SlideShare a Scribd company logo
Biological Wastewater
      Treatment
 (BOD & N removal)


        Prepared by
    Kalpesh Dankhara
Contents
 Wastewater   treatment Importance
 Type of Pollutants
 Methods of Treatment
 Biological process as Wastewater Treatment
 Microorganisms (Type, Applications and Working)
 BOD removal
 Nitrogen removal (Type of Microbes, Environment
  condition & Operational parameter)
 Activated sludge process (Components, Monitoring
  & Operation)
Wastewater Treatment
Why Treat ?

    Environmental Effects
     Image
    Reuse Implications
     Potable
     Industrial
    Regulatory Requirements
Types of Pollutants
1) Suspended Solids
    2) Dissolved Solids
    3) Colloidal Solids


   Solids may be organic (eg. Phenol, oil, bacteria) or
    inorganic (eg. Salts, Ca, Mg, silt) in nature
The “Conventional” Pollutant
Measures:
 Oxygen   (BOD, COD, DO)
 Solids content (TS)
 Nutrients (phosphorus, nitrogen)
 Acidity (pH)
 Bacteria (e.g., fecal coliform)
 Temperature
TS = TSS + TDS



  TSS=VSS+FSS              TDS=VDS+FDS


    TS = TVS + TFS
TS = organic + inorganic

                              Metcalf & Eddy
Measurements of Gross Organic
Content

   Dissolved Oxygen (DO)
   Biochemical oxygen demand (BOD)
   Chemical oxygen demand (COD)
   Total organic carbon (TOC)
   Theoretical oxygen demand (ThOD)
Biological Oxygen Demand (BOD)

   BOD:Oxygen is removed from water when
   organic matter is consumed by bacteria

   Lowoxygen conditions may kill fish and other
   organisms




   http://www.lcusd.net/lchs/mewoldsen/Water_Pollution_LCHS.ppt
Chemical Oxygen Demand
   The quantity of oxygen used in biological and non-biological
    oxidation of materials in wastewater

   The determination of chemical oxygen demand (COD) is used
    in municipal and industrial laboratories to measure the
    overall level of organic contamination in wastewater. The
    contamination level is determined by measuring the
    equivalent amount of oxygen required to oxidize organic
    matter in the sample

   BOD/COD ratio – the greater the ratio, the more oxidizable
    (biologically treatable) the waste. Ratios rarely exceed 0.8-
    0.9.
Total Organic Carbon (TOC)
 Measure  of WW pollution characteristics
 Based on the chemical formula
 Test methods use heat and oxygen, UV radiation,

  and/or chemical oxidants to convert organic
  carbon to carbon dioxide, which can then be
  measured
 Can be assessed in 5 to 10 minutes
 Theoretical > Measured
Theoretical Oxygen
Demand (ThOD)
   WW generally contains a mixture of carbon,
    hydrogen, oxygen, and nitrogen

   Calculated using stoichiometric equations

   Considers both carbonaceous and nitrogenous
    oxygen demand

       Main difference from COD
Methods of
Treatment
1) Clarification, Sedimentation, Flocculation are used for
suspended and/ or colloidal pollutants

2) Evaporation, Reverse Osmosis etc, are used for
dissolved inorganic pollutants

3) Oxidation/ Synthesis by Micro-organisms is carried
out (Biological Treatment) for Dissolved Organic
Pollutant
Biological Processes...
 cell: derives energy from oxidation of reduced
food sources (carbohydrate, protein & fats)

                    Requires…..

   microbes with the ability to degrade the waste organics
     contact time with the organics
     favorable conditions for growth
Objective of Biological
Wastewater Treatment
  To stabilize the organic matter (Soluble and

  none settleble)

  To reduce the amount of dissolved

  phosphorus and nitrogen in the final effluent
Microorganisms
 Microorganisms = single-celled organism capable

 of performing all life functions independently

 Basic unit of life = cell

                 Enzymes           Cell Wall




           C, N, P                   Wastes
            H2 O                      H2 O
             O2                       CO2
Typical animal cell:

                       animal cell

                         virus



                          bacterial cell
Bacterial Cell
Type of microorganisms
Shape of Bacteria

 Cocci
  – spherical cells, often in chains or tetrads



 Rods
  – most common shape
  – vary in shape & size



 Spiral Rod
  – curved rods
Growth
   Growth = cell division
     one cell divides to produce two equal daughter
     cells

   Generation time
     length of time required for bacterial population
    to double
Bacterial Growth: cell division
                                single cell

                                     cell elongates

                                      cell produces cell wall


                                               two daughter cells produced




The cell replicates all its components, reorganizes it into
       two cells, forms a cell wall, and separates.
Growth curve (typical phases of
growth)

                           stationary phase
 cell count




              log phase
                                              death phase




               lag phase



              time
Composition of bacterial cell:

        Percentage by weight
   Carbon                     50      Potassium            1
   Oxygen                     20      Sodium               1
   Nitrogen                   14      Calcium              0.5
   Hydrogen                    8
                                       Magnesium            0.5
   Phosphorus                  3
                                       Iron                 0.2
                                       All other elements   0.3
   Sulfur                      1




                  Cell Formula C60H84N12O24P
Requirements for Bacterial
Growth
    Nutritional
      ◦ Carbon source (waste to be degraded )
      ◦ N & P (100:5:1;C:N:P)
      ◦ Trace minerals
    Environmental
      ◦   Oxygen (terminal electron acceptor)
      ◦   Temperature
      ◦   Water
      ◦   pH
      ◦   Non-toxic
Microorganisms
Classification:
 Heterotrophic- obtain energy from oxidation of organic

  matter (organic Carbon)

   Autotrophic- obtain energy from oxidation of inorganic
    matter (CO2, NH4, H+ )

   Phototrophic- obtain energy from sunlight
Biochemical Environments
Three Major Ones

