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: | |
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Universiti Teknologi Petronas
2011
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| 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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| Summary: | 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. |
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