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GPS-X Technical Reference

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105 Suspended Growth Models<br />

Standard Oxygen Transfer Efficiency (SOTE)<br />

The user has the option of using a constant SOTE or using a correlation in <strong>GPS</strong>-X to<br />

calculate the SOTE. When using the constant SOTE option, the default value (0.3)<br />

represents a typical estimate of the efficiency for fine bubble diffusers submerged at<br />

4.3 m (14 ft.).<br />

Alternatively, <strong>GPS</strong>-X has SOTE correlations for fine bubble, coarse bubble, and jet<br />

diffusers. For fine bubble aeration, the SOTE correlations are based on a regression<br />

equation developed by Hur (1994) which is shown below:<br />

Equation 6.25<br />

where:<br />

AF = air flow per diffuser (scfm per diffuser)<br />

d = diffuser submergence (ft.)<br />

DD = diffuser density (diffusers/100ft 2 )<br />

A 1, A 2, A 3, A 4, and A 5 = regression parameters<br />

As shown, this equation depends on the depth of submergence of the diffusers, the<br />

diffuser density, and the airflow per diffuser. Using this equation and the data found in<br />

Hur (1994), Hydromantis re-estimated the regression parameters to improve the fit of the<br />

regression. Separate regressions were performed for ceramic disc, ceramic dome,<br />

membrane disc, and membrane tube diffusers. The values of the regression coefficients<br />

can be found in the System > Input Parameters > Physical > More form.<br />

There is also an option to use a user-defined SOTE correlation. The correlation has the<br />

same form as Equation 6.25. The adjustable regression coefficients are found in the<br />

System > Input Parameters > Operational > More form of most biological objects.<br />

A separate correlation for coarse bubble and jet diffusers has been developed by<br />

Hydromantis based on data found in Mueller et al (2002) as shown in Equation 6.26.<br />

Coarse Bubble and Jet SOTE<br />

Equation 6.26<br />

<strong>GPS</strong>-X <strong>Technical</strong> <strong>Reference</strong>

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