An MRRDC Short Course Influent Characterization for Wastewater Modeli - PDF document

1 1/25/2018 An MRRDC Short Course: Influen
1/25/2018 An MRRDC Short Course: Influent Characterization for Wastewater ModelingThursday, January 25, 20181 –3 p.m. ET 1/25/2018 How to Participate Today •Listen using Mic & •Or, select “Use Telephone” and dial the conference (please remember long distance phone charges apply).Submit your questions using the Questions pane.A recording will be availablefor replay shortly after this Today’s Moderator John

2 B. Copp Ph.D.Primodal Inc.Hamilton, Onta
B. Copp Ph.D.Primodal Inc.Hamilton, Ontario 1/25/2018 Influent –Jan. 25, 2018•Topics: •Introduction to Influent Characterisation•Influent Characterisation Methods•Modelling Case Studies Influent Characterization for Wastewater Modeling Influent –Jan. 25, 2018 Chris TanushAlyssaMattByeWadhawanMayer TebowEnviroSimDynamitaHazen&SawyerKimley-Horn Influent Characterization for Wastewater Modeling 1/25/2018 Chr

3 istopher Bye, Ph.D., P.Eng. Wastewater C
istopher Bye, Ph.D., P.Eng. Wastewater CharacterizationIntroduction –Why it is Important 1/25/2018 Influent wastewater composition has a significant impact on WRRF operation and Sludge production and disposal costs Nutrient removal system performance Historically, our industry has focussed on Obviously, this is an important driver!a few samples a week)Parameters (BOD and TSS?) 1/25/2018 Why Does Influent M

4 atter?Modern treatment facilities being
atter?Modern treatment facilities being asked Trend now is to refer to WWTPs as WRRFs usage –aiming for neutrality or net- Why Does Influent Matter? 1/25/2018 Why Does Influent Matter?More input than just BOD and TSS Zone Zone Aerobic Zone Process Inputs:Wastewater CharacteristicsDynamic Patterns Process Model Variables:Biological ReactionsPhysical/Chemical Process Operating Recycle RatesDO Control Setpoin

5 ts Process Configuration:Flow RoutingRea
ts Process Configuration:Flow RoutingReactor StagingRecycle Streams WERF Methods of Wastewater Characterization for Activated Sludge Modeling (2003) What’s in Wastewater?Complex mix of organics and inorganics“Wastewater characteristics” refers to Defined according to how the components behave in / impact the 1/25/2018 What’s in Wastewater?oxygen demand (COD) rather than BOD What’s in Wastewater?Only measu

6 res the organics used for respiration, i
res the organics used for respiration, ignores what is converted to bacterial biomassIgnores unbiodegradable particulate BOD 1/25/2018 What’s in Wastewater?Measures electron-donating potential of Captures all organics, WASConsumed MASS BALANCE What’s in Wastewater? Total Inuent CODCODT,INF Biodegradable COD SlowlyBiodegradableSBCOD (X Unbiodegradable COD SolubleUnbiodegradable ParticulateUnbiodegradable R

7 eadilyBiodegradableRBCOD (S Biomass Comp
eadilyBiodegradableRBCOD (S Biomass ComplexBSC SCFABSA Colloidal Particulate 1/25/2018 First Level of CharacteristicsActive biomassBOD and TSS! Biodegradable portion Total Inuent CODCODT,INF Biodegradable COD SlowlyBiodegradableSBCOD (X Unbiodegradable COD SolubleUnbiodegradable ParticulateUnbiodegradable ReadilyBiodegradableRBCOD (S Biomass ComplexBSC SCFABSA Colloidal Particulate 1/25/2018 Biodegradable

8 portion“Readily” portion consists of sma
portion“Readily” portion consists of small molecules organisms rapidly take up and requiring extracellular breakdown before Total Inuent CODCODT,INF Biodegradable COD SlowlyBiodegradableSBCOD (X Unbiodegradable COD SolubleUnbiodegradable ParticulateUnbiodegradable ReadilyBiodegradableRBCOD (S Biomass ComplexBSC SCFABSA Colloidal Particulate Unbiodegradable portionMaterial not degraded under conditions To