  Aerobic - oxygen


  Anoxic - nitrate


  Anaerobic - strict and facultative
Biological Treatment
   In the case of domestic wastewater treatment, the objective of
    biological treatment is:
    
        To stabilize the organic content
    
        To remove nutrients such as nitrogen and phosphorus



    Types:
                                               Attached Growth
    Aerobic Processes
                                               Suspended Growth
    Anoxic Processes
                                               Combined Systems
    Anaerobic Processes
    Combined Aerobic-Anoxic-
    Anaerobic Processes
                                               Aerobic
    Pond Processes                            Maturation
                                               Facultative
                                               Anaerobic
Major Aerobic Biological Processes
 Type of       Common Name                           Use
 Growth
 Suspended     Activated Sludge (AS)                 Carbonaceous BOD removal (nitrification)
 Growth
               Aerated Lagoons                       Carbonaceous BOD removal (nitrification)
 Attached      Trickling Filters                     Carbonaceous BOD removal. nitrification
 Growth
               Roughing Filters (trickling           Carbonaceous BOD removal
               filters with high hydraulic
               loading rates)

               Rotating Biological                   Carbonaceous BOD removal (nitrification)
               Contactors

               Packed-bed reactors                   Carbonaceous BOD removal (nitrification)
 Combined      Activated Biofilter Process           Carbonaceous BOD removal (nitrification)
 Suspended &   Trickling filter-solids contact
 Attached      process
 Growth        Biofilter-AS process
               Series trickling filter-AS process
C
Removal
Biological Carbonaceous
Removal
   aerobic
     - oxidation
                             bacteria
    CHONS + O2 + Nutrients        CO2 + NH3 + C5H7NO2 (organic matter)
                                           (new bacterial cells)

                                        + other end products
     - endogenous respiration
                 bacteria
   C5H7NO2 + 5O2    5CO2 + 2H2O + NH3 + energy      (cells)
N
Removal
What are the forms of nitrogen found in
wastewater?

     Forms   of nitrogen:
                             Organic N
                       TKN
                             Ammonia      Total
                             Nitrite       N
                             Nitrate
Why is it necessary to treat the forms
of nitrogen?
    Improve receiving stream quality
    Increase chlorination efficiency

    Minimize pH changes in plant

    Increase suitability for reuse

    Prevent NH toxicity
                4
    Protect groundwater from nitrate contamination
    Increases aquatic growth (algae)

    Increases DO depletion
How is N removed or altered by
secondary (biological) treatment?
     Biological
               assimilation
     BUG = C60H86O23N12P

     0.13   lb N/lb of bug mass

     Biological
               conversion by nitrification
     and denitrification
Nitrification

 NH +  Nitrosomonas  NO2-
    4
 NO -  Nitrobacter  NO -
    2                    3


 Notes:
 
   Aerobic process
 
   Control by SRT (4 + days)
  Uses oxygen  1 mg of NH + uses 4.6 mg O
                             4              2
 
   Depletes alkalinity                       1
   mg NH4+ consumes 7.14 mg alkalinity
 
   Low oxygen and temperature =
   difficult to operate
Denitrification

   NO3-  denitrifiers (facultative bacteria)  N2
    gas + CO2 gas

   Notes:
       Anoxic process
       Control by volume and oxic MLSS recycle to anoxic
        zone
       N used as O2 source = 1 mg NO3- yields 2.85 mg O2
        equivalent
       Adds alkalinity  1 mg NO3- restores 3.57 mg
        alkalinity
       High BOD and NO3- load and low temperature =
        difficult to operate
Biological Nitrogen Removal

      Nitrification
  -energy
     Nitrosomonas
     NH4+ + 1.5 O2         NO2- + H2O + 2 H+ + (240-350 kJ)       (1)
      Nitrobacter
      NO2- + 0.5 O2        NO3- + (65-90 kJ) (2)

  -assimilation
     Nitrosomonas
   15 CO2 + 13 NH4+               10 NO2- + 3 C5H7NO2 + 23 H+ +4 H2O        (3)
     Nitrobacter
   5 CO2 + NH4+ +10 NO2- +2 H2O              10 NO3- + C5H7NO2 + H+         (4)

  - overall reaction

   NH4+ +1.83 O2 + 1.98 H CO3-     0.021 C5H7NO2 + 0.98 NO3- + 1.04 1H2O + 1.88H2CO3
Biological Nitrogen Removal

    factors affecting nitrification
        temperature
        substrate concentration
        dissolved oxygen
        pH
        toxic and inhibitory substances




        NH 4 − N   DO  0.095(T −15)
µ = µm                 ⋅          ( e )[1 − 0.83(7.2 − pH )]
        K N + NH 4 − N   K O + DO 
Biological Nitrogen Removal

     Denitrification
         Nitrate is used instead of oxygen as terminal electron acceptor
         Denitrifiers require reduced carbon source for energy and
          cell synthesis
         Denitrifiers can use variety of organic carbon source - methanol, ethanol and
          acetic acid

                 NO -3  → NO -2  → NO  → N 2 O  → N 2
                                               




NO -3 + 1.08CH 3OH + H +  → 0.065C5 H 7 O 2 N + 0.47N 2 + 0.76CO 2 + 2.44H 2 O
                         
Biological Nitrogen Removal

   factors affecting denitrification

       temperature

       dissolved oxygen

       pH
Activated Sludge
     Process
Activated Sludge Process
 There are two phases to biological treatment



 ◦ “Mineralization” of the waste organics producing
   CO2 + H2O + microbes
 ◦ Separation of the microbes and water
Activated Sludge Process



  Q                        Q+R                   Q-W
          Aeration basin            Clarifier
                                     Clarifier   (OUT)
 (IN)                      (MLSS)



          R
        (RAS)
                                     W (WAS)
Definitions: (measurement & control )
    MLSS   / MLVSS ( active microbes )
    F / M ( food to mass )
    RAS / WAS ( recycle & waste )
    MCRT ( sludge age )
    DOUR / SOUR ( how active? )
    SVI / SSV30 ( settleability)
MLSS
Mixed Liquor Suspended Solids



   The suspended solids in
      the totally mixed
    aeration basin liquid
MLVSS
Mixed Liquor Volatile Suspended Solids
 The   part of MLSS which will combust.

