| 000 | 01888ntm a2200241 a 4500 | ||
|---|---|---|---|
| 001 | vtls000083372 | ||
| 003 | KUKTEM | ||
| 005 | 20251117113247.0 | ||
| 008 | 141112t2013 my a f m 000 0 eng d | ||
| 020 | _aTHE0003782(Local) | ||
| 039 | 9 |
_a201905151453 _bshah _c201411261300 _dfawwaz _c201411141245 _dfawwaz _y201411121618 _zfawwaz |
|
| 040 | _aUMP | ||
| 090 | _aTP156.A3 F37 2013 r Bc. | ||
| 100 | 0 | _aMohd Faridhwan Mohamad Zulkapli | |
| 245 | 1 | 0 |
_aDynamic model of co2 removal using aspen hysys / _cMohd Faridhwan Mohamad Zulkapli |
| 260 |
_aKuantan, Pahang : _bUMP, _c2013 |
||
| 300 |
_axv, 77 p. : _bill. ; _c30 cm. + _e1 CD-ROM |
||
| 502 | _aProject paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang - 2013 | ||
| 504 | _aBibliography : p. 77 | ||
| 520 | 3 | _aThe objective if this study is to stimulate CO2 removal process by using Aspen HYSYS. The methodology of this study is divided into two phase. The first phase relates to the model development of steady state and the second phase related to dynamic simulation. In the first phase, the design data are collected from an industry. The simulation results are then compared to the available design data. The second phase basically involves equipment sizing that should be conducted before the dynamic modeling is developed. Validation of dynamic model and real plant data is considered based on normal condition. The abnormal simulation is then conducted by introducing disturbances and or faults in the process. As the conclusion, this simulation can be used as training and learning tools for engineers and operator, to understand the dynamic characteristic of CO2 removal process and also be able to use the simulation to improved performance of the CO2 removal process | |
| 650 | 0 | _aCarbon dioxide | |
| 999 |
_aVIRTUA40 _c5644 _d5650 |
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| 999 | _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992 | ||