Prediction and Analysis of Operating Conditions of Industrial Methanol Synthesis Reactor Using Artificial Neural Network-Based Model
Methanol synthesis has many type of method that has been used these days for its process. The basic process was divided into two steps (Brooke Hays,2015). The first step was the conversion of feedstock, which is the natural gas to synthesis gas (CO, CO₂, H₂O, H₂). The second step involved the cat...
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Universiti Teknologi PETRONAS
2016
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my-utp-utpedia.228622022-03-02T15:30:46Z http://utpedia.utp.edu.my/22862/ Prediction and Analysis of Operating Conditions of Industrial Methanol Synthesis Reactor Using Artificial Neural Network-Based Model Izer, Abdullah Fahmi TP Chemical technology Methanol synthesis has many type of method that has been used these days for its process. The basic process was divided into two steps (Brooke Hays,2015). The first step was the conversion of feedstock, which is the natural gas to synthesis gas (CO, CO₂, H₂O, H₂). The second step involved the catalytic synthesis, where the process of converting the synthesis gas to methanol (CH₃OH) along with hydrogen (H₂) and water (H₂O). Few noted methods were identifying the optimum recycle purge gas ratio using one-dimensional modelling of process, hydrogenation of carbon dioxide, catalyst deactivation process, and using gas-flowing fixed bed reactor (GFSFBR). These methods have proven to improve the methanol synthesis process. Universiti Teknologi PETRONAS 2016-05 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/22862/1/Abdullah%20Fahmi%20bin%20Izer_16240.pdf Izer, Abdullah Fahmi (2016) Prediction and Analysis of Operating Conditions of Industrial Methanol Synthesis Reactor Using Artificial Neural Network-Based Model. Universiti Teknologi PETRONAS. (Submitted) |
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TP Chemical technology Izer, Abdullah Fahmi Prediction and Analysis of Operating Conditions of Industrial Methanol Synthesis Reactor Using Artificial Neural Network-Based Model |
| description |
Methanol synthesis has many type of method that has been used these days for
its process. The basic process was divided into two steps (Brooke Hays,2015). The
first step was the conversion of feedstock, which is the natural gas to synthesis gas
(CO, CO₂, H₂O, H₂). The second step involved the catalytic synthesis, where the
process of converting the synthesis gas to methanol (CH₃OH) along with hydrogen
(H₂) and water (H₂O). Few noted methods were identifying the optimum recycle purge
gas ratio using one-dimensional modelling of process, hydrogenation of carbon
dioxide, catalyst deactivation process, and using gas-flowing fixed bed reactor
(GFSFBR). These methods have proven to improve the methanol synthesis process. |
| format |
Final Year Project |
| author |
Izer, Abdullah Fahmi |
| author_facet |
Izer, Abdullah Fahmi |
| author_sort |
Izer, Abdullah Fahmi |
| title |
Prediction and Analysis of Operating Conditions of Industrial Methanol Synthesis Reactor Using Artificial Neural Network-Based Model |
| title_short |
Prediction and Analysis of Operating Conditions of Industrial Methanol Synthesis Reactor Using Artificial Neural Network-Based Model |
| title_full |
Prediction and Analysis of Operating Conditions of Industrial Methanol Synthesis Reactor Using Artificial Neural Network-Based Model |
| title_fullStr |
Prediction and Analysis of Operating Conditions of Industrial Methanol Synthesis Reactor Using Artificial Neural Network-Based Model |
| title_full_unstemmed |
Prediction and Analysis of Operating Conditions of Industrial Methanol Synthesis Reactor Using Artificial Neural Network-Based Model |
| title_sort |
prediction and analysis of operating conditions of industrial methanol synthesis reactor using artificial neural network-based model |
| publisher |
Universiti Teknologi PETRONAS |
| publishDate |
2016 |
| url |
http://utpedia.utp.edu.my/22862/1/Abdullah%20Fahmi%20bin%20Izer_16240.pdf http://utpedia.utp.edu.my/22862/ |
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1739832999886716928 |
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13.18916 |