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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 53129 (06)
- University: Sharif University of Technology
- Department: Chemical and Petroleum Engineering
- Advisor(s): Pishvaie, Mahmoud Reza
- Abstract:
- Today, shipping of liquefied natural gas has a considerable share in the global gas trade. Efficient design, optimal operation, and precise control of process variables in the gas liquefaction process decrease energy consumption for LNG production. Understanding the dynamic behavior of a liquefied natural gas unit helps engineers to make the correct choice of controlled variables and tuning controllers. Through a dynamic simulation, this understanding can be achieved. Simulation of a multi-stream heat exchanger, as the heart of the gas liquefaction process, is a challenge of studying this process. In this study, two dynamic models governing a multi-stream heat exchanger in Aspen Plus Dynamics and Aspen Hysys were examined, and finally, Aspen Plus Dynamics software was used to simulate the process. With the aid of dynamic simulation and process identification methods, a linear model was obtained in the state-space form to mimic the process dynamics. Additionally, to control the process by using the model predictive strategy based on the state-space model, the connection of the Simulink toolbox and Aspen Plus Dynamics was established through the AMsimulation interface. Then model predictive control and PI control were implemented to control the main process variables. The results show that the performance of model predictive control is acceptable, and this method can be used effectively, especially to apply process constraints
- Keywords:
- Dynamic Simulation ; Refrigeration ; Liquefied Natural Gas ; Model Predictive Control ; Multi Stream Heat Exchanger (MHEX)
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