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Examples of Work (1)
Problem Solving
PCBWORKS
This presentation highlights work done as
Tertiary Plant Team Chemist at the APS
Water Reclamation Facility at Palo Verde
(examples contain no real plant data; values left out or altered)
. . . .
This presentation highlights work done as
Tertiary Plant Team Chemist at the APS
Water Reclamation Facility at Palo Verde
(examples contain no real plant data; values left out or altered)
. . . .
•The Water Reclamation Facility
provides water for the Palo Verde Nuclear
Generating Station
– domestic & ultra pure water made from site
deep-well water
– ‘process’ water made from City of Phoenix
sewage treatment effluent at Tertiary Plant
Goals
Major tasks as tertiary plant team chemist:
– 1) Improve sludge acid digestions
– 2) Explain phosphate removal problems
– 3) Systematize chemical additions
Problem (1)
Acid digests of plant solids contained a
gel that could not be removed. Such a
gel could interfere with analyses.
•(FYI) Solids in 1st Stage Clarifier
Reaction zone solids (RZ)
Recycle solids / sludge(SL)
Effluent
flow
slaked
lime
influent
effluent
Launderers gather effluent
Sludge out
udge out
rake
Slaked
lime
Launderers gather effluent
influent
effluent
Approach
• Ran tests, consulted with chemists, lab techs
• Did a literature search of digestion methods
• Wrote program ‘Dgstcalc’ to do calculations
Scope
• Ran 22 digestions in 7 months
• Accounted for up to 99% of plant sludge
Mechanics of DGSTCALC
• Input: sample mass/volume, ions
• Output: assumed compounds, groups, ions
• Feedback/ QA:
standard deviation, spike%, blank, digestion &
analysis replicates, separations checks
Example: DGSTCALC Output
REACTION ZONE SUSPENDED SOLIDS DIGEST
Sample: FC3SL Temp: 22.00
Date: 1/30 Type: grab
Time: 08:00 Analysis: "limestone analysis"
average mass % rel std dev blank % rep(1)% rep(2)% spike %
(assumed species)
CaCO3 xxxxxxx 62.83 3.58 0.01 5.88 3.09 103.00
Mg(OH)2 xxxxxxx 19.86 0.52 0.01 1.64 0.90 100.00
SiO2 xxxxx 5.25 13.08 0.52 26.16 13.08
(ions)
PO4 xxxx 3.85 0.87 0.00 3.15 1.55 101.00
Fe xxxx 0.11 0.43 0.64 3.13 0.67 102.00
SO4 xxxx 0.77 2.07 0.00 1.47 4.19 103.00
GROUPINGS ppm % QA ppm %
TSS xxxxxx Cmpds xxxxxxx 87.85
volatiles xxxxxx 12.36 Ions xxxxxxx 4.73
Ca/Mg 1.84 Na Check 3.30
Ca+Mg 82.68 SiO2 after 26.50
spike % transfer 100.72
Feedback Loops
Procedure checked four ways:
– digestion by digest replicate (rep1)
– analysis by analytical replicate (rep2)
– separations by Na and SiO2 checks
– matrix interference by spike recovery
Results and Benefits
• Coworker mentioned silicates often cause problems
• Found method that makes silicates acid insoluble
• Filtered out silica, solving ‘gel’ problem and
ensuring better digestion numbers
Problem (2)
• The plant had had difficulty for some time
(> ten years) controlling phosphate to
specifications during the winter months.
While many theories were advanced, what
variables were involved was not known.
Approach
• Worked closely with engineers, mechanics,
operators, and lab techs
• Focused on entire system to include as man
many variables as possible
• Did calculations, ran jar tests, used histor-
ical & current plant data & ran process tests
to look at data from many points of view
•(FYI) Schematic Tertiary Plant System
Clarifier Feed Sump (FCIN)
1st Stage Clarifiers (FC1-6)
2nd Stage Clarifiers (FC7-12)
Gravity Filters
Trickling Filters (TF) (bacteria remove NH3, alkalinity,organics)
To Reservoir &
Nuclear Units
Plant influent from Phoenix (WPIN)
(lime removes Ca, Mg, SiO2, PO4)
(CO2 & Soda Ash remove excess Ca)
Lines
back
from
rest of
plant
Scope
Spent >1 year gathering and analyzing data:
– Trickling Filter performance
– 1st Stage sludge chemical/physical characteristics
– 1st Stage effluents
– Organics throughout plant
Graphing
• The following slides show different views
of one graph: starting with the simplest,
overall picture and adding details to expose
the apparent causes of the problem . . .
