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- 2012 Spring Meeting & 8th Global Congress on Process Safety
- 15th Topical on Refinery Processing
- Basic Process Control and Optimization
- (29f) Dynamic Simulation of Demethanizer and Chilling Train System
General methodology includes the following steps: 1) In the first place, a steady-state model will be built using the sequential modular approach and plant design data; 2) the model will be further validated with normal steady state operating conditions obtained from the DCS (distributed control system) historian; 3) If the steady-state model is satisfied, it will be exported to the dynamic simulation environment. Three types of data will be needed in this transferring, including equipment dimensions, control strategies and P&ID (piping and instrument diagram) parameters, and the heat transfer option; 4) after the dynamic modeling is completed, it will be further validated to match some process upsets in DCS historian; 5) the control strategies will be tested in dynamic simulation to decrease start-up time and energy consumption. A case study is used for the demonstration.