The steam reforming reaction to generate hydrogen from natural gas takes place at high temperatures. Conventional rigorous reactor modeling requires a temperature profile of the process fluid, which is difficult to estimate or measure. Using the latest First Principles Driven Hybrid Models, it was found that a relatively simple model can accurately represent a wide range of plant data. In this presentation, the methodology of first principles driven Aspen Hybrid Models, the importance of data conditioning, comparison with conventional methods and potential benefits are all discussed.  

In this presentation from OPTIMIZE™ 21, Nissan Chemicals discusses the methodology of first principles driven Aspen Hybrid Models, the importance of data conditioning, and comparison with conventional methods and potential benefits.