| 000 | 02399ntm a2200301 i 4500 | ||
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| 003 | MY-KuUP | ||
| 005 | 20260921112422.0 | ||
| 006 | t||||fr|||| 000 0 | ||
| 007 | ta | ||
| 008 | 120316t20102010my a f m 000 0 eng d | ||
| 020 |
_aTHE0008042(Local) _qhardback |
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| 040 |
_aUMP _beng _cUMP _erda |
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| 090 | _aTP482 .E73 2010 rs Bc. | ||
| 100 | 0 |
_aEramamnazruasyadi Mat Rajab, _eauthor. |
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| 245 | 0 |
_aOptimal of mixed refrigerant composition for mrc-lng system / _cEramamnazruasyadi Mat Rajab |
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| 264 | 1 |
_aKuantan, Pahang : _bUMP, _c2010 |
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| 264 | 4 | _c©2010 | |
| 300 |
_avii, 53 pages : _billustrations ; _c30 cm. + _e1 CD-ROM |
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| 336 |
_2rdacontent _atext |
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| 337 |
_2rdamedia _aunmediated |
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| 338 |
_2rdacarrier _avolume |
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| 502 | _aProject paper (Bachelor of Chemical Engineering (Gas Technology)) -- Universiti Malaysia Pahang - 2010 | ||
| 504 | _aBibliography : p. 36-37 | ||
| 520 | 3 | _aLiquefaction of natural gas is a process where the natural gas will be condensed to a liquid phase through a cooling process which applies refrigeration technique. Liquefied natural gas (LNG) that being produced has offer advantages in terms of volume and storage because the original gas phase will be reduce to approximately 600 folds. Refrigeration that uses compression work normally requires high energy consumption as compared to normal cooling. In this research, typical liquefaction process which is mixed refrigerant cycle (MRC) was selected to be analyzed in the effort to find optimal refrigerant compositions that can lead to a lower power consumption. A simplify LNG flowsheet from a published work has been simulated using Aspen HYSYS V7.0. Higher power requirement for the existing flowsheet provide a basis for further process improvement. Mixed refrigerant composition that contain a mixture of methane, ethane, propane and butane has been formulated to find which composition of 4 trials can result the lowest power consumption. The result shows that Trial 2 is the optimal mixed refrigerant compositions which require 117.5MW of compression power. Based on the existing value, this trial can save of 14.6% power saving. This saving will then lead to the lowest operating cost. This result can be further improved by applying systematic optimization approach that can gain global optimal value. | |
| 650 | 0 |
_aGas _xLiquefaction |
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| 650 | 0 | _aNatural gas | |
| 942 |
_2lcc _cPSM |
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_c8631 _d8637 |
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