A good approximation of the active
 biological portion of the MLSS (75 - 85%)

 In   a well oxidised sample,
             MLVSS = biomass
Food to Mass Ratio


 F + M + O2                M + CO2 +H2O

       F/M        =      kg /day BOD5
                          kg MLVSS

     Concept: Microorganisms work best
     with an optimum amount of food
Recycle (RAS)
   Recycle converts once-through system into
    Activated Sludge
   Clarifier separates solids (biomass), thickens
    and allows return of microorganisms (RAS)
   Recycle or clarifier underflow influences
    thickening and mass balances
   Retention Time of Biomass no longer limited by
    Hydraulic Retention time
Wasting (WAS)

    Biomass is created as the microorganisms grow
     = Sludge Yield (kg/kg-deltaBOD)
    Sludge Yield varies by type of waste and
     operating conditions (e.g. growth rate)
    For Equilibrium conditions, Yield, or Excess
     Sludge must be removed or Wasted
    Excess sludge can involve significant influent
     inert TSS
Sludge Age or MCRT

     MCRT = Mean Cell Residence Time
     System level, or Gross parameter
     One definition is “average time biomass stays
      in the system”
     Calculated by Total Solids in System / Total
      Solids being Wasted
     Mathematically = 1/net growth rate
MCRT =
[MLVSS (ppm) * Aeration Vol. (m3)]
 ___________________________________
     [TSS(ppm) * Eff (m3/d)]
                 +
  [RAS MLVSS (ppm) * WAS (m3/d)]


or MCRT = Total Solids/ Wasted Solids

 In practice, MLSS usually used
Oxygen Uptake
   DOUR and SOUR or Respiration Rate (RR)
    can provide useful information on health of
    biomass compared to normal operation
   High F/M operation = high growth rate =
    High RR (e.g. 20+ mg/l/hr/g/VSS)
   Extended Aeration (“old” sludge) = Low F/M
    = “Low” RR (e.g. 3- 12 )
   Do not confuse RR with total O2 demand
DOUR = (6.5-3.3)/(10-2) = 3.2/8 = 0.4 mg/l/min
                   = 24 mg/l/hr
   SOUR-- Specific Oxygen Uptake Rate or
   DOUR/ppm MLVSS


                       Oxygen Uptake Rate (DOUR)

              10
               8
D.O. (mg/l)




               6
               4
               2
               0
                   0   1   2   3   4    5   6    7   8   9   10
                                   Time (mins)
SOUR-- Why do it?
 Indicates   the health of the bugs

 Can   show if there is a toxin the basin

 Has  been shown to be correlated to the final
 effluent COD so it can be used as an indication of
 the effluent quality during an upset or change in
 operating conditions.
SVI

          SVI = SSV30(ml) *1000
                MLSS (mg/L)

= Volume occupied by 1 gm of MLSS after 30 min of
settling (usually 1 L sample)

  SSV30 = Sludge settled volume after 30
           minutes in ml/L
SVI target         50 - 150
                          1000 ml
    Aeration
     MLSS                Effluent




                         Sludge

  Sludge Recycle
Information from Settling Tests
      (SVI)
   Graph of Rate of Settling = age of sludge

   Supernatant Condition = cloudy, ash, pin floc

   Production of Gas after 1- 2+ hr = denitrification

   Floating material, SVI = Filamentous Bulking

   Colour of Sludge e.g. brown or gray

   Shape of curve and Expected RAS concentration
Example of Settling Data

           1200

           1000                                    Young bugs - poor settling,
                                                   potential for carryover
           800
                            Normal Bugs, good settling                        CaseA
SSV (ml)




           600              and good water quality                            CaseB
                                                                              CaseC
           400

           200
                      Old Bugs- fast settling, pin floc carryover potential
             0
                  0   5   10 15 20 25 30 40 50 60 90 120 180
                                  Time (mins)
Operational Parameters in
Activated Sludge Process
  Nature of substrate
  F/M ratio

  Dissolved Oxygen

  RAS

  Reactor Configuration

  pH

  Reaction kinetics

  Reactor Hydraulics

  Nutrients
Activated Sludge Process
  Monitoring
   Flows
   Organic Concentrations and Loadings
   Solids concentrations
   Settleability data
   Oxygen
    Dissolved oxygen (DO) in aeration basin
    DOUR (Dissolved oxygen uptake rate (mg/L/hr)
Activated Sludge Process and biological Wastewater treatment system

More Related Content

What's hot

WASTE WATER TREATMENT
WASTE WATER TREATMENTWASTE WATER TREATMENT
WASTE WATER TREATMENT
Sheama Farheen Savanur
 
Mbbr
MbbrMbbr
Conventional wastewater treatment
Conventional wastewater treatment Conventional wastewater treatment
Conventional wastewater treatment
SitalParajuli
 
Biological n and p removal
Biological n and p removalBiological n and p removal
Biological n and p removal
Akepati S. Reddy
 
Advanced waste water treatment
Advanced waste water treatmentAdvanced waste water treatment
Advanced waste water treatment
Anitha Vijayakumar
 
Design criteria for waste water treatment
Design criteria for waste water treatmentDesign criteria for waste water treatment
Design criteria for waste water treatment
Bibhabasu Mohanty
 
Activated Sludge Process
Activated Sludge ProcessActivated Sludge Process
Activated Sludge ProcessNiaz Memon
 
WATER & WASTEWATER TREATMENT
WATER & WASTEWATER TREATMENTWATER & WASTEWATER TREATMENT
WATER & WASTEWATER TREATMENTNiaz Memon
 