9 tal Inuent CODCODT,INF Biodegradable COD
tal Inuent CODCODT,INF Biodegradable COD SlowlyBiodegradableSBCOD (X Unbiodegradable COD SolubleUnbiodegradable ParticulateUnbiodegradable ReadilyBiodegradableRBCOD (S Biomass ComplexBSC SCFABSA Colloidal Particulate 1/25/2018 Unbiodegradable portionSoluble portion passes through WRRFGenerally not a concern since not often a discharge limit (perhaps for industrial WW) Total Inuent CODCODT,INF Biodegradable

10 COD SlowlyBiodegradableSBCOD (X Unbiode
COD SlowlyBiodegradableSBCOD (X Unbiodegradable COD SolubleUnbiodegradable ParticulateUnbiodegradable ReadilyBiodegradableRBCOD (S Biomass ComplexBSC SCFABSA Colloidal Particulate Unbiodegradable portionParticulate portion forms significant Impacts plant sludge production and Total Inuent CODCODT,INF Biodegradable COD SlowlyBiodegradableSBCOD (X Unbiodegradable COD SolubleUnbiodegradable ParticulateUnbio

11 degradable ReadilyBiodegradableRBCOD (S
degradable ReadilyBiodegradableRBCOD (S Biomass ComplexBSC SCFABSA Colloidal Particulate 1/25/2018 Historically thought to be very low ( Total Inuent CODCODT,INF Biodegradable COD SlowlyBiodegradableSBCOD (X Unbiodegradable COD SolubleUnbiodegradable ParticulateUnbiodegradable ReadilyBiodegradableRBCOD (S Biomass ComplexBSC SCFABSA Colloidal Particulate Active biomass portion•More recent research has shown

12 it can be significant (e.g.� 10%
it can be significant (e.g.� 10%) Total Inuent CODCODT,INF Biodegradable COD SlowlyBiodegradableSBCOD (X Unbiodegradable COD SolubleUnbiodegradable ParticulateUnbiodegradable ReadilyBiodegradableRBCOD (S Biomass ComplexBSC SCFABSA Colloidal Particulate 1/25/2018 Why Does It Matter? Examples!Readily Biodegradable COD PortionImpact on oxygen demand Why Does It Matter? Examples! 1/25/2018 Why Does It

13 Matter? Examples!Readily Biodegradable C
Matter? Examples!Readily Biodegradable COD PortionImpact on bioP performance Why Does It Matter? Examples! 1/25/2018 Why Does It Matter? Examples!Unbiodegradable Particulate COD Portion Why Does It Matter? Examples! 1/25/2018 Why Does It Matter? Examples! Why Does It Matter? Examples!Active Biomass COD Portion 1/25/2018 Why Does It Matter? Examples! Influent characterization the most Influent composition a

14 ffects everything – 1/25/2018 characteri
ffects everything – 1/25/2018 characteristics for model input TanushWadhawan,Ph.D.Dynamita,Toronto,Ontario, 1/25/2018 Methods for Wastewater Characterization in Activated Sludge TanushWadhawan, PhD influentcharacterizationmeasurementsConvertingmeasurementsinto 1/25/2018 Grab sample -A sample taken from one is happening right then.Multiple samples taken from one point at multiple times and integrated togeth

15 er for Pulled from a location that provi
er for Pulled from a location that provides a compositeMultiple grab samples at different flow periodsAveraging over the course of a day Grab requiredTemperatureNitrogen species –TN, NO3-N, NHx-NSolids –TSS, VSSPhosphorusGrab or Composite 1/25/2018 Chain of custodyName of person collecting sampleEach person having custody (w/ date and Required for lab validation of results Total Influent CODCOD Filtered CO

16 DCODVFA COD VFA B U B C = colloidalX = p
DCODVFA COD VFA B U B C = colloidalX = particulateVFA = volatile fatty acidB = biodegradableU = unbiodegradableOHO = ordinary heterotrophsE = endogenous decay productsBIO = biomass XB U Filtered Flocculated CODCODVFA Colloidal CODCOD E BIOOHO COD fractions & their impact N removal performanceAnoxic tank sizeAeration taperP removal performance 1/25/2018 Total Influent CODCOD Filtered CODCODVFA COD VFA B U B

17 C = colloidalX = particulateVFA = volat
C = colloidalX = particulateVFA = volatile fatty acidB = biodegradableU = unbiodegradableOHO = ordinary heterotrophsE = endogenous decay productsBIO = biomass XB U Filtered Flocculated CODCODVFA Colloidal CODCOD E BIOOHO COD fractions & their impact Sludge production Biodegradability test approachAerobic/Anoxic batch test & PilotsTotal biodegradable and unbiodegradable 1/25/2018 Filtration vs respirometr

