Refinery Process Optimization Using Response Surface Methodology (RSM)
Date/Time:
Date(s) - 16/03/2022 - 18/03/2022( 8:00 am - 5:00 pm )
Location:
Malaysia, Kuala Lumpur
Objectives
- Understand the issues and principles of response surface methodology in optimizing a process
- Know the first order and second order response surface how to find the direction of steepest ascent (or descent) to maximize (or minimize) the response
- Know how to deal with several responses simultaneously (Multiple Response Optimization)
- Look for the factor level combinations that give the maximum yield and minimum costs in a refinery setting
training outlines
Factorial Design (FD)
- Terminology
- Level of independent variable (IV)
- FD main effect and interaction
- Interpreting tables & graph
- First and second order response designs
- FD examples
Analysis of Variance (ANOVA)
- Regression models
- Least squares estimation
- Regression sums of squares and inferences
- Lack of fit
- One and two way ANOVA
- Methods for the analysis
- F and t tests
Response Surface Methodology (RSM)
- RSM one variable
- Multi factor design
- Central Composite Design (CCD)
- Box-Behnken
- 3 Level factorial
- Fractional design
- D-optimal
RSM Optimization
- Application of RSM in refinery processing
- Optimization of response functions
- Locating the optimum response
- Ridge analysis
- Refinery case study
Training Methodology
- Case Studies
- Individual and group discussions and exercises
- Intensive training by using templates, diagrams and charts
- Planning activities and presentations
- Self Assessments
- Action plan
