, scheduling and what-if analysis. Stress is put on dynamics of the system and their consequences in process operation throughout the network. Hydrogen purity is highlighted as the most affected variable, and discussed its network wide effect. In addition, the responses of inflows, outflows and headers are analysed. Although the model used is a simplified representation of the actual processes, the simulation analysis showed potential as decision-making support not provided with steady state models. Further researches based on real case-studies should be conducted to better conclude on the efficient usage of simulation in aiding refinery hydrogen networks operational decisions.