18 y Glassfiber(1.2 Membrane Rawsample:TCOD
y Glassfiber(1.2 Membrane Rawsample:TCOD Filtrate1:FCOD Filtrate2:FFCOD Total Influent CODCOD Filtered CODCODVFA COD VFA B U B C = colloidalX = particulateVFA = volatile fatty acidB = biodegradableU = unbiodegradableOHO = ordinary heterotrophsE = endogenous decay productsBIO = biomass XB U Filtered Flocculated CODCODVFA Colloidal CODCOD E BIOOHO 1/25/2018 FCOD and PCOD XB+ CB+ CU+ SB+ SU Filtration Glassfi

19 ber(1.2 Rawsample:TCOD Filtrate: B+ CU+
ber(1.2 Rawsample:TCOD Filtrate: B+ CU+ SB+ SU PCODTCOD Key steps -Homogenizing sample for TCOD measurement.-Rinse drying filters-Using same filter size (1.2-1.5 micron) Total Influent CODCOD Filtered CODCODVFA COD VFA B U B C = colloidalX = particulateVFA = volatile fatty acidB = biodegradableU = unbiodegradableOHO = ordinary heterotrophsE = endogenous decay productsBIO = biomass XB U Filtered Flocculated

20 CODCODVFA Colloidal CODCOD E BIOOHO 1/2
CODCODVFA Colloidal CODCOD E BIOOHO 1/25/2018 Soluble COD and ColloidalCOD XB+ CB+ CU+ SB+ SU Filtration Glassfiber(1.2 Rawsample:TCOD Filtrate: B+ CU+ SB+ SU PCODTCOD Key steps -ZnSO4.-Rinse drying filters-Using same filter size Flocculation Filtrate2:FFCOD Flocculant: ZnSO4 B+ SU CODFCODFFCOD B+ CU 0.45 Total Influent CODCOD Filtered CODCODVFA COD VFA B U B C = colloidalX = particulateVFA = volatile fat

21 ty acidB = biodegradableU = unbiodegrada
ty acidB = biodegradableU = unbiodegradableOHO = ordinary heterotrophsE = endogenous decay productsBIO = biomass XB U Filtered Flocculated CODCODVFA Colloidal CODCOD E BIOOHO 1/25/2018 Estimating SB and SU using FiltrationSystems with SRT more than 3 daysFFCOD effluentFFCOD influent –FFCOD effluent SB usingRespirogram 020406080Time (min) Area = M/L RBCOD = M 1/25/2018 Total Influent CODCOD Filtered

22 CODCODVFA COD VFA B U B C = colloidalX
CODCODVFA COD VFA B U B C = colloidalX = particulateVFA = volatile fatty acidB = biodegradableU = unbiodegradableOHO = ordinary heterotrophsE = endogenous decay productsBIO = biomass XB U Filtered Flocculated CODCODVFA Colloidal CODCOD E BIOOHO Total biodegradable COD –Filtered biodegradable CODBOD tests -8-20 daysorder rate constant Model calibration of a pilot plantXB and XU, and XOHO OHO -30 mgCOD/LMu

23 –8.5 d-1 1/25/2018 Measurements to mode
–8.5 d-1 1/25/2018 Measurements to model input KeymeasurementsValueUnitN/LmgP/LTotalSulfurAlkalinityCaCO3/LBODValueUnitInfluentInfluentfilteredInfluentfilteredflocculatedEffluentfiltered(inert)InfluentOtherinfluentValueUnitAmmoniaN/LPhosphateNitrite+nitrateN/L Measurements to model input KeymeasurementsValueUnitN/LmgP/LTotalSulfurAlkalinityCaCO3/LBODValueUnitInfluentInfluentfilteredInfluentfilteredfloccul

24 atedEffluentfiltered(inert)InfluentOther
atedEffluentfiltered(inert)InfluentOtherinfluentValueUnitAmmoniaN/LPhosphateNitrite+nitrateN/L InfluentfractionsNameValueSIFractionVSS/TSSFractionfiltered(SCCOD,incl.colloids)total(TCOD)Fractionflocculatedfiltered(SCOD,colloids)total(TCOD)FractionVFAfiltered(SCCOD,incl.colloids)Fractionsolubleunbiodegradableorganics(SU)filtered(SCCOD,incl.colloids)Fractionparticulateunbiodegradableorganicstotal(TCOD)Fracti

