Model Predictive Control of Gas Processing Plant Focused on Depropanizer Column

The objective of this project is to improve the energy efficiency and reduce the
operation cost for gas processing plant focused on de-propanizer column by
implemented the advance process control namely Model Predictive Control. In gas
processing plant, 60% of energy used for chemical industries is from distillation
processes. To improve the energy efficiency ofdistillation column for gas processing
plant, model predictive control is one of technology introduced to the distillation
process control system that will overcome this problem compare to conventional
controller. In this project, a study 2x2 model predictive control which consist of two
manipulate variable and two control variable for de-propanizer column of gas
processing plant. By doing the model predictive controller implementation, plant
model development which consists of steady state and dynamic model is required by
using HYSYS simulation. Step test is necessary which will then calculate the transfer
function by using MATLAB system identification for model predictive control
design and implementation. And lastly, Comparison between model predictive
control and a conventional controller is desired which shown that model predictive
controller has better performance and small energy consumption compare to
conventional controller.