Optimal operational analysis of metamodel based single mixed refrigerant cryogenic process for floating liquefied natural gas plant technology
Since natural gas liquefaction operation is an energy-intensive technology. Research has been published for the optimization of the process by utilizing the first principal complex nonlinear SMR model. The process is computationally expensive and requires several hours or even days for optimization....
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123022004145 |
| _version_ | 1797984847589801984 |
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| author | Wahid Ali |
| author_facet | Wahid Ali |
| author_sort | Wahid Ali |
| collection | DOAJ |
| description | Since natural gas liquefaction operation is an energy-intensive technology. Research has been published for the optimization of the process by utilizing the first principal complex nonlinear SMR model. The process is computationally expensive and requires several hours or even days for optimization. To address this issue, this study proposes a metamodel for natural gas liquefaction featuring a single mixed refrigerant cryogenic cycle. The SMR model was modeled and simulated by utilizing Aspen Hysys software. However, the metamodel was developed by utilizing radial basis function methodology and optimization work using Matlab. The results summary comparison for specific compression duty for metamodel was 0.3863 kW/kg-NG. The first principle-based published study of this duty was 0.3625 (kW/kg-NG) which is approximately 6.5% lower than the current study. However, a huge reduction in computational time was obtained. The metamodel building and optimization time-lapse was 292.96 s while the same first principle-based model lapse 201.24 h using 300 iterations. In comparison, it can be inferred that metamodel could capture almost all-important characteristics of the firs-principle based model. Hence, the proposed study could be considered as an alternative to the first principle model for optimization purposes. This research may prove to be more vital especially in any abrupt changing or uncertain conditions or for real-time plant optimization. |
| first_indexed | 2024-04-11T07:09:17Z |
| format | Article |
| id | doaj.art-bec0a849c66d470b871fe14bd7e18f87 |
| institution | Directory Open Access Journal |
| issn | 2590-1230 |
| language | English |
| last_indexed | 2024-04-11T07:09:17Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj.art-bec0a849c66d470b871fe14bd7e18f872022-12-22T04:38:16ZengElsevierResults in Engineering2590-12302022-12-0116100744Optimal operational analysis of metamodel based single mixed refrigerant cryogenic process for floating liquefied natural gas plant technologyWahid Ali0Department of Chemical Engineering Technology, College of Applied Industrial Technology (CAIT), Jazan University, Jazan, 45971, Kingdom of Saudi ArabiaSince natural gas liquefaction operation is an energy-intensive technology. Research has been published for the optimization of the process by utilizing the first principal complex nonlinear SMR model. The process is computationally expensive and requires several hours or even days for optimization. To address this issue, this study proposes a metamodel for natural gas liquefaction featuring a single mixed refrigerant cryogenic cycle. The SMR model was modeled and simulated by utilizing Aspen Hysys software. However, the metamodel was developed by utilizing radial basis function methodology and optimization work using Matlab. The results summary comparison for specific compression duty for metamodel was 0.3863 kW/kg-NG. The first principle-based published study of this duty was 0.3625 (kW/kg-NG) which is approximately 6.5% lower than the current study. However, a huge reduction in computational time was obtained. The metamodel building and optimization time-lapse was 292.96 s while the same first principle-based model lapse 201.24 h using 300 iterations. In comparison, it can be inferred that metamodel could capture almost all-important characteristics of the firs-principle based model. Hence, the proposed study could be considered as an alternative to the first principle model for optimization purposes. This research may prove to be more vital especially in any abrupt changing or uncertain conditions or for real-time plant optimization.http://www.sciencedirect.com/science/article/pii/S2590123022004145Natural gas liquefactionSMR processFLNG plantMetamodelOptimization |
| spellingShingle | Wahid Ali Optimal operational analysis of metamodel based single mixed refrigerant cryogenic process for floating liquefied natural gas plant technology Results in Engineering Natural gas liquefaction SMR process FLNG plant Metamodel Optimization |
| title | Optimal operational analysis of metamodel based single mixed refrigerant cryogenic process for floating liquefied natural gas plant technology |
| title_full | Optimal operational analysis of metamodel based single mixed refrigerant cryogenic process for floating liquefied natural gas plant technology |
| title_fullStr | Optimal operational analysis of metamodel based single mixed refrigerant cryogenic process for floating liquefied natural gas plant technology |
| title_full_unstemmed | Optimal operational analysis of metamodel based single mixed refrigerant cryogenic process for floating liquefied natural gas plant technology |
| title_short | Optimal operational analysis of metamodel based single mixed refrigerant cryogenic process for floating liquefied natural gas plant technology |
| title_sort | optimal operational analysis of metamodel based single mixed refrigerant cryogenic process for floating liquefied natural gas plant technology |
| topic | Natural gas liquefaction SMR process FLNG plant Metamodel Optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2590123022004145 |
| work_keys_str_mv | AT wahidali optimaloperationalanalysisofmetamodelbasedsinglemixedrefrigerantcryogenicprocessforfloatingliquefiednaturalgasplanttechnology |