25 onheterotrophstotal(TCOD)Fractionendogen
onheterotrophstotal(TCOD)Fractionendogenousproductstotal(TCOD)Fractioncolloidalunbiodegradableorganicscolloidal(SCCODSCOD)FractionNHxtotalKjeldahlnitrogen(TKN)FractiontotalphosphorusFractionbiodegradablesubstrate(SB)FractionparticulateunbiodegradablesubstrateFractionbiodegradablesubstrate(SB)Fractionparticulateunbiodegradablesubstrate ConvertorCurrent commercial simulators provide tools to convert usual me

26 asurements 1/25/2018 Influentfractionsf
asurements 1/25/2018 InfluentfractionsfromdataDefaultCalculatedfromCOD/BOD/TSS/VSSmatchMeasuredCalculatedfromestimatedfractionsVerdictFractionfiltered(SCCOD,incl.colloids)total(TCOD)40.5InfluentCOD420.0goodFractionflocculatedfiltered(SCOD,colloids)total(TCOD)20.2CalculatedinfluentfilteredCOD170.0goodFractionVFAfiltered(SCCOD,incl.colloids)11.8CalculatedInfluentfilteredflocculatedgoodFractionsolubleunbiode

27 gradableorganics(SU)filtered(SCCOD,incl.
gradableorganics(SU)filtered(SCCOD,incl.colloids)CalculatedinfluentBOD5200.0goodTSS185.0goodInfluentfractionsestimateDefaultestimatedVSS157.0goodFractionparticulateunbiodegradableorganicstotal(TCOD)14.00Fractionheterotrophstotal(TCOD)5.00Fractionendogenousproductstotal(TCOD)20.00Fractioncolloidalunbiodegradableorganicscolloidal(SCCODSCOD)20.00Fractionbiodegradablesubstrate(SB)4.00Fractionparticulateunbiode

28 gradablesubstrate(XU)1.00Fractionbiodegr
gradablesubstrate(XU)1.00Fractionbiodegradablesubstrate(SB)1.00Fractionparticulateunbiodegradablesubstrate(XU)0.10ParticulateCOD/VSSratioscomponentDefaultestimatedCOD/gbiomassvolatilesolids1.42biodegradablesubstratevolatilesolids1.80particulateunbiodegradableorganicsvolatilesolids1.30endogenousproductsvolatilesolids1.42volatilesolids1.67 Convertor What can go wrong?My model does not match dataData analysis

29 is crucial for data clean up and for ac
is crucial for data clean up and for accurate model predictionWas it sampling?Sanity checks!!! 1/25/2018 Fault detectionCheck consistency between automatic samplers and applied in the WWTP reports The proper assignment of lab results to the time of Response time of sensors or analysers including Often some data are missing or the measurement intervals are inconsistent.Depending on the objectives, data mig

30 ht have to be �TKN NHx-NPtot&#x
ht have to be �TKN NHx-NPtot� PO4-P CODtot� CODfil� CODsolCODtot� BOD5 1/25/2018 Potential outlier detection Typical Their correctness cannot be confirmedCauses for outliers are not evidentThe data appear to be correct and plausible, but still are of outside typical range Simple sanity checks•Comparison with typical ratio 1/25/2018 Simple sanity checks Historical check

31 sAssessing the validity of the data-Cons
sAssessing the validity of the data-Considerable day-to-day variations-Should not show large fluctuation Proper sample handling is crucial.Performing sanity checks can help clean up Using proper measurement techniques.Using correct filterHomogenizing sample 1/25/2018 Tanush@dynamita.com 1/25/2018 Alyssa Mayer, PE Influent Characterization 1/25/2018 Biological Nutrient Removal and Tertiary Treatment60 mgdP

32 ermitted Capacity (Operating at ~30 mgd)
ermitted Capacity (Operating at ~30 mgd) Measured Influent Concentrations Increased Significantly in Recent YearsIncreased influent loading and poor primary clarifier performance lead to concern about available remaining process capacity 100,000200,000300,000400,000500,000600,000 Load (ppd) Inf TSS Load Inf COD Load 1/25/2018 Potential Capacity Crisis! 60 mgdplant is really only a 30 mgdplant Individual Un

