Equilibrium temperature in aerated basins—comparison of two prediction models

Gillot, S.; Vanrolleghem, Peter A.

doi:10.1016/s0043-1354(03)00263-x

Cited by 16 publications

(10 citation statements)

References 9 publications

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“…Solar radiation is the main energy source for heat gain in quiescent water bodies (Gillot and Vanrolleghem, 2003). Atmospheric radiation, surface convection, and wall convection/conduction are additional energy contributors in an MLSS sample heat balance (Makinia et al, 2005).…”

Section: Methodsmentioning

confidence: 99%

Batch and automated SVI measurements based on short-term temperature variations

Rossle

Pretorius²

2019

WSA

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Effects of short-term temperature variations on the sludge volume index (SVI) are evaluated with batch and automated mixed liquor suspended solids (MLSS) settling tests. The test-cylinder environment and meteorological conditions have a direct influence on the MLSS sample temperature (T s). A T s change of 4.3°C over the 30 min settling test duration results in an inverse SVI change of 63.0 mℓ/g, at an average SVI decrease of 14.8 mℓ/g per 1°C T s increase. T s compensation or control during routine SVI tests is not common practice, partially due to a lack of temperature-controlled equipment and an absence of T s-based MLSS settling models. A practical solution is found to reduce T s variations experienced before and during batch MLSS settling tests. An automated MLSS settling meter is used to demonstrate a semi-continuous on-line method to determine SVI at the operational reactor temperature (T r) of a full-scale plant. Basic and best-fit SVI models are obtained from the SVI data generated over diurnal periods, based on MLSS concentration and T r fluctuations. These SVI models confirm the inverse dependence of SVI on temperature for the site-specific conditions. A diurnal T r fluctuation of 1.8°C results in an SVI change of 26.6 mℓ/g, at an average-14.8 mℓ/g SVI change per 1°C T r variation.

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Section: Methodsmentioning

confidence: 99%

Batch and automated SVI measurements based on short-term temperature variations

Rossle

Pretorius²

2019

WSA

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“…The model of the Illovo MBR was an assembly of features taken from literature models to match the particular aspects of the system. The biological reactions were formulated following the IWA ASM1 (International Water Association Activated Sludge Model No 1) (Henze et al, 1987), simplified as acetic acid was the only substrate under consideration. ASM1 does not consider energy balances, so the energy balance model of Sedory and Stenstrom (1995) was selected due to its ability to give a complete breakdown of the heat exchange mechanisms occurring, and its extensive use by various authors (LaPara and Alleman, 1999;Gillot and Vanrolleghem, 2003;Makinia et al, 2005).…”

Section: Model Developmentmentioning

confidence: 99%

“…The energy balance model of Sedory and Stenstrom (1995) was selected due to its detailed set of heat exchange mechanisms, and its extensive use by several authors (LaPara and Alleman, 1999;Gillot and Vanrolleghem, 2003;Makinia et al, 2005). The assumption of complete mixing implies a uniform temperature in the MBR, equal to the outlet stream temperature.…”

Section: Energy Balancementioning

confidence: 99%

Modelling mesophilic-thermophilic temperature transitions experienced by an aerobic membrane bioreactor treating furfural plant effluent

Kay

Brouckaert

Sindall

2019

WSA

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A mathematical model was developed of an aerobic membrane bioreactor (MBR) treating effluent from a by-products facility at a sugar mill producing furfural, based on measurements of microbial kinetics and stoichiometry at different temperatures. The model was calibrated and validated against plant data using volumetric flow into the MBR and volumetric sludge wasting from the MBR as inputs. The model is able to predict steady-state and unsteady-state operation of the MBR under both mesophilic and thermophilic conditions, and the transitions between the two regimes. Comparison of model simulations and plant data suggests that thermophilic operation is advantageous, but it is less stable than mesophilic operation and frequent feed disruptions can have detrimental effects on MBR operation.

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“…Therefore, appropriate aeration during the initial digestion phase can not only lessen the operating cost, but prevent evaporative heat loss. [22,26,27] The effects of different TS contents (6.5%, 5.4%, and 4.6%) on pH are shown in Figure 4. The pH in the digester was not regulated in this batch-operation study.…”

Section: Variation Of Ph and Orp At Different Ts Contentsmentioning

confidence: 99%

Effects of stabilization and sludge properties in a combined process of anaerobic digestion and thermophilic aerobic digestion

Cheng

Feng

Zhu

et al. 2015

Environmental Technology

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A novel process of combining mesophilic (<35°C) anaerobic digestion with the thermophilic (55°C) aerobic digestion process (AN-TAD) was designed to stabilize sludge and economize aeration energy. Effects of stabilization and sludge properties for AN-TAD process were evaluated by batch experiments during a 25 d digestion period. The sludges digested by AN-TAD process achieved the requirements for Class-A sludge standard. The sludge at total solid (TS) 5.4% had the highest value of decay coefficient K(d(55)) at 0.1851 d(-1) among the three TS contents according to the first-order kinetics equation. Oxidation reduction potential at below 0 mV remained for sludges at TSs of 6.5%, 5.4%, and 4.6% for at least 15 d because of initial hydrolytic-acidification. Concentrations of nitrogen and phosphorus in sludges at TSs of 6.5%, 5.4%, and 4.6% gradually increased up to the highest values in the supernatant during the initial 13 d, causing low utilized value in land application as a fertilizer. Prolonging the retention time for more than 15 d was considered because soluble phosphorus precipitated in the solid phase. High content of soluble organic matters of the soluble chemical oxygen demand, protein, and polysaccharide in the supernatant caused deterioration in sludge dewaterability rates.

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Equilibrium temperature in aerated basins—comparison of two prediction models

Cited by 16 publications

References 9 publications

Batch and automated SVI measurements based on short-term temperature variations

Batch and automated SVI measurements based on short-term temperature variations

Modelling mesophilic-thermophilic temperature transitions experienced by an aerobic membrane bioreactor treating furfural plant effluent

Effects of stabilization and sludge properties in a combined process of anaerobic digestion and thermophilic aerobic digestion

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