A reduced order model for triethylene glycol natural gas dehydration system
In natural gas processing plants, glycol dehydration is commonly used to remove water from the gas streams, to avoid pipeline blockage and equipment breakdown due to hydrates formation. This paper proposed a reduced order model developed based on integrated simulation-optimization approach for the g...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-04-01
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| Series: | South African Journal of Chemical Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1026918523000021 |
| _version_ | 1797943062873243648 |
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| author | Daniel Jia Sheng Chong Dominic C.Y. Foo Zulfan Adi Putra |
| author_facet | Daniel Jia Sheng Chong Dominic C.Y. Foo Zulfan Adi Putra |
| author_sort | Daniel Jia Sheng Chong |
| collection | DOAJ |
| description | In natural gas processing plants, glycol dehydration is commonly used to remove water from the gas streams, to avoid pipeline blockage and equipment breakdown due to hydrates formation. This paper proposed a reduced order model developed based on integrated simulation-optimization approach for the glycol dehydration system, with the aim to minimize its operating cost while satisfying pipeline quality specifications. Steady-state process simulation software was used to identify important operating parameters for the glycol dehydration process; these include reboiler temperature and flow ratio of the regeneration column, and solvent flowrate. The identified parameters are built into a non-linear programming model, which was developed as a reduced order model for ease of implementation in the plant. The studied parameters are reboiler duties, hot oil, condenser, and pump, as well as TEG make-up flow rate and CO2 equivalent (CO2-eq) emissions. The Pareto Front is developed to identify the minimum operating cost at different levels of water dew point specification. The work has resulted in the annual savings of more than 34.6%. |
| first_indexed | 2024-04-10T20:18:29Z |
| format | Article |
| id | doaj.art-13f14af99606491c8ea291ff7559afdc |
| institution | Directory Open Access Journal |
| issn | 1026-9185 |
| language | English |
| last_indexed | 2024-04-10T20:18:29Z |
| publishDate | 2023-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | South African Journal of Chemical Engineering |
| spelling | doaj.art-13f14af99606491c8ea291ff7559afdc2023-01-26T04:44:00ZengElsevierSouth African Journal of Chemical Engineering1026-91852023-04-01445167A reduced order model for triethylene glycol natural gas dehydration systemDaniel Jia Sheng Chong0Dominic C.Y. Foo1Zulfan Adi Putra2Department of Chemical and Environmental Engineering/Centre of Excellence for Green Technologies, University of Nottingham Malaysia, Broga Road, Semenyih, Selangor 43500, MalaysiaDepartment of Chemical and Environmental Engineering/Centre of Excellence for Green Technologies, University of Nottingham Malaysia, Broga Road, Semenyih, Selangor 43500, Malaysia; Corresponding author.Formerly PETRONASIn natural gas processing plants, glycol dehydration is commonly used to remove water from the gas streams, to avoid pipeline blockage and equipment breakdown due to hydrates formation. This paper proposed a reduced order model developed based on integrated simulation-optimization approach for the glycol dehydration system, with the aim to minimize its operating cost while satisfying pipeline quality specifications. Steady-state process simulation software was used to identify important operating parameters for the glycol dehydration process; these include reboiler temperature and flow ratio of the regeneration column, and solvent flowrate. The identified parameters are built into a non-linear programming model, which was developed as a reduced order model for ease of implementation in the plant. The studied parameters are reboiler duties, hot oil, condenser, and pump, as well as TEG make-up flow rate and CO2 equivalent (CO2-eq) emissions. The Pareto Front is developed to identify the minimum operating cost at different levels of water dew point specification. The work has resulted in the annual savings of more than 34.6%.http://www.sciencedirect.com/science/article/pii/S1026918523000021Glycol dehydrationNatural gasTriethylene glycolProcess simulationProcess optimizationDrizo process |
| spellingShingle | Daniel Jia Sheng Chong Dominic C.Y. Foo Zulfan Adi Putra A reduced order model for triethylene glycol natural gas dehydration system South African Journal of Chemical Engineering Glycol dehydration Natural gas Triethylene glycol Process simulation Process optimization Drizo process |
| title | A reduced order model for triethylene glycol natural gas dehydration system |
| title_full | A reduced order model for triethylene glycol natural gas dehydration system |
| title_fullStr | A reduced order model for triethylene glycol natural gas dehydration system |
| title_full_unstemmed | A reduced order model for triethylene glycol natural gas dehydration system |
| title_short | A reduced order model for triethylene glycol natural gas dehydration system |
| title_sort | reduced order model for triethylene glycol natural gas dehydration system |
| topic | Glycol dehydration Natural gas Triethylene glycol Process simulation Process optimization Drizo process |
| url | http://www.sciencedirect.com/science/article/pii/S1026918523000021 |
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