33 it Process CapacityClarifiersBioreactors
it Process CapacityClarifiersBioreactorsSecondaryClarifiersBlowersTWASUnit Process / ScenarioCapacity (mgd) Prompted detailed study of influent characteristics, sampling locations and process performance Historical Data InvestigationHigh Influent and Primary Influent COD, TSS concentrations, but more typical CBOD, NH3-N and Phosphorus concentrationsNo major industries or significant changes in the collecti

34 on Data quality checks (mass balance, yi
on Data quality checks (mass balance, yield, ratios) Raw Influent DataYearCODTSSCBODNH3-NTPmg/Lmg/Lmg/Lmg/Lmg/L200460943018224.87.62005102194023725.67.3200671557525225.67.520071170139129728.69.620081211118627730.69.4 1/25/2018 Primary Clarifier Data Measured PS load Calculated PS load (Pri Inf –Pri Eff) Existing Influent Box Configuration Existing Influent Sample Location Influent Recycle To Grit Removal G

35 rease buildup in influent boxDownstream
rease buildup in influent boxDownstream of Grit removal 1/25/2018 Adjusted Influent Box Configuration New Influent Influent Sample RecycleTo Grit Removal Detailed Special SamplingReconfigured Influent BoxIndividual Influent Force mains Adjusted Primary Influent Sampling LocationDetailed Wastewater methods for model calibration 1/25/2018 Reconciled Influent Characteristics Influent ConcentrationsParameter

36 DesignAverageReconciled DataCODmg/L4761,
DesignAverageReconciled DataCODmg/L4761,030635BOD5mg/L200266284TSS mg/L2301,020365TKNmg/L4042.543NH3-Nmg/L2527.628.4TPmg/L88.58 Wastewater COD FractionsFractionDefaultReconciledReadily Biodegradable Soluble0.160.19Unbiodegradable Soluble0.050.03Unbiodegradable Particulate0.130.23Slowly Biodegradable 0.660.55Higher than Process Model CalibrationReconciled data used for calibration to match primary effluent

37 , solids production, air demands, gas pr
, solids production, air demands, gas productionOccasional high COD, TSS still observed; measured BOD found to be most consistent and accurate representation of load 1/25/2018 Capacity Evaluation Completed with Reconciled Data and Updated Model CalibrationDynamic simulations under several combinations of temperatures, loading, and sludge settling propertiesResults:Liquid Stream Processes able to maintain 6

38 0 mgdcapacitySolids Handling Processes w
0 mgdcapacitySolids Handling Processes were limited below60 mgd Recommended Improvements included thickening improvements and some operational changes to primary sludge withdrawal, and planning for additional digester Lesson Learned: Representative Influent Sampling Key! Important Characteristics for Plant A Total Inuent CODCODT,INF Biodegradable COD SlowlyBiodegradableSBCOD (X Unbiodegradable COD SolubleU

39 nbiodegradable ParticulateUnbiodegradabl
nbiodegradable ParticulateUnbiodegradable ReadilyBiodegradableRBCOD (S Biomass ComplexBSC SCFABSA Colloidal Particulate 1/25/2018 HPOAS Plant rated for 143 mgdAA; 286 PeakTwo separate plants (No. 1 and No. 2) Plant 2 Plant 2 Plant 1 Plant 1 HPO HPO HPO HPO Thickening Thickening Thickening Thickening Digestion Digestion Digestion Digestion Models Created for Master Planning EffortsCapacity EvaluationConcept

40 ual Design of ImprovementsPeak Flow Mana
ual Design of ImprovementsPeak Flow Management Strategy Evaluation Conc.(mg/L)1000043291874 ResultsEffluentTSS~55mg/L 720 Minutes0.5ft/s Conc.(mg/L)1000043291874 ResultsEffluentTSS~55mg/L 720 Minutes0.5ft/s Clarifier CFD Model Low Cl Inf Medium Cl Inf High Cl Inf T 1&2-1 T 1&2-2 T 1&2-3 T 1&2-4 Secondary Ef f T 3&4-1 T 3&4-2 T 3&4-3 T 3&4-4 T 5&6-1 T 5&6-2 T 5&6-3 T 5&6-4 Sludge to CDWWTP Low Cl Inf Medium

