SimSci Optimization solutions monitor performance, control and obtain peak performance to deliver the maximum benefit in large and complex process plants where the scale and complexity requires formal solutions.
- Advanced Process Control (APC) software uses both realtime and historical data to analyze, identify, and model the significant cause-and-effect relationships in a process. SimSci APC uses this information to reduce variations in the process, allowing for operation much closer to the operation limits which improves process profitability.
- Process Optimization software uses real-time process and economic data to determine set points that guarantee maximum operating profit while satisfying all regulatory requirements. ROMeo employs first principle simulation techniques with proven data reconciliation and optimization technologies to provide maximum, sustainable plant performance and increased return on investment.
Engineers can use a validated model to continually evaluate and improve processes with respect to their efficiency, effectiveness and flexibility, thus reducing overall risk and boosting profitability. Access to key performance data, in a timely manner, improves performance and competitiveness through better operational decision-making and new insights into optimization potentials.