We have applied both steady-state and dynamic modeling to many process control and design applications.
Dynamic Modeling – We have written models using general simulation languages as well as packages specifically designed for modeling chemical, pharmaceutical and petroleum processes like Aspen Hysys.
Steady State Modeling - Often, a lot can be learned from a steady state model. A benefit of this approach is that it requires less engineering time especially when a steady state model is already prepared. We have developed techniques to establish the feasibility of a control approach using steady state models. We have applied this technique extensively to designing controls for distillation columns. If the proposed controls will not work at all the various steady state conditions that define the normal operating range than there is no need to investigate this approach further.
The benefits of simulation can result in substantial savings. The savings routinely come from:
· Faster, smoother start-ups
· Improved product quality
· Less frequent emergency trips
· Predicting the impact of process changes before they are implemented
· Reduced environmental incidents and safer operation
Fruehauf P. S. and Hobgood J. V., “Dynamic Simulation of a Steam Generation Process with Co-generation” ISA EXPO/2000 Technology Updates (October 2002).
Fruehauf P. S. and Mahoney D. P., “Distillation Column Control Design Using Steady State Models; Usefulness and Limitations” ISA Transactions, 32, pp. 157-175 (1993) http://www.scribd.com/doc/3965529/Distillation-Column-Control-Design-Using-Steady-State
Fruehauf P. S. and Mahoney D. P., “Improve Distillation-Column Control Design” Chemical Engineering Progress 75 (March 1994).
Mahoney D. P. and Fruehauf P. S., “An Integrated Approach for Distillation Column Control Design Using Steady State and Dynamic Simulation”