Coagulants for Water Treatment

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    Evaluating Coagulantsfor Water Treatment

    Kari Duncan City of Lake Oswego

    &

    Doug Wise Eugene Water & Electric Board

    PNWS-AWWA Section Conference

    May 2, 2008

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    Overview

    Varieties of Coagulants:

    Inorganic Organic

    Common Uses

    Case Studies:EWEB City of Lake Oswego

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    Entrance Strategy

    1. Jar Test

    2. Pilot Filter Evaluation

    3. Cost Evaluation

    4. Plant Scale Test

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    Entrance Strategy cont.

    5. Plant Scale Trial

    6. Calculate Real Cost

    7. Evaluation Step

    Operational Effectiveness Look for Unintended Consequences

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    Aluminum Sulfate

    (Al2(SO4)3 14 H2O

    Inorganic coagulants aluminum sulfate,aluminum chloride and ferric compounds

    React with alkalinity to form positive ions

    which remove contaminants by adsorption.

    Increasing turbidity higher (sometimesdramatically higher) feed rates.

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    PACL (Polymeric Inorganic

    Coagulants)

    Generic name that encompasses

    ACH, Sumaclear, Pass-C and others

    Product variables:

    Basicity 50% 80+%

    Al:Cl ratio

    Al2O3 content

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    PACL

    A highly charged species that require

    little or no alkalinity to precipitate floc.

    Due to the high charge of the PACLs

    dose may not increase as much

    during increasing contaminant loading

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    PACL : ACH

    PACL formula: Al2(OH)(X)Cl(6-x)

    Al:Cl ratio increases as basicityincreases

    ACH special type of PACL Al:Cl ratio of 2:1 Basicity of 83%

    Al2O3 content of 23%

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    Molecular Weight Comparison

    Alum : max MW of 1,000

    PACL: MW of 500 2,500

    ACH: 4,000 5,000 (some up to 10,000)

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    Floc Size

    Inorganic coagulants (Alum), and lowbasicity PACL form more voluminous,fragile floc.

    With increasing charge, PACL tend

    to form smaller floc with greaterdensity

    ACH forms a very tight, dense floc

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    Typical dosages

    Product sales advisors often quote anAluminum percentage ratio

    For example, if the Al in the PACL is 4x that ofAlum, they will cite an expected 25% of alumdosage.

    50% basicity PACL; approx 80% of alum dosage

    ACH: approx 33% of alum dosage.

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    Coagulation Control

    Jar Mix

    Pilot Filters

    Stream Current Monitors

    Zeta Potentiometers

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    Coagulant Control: Jar Test

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    Coagulant Control: Control Filters

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    Coagulant Control: Current Monitor

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    Coagulant Control

    Jar Test: Remember to look for smallerdenser floc due to high basicity

    when using high molecular

    weight products

    Control Filters

    Streaming Current Monitor

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    Benefits

    Increased filter runs

    Reduced sludge generationSludge compacts / dewaters better

    Greater turbidity removal capacity

    Effective in low water temperatures

    PACL does not lower pH

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    Check With Friends

    Drinking Water Program

    Bay Hills Water Association

    City of Creswell Garden Valley Water District

    City of Lowell

    City of Myrtle Point

    City of Waldport

    City of Yachats

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    Cautions

    What is in the magic elixir?

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    More Cautions!

    PACL products range in grade and

    composition; test product(s) extensivelybefore committing to their use.

    Some products are sensitive to chlorine.

    Products which form a suspension orgenerate sludge after only six months ofstorage are very low grade.

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    Case Study #1

    Eugene Water & Electric Boards

    Hayden Bridge Filtration Plant

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    EWEB

    72 MGD Raw Water Flow (108 MGD in 2009)

    McKenzie River Source

    Direct Filtration (summer)

    Conventional Filtration (winter)

    Alum coagulant

    Pre-chlorinate Cl2 gas

    50% Caustic: corrosion control

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    EWEB

    7 month trial of Sumaclear 1000 fromSummit Research Lab

    Used Sumaclear predominantly through2006.

    Trial examined cost and filter run timeswhile maintaining existing filtered waterturbidity goal of 0.035 NTU.

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    EWEB Poly Alum vs. Alum

    0.00

    2.00

    4.00

    6.00

    8.00

    10.00

    12.00

    0.90

    1.04

    1.34

    1.35

    1.41

    1.50

    1.50

    1.60

    1.70

    1.77

    2.40

    2.50

    4.40

    7.74

    Raw Turbidity

    Dose(m

    g/L)

    Alum

    P/A

    Linear

    (P/A)

    Linear

    (Alum )

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    EWEB Field Results

    Sumaclear 1000 dose was approximately 1/3 ofAlum with low raw water turbidity.