41 Cl Inf High Cl Inf T 1&2-1 T 1&2-2 T 1&
Cl Inf High Cl Inf T 1&2-1 T 1&2-2 T 1&2-3 T 1&2-4 Secondary Ef f T 3&4-1 T 3&4-2 T 3&4-3 T 3&4-4 T 5&6-1 T 5&6-2 T 5&6-3 T 5&6-4 Sludge to CDWWTP Hydraulic Model Process Model 1 1/25/2018 Plant B Receives Sludge from 100 mgdNeighboring Plant (NWWTP) Plant 2 Plant 2 Plant 1 Plant 1 4 Options for Handling NWWTP Sludge:1)WAS and PS to Headworks (split evenly between 2 plants)2)WAS to Headworks (split evenly

42 between 2 plants) + PS to Thickeners3)P
between 2 plants) + PS to Thickeners3)PS to Headworks (split evenly between 2 plants) + WAS to Thickeners4)WAS and PS to Thickeners NWWTP WAS and PS to Headworks Significant variability in Historical CBOD and TSS concentrationsLimited record keeping of sludge transfer from 100200300400500600MarMarDecDecDecMayConcentration(mg/L)CDWWTPInfluentCBODTSSConcentration CombinedCBODConcentration CombinedConcentra

43 tion 1/25/2018 Raw wastewater at composi
tion 1/25/2018 Raw wastewater at composite at pump station in collection system (no NWWTP sludge)Primary SludgeWAS Model Calibration for Both PlantsNWWTP Sludge inputNWWTP key for impact to Plant B influent and Low Cl Inf Medium Cl Inf High Cl Inf T 1&2-1 T 1&2-2 T 1&2-3 T 1&2-4 Outfall T 3&4-1 T 3&4-2 T 3&4-3 T 3&4-4 T 5&6-1 T 5&6-2 T 5&6-3 T 5&6-4 Sludge to CDWWTP Injection Wells Clarifiers 9-12 Clar

44 ifiers 1-4 Clarifiers 5-8 NWWTP Sludge P
ifiers 1-4 Clarifiers 5-8 NWWTP Sludge Production 1/25/2018 Raw Influent Characterization based on Data Collected from Pump Station No. 1Enhanced Biological Phosphorus Removal observed Wastewater COD FractionsFractionDefaultReconciledReadily Biodegradable Soluble0.160.25VFA fraction of rbCOD0.150.31Unbiodegradable Soluble0.050.13Unbiodegradable Particulate0.130.14Slowly Biodegradable 0.660.51 0.02.04.06.08

45 .010.012.014.016.018.0InfOT1OT3OT5OT6Eff
.010.012.014.016.018.0InfOT1OT3OT5OT6EffRASPO4,mg/LNitrogen,mg/L NH3 NO3 NO2 Higher than fraction and VFA Confirmed Influent + Sludge characteristics 1/25/2018 Influent Design Criteria for Planning Period Projected NWWTP sludge production and evaluated multiple influent conditions: Influent ConditionsLoadConcentrationConcentration(mgd)(ppd)(ppd)(mg/L)(mg/L)All NWWTP Sludge to 143269,100363,500226 305 NWWT

46 P WAS to Influent, PS to Plant 2 Thicken
P WAS to Influent, PS to Plant 2 Thickeners143225,700285,100189 239 NWWTP PS to Influent, ND WAS to Plant 2 Thickeners 143222,400269,200186 226 All ND Sludge to Plant 2 Thickeners143178,900190,800150 160 Selected Design Criteria NWWTP AADFCBOD LoadTSS LoadCBOD ConcentrationConcentrationmgdppdppdmg/Lmg/LIntermediate WAS to Inf.; PS to Thickeners113188,200245,100200260WAS and PS to 143178,900190,80015

47 0160 NWWTP WAS to Headworks Secondary Pr
0160 NWWTP WAS to Headworks Secondary Process Required:New Headworks1 New HPO TrainHPO Trains5 New FST NWWTP WAS Plant 2 143 mgd NWWTP PS to Plant 2 113 mgd 1/25/2018 Important Characteristics for Total Inuent CODCODT,INF Biodegradable COD SlowlyBiodegradableSBCOD (X Unbiodegradable COD SolubleUnbiodegradable ParticulateUnbiodegradable ReadilyBiodegradableRBCOD (S Biomass ComplexBSC SCFABSA Colloidal Pa

48 rticulate Influent characteristics can h
rticulate Influent characteristics can have significant Selecting representative sample locations is Use historical data review and additional sampling to help identify data quality issuesStudies for Small Facilities 1/25/2018 Matthew Tebow, PEWest Palm Beach, Florida Influent Characterization Facilities less than 5 MGD 1/25/2018 Why Does Influent Matter?Smaller treatment facilities being asked Influent co

