Download - MODELLING FULL SALE GRANULAR SLUDGE SEQUENING TANK … · 2019. 11. 14. · Net reactor solids concentration kg m-3 10.3 > 8 Percent total mass in the granular phase % 81 > 80 Sludge

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  • Peter Dold, Bill Alexander*, Mark Fairlamb, Gillian Burger, Daniela Conidi, Chris Bye and Weiwei Du EnviroSim Associates Ltd., Hamilton ON Canada; * Alexander Process Consulting, Sandton, South Africa

    MODELLING FULL-SCALE GRANULAR SLUDGE SEQUENCING TANK PLANT PERFORMANCE

    GRANULAR SLUDGE SEQUENCING TANK (GSST) OPERATION IN

    BioWin

    MIXING PHASE

    • Granules and mixed liquor well mixed.

    • Aeration continuous or on/off.

    • DO setpoint or air flowrate.

    SETTLING PHASE

    • Granules immediately settled on base of the reactor (with a void volume).

    • Mixed liquor solids settle on top of the granular sludge.

    • Waste activated sludge (WAS) withdrawn from bottom layer of settled mixed liquor solids.

    • Granules not removed during wasting - only bulk mixed liquor.

    FEED PHASE

    • Influent feed typically commences well into the settling period.

    • Upper section of the reactor should be well-clarified liquid.

    • Distributed across the base - into granular sludge voidage.

    • Plug-flow up through the reactor.

    • Displaced liquid overflows into launders as effluent.

    DECANT PHASE

    • Small decant of clarified liquid to drop the liquid level below the launders.

    • Avoid spillage of mixed reactor contents when next cycle starts.

    MODELLING APPROACH

    • Granular sludge based on BioWin’s 1D biofilm model. Biofilm thickness equivalent to granule radius.

    • Settling of mixed liquor (non-granule) solids based on 1D flux model. Liquid above bed of settled granules divided into n equal-depth layers during settling.

    • Full BioWin ASDM applied throughout.

    • Detailed phys-chem modelling (pH, chemical precipitation, gas/liquid mass transfer, etc.).

    ….. CONSEQUENCES AND LIMITATIONS

    • Does not predict new granule “formation”.

    • Diameter of granules changes dynamically depending on loading, and solids impingement/erosion.

    • Granule size distribution not considered.

    • No steady state solution. GSST model simulated from initial values for approximately 4 SRTs to reach quasi-steady-state.

    Parameter Unit Modelled Measured

    Net reactor solids concentration kg m-3 10.3 > 8

    Percent total mass in the granular phase % 81 > 80

    Sludge production kg d-1 4,050 3,900

    Effluent

    Concentration

    TSS mgSS/L 18 20

    TCOD mgCOD/L 68 64

    BOD5 mg/L 4.2 9.7

    TP mgP/L 0.9 0.9

    Soluble PO4-P mgP/L 0.4 0.4

    TN mgN/L 7.1 6.9

    Ammonia mgN/L 0.8 1.1

    MODELLING A FULL-SCALE SYSTEM

    BioWin GSST model calibrated to the full-scale Nereda® process at Garmerwolde, Netherlands*:

    • Buffer tank followed by two parallel GSSTs with a total volume of 19,200 m3 (9,600 m3 each).

    • Average dry weather influent flow is 28,600 m3/d.

    *Pronk, M., de Kreuk, M.K., de Bruin, B., Kamminga, P., Kleerebezem, R. and M.C.M van Loosdrecht. (2015), Full scale performance of the aerobic granular sludge process for sewage treatment. Wat. Res., 84, 207-217.

    TYPICAL SIMULATION RESULTS

    User specifies:

    • Initial granule settled volume fraction (FG).

    • Initial granule diameter (D).

    • Voidage fraction (E) in settled granule bed.

    • Operating cycle.

    TYPICAL RANGES:

    • D from 0.6 to 1.5 mm.

    • E from 20 to 28%.

    • Granular surface area to tank volume ratio [A/Vt] from 300 to 500 m2/m3.

    Dynamic behaviour in the system is quite complex:

    • BioWin GSST model captures ability of these systems to remove N and P.

    • Growth (and decay) of different biomass species within the granule and bulk mixed liquor.

    User-defined parameters used to calculate a base granular surface area (A) [in metric units] :

    Modelling results demonstrate capacity of the GSST to biologically remove nitrogen and phosphorous.