Waster water treatment
Waster water treatmentWaster water treatment
Waster water treatment
Bibhabasu Mohanty
 
Trickling filter ppt
Trickling filter pptTrickling filter ppt
Trickling filter ppt
Shilpa Patil
 
Charecteristics of wastewater
Charecteristics of wastewaterCharecteristics of wastewater
Charecteristics of wastewater
Venuri Lakshani
 
UASB reactors
UASB reactorsUASB reactors
UASB reactors
Akepati S. Reddy
 
Waste water treatment by reverse osmosis
Waste water treatment by reverse osmosisWaste water treatment by reverse osmosis
Waste water treatment by reverse osmosis
Asif - A - Khuda Pappu
 
Biological treatment of hazardous waste
Biological treatment of hazardous wasteBiological treatment of hazardous waste
Biological treatment of hazardous waste
AsrarShah2
 
Industrial wastewater treatment
Industrial wastewater treatmentIndustrial wastewater treatment
Industrial wastewater treatment
Nitin Yadav
 
Tertiary treatment
Tertiary treatmentTertiary treatment
Tertiary treatment
Azad Khan
 
Advanced wastewater treatment
Advanced wastewater treatmentAdvanced wastewater treatment
Advanced wastewater treatment
Nikka Lopez
 
L 24 Activated Sludge Process
L 24 Activated Sludge ProcessL 24 Activated Sludge Process
L 24 Activated Sludge Process
Dr. shrikant jahagirdar
 

What's hot (20)

WASTE WATER TREATMENT
WASTE WATER TREATMENTWASTE WATER TREATMENT
WASTE WATER TREATMENT
 
Treatment and disposal of sludge
Treatment and disposal of sludgeTreatment and disposal of sludge
Treatment and disposal of sludge
 
Mbbr
MbbrMbbr
Mbbr
 
Conventional wastewater treatment
Conventional wastewater treatment Conventional wastewater treatment
Conventional wastewater treatment
 
Biological n and p removal
Biological n and p removalBiological n and p removal
Biological n and p removal
 
Advanced waste water treatment
Advanced waste water treatmentAdvanced waste water treatment
Advanced waste water treatment
 
Design criteria for waste water treatment
Design criteria for waste water treatmentDesign criteria for waste water treatment
Design criteria for waste water treatment
 
Activated Sludge Process
Activated Sludge ProcessActivated Sludge Process
Activated Sludge Process
 
WATER & WASTEWATER TREATMENT
WATER & WASTEWATER TREATMENTWATER & WASTEWATER TREATMENT
WATER & WASTEWATER TREATMENT
 
Waster water treatment
Waster water treatmentWaster water treatment
Waster water treatment
 
Trickling filter ppt
Trickling filter pptTrickling filter ppt
Trickling filter ppt
 
Charecteristics of wastewater
Charecteristics of wastewaterCharecteristics of wastewater
Charecteristics of wastewater
 
UASB reactors
UASB reactorsUASB reactors
UASB reactors
 
Waste water treatment by reverse osmosis
Waste water treatment by reverse osmosisWaste water treatment by reverse osmosis
Waste water treatment by reverse osmosis
 
Biological treatment of hazardous waste
Biological treatment of hazardous wasteBiological treatment of hazardous waste
Biological treatment of hazardous waste
 
Industrial wastewater treatment
Industrial wastewater treatmentIndustrial wastewater treatment
Industrial wastewater treatment
 
Tertiary treatment
Tertiary treatmentTertiary treatment
Tertiary treatment
 
Advanced wastewater treatment
Advanced wastewater treatmentAdvanced wastewater treatment
Advanced wastewater treatment
 
Leachate Treatment
Leachate TreatmentLeachate Treatment
Leachate Treatment
 
L 24 Activated Sludge Process
L 24 Activated Sludge ProcessL 24 Activated Sludge Process
L 24 Activated Sludge Process
 

Similar to Activated Sludge Process and biological Wastewater treatment system

Advanced Training Wastewater Treatment.ppt
Advanced Training Wastewater Treatment.pptAdvanced Training Wastewater Treatment.ppt
Advanced Training Wastewater Treatment.ppt
MohammedHassan901292
 
Bioremidiation Concept.pptx
Bioremidiation Concept.pptxBioremidiation Concept.pptx
Bioremidiation Concept.pptx
RajeevPotadar4
 
Biological Basis of Wastewater Treatment.pptx
Biological Basis of Wastewater Treatment.pptxBiological Basis of Wastewater Treatment.pptx
Biological Basis of Wastewater Treatment.pptx
NevinYagci1
 
Nitrogen and sulfur cycles
Nitrogen and sulfur cyclesNitrogen and sulfur cycles
Nitrogen and sulfur cycles
Ahmed Mayla
 
Anaerobic-treatment-and-biogas-sbozjj.ppt
Anaerobic-treatment-and-biogas-sbozjj.pptAnaerobic-treatment-and-biogas-sbozjj.ppt
Anaerobic-treatment-and-biogas-sbozjj.ppt
ArshadWarsi13
 
Anaerobic treatment and biogas (short).ppt
Anaerobic treatment and biogas (short).pptAnaerobic treatment and biogas (short).ppt
Anaerobic treatment and biogas (short).ppt
ArshadWarsi13
 
Anaerobic-treatment-and-biogas-sbozjj.ppt
Anaerobic-treatment-and-biogas-sbozjj.pptAnaerobic-treatment-and-biogas-sbozjj.ppt
Anaerobic-treatment-and-biogas-sbozjj.ppt
AnandSivakumar6
 
CH-3. Anaerobic treatment of wastewater
CH-3. Anaerobic treatment of wastewaterCH-3. Anaerobic treatment of wastewater
CH-3. Anaerobic treatment of wastewater
TadviDevarshi
 