    With raw water turbidity above 4 ntu, Sumaclear1000 was approximately 1/2 of Alum dose.

    Experienced longer filter runs with Sumaclear.

    Sumaclear resulted in an overall economicbenefit (chemicals, wash water, sludgemanagement) of approximately 20%.

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    EWEB Concerns

    Some changes in distribution

    water quality coincided withSummaclear 1000 trials.

    * Apparent DBP increase

    * Small Lead and Copper increase(may no longer be optimized)

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    EWEB Finds Fault

    A: We changed coagulant.

    B: Our system water quality changed.

    Therefore: the coagulant change made

    the system water qualitychange.

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    EWEB

    Review of JAWWA Article

    on Cl-

    / SO4 Ratio Edwards & Triantafyllidou July 2007

    as the relative concentration ofchloride to sulfate increased in awater supply, a utility was more likelyto have a higher 90th-percentile leadconcentration.

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    PACL : ACH

    PACL formula: Al2(OH)(X)Cl(6-x)

    Al:Cl ratio increases as basicityincreases

    ACH special type of PACL Al:Cl ratio of 2:1 Basicity of 83%

    Al2O3 content of 23%

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    EWEB

    Not so fast.

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    There Are Other Considerations(EWEB)

    Multiple changes in treatmentvariables at the time of test:

    Added 15 MG Clearwell (May 2003)

    Changed chlorination practice (May 2004)

    Switched from Lime to Caustic (July 2004)

    Switched from Alum to Sumaclear 1000

    (2005-2006)

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    EWEB Next Steps

    Continue Monitoring.

    Special Monitoring.

    Make GradualTreatment

    Changes.Wait and Measure.

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    Case Study #2

    City of Lake Oswego

    Water Treatment Plant

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    City of Lake OswegoWater Treatment Plant

    16 MGD

    Clackamas River SourceDirect Filtration Plant

    Alum (Coagulant)Pre-chlorinate with Hypochlorite

    Lime: corrosion control

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    City of Lake Oswego

    Feeds Alum alone during low turbidity.

    Feeds a combination of Alum and Pass-C(Hydortech product) during high turbidityevents.

    Pass-C: Al = 5/4 % ??

    Al2O3: 10.3%

    Basicity: 55%

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    Alum and Pass-C vs. Raw NTU

    0

    10

    20

    30

    40

    50

    60

    70

    80

    90

    100

    1

    2/1

    1

    2/8

    12

    /15

    12

    /22

    12

    /29

    1/5

    1

    /12

    1

    /19

    1

    /26

    Alum/Pass-Cm

    g/L,RawNTU ALUM,

    mg/L

    Pass-c

    mg/l dry

    Raw NTUAvg

    Al d P C R NTU (2 )

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    Alum and PassC vs. Raw NTU (2 axes)

    0

    2

    4

    6

    8

    10

    12

    14

    16

    18

    DATE 12/5 12/10 12/15 12/20 12/25 12/30 1/4 1/9 1/14 1/19 1/24 1/29

    AlumandPas

    sC(mg/L)

    0

    20

    40

    60

    80

    100

    120

    140

    160

    180

    RawNTU

    ALUM,mg/L

    Pass-c

    mg/l dry

    Raw NTUAvg

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    Alum mg/L vs. Raw NTU (without Pass-C)

    0

    5

    10

    15

    20

    25

    30

    35

    40

    45

    50

    11

    /11

    11

    /18

    11

    /25

    1

    2/2

    1

    2/9

    12

    /16

    12

    /23

    12

    /30

    1/6

    1

    /13

    A

    lummg/Land

    Raw

    NTU

    ALUM,

    mg/L

    ntu avg

    Ci f L k O

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    City of Lake OswegoField Results

    The use of Pass-C at 3 to 11 mg/L decreasesAlum use by up to (75%)* during periods of high

    raw water turbidity.

    The use of Pass-C at high turbidity prevents theneed for Operators to add additional alkalinity.

    Improves ease of operation

    Cost differences appear to be nominal

    * Rough number

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    City of Lake Oswego Summary

    Wide variety of products available.

    Trial runs are very important.

    Control your variables.

    Perform a cost analysis.

    Shop around and do your research.

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    Lessons Learned From

    Coagulant Trials

    Intuitive expectations

    may be erroneous.

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    Lessons Learned

    Changes in the distribution systemmay result from changes in

    treatment at the plant.

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    Lessons Learned

    Unknown, unreported and / orundocumented consequences

    may be common.

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    Lessons Learned

    Change only ONE thing at a time.

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    Lessons Learned

    Wait

    Measure

    Interpret

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    Acknowledgements

    Kari Duncan for her work in documenting

    these results.

    Randy Prock for developing the data atHayden Bridge.

    The Operators at both plants for theirpatience and persistence.

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    Questions?