This is an advanced course for experienced PIMS users. Learn to debug recursion structure and problems. Address Mixed Integer Situations using Aspen PIMS MIP capabilities. Apply Aspen Blend Model Library and other blending techniques to model rigorous blending. Troubleshoot modeling and convergence problems and learn PIMS?s non-linear functionalities to perform Solution Analysis. Manage local optima problems.
The participant should have a good understanding of optimization and Aspen PIMS. Typically, participants have many years of optimization experience and are concerned with the more detailed aspects of the system. Many participants have taken RPA101 Aspen PIMS: Introduction to Refinery Planning and RPA201 Aspen PIMS: Solving Refinery Planning Problems and want to learn about additional techniques used to model difficult planning problems.
Must have attended RPA201 Aspen PIMS: Solving Refinery Planning Problems plus extensive experience using Aspen PIMS.
- Debug properties recursion and error distribution structure and problems
- Address Mixed Integer Situations using Aspen PIMS MIP capabilities
- Apply Aspen Blend Model Library and other blending techniques to model rigorous blending
- Troubleshoot and solve modeling and convergence problems using Aspen PIMS reports and tools
- Model special situations that require non-standard structure
- Use Aspen PIMS’s non-linear functionalities
- Perform Solution Analysis using Aspen PIMS-Advanced Optimization tools
- Manage local optima problems in the DR and AO environments
Contaminant Removal without PCALC
- Discuss common modeling techniques
- Discuss using nonlinear formulas instead of PCALC
- Workshop: Model a Hydrodesufurization Unit without PCALC
Quality Dependent Capacities
- Discuss feed quality considerations and associated Aspen PIMS structure
- Workshop: Quality Dependent Capacity
Aspen PIMS Simulator Interface
- Identify and explain the Aspen PIMS Simulator Interface (SI)
- Discuss simulator execution requirements
- Workshop: Model an Aniline Improver
Multiple Paths
- Discuss how Aspen PIMS recognizes and resolves multiple paths
Introduction to Aspen PIMS Advanced Optimization
- Introduce Aspen PIMS Advanced Optimization capabilities
Aspen PIMS Advanced Optimization: XNLP and XSLP
- Explain Advanced Optimization and XSLP
- Convert DR model to XNLP
Aspen PIMS Advanced Optimization: Solution Analysis
- Discuss solution analysis tools
- Complete the workshop: Solution Analysis
Aspen PIMS Advanced Optimization: Global Optimization
- Discuss global optimization methods
Aspen PIMS Advanced Optimization: Nonlinear Formula Facility
- Discuss nonlinear formulas in Aspen PIMS Advanced Optimization
External Models in Aspen PIMS Advanced Optimization
- Review old ways of adding nonlinear models:
- Generalized nonlinear recursion (NONLIN/CURVE)
- SI (Simulation Interface)
- Introduce new ways of nonlinear modeling:
- Nonlinear Equations
- External Models
High Performance Computing
- Use new XLP Matrix Generator functionality
- Use Parallel Processor architecture for running multiple cases and Global Optimization Multistart
