Schneider Electric has released a new technology roadmap designed to streamline the global roll-out of e-methanol production, signalling a shift in how refiners may integrate alternative feedstocks and power systems ...

Refinery operators are increasingly using digital-twin platforms, combining real-time sensor data, historical process analytics, and predictive models to optimise unit operations. The latest wave of systems links feedstock quality, downstream ...

A new research framework combining reinforcement learning (RL) and model decomposition is gaining attention as a transformative tool for refinery scheduling and planning. The method splits complex refinery decision problems ...