02d secondary treatment
02d secondary treatment02d secondary treatment
02d secondary treatment
Akepati S. Reddy
 
Anaerobic treatment and biogas (short)
Anaerobic treatment and biogas (short)Anaerobic treatment and biogas (short)
Anaerobic treatment and biogas (short)Humayun Basha
 
Lecture 1 unit i environmental pollutant
Lecture 1 unit i environmental pollutantLecture 1 unit i environmental pollutant
Lecture 1 unit i environmental pollutant
Vikesh Lade
 
Routine analysis of wastewaters quality parameters
Routine analysis of wastewaters quality parametersRoutine analysis of wastewaters quality parameters
Routine analysis of wastewaters quality parameters
Arvind Kumar
 
lecture on characterization 2015
lecture on characterization 2015lecture on characterization 2015
lecture on characterization 2015
Manish Goyal
 
Ozone_treatment_for_wastewater_treatment.pptx
Ozone_treatment_for_wastewater_treatment.pptxOzone_treatment_for_wastewater_treatment.pptx
Ozone_treatment_for_wastewater_treatment.pptx
daudpanjaitan2
 
Biotechnology microorganisms in environmental protection.ppt
Biotechnology microorganisms in environmental protection.pptBiotechnology microorganisms in environmental protection.ppt
Biotechnology microorganisms in environmental protection.ppt
aiga1090
 
Effluent Treatment Plant in Oil Refineries.pptx
Effluent Treatment Plant in Oil Refineries.pptxEffluent Treatment Plant in Oil Refineries.pptx
Effluent Treatment Plant in Oil Refineries.pptx
HritwikGhosh
 
Problems & Profit With Waste
Problems & Profit With WasteProblems & Profit With Waste
Problems & Profit With Wasterossbiology
 
Nitrification and Treatment Plants
Nitrification and Treatment PlantsNitrification and Treatment Plants
Nitrification and Treatment Plants
Amna Jalil
 
Nitrogen cycle
Nitrogen cycleNitrogen cycle
Nitrogen cycle
hinathashmi
 

Similar to Activated Sludge Process and biological Wastewater treatment system (20)

Advanced Training Wastewater Treatment.ppt
Advanced Training Wastewater Treatment.pptAdvanced Training Wastewater Treatment.ppt
Advanced Training Wastewater Treatment.ppt
 
Bioremidiation Concept.pptx
Bioremidiation Concept.pptxBioremidiation Concept.pptx
Bioremidiation Concept.pptx
 
Biological Basis of Wastewater Treatment.pptx
Biological Basis of Wastewater Treatment.pptxBiological Basis of Wastewater Treatment.pptx
Biological Basis of Wastewater Treatment.pptx
 
Nitrogen and sulfur cycles
Nitrogen and sulfur cyclesNitrogen and sulfur cycles
Nitrogen and sulfur cycles
 
Anaerobic-treatment-and-biogas-sbozjj.ppt
Anaerobic-treatment-and-biogas-sbozjj.pptAnaerobic-treatment-and-biogas-sbozjj.ppt
Anaerobic-treatment-and-biogas-sbozjj.ppt
 
Anaerobic treatment and biogas (short).ppt
Anaerobic treatment and biogas (short).pptAnaerobic treatment and biogas (short).ppt
Anaerobic treatment and biogas (short).ppt
 
Anaerobic-treatment-and-biogas-sbozjj.ppt
Anaerobic-treatment-and-biogas-sbozjj.pptAnaerobic-treatment-and-biogas-sbozjj.ppt
Anaerobic-treatment-and-biogas-sbozjj.ppt
 
CH-3. Anaerobic treatment of wastewater
CH-3. Anaerobic treatment of wastewaterCH-3. Anaerobic treatment of wastewater
CH-3. Anaerobic treatment of wastewater
 
02d secondary treatment
02d secondary treatment02d secondary treatment
02d secondary treatment
 
Anaerobic treatment and biogas (short)
Anaerobic treatment and biogas (short)Anaerobic treatment and biogas (short)
Anaerobic treatment and biogas (short)
 
Lecture 1 unit i environmental pollutant
Lecture 1 unit i environmental pollutantLecture 1 unit i environmental pollutant
Lecture 1 unit i environmental pollutant
 
Routine analysis of wastewaters quality parameters
Routine analysis of wastewaters quality parametersRoutine analysis of wastewaters quality parameters
Routine analysis of wastewaters quality parameters
 
lecture on characterization 2015
lecture on characterization 2015lecture on characterization 2015
lecture on characterization 2015
 
Ozone_treatment_for_wastewater_treatment.pptx
Ozone_treatment_for_wastewater_treatment.pptxOzone_treatment_for_wastewater_treatment.pptx
Ozone_treatment_for_wastewater_treatment.pptx
 
Biotechnology microorganisms in environmental protection.ppt
Biotechnology microorganisms in environmental protection.pptBiotechnology microorganisms in environmental protection.ppt
Biotechnology microorganisms in environmental protection.ppt
 
Effluent Treatment Plant in Oil Refineries.pptx
Effluent Treatment Plant in Oil Refineries.pptxEffluent Treatment Plant in Oil Refineries.pptx
Effluent Treatment Plant in Oil Refineries.pptx
 
Problems & Profit With Waste
Problems & Profit With WasteProblems & Profit With Waste
Problems & Profit With Waste
 
Nitrification and Treatment Plants
Nitrification and Treatment PlantsNitrification and Treatment Plants
Nitrification and Treatment Plants
 
Nitrogen cycle
Nitrogen cycleNitrogen cycle
Nitrogen cycle
 
Nitrogen cycle
Nitrogen cycleNitrogen cycle
Nitrogen cycle
 

Recently uploaded

"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
Fwdays
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Sri Ambati
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
DianaGray10
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
Abida Shariff
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User GroupODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
CatarinaPereira64715
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Product School
 

