1 / 18

Economic Plantwide Control using Commercial Process Simulation Software

Economic Plantwide Control using Commercial Process Simulation Software. Adriana Reyes Lúa. Supervisor: Sigurd Skogestad Co-supervisor: Vladimiros Minasidis. TKP4550 Specialization Project. Fall 2013. Name, title of the presentation. Plantwide Control.

Download Presentation

Economic Plantwide Control using Commercial Process Simulation Software

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Economic Plantwide Control using Commercial Process Simulation Software Adriana Reyes Lúa Supervisor: Sigurd Skogestad Co-supervisor: Vladimiros Minasidis TKP4550 Specialization Project Fall 2013 Name, title of the presentation

  2. Plantwide Control • “Control structure design for complete chemical plants”. • Systematic procedure for the design of an economic plantwide control, based on steady state plant economics. • Top down • Bottom up

  3. Plantwide Control 1. Top-down Step 1: Define operational objectives (economics) and constraints. Step 2: Identify steady state degrees of freedom and determine steady state operation conditions. Step 3: Identify candidate measurements y and select CV1 =Hy . Step 4: Select the location of the throughput manipulator.

  4. Plantwide Control: The Challenge • To be accepted and used in industry, the procedure: • must result in processes with near optimal operation • should not employ complex control technology. • Proposed solution: • Develop an automated procedure. • Use of commercial process simulators? • Intuitive • Widely used • Pre-loaded information • Design mode vs. operation mode. • Poor numerical properties. • Not standardized.

  5. Objective To explore the use of commercial process simulators to generate process models suitable for an automated economic plantwide control procedure.

  6. Methanol Plant • Reactor, a separator, and a recycle stream with purge Scheme of a methanol plant (Løvik,2001)

  7. Methanol Plant 4 steady state degrees of freedom

  8. Methanol Plant Simulation

  9. ”Operation Mode” Simulation Reactor • Kinetics • Sizing • Ergun Δp

  10. ”Operation Mode” Simulation Circulation compressor • Actual gas flow is limited by compressor curve.

  11. ”Operation Mode” Simulation Heat Exchangers From recirculation From Reactor To Separator • UA is fixed. • Inlet temperatures are given. To Reactor Find Tc,out!

  12. Optimization Problem

  13. Plantwide Procedure: Step 1 • OK! Define operational objectives (economics) and constraints.

  14. Step 2 Optimizing the Simulation Hard constraints as inputs

  15. Optimizing the Simulation COM Matlab UniSim • NLP Solver • fmincon • NLP Model

  16. Plantwide Procedure: Step 2 • OK! • Identify steady state degrees of freedom. • Identify important disturbances • Determine steady state operation conditions.

  17. Conclusion • The use of commercial process simulators to generate process models suitable for an automated economic plantwide control procedure was explored. • NLP model independent of NLP solver. • The model for the methanol plant in ”operation mode” was generated. • Recommendations for set-up of heat exchangers and compressors were given. • Steps 1 and 2 of plantwide control procedure achieved.

  18. Thank you for your attention!

More Related