The objective of this study was to develop a new intelligent aeration control system (IACS) to
control energy consumption and membrane fouling under all conditions. The basic idea of
IACS is that the mode and intensity of aeration are automatically adjusted from the feedback
of information on foulant concentration and fouling rate. A set of equations to control aeration
was derived based on feed water quality and fouling index. Then, IACS was applied to a pilot
plant to verify its efficiency.
The work was done at pilot scale using a 500 m<sup>3</sup>/day plant with submerged microfilters
(Cleanfil-S20, Kolon, Korea) in a full-scale water treatment plant. Raw water collected from the
Han River was used as feed water and poly-aluminum chloride was used as the coagulant. A
computer-based control and data acquisition system was designed, installed and tested on the
pilot plant for intelligent aeration control. The validity of this control method was examined
using the pilot-scale MF system in long-term operation.
Based on the experimental results, it is likely that the IACS is advantageous over other
existing aeration methods (continuous or periodic aerations). The reduction in energy
consumption was up to 70 % while the transmembrane pressure was stable even with raw
water of high turbidity. Nevertheless, an adjustment of coagulant dose and maintenance
cleaning condition was required to control membrane fouling due to algae and organics. Includes 6 references, tables, figures.
| Edition : | Vol. - No. |
| File Size : | 1
file
, 900 KB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 9 |
| Published : | 11/01/2009 |