Recently uploaded (20)

"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User GroupODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
 

Activated Sludge Process and biological Wastewater treatment system

  • 1. Biological Wastewater Treatment (BOD & N removal) Prepared by Kalpesh Dankhara
  • 2. Contents  Wastewater treatment Importance  Type of Pollutants  Methods of Treatment  Biological process as Wastewater Treatment  Microorganisms (Type, Applications and Working)  BOD removal  Nitrogen removal (Type of Microbes, Environment condition & Operational parameter)  Activated sludge process (Components, Monitoring & Operation)
  • 4. Why Treat ?  Environmental Effects Image  Reuse Implications Potable Industrial  Regulatory Requirements
  • 6. 1) Suspended Solids 2) Dissolved Solids 3) Colloidal Solids  Solids may be organic (eg. Phenol, oil, bacteria) or inorganic (eg. Salts, Ca, Mg, silt) in nature
  • 7. The “Conventional” Pollutant Measures:  Oxygen (BOD, COD, DO)  Solids content (TS)  Nutrients (phosphorus, nitrogen)  Acidity (pH)  Bacteria (e.g., fecal coliform)  Temperature
  • 8. TS = TSS + TDS TSS=VSS+FSS TDS=VDS+FDS TS = TVS + TFS TS = organic + inorganic Metcalf & Eddy
  • 9. Measurements of Gross Organic Content  Dissolved Oxygen (DO)  Biochemical oxygen demand (BOD)  Chemical oxygen demand (COD)  Total organic carbon (TOC)  Theoretical oxygen demand (ThOD)
  • 10.
  • 11. Biological Oxygen Demand (BOD)  BOD:Oxygen is removed from water when organic matter is consumed by bacteria  Lowoxygen conditions may kill fish and other organisms http://www.lcusd.net/lchs/mewoldsen/Water_Pollution_LCHS.ppt
  • 12. Chemical Oxygen Demand  The quantity of oxygen used in biological and non-biological oxidation of materials in wastewater  The determination of chemical oxygen demand (COD) is used in municipal and industrial laboratories to measure the overall level of organic contamination in wastewater. The contamination level is determined by measuring the equivalent amount of oxygen required to oxidize organic matter in the sample  BOD/COD ratio – the greater the ratio, the more oxidizable (biologically treatable) the waste. Ratios rarely exceed 0.8- 0.9.
  • 13. Total Organic Carbon (TOC)  Measure of WW pollution characteristics  Based on the chemical formula  Test methods use heat and oxygen, UV radiation, and/or chemical oxidants to convert organic carbon to carbon dioxide, which can then be measured  Can be assessed in 5 to 10 minutes  Theoretical > Measured
  • 14. Theoretical Oxygen Demand (ThOD)  WW generally contains a mixture of carbon, hydrogen, oxygen, and nitrogen  Calculated using stoichiometric equations  Considers both carbonaceous and nitrogenous oxygen demand  Main difference from COD
  • 16. 1) Clarification, Sedimentation, Flocculation are used for suspended and/ or colloidal pollutants 2) Evaporation, Reverse Osmosis etc, are used for dissolved inorganic pollutants 3) Oxidation/ Synthesis by Micro-organisms is carried out (Biological Treatment) for Dissolved Organic Pollutant
  • 17. Biological Processes...  cell: derives energy from oxidation of reduced food sources (carbohydrate, protein & fats) Requires…..  microbes with the ability to degrade the waste organics  contact time with the organics  favorable conditions for growth
  • 18. Objective of Biological Wastewater Treatment  To stabilize the organic matter (Soluble and none settleble)  To reduce the amount of dissolved phosphorus and nitrogen in the final effluent
  • 20.  Microorganisms = single-celled organism capable of performing all life functions independently  Basic unit of life = cell Enzymes Cell Wall C, N, P Wastes H2 O H2 O O2 CO2
  • 21. Typical animal cell: animal cell virus bacterial cell
  • 24. Shape of Bacteria  Cocci – spherical cells, often in chains or tetrads  Rods – most common shape – vary in shape & size  Spiral Rod – curved rods
  • 25. Growth  Growth = cell division one cell divides to produce two equal daughter cells  Generation time length of time required for bacterial population to double
  • 26. Bacterial Growth: cell division single cell cell elongates cell produces cell wall two daughter cells produced The cell replicates all its components, reorganizes it into two cells, forms a cell wall, and separates.
  • 27. Growth curve (typical phases of growth) stationary phase cell count log phase death phase lag phase time
  • 28. Composition of bacterial cell: Percentage by weight  Carbon 50  Potassium 1  Oxygen 20  Sodium 1  Nitrogen 14  Calcium 0.5  Hydrogen 8  Magnesium 0.5  Phosphorus 3  Iron 0.2  All other elements 0.3  Sulfur 1 Cell Formula C60H84N12O24P
  • 29. Requirements for Bacterial Growth  Nutritional ◦ Carbon source (waste to be degraded ) ◦ N & P (100:5:1;C:N:P) ◦ Trace minerals  Environmental ◦ Oxygen (terminal electron acceptor) ◦ Temperature ◦ Water ◦ pH ◦ Non-toxic
  • 30. Microorganisms Classification:  Heterotrophic- obtain energy from oxidation of organic matter (organic Carbon)  Autotrophic- obtain energy from oxidation of inorganic matter (CO2, NH4, H+ )  Phototrophic- obtain energy from sunlight
  • 31. Biochemical Environments Three Major Ones  Aerobic - oxygen  Anoxic - nitrate  Anaerobic - strict and facultative
  • 32. Biological Treatment  In the case of domestic wastewater treatment, the objective of biological treatment is:  To stabilize the organic content  To remove nutrients such as nitrogen and phosphorus Types: Attached Growth Aerobic Processes Suspended Growth Anoxic Processes Combined Systems Anaerobic Processes Combined Aerobic-Anoxic- Anaerobic Processes Aerobic Pond Processes Maturation Facultative Anaerobic
  • 33. Major Aerobic Biological Processes Type of Common Name Use Growth Suspended Activated Sludge (AS) Carbonaceous BOD removal (nitrification) Growth Aerated Lagoons Carbonaceous BOD removal (nitrification) Attached Trickling Filters Carbonaceous BOD removal. nitrification Growth Roughing Filters (trickling Carbonaceous BOD removal filters with high hydraulic loading rates) Rotating Biological Carbonaceous BOD removal (nitrification) Contactors Packed-bed reactors Carbonaceous BOD removal (nitrification) Combined Activated Biofilter Process Carbonaceous BOD removal (nitrification) Suspended & Trickling filter-solids contact Attached process Growth Biofilter-AS process Series trickling filter-AS process
  • 35. Biological Carbonaceous Removal aerobic - oxidation bacteria CHONS + O2 + Nutrients CO2 + NH3 + C5H7NO2 (organic matter) (new bacterial cells) + other end products - endogenous respiration bacteria C5H7NO2 + 5O2 5CO2 + 2H2O + NH3 + energy (cells)
