LNG Plant Modeling and Optimization
The objective of this thesis is the optimisation of LNG plant to achieve efficient performance and low operating cost. In this regard, the whole different schemes of LNG production were investigated and optimum scheme was selected, the whole process was simulated by ASPEN HYSYS software. Since lique...
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| Format: | Thesis |
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Curtin University
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/66685 |
| _version_ | 1848761368692391936 |
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| author | Salehi, Bahareh |
| author_facet | Salehi, Bahareh |
| author_sort | Salehi, Bahareh |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The objective of this thesis is the optimisation of LNG plant to achieve efficient performance and low operating cost. In this regard, the whole different schemes of LNG production were investigated and optimum scheme was selected, the whole process was simulated by ASPEN HYSYS software. Since liquefaction and fractionation units are critical, these unit were optimised with particle swarm and genetic algorithms by MATLAB programming language software. The final results of optimisation algorithms were compared and the optimum design variables were specified. |
| first_indexed | 2025-11-14T10:30:34Z |
| format | Thesis |
| id | curtin-20.500.11937-66685 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:30:34Z |
| publishDate | 2018 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-666852018-05-17T03:15:37Z LNG Plant Modeling and Optimization Salehi, Bahareh The objective of this thesis is the optimisation of LNG plant to achieve efficient performance and low operating cost. In this regard, the whole different schemes of LNG production were investigated and optimum scheme was selected, the whole process was simulated by ASPEN HYSYS software. Since liquefaction and fractionation units are critical, these unit were optimised with particle swarm and genetic algorithms by MATLAB programming language software. The final results of optimisation algorithms were compared and the optimum design variables were specified. 2018 Thesis http://hdl.handle.net/20.500.11937/66685 Curtin University fulltext |
| spellingShingle | Salehi, Bahareh LNG Plant Modeling and Optimization |
| title | LNG Plant Modeling and Optimization |
| title_full | LNG Plant Modeling and Optimization |
| title_fullStr | LNG Plant Modeling and Optimization |
| title_full_unstemmed | LNG Plant Modeling and Optimization |
| title_short | LNG Plant Modeling and Optimization |
| title_sort | lng plant modeling and optimization |
| url | http://hdl.handle.net/20.500.11937/66685 |