49 mposition affects everything – Why Does
mposition affects everything – Why Does Influent Matter?In an ideal world:We know exactly what’s coming into the equipment in the most optimal wayIn the real world:Safety factors are considered to size process basins and equipment due to the uncertainty and provide a “cushion” against upsets and regulatory violations 1/25/2018 Why Does Influent Matter? •More Sampling •Greater Certainty Potentially More •L

50 ess Sampling•Less Certainty Larger Safet
ess Sampling•Less Certainty Larger Safety Factors with Less Efficient Operations Plant A Design Capacity: 2.0 MGD AADFRegulatory Requirement: Total Effluent Nitrogen less than 10 Public access reuse and nutrient Conducted review of historical flow, BOD, and TSS No existing influent characterization 1/25/2018 Influent CharacterizationConducted abbreviated Influent Characterization and executed sampling plan

51 Influent Characterization used with an
Influent Characterization used with an Influent Specifier to calculate the remainder of influent wastewater fractions Used the Influent Characterization for process model calibration and facility design Influent Sampling Plan Approximately 500,000 gpd of existing being pumped to an existing WRRFConducted 14-day, 24-hour flow proportional Wastewater Characterization using WERF methods for model calibratio

52 n (Table 21-1) 1/25/2018 Influent Sampli
n (Table 21-1) 1/25/2018 Influent Sampling Results Typical Domestic Wastewater However, influent TKN The variation in TKN and Ammonia assumed Influent Characteristics Sampled COD/TKN Ratio: Typically, higher ratio COD/TKN (12-16) is better for denitrificationcalculate the influent 1/25/2018 Selected the design Safety Factors to account for TKN, Ammonia, and COD load variationsSteady state simulations und

53 er several combinations of flows, SRT, t
er several combinations of flows, SRT, temperatures, and loadings Evaluated 4-stage BNR Bardenpho and Deep Bed Results:Selected 2-stage MLE with Deep Bed Denitrification Filters Plant B Permitted Capacity: 3.55 MGD TMADFCurrent Flow: 1.6 MGDTotal Effluent Nitrogen requirements less than 12 mg/LPublic access reuse water (reclaimed) and nutrient removal facilityInstitutional and Industrial Loading:1.0 M

54 GD from Federal prison150,000 gpd from s
GD from Federal prison150,000 gpd from stainless steel City staff contemplated expanding the treatment process to increase capacity and maintain reclaimed water quality standards 1/25/2018 Influent Characterization Collection and analysis of Wastewater influent Influent Nitrate mg/L Process Model Calibration and Used Influent Characterization to calibrate and conduct steady state simulations under several

55 combinations of flows, SRT, temperature
combinations of flows, SRT, temperatures considering:Biological inhibition from industrial usersRegulatory requirementsDesign Safety Factors Nutrient Removal 1/25/2018 Evaluation ResultsRecommendations: Operational changes to the return activated sludge rate and DO control setpointsEstablish Local Limits for acceptable influent loadings based on revised design Safety Factors Results: Two years after imple

56 menting the operational changes and Loca
menting the operational changes and Local Limits, the WRRF consistently meets all reclaimed water quality requirements and fully treats the inst Permitted Capacity: 1.5 MGD TMADFCurrent Flow: 0.90 MGD Public access reuse water and nutrient removal facilityTotal Effluent Nitrogen requirements less than City received request from local natural gas-fired combined-cycle power generation facility to discharge c

57 ooling tower blow-down water into treatm
ooling tower blow-down water into treatment facility 1/25/2018 Influent CharacterizationCollection and analysis of at treatment facility and cooling tower blow-down COD Fractions (Total/Filtered)Nitrogen Fractions Calibration from Influent Characterization including cooling-tower blowdown waterRefined the design Safety Factors to account for TKN, Ammonia, COD, and TDS load variations based on Influent Char

58 acterizationRecommended the City not acc
acterizationRecommended the City not accept cooling-tower blowdown water due to potential biological inhibition 1/25/2018 The variation in influent characteristics is Influent Characterization can help identify and resolve process or capacity Influent Characterization is the first step Reference 1/25/2018 Final Q & A Influent –Jan. 25, 2018•Final Q & A: Tanush WadhawanAlyssa MayerHazen & SawyerMatt Tebow