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Co2-H2o Fugacity Modeling Using Neural Network

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,...

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Main Author: Mohd Hassan, Mohd Syafiq
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2011
Subjects:
TP Chemical technology
Online Access:http://utpedia.utp.edu.my/8914/1/2011-Co2-H20%20Fugacity%20Modeling%20Using%20Neural%20Network.pdf
http://utpedia.utp.edu.my/8914/
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spelling my-utp-utpedia.89142017-01-25T09:41:25Z http://utpedia.utp.edu.my/8914/ Co2-H2o Fugacity Modeling Using Neural Network Mohd Hassan, Mohd Syafiq TP Chemical technology 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. Universiti Teknologi Petronas 2011-12 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/8914/1/2011-Co2-H20%20Fugacity%20Modeling%20Using%20Neural%20Network.pdf Mohd Hassan, Mohd Syafiq (2011) Co2-H2o Fugacity Modeling Using Neural Network. Universiti Teknologi Petronas. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Mohd Hassan, Mohd Syafiq
Co2-H2o Fugacity Modeling Using Neural Network
description 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.
format Final Year Project
author Mohd Hassan, Mohd Syafiq
author_facet Mohd Hassan, Mohd Syafiq
author_sort Mohd Hassan, Mohd Syafiq
title Co2-H2o Fugacity Modeling Using Neural Network
title_short Co2-H2o Fugacity Modeling Using Neural Network
title_full Co2-H2o Fugacity Modeling Using Neural Network
title_fullStr Co2-H2o Fugacity Modeling Using Neural Network
title_full_unstemmed Co2-H2o Fugacity Modeling Using Neural Network
title_sort co2-h2o fugacity modeling using neural network
publisher Universiti Teknologi Petronas
publishDate 2011
url http://utpedia.utp.edu.my/8914/1/2011-Co2-H20%20Fugacity%20Modeling%20Using%20Neural%20Network.pdf
http://utpedia.utp.edu.my/8914/
_version_ 1739831613976477696
score 13.18916

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