Optimal Design of an Integrated Radiant Syngas Cooler and Steam Methane Reformer using NLP and Meta-heuristic Algorithms

In this study, optimal designs for a novel integrated radiant syngas cooler and steam methane reformer are explored. Previously, feasible base-case designs were established but were sub-optimal given the complexity of the model that included more than 200,000 equations. The two optimization approaches used in this study include: (i) conventional non-linear programming solvers (within gPROMS) and (ii) meta-heuristic techniques (Differential …