Aspen RTO™

Plant-wide, real-time, closed-loop profit optimization

Aspen RTO provides a comprehensive solution to the challenge of optimizing process profitability, determining the optimal targets for individual process units and considering the conditions across the entire process. It provides robust convergence for real-time solutions with models detailed enough to address true unit economics. Aspen RTO is a core element of AspenTech’s aspenONE™ Advanced Process Control applications.

Features

Profit-based process optimization using large-scale, open-form model equations based on weighted, user-defined objectives
Determines optimal targets for the process units
Can incorporate third-party models, such as models of reaction systems
Allows user-proprietary models to be easily included in the real-time optimizer to further leverage past investment and expertise
Frequent optimization cycles
- 4-12 executions per day
- Model calibrated to the plant each run
- Uses current economics and constraints
Model library enables rigorous modeling of petroleum refining, petrochemical, and chemical processes
Simplified model maintenance promotes sustainable operation and higher on-stream factors
Industry-proven SQP solvers provides increased robustness and improved diagnostics
Runs on economical, industry-standard Intel platforms with Microsoft® Windows 2000, Windows XP, and Windows 2003 Server operating systems
Optimization can run unattended with no engineer or operator intervention required
Can be configured to run in either open-loop, sending results to the plant information system or DCS, or closed-loop, sending optimal targets to the lower-level advanced control strategy

Benefits

Directly improve operating profitability:
- Increased plant throughput
- Reduced energy consumption
- Improved product quality
- Increased yields of more valuable products
Enhance information sharing with:
- Supply Chain, Planning & Scheduling processes
- Advanced Process Control processes
- Operations & Engineering Management
Leverage the online model with:
- Case studies, debottleneck studies
- Starting point for dynamic modeling
- Validate APC models
- Generate/validate additional inferred quality constraints for APC strategy

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