Enhancing chemical process design and operation through modeFRONTIER: case studies from NEXTCHEM

Chemical plants exhibit a high degree of complexity, governed by numerous independent variables and non-linear interdependencies. Consequently, optimizing these systems represents a multidimensional problem that demands advanced computational platforms. Over the past two years, NEXTCHEM has explored the application of modeFRONTIER to address these challenges across different phases of the project lifecycle. modeFRONTIER enables design-phase optimization, where process parameters can be systematically tuned to maximize efficiency and yield. A notable example is its use in the development of a Sustainable Aviation Fuel (SAF) production project, where multi-objective optimization was employed to balance conversion efficiency, energy consumption, and product quality. Beyond design, modeFRONTIER also proves valuable in the operational phase, particularly for systems subject to dynamic conditions. For instance, NEXTCHEM has demonstrated the feasibility of using modeFRONTIER to support real-time decision-making and operational strategies in green ammonia production powered by intermittent renewable energy sources, ensuring stability and optimizing performance under fluctuating inputs. These use cases demonstrate how advanced optimization frameworks like modeFRONTIER can significantly enhance both process design and operation in complex chemical systems.