Pressure loss prediction and control model for water treatment units
Water treatment compact units are widely applied in Iraq for production of drinking water. Treated water quality meets world Health Organization (WHO) standards. Present work focuses upon compact water treatment units design, power and pressure drops control modeling and simulations. Computer...
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| 格式: | Thesis |
| 語言: | English English |
| 出版: |
2014
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| 主題: | |
| 在線閱讀: | http://eprints.uthm.edu.my/1462/1/24p%20ESTABRAQ%20KHUDHAIR%20ABBAS.pdf http://eprints.uthm.edu.my/1462/2/ESTABRAQ%20KHUDHAIR%20ABBAS%20WATERMARK.pdf |
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| 總結: | Water treatment compact units are widely applied in Iraq for production of drinking
water. Treated water quality meets world Health Organization (WHO) standards.
Present work focuses upon compact water treatment units design, power and pressure
drops control modeling and simulations. Computer program software (compact pro)
was developed to calculate the pressure losses in piping network and process
equipment's. Results obtained for pressure drop unit length for different pipe
diameters and roughness, show that for pipe diameter above (200 mm) for (200
m
3
/hr),water pressure drop almost the same, while for pipe diameter less than (200
mm), water pressure drop is minimum for PVC and Stainless steel and maximum for
galvanized steel. As the piping roughness increase, pressure drop will increase in
general for any water internal flow rate. As internal flow rate increased, water
pressure drop increase .This result is very important for process designer.
Comparisons between results of Compact Pro Software and Pipe flow expert
Software for different Input data, shows a good agreement which not exceed 8.6% as
maximum. There are only slight change in pressure and pressure drop to the
proposed model for compact water treatment unit, sensible change in pressure and
pressure drop in the sand filtrations stage. Power calculations for the two water
treatment stages, including shaft power for pumps motors for different piping
materials. Results show that power can be saved up to more than 85 %. |
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