  • 37. What are the forms of nitrogen found in wastewater?  Forms of nitrogen: Organic N TKN Ammonia Total Nitrite N Nitrate
  • 38. Why is it necessary to treat the forms of nitrogen?  Improve receiving stream quality  Increase chlorination efficiency  Minimize pH changes in plant  Increase suitability for reuse  Prevent NH toxicity 4  Protect groundwater from nitrate contamination  Increases aquatic growth (algae)  Increases DO depletion
  • 39. How is N removed or altered by secondary (biological) treatment?  Biological assimilation BUG = C60H86O23N12P  0.13 lb N/lb of bug mass  Biological conversion by nitrification and denitrification
  • 40. Nitrification  NH +  Nitrosomonas  NO2- 4  NO -  Nitrobacter  NO - 2 3  Notes:  Aerobic process  Control by SRT (4 + days)  Uses oxygen  1 mg of NH + uses 4.6 mg O 4 2  Depletes alkalinity  1 mg NH4+ consumes 7.14 mg alkalinity  Low oxygen and temperature = difficult to operate
  • 41. Denitrification  NO3-  denitrifiers (facultative bacteria)  N2 gas + CO2 gas  Notes:  Anoxic process  Control by volume and oxic MLSS recycle to anoxic zone  N used as O2 source = 1 mg NO3- yields 2.85 mg O2 equivalent  Adds alkalinity  1 mg NO3- restores 3.57 mg alkalinity  High BOD and NO3- load and low temperature = difficult to operate
  • 42. Biological Nitrogen Removal  Nitrification -energy Nitrosomonas NH4+ + 1.5 O2 NO2- + H2O + 2 H+ + (240-350 kJ) (1) Nitrobacter NO2- + 0.5 O2 NO3- + (65-90 kJ) (2) -assimilation Nitrosomonas 15 CO2 + 13 NH4+ 10 NO2- + 3 C5H7NO2 + 23 H+ +4 H2O (3) Nitrobacter 5 CO2 + NH4+ +10 NO2- +2 H2O 10 NO3- + C5H7NO2 + H+ (4) - overall reaction NH4+ +1.83 O2 + 1.98 H CO3- 0.021 C5H7NO2 + 0.98 NO3- + 1.04 1H2O + 1.88H2CO3
  • 43. Biological Nitrogen Removal  factors affecting nitrification  temperature  substrate concentration  dissolved oxygen  pH  toxic and inhibitory substances  NH 4 − N   DO  0.095(T −15) µ = µm  ⋅ ( e )[1 − 0.83(7.2 − pH )]  K N + NH 4 − N   K O + DO 
  • 44. Biological Nitrogen Removal  Denitrification  Nitrate is used instead of oxygen as terminal electron acceptor  Denitrifiers require reduced carbon source for energy and cell synthesis  Denitrifiers can use variety of organic carbon source - methanol, ethanol and acetic acid NO -3  → NO -2  → NO  → N 2 O  → N 2     NO -3 + 1.08CH 3OH + H +  → 0.065C5 H 7 O 2 N + 0.47N 2 + 0.76CO 2 + 2.44H 2 O 
  • 45. Biological Nitrogen Removal  factors affecting denitrification  temperature  dissolved oxygen  pH
  • 46. Activated Sludge Process
  • 47. Activated Sludge Process  There are two phases to biological treatment ◦ “Mineralization” of the waste organics producing CO2 + H2O + microbes ◦ Separation of the microbes and water
  • 48. Activated Sludge Process Q Q+R Q-W Aeration basin Clarifier Clarifier (OUT) (IN) (MLSS) R (RAS) W (WAS)
  • 49. Definitions: (measurement & control )  MLSS / MLVSS ( active microbes )  F / M ( food to mass )  RAS / WAS ( recycle & waste )  MCRT ( sludge age )  DOUR / SOUR ( how active? )  SVI / SSV30 ( settleability)
  • 50. MLSS Mixed Liquor Suspended Solids The suspended solids in the totally mixed aeration basin liquid
  • 51. MLVSS Mixed Liquor Volatile Suspended Solids  The part of MLSS which will combust. A good approximation of the active biological portion of the MLSS (75 - 85%)  In a well oxidised sample, MLVSS = biomass
  • 52. Food to Mass Ratio F + M + O2 M + CO2 +H2O F/M = kg /day BOD5 kg MLVSS Concept: Microorganisms work best with an optimum amount of food
  • 53. Recycle (RAS)  Recycle converts once-through system into Activated Sludge  Clarifier separates solids (biomass), thickens and allows return of microorganisms (RAS)  Recycle or clarifier underflow influences thickening and mass balances  Retention Time of Biomass no longer limited by Hydraulic Retention time
  • 54. Wasting (WAS)  Biomass is created as the microorganisms grow = Sludge Yield (kg/kg-deltaBOD)  Sludge Yield varies by type of waste and operating conditions (e.g. growth rate)  For Equilibrium conditions, Yield, or Excess Sludge must be removed or Wasted  Excess sludge can involve significant influent inert TSS
  • 55. Sludge Age or MCRT  MCRT = Mean Cell Residence Time  System level, or Gross parameter  One definition is “average time biomass stays in the system”  Calculated by Total Solids in System / Total Solids being Wasted  Mathematically = 1/net growth rate
  • 56. MCRT = [MLVSS (ppm) * Aeration Vol. (m3)] ___________________________________ [TSS(ppm) * Eff (m3/d)] + [RAS MLVSS (ppm) * WAS (m3/d)] or MCRT = Total Solids/ Wasted Solids In practice, MLSS usually used
  • 57. Oxygen Uptake  DOUR and SOUR or Respiration Rate (RR) can provide useful information on health of biomass compared to normal operation  High F/M operation = high growth rate = High RR (e.g. 20+ mg/l/hr/g/VSS)  Extended Aeration (“old” sludge) = Low F/M = “Low” RR (e.g. 3- 12 )  Do not confuse RR with total O2 demand
  • 58. DOUR = (6.5-3.3)/(10-2) = 3.2/8 = 0.4 mg/l/min = 24 mg/l/hr SOUR-- Specific Oxygen Uptake Rate or DOUR/ppm MLVSS Oxygen Uptake Rate (DOUR) 10 8 D.O. (mg/l) 6 4 2 0 0 1 2 3 4 5 6 7 8 9 10 Time (mins)
  • 59. SOUR-- Why do it?  Indicates the health of the bugs  Can show if there is a toxin the basin  Has been shown to be correlated to the final effluent COD so it can be used as an indication of the effluent quality during an upset or change in operating conditions.
  • 60. SVI SVI = SSV30(ml) *1000 MLSS (mg/L) = Volume occupied by 1 gm of MLSS after 30 min of settling (usually 1 L sample) SSV30 = Sludge settled volume after 30 minutes in ml/L
  • 61. SVI target 50 - 150 1000 ml Aeration MLSS Effluent Sludge Sludge Recycle
  • 62. Information from Settling Tests (SVI)  Graph of Rate of Settling = age of sludge  Supernatant Condition = cloudy, ash, pin floc  Production of Gas after 1- 2+ hr = denitrification  Floating material, SVI = Filamentous Bulking  Colour of Sludge e.g. brown or gray  Shape of curve and Expected RAS concentration
  • 63. Example of Settling Data 1200 1000 Young bugs - poor settling, potential for carryover 800 Normal Bugs, good settling CaseA SSV (ml) 600 and good water quality CaseB CaseC 400 200 Old Bugs- fast settling, pin floc carryover potential 0 0 5 10 15 20 25 30 40 50 60 90 120 180 Time (mins)
  • 64. Operational Parameters in Activated Sludge Process  Nature of substrate  F/M ratio  Dissolved Oxygen  RAS  Reactor Configuration  pH  Reaction kinetics  Reactor Hydraulics  Nutrients
  • 65. Activated Sludge Process  Monitoring  Flows  Organic Concentrations and Loadings  Solids concentrations  Settleability data  Oxygen Dissolved oxygen (DO) in aeration basin DOUR (Dissolved oxygen uptake rate (mg/L/hr)

