Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

Model Predictive Control of Gas Processing Plant Focused on Depropanizer Column

Useng, Hooda (2010) Model Predictive Control of Gas Processing Plant Focused on Depropanizer Column. Universiti Teknologi PETRONAS. (Unpublished)

[img] PDF
Download (1MB)


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.

Item Type: Final Year Project
Academic Subject : Academic Department - Chemical Engineering - Environment
Subject: T Technology > TP Chemical technology
Divisions: Engineering > Chemical
Depositing User: Users 2053 not found.
Date Deposited: 08 Jan 2014 08:47
Last Modified: 08 Jan 2014 08:47
URI: http://utpedia.utp.edu.my/id/eprint/10806

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...