Real-time reconciled simulation as decision support tool for process operation

Decision support tools in the process industry have been gaining relevance, especially for operation under uncertain conditions. This study describes real-time reconciled simulation (RTRS), and analyzes its usefulness as decision-making tool operators, unexpected changes. The proposed methodology is implemented two case studies context of an oil refinery hydrogen network, where both plant network levels are considered. A what-if analysis conducted on studies, assessing feasible mitigation actions each baseline condition. focus discussion is, nevertheless, itself general features decision tool. relative error RTRS estimation states parameters, considering unmeasured disturbances, satisfactory aligned with industrial standards online measurements. In terms actions, these assessed regards to economic impact system question. It shown how at level may be disadvantageous when facing demand changes, compared network-wide actions. At level, it pointed out importance purification units, prevailing over make-up change. highlighted fact that complements a straightforward manner other control such model predictive controllers (MPC) optimizers (RTO). Therefore, add any framework open-loop component parameter forecasting capabilities. Moreover, potential training integration within packages discussed. Future directions research commented fully integrated frameworks, including RTRS, MPC RTO. Additionally, relate digital twins, example suitable architecture introduced, role enterprise-wide solutions commented. • Real-time processes enhances making Embedding state-estimation aids operation. optimization provides useful initialization state-estimation. Efficient combination layers adds