Editor's Notes

  1. cdff
  2. Sybron Biochemical - Wastewater Unit Processes Distributor Training Seminar - 1999
  3. Sybron Biochemical - Wastewater Unit Processes Distributor Training Seminar - 1999 Benefits : Simpleconstruction Low capital and O&M costs Simple operation Low solids production Energy recovery possible Flow and load equalization Drawbacks : Poor process control Significant odor potential Effluent normally requires additional treatment Significant land area required Typical Applications : Pretreatment of industrial wastewater prior to downstream biological treatment or municipal discharge. Pretreatment of municipal wastewater prior to facultative or aerated lagoon treatment, or natural treatment system.
  4. Sybron Biochemical - Wastewater Unit Processes Distributor Training Seminar - 1999 Q = influent flowrate R = return sludge flowrate Q+R = Flow to 2 0 clarifier Q-W = effluent flowrate W = waste sludge flowrate MLSS mixed liquor suspended solids RAS - return activated sludge WAS - waste activated sludge
  5. Std. methods 2540D Filtered through a std. glass fibre filter Dry to constant weight at 103 - 105 C, at least 1 hour
  6. MLVSS Method = method 2540E Residue from MLSS test is ignited to constant weight at 550 C (usually 15 - 20 minutes fro 200 mg) Can have negative errors from appreciable volatile organics MLVSS = 75 - 85% of MLSS, but can be 50 - 95% The active MB portion of the MLVSS can be 1 - 45%, but is still the most widely used indicator Dr. Porge said act. sludge biomass = C 5 H 7 NO 2 i.e oxygen equiv= 5x32/113 = 1.42 mg O2/mg biomass
  7. Case A = Slow settling = YOUNG, Underoxidized, Bulky Case B = Normal Case C Rapid settling = OLD, Overoxidized (maybe some denitrification apparent- more results needed)
  8. Sybron Biochemical - Wastewater Unit Processes Distributor Training Seminar - 1999 Flows - Influent (Q), return sludge (R), waste sludge (W), effluent (Q+W). Organics - influent , pretreatment, and final effluent BOD and COD. Solids - TSS and VSS on mixed liquor (MLSS), return sludge (RAS), waste sludge (WAS). Also on influent, pretreatment effluent, and final effluent. Settleability - 30-min settling test (SV 30), sludge volume index (SVI), sludge bed depths. Oxygen - DO should be taken at different locations and times to determine if limiting conditions exist. DOUR trends provide clues for operational strategies.