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Co2-H2o Fugacity Modeling Using Neural Network

Mohd Hassan, Mohd Syafiq (2011) Co2-H2o Fugacity Modeling Using Neural Network. Universiti Teknologi Petronas. (Unpublished)

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Abstract

Duan and Sun (2003) have designed a theoretical model for carbon dioxide (CO,) solubility in pure water. This model is valid for solutions !rom 273 to 573K and from 0 to 2000 bar, while in the other hand, all the parameters presented in the model can be directly calculated without any iteration, except fugacity coefficient of C02 ( ~c02) which is a function of temperature (T) and pressure (P). In order to calculate the ~c02, 15 coefficients must be fitted into the equation. Since the P-T diagram of C02 is divided into 6 regions, different sets of these coefficients need to be applied for different regions. Hence, there is a need to design a single model to calculate ~c02 for the whole regions ofP-T diagram which will be done in this project.

Item Type: Final Year Project
Academic Subject : Academic Department - Chemical Engineering - Ionic Liquid
Subject: T Technology > TP Chemical technology
Divisions: Engineering > Chemical
Depositing User: Users 2053 not found.
Date Deposited: 22 Oct 2013 09:05
Last Modified: 25 Jan 2017 09:41
URI: http://utpedia.utp.edu.my/id/eprint/8914

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