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Physico-Chemical Technology Selection & Design

Engineering-grade decision matrices, design parameters, coagulation chemistry, and process integration for specifying physico-chemical conditioning and treatment systems.

Technology Selection: DAF vs. Lamella vs. Clarifier

Choose the right separation technology based on your wastewater characteristics

Not all separation technologies are equal for every wastewater type. Process engineers must match the physicochemical properties of the effluent to the strengths of each technology. Use this decision matrix to self-identify the optimal approach.

Wastewater CharacteristicDAFLamellaConventional Clarifier
Oil/grease >50 mg/LExcellentPoor (oil coats plates)Moderate
Low-density solids (algae, fibres)ExcellentModeratePoor
High-density solids (grit, sand)ModerateExcellentGood
TSS >1,000 mg/LHigh solids load challengesHigh-rate settlingGood
Space constrainedCompactVery compact (90% smaller)Large footprint
High temperature (>60°C)Bubble expansionUnaffectedStratification risk
Variable flowRapid responseHydraulic upsetSludge blanket disturbance
Fats, oils, grease (FOG)ExcellentCoating riskModerate
Fine colloidal particlesExcellent (with coagulation)Requires coagulationPoor without chemical aid

Choose DAF when:

Oily wastewater, low-density solids, variable flows, or space is limited. DAF excels at removing fats, oils, algae, and fibres that resist gravity settling. See brewery DAF CFD optimisation case study →

Choose Lamella when:

High-density mineral solids, predictable flow, and extreme space constraints. Lamella separators provide 90% footprint reduction versus conventional clarifiers.

Choose Conventional Clarifier when:

Very high TSS (>2,000 mg/L), large continuous flows with minimal variation, and lowest Capital expenditure is the priority. Simplest operation, largest footprint.

Hybrid Approach:

For high-rate applications, combine DAF + Lamella in series: DAF removes FOG and light solids first, Lamella polishes heavy particles. Common in mining and food processing.

Typical Design Parameters

Engineering specifications for specifying physico-chemical conditioning and treatment equipment

ParameterDAF SystemsLamella SeparatorsChemical DosingPolymer Stations
Flow range5 – 500 m³/h5 – 500 m³/h1 – 500 L/h dosing1 – 50 kg/h powder
TSS removal85 – 99%70 – 90%N/A (preparatory)N/A (preparatory)
Hydraulic loading5 – 15 m/h1 – 3 m/h equivalentN/AN/A
Plate spacing (Lamella)N/A50 – 120 mmN/AN/A
Plate angleN/A55 – 60°N/AN/A
FootprintCompact90% smaller than conventionalSkid-mountedCompact
MaterialsSS316L, duplexSS304/316, coated steelPVC, PVDF, SS316PE, SS316
A/S ratio (DAF)0.01 – 0.05 kg/kgN/AN/AN/A
Saturator pressure400 – 600 kPaN/AN/AN/A
Coagulant dose rangeN/AN/A5 – 100 mg/LN/A
Polymer concentrationN/AN/AN/A0.1 – 0.5% (powder)
Engineering note: All parameters are typical ranges. Final design must be validated through jar testing and pilot trials. Contact Our Engineers for application-specific sizing. Run the DAF Sizing Calculator →  |  Lamella Design Calculations →  |  Chemical Dosing Calculator →

Coagulation Chemistry at a Glance

Mechanism, chemistry, and selection criteria for demanding industrial wastewater applications coagulation

Ferric chloride (FeCl3) is our recommended primary coagulant for most wastewater applications, effective at natural pH ranges (5.5–7.5) via sweep flocculation. For low-alkalinity waters, pH adjustment with caustic soda or sodium carbonate may be required. Polyaluminum chloride (PAC) offers lower chemical sludge volumes but higher material cost. Jar testing confirms optimal dose and pH for your specific wastewater.

MechanismChemistrypH RangeApplicationDose Range
Charge neutralisationAlum (Al2(SO4)3), FeCl3, PAC6.0 – 7.5 (alum); 5.0 – 6.5 (FeCl3)Colloidal destabilization, low turbidity5 – 30 mg/L
Sweep flocculationSame as above, higher doses6.5 – 8.5High turbidity, natural organic matter30 – 100+ mg/L
AdsorptionFeCl3 for phosphorus5.5 – 6.5Phosphorus removal, chemical P-recovery8 – 15 mg/L Fe/P molar ratio
Organic coagulantsPolyDADMAC, polyamine4.0 – 9.0Oily wastewater, low-dose requirements2 – 10 mg/L

Mixing Energy Requirements (G-Values)

Rapid Mix
300 – 1000 s−1
Coagulant dispersion
10 – 60 seconds retention
Flocculation
20 – 80 s−1
Floc growth
10 – 30 minutes retention
DAF Contact Zone
< 100 s−1
Prevents floc breakup
60 – 120 seconds
Jar testing protocol: Conduct at G-values matching full-scale rapid mix and flocculation. Identify optimal coagulant dose, pH, and polymer type before finalising equipment sizing. Temperature effects: coagulation kinetics slow by 20–30% below 10°C; compensate with higher dose or longer retention.

Physico-Chemical Treatment Process Integration

Where physico-chemical conditioning and treatment fits in the complete wastewater treatment flowsheet

Screening
Equalization
pH Adjustment
Rapid Mix
Flocculation
DAF / Lamella
Sludge Handling
Biological (opt.)
Discharge / Reuse

Pre-treatment

Screening removes debris >6 mm. Equalization dampens flow and load peaks. pH adjustment ensures coagulant effectiveness.

Physico-Chemical Core

Rapid mix (G = 300–1000 s−1) disperses coagulant. Flocculation (G = 20–80 s−1) grows visible flocs. DAF or Lamella separates solids from clarified water.

Post-treatment

Sludge handling dewaters chemical sludge (2–5% DS) to 15–25% DS. Run sludge dewatering calculator → Optional advanced biological treatment removes dissolved BOD/COD. Final effluent meets discharge or reuse standards.

Water Reuse Pathways

Treated effluent from physico-chemical systems typically achieves TSS <50 mg/L, suitable for cooling tower makeup, washdown, or irrigation. Further filtration required for process reuse.

Detailed Engineering Resources

Explore our comprehensive guides to physico-chemical conditioning and treatment

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Design DAF systems for correct hydraulic loading.

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DAF systems for manufacturing wastewater treatment.

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Need Application-Specific Design Support?

Our process engineers can validate technology selection, run jar testing, and size equipment for your specific wastewater characteristics. Contact us for a feasibility study.

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