Phosphates out of Spec
Simplest View of Problem
12/7 12/27 1/16 2/5 2/25 3/16 4/5 4/25 5/15 6/4
date
various,scaledvalues
phosphate
in effluentvolatiles
in
reaction
zone
volatiles in
sludge
recycle change in
plant solids
phosphate
spec
Immediate Cause
Volatiles (Organics in Suspended Solid form) in Reaction Zone
12/7 12/27 1/16 2/5 2/25 3/16 4/5 4/25 5/15 6/4
date
various,scaledvalues
phosphate
in effluent
volatiles in
reaction zone
volatiles in
sludge recycle
change in
plant solids
timeline: high (dissolved) organics in influent
key point: organics only become a problem when they interact with plant solids to form volatiles
Showing Data Points to Evaluate Goodness of Fit
12/7 12/27 1/16 2/5 2/25 3/16 4/5 4/25 5/15 6/4
date
various,scaledvalues
phosphate
in effluent
volatiles
in
reaction
zone
volatiles in
sludge recycle change in
plant solids
- emphasis on fit of 1/16 to 3/16 period
- see next graph for view of fit of volatiles curves
Original, unsmoothed data (scaled to fit in same area of graph only)
12/7 12/27 1/16 2/5 2/25 3/16 4/5 4/25 5/15 6/4
date
various,scaledvalues
phosphate
in effluentvolatiles in
reaction
zone
volatiles in
sludge recycle
change in
plant solids
What "Change in Solids" Represents
12/7 12/27 1/16 2/5 2/25 3/16 4/5 4/25 5/15 6/4
date
various,scaledvalues
phosphate
in effluent
volatiles
in reaction
zone
volatiles in
sludge
recycle
change in plant solids
(summarizes many
sludge physical
parameters -- plum
colored lines)
4/95
/24/96
3/6/96
4/18/96
2/14
12/27
1/4
1/11
1/23
1/31
2/9
2/21
2/29
3/12
3/21
3/28
4/10
4/24
5/1
5/9
5/16
5/28
6/4
-10
-5
0
5
10
15
20
phosphate
peak
sl volatiles
peak
rz
volatiles
peak
hi wpin
organic
solids
ansition
true timeline
ol)
change in
solids mat
3D View illustrates solids matrix
Change in Solids Due to a Larger Pattern,
Temperature Induced Change in Density of Water
9/8 10/28 12/17 2/5 3/26 5/15
reaction zone
temperature
phosphate
in effluent
volatiles
in
reaction
zone
volatiles in
sludge recycle
change in
plant solids
HYPOTHESIS
Phosphate removal problems caused by
interaction of organics with plant solids to form
volatiles during temperature induced change in
density.
Towards a Practical Solution
• Substituting individual clarifier effluent
data for average clarifer effluent phosphate
shows that all clarifiers did not react the
same way
Individual Clarifier Effluent Phosphates
12/7 12/27 1/16 2/5 2/25 3/16 4/5 4/25 5/15 6/4
date
various,scaledvalues
key point: clarifier 3 adjusted to volatiles more quickly than other clarifiers
clarifier 3
phosphate
What made clarifier 3 different?
– 1) on recal lime feed rather than purchased,
pebble lime
– 2) higher viscosity of recycled solids
– 3) higher cycling (ratio recycle to reaction zone
solids)
Clarifier 3 Compared to other Clarifiers
12/7 12/27 1/16 2/5 2/25 3/16 4/5 4/25 5/15 6/4
date
various,scaledvalues
clarifier 3 cycling
and viscosity
other clarifiers improved
when they began to 'look
more like' 3
average of all clarifiers
(including 3)
TESTING
• With the aid of plant operators, a number of
“process tests” were run to determine if
other clarifiers could be made to “look like”
clarifier 3
Testing on Clarifier 4 (Also on recal lime)
6/24 7/14 8/3 8/23 9/12 10/2 10/22
date
process test run by
plant operator: 9/13
X
clarifier 3 cycling
and viscosity
clarifier 4 cycling
and viscosity
QUALIFICATIONS
• tests were not run during the winter season
• other tests run on clarifiers on pebble lime
were not so successful
• “process tests” are tests without real
controls, still . . .
Solution and Benefits
• The results suggest that solids control is the key
to phosphate control in winter
• My friends at Palo Verde assure me that they no
longer have a winter phosphate problem
• Benefit: extending the life of Nuclear Power
Plant water systems $$$$$$$$$$$
•Problem (3)
• Chemical additions were determined largely
by effluent quality.
Approach
• Focused on head of plant to eliminate
variables, but later included rest of plant for
completeness
• Wrote program, FC_Chem, to do calculations
Scope
• Ran program 67 times over 6 months
• Accounts for up to 95% of 1st stage solids
Mechanics of FC_CHEM
• Inputs:
• plant flows and chemical additions
• lab data: influent, jar test, clarifier effluents
• Outputs:
• lime demand, CO2 & soda ash demand
• excess calcium, free carbonate & total solids
format: INPUT/analysis INPUT/computer/data STUFFED NUMBER
date: (hypothetical example)
PLANT FLOWS LIME ADDITION
flow:kgpm 60 LIME CONCENTRATION pumpstroke (count)
time: 1 min A- mls 4.4 sta A 0.22 8
vol/liters 227 B- mls 4 sta B 0.24 8
C- mls 4.3 sta C 0.29 9
clarifier flows sta D 0.29 9
fc1 10 normality 1.0123 sta E 0.27 10
fc2 10 sta F 0.55 18
fc3 10 A- spg 1.1100
fc4 10 B- spg 1.1100 variance 0.1
fc5 10 C- spg 1.1200
fc6 10
FINFG/C LDT FC1EFF FC2EFF FC3EFF FC4EFF FC5EFF FC6EFF
pH xxx xxx xxx xxx xxx xxx xxx xxx
p-alk/CaCO3 xxx xxx xxx xxx xxx xxx xxx xxx
m-alk/CaCO3 xxx xxx xxx xxx xxx xxx xxx xxx
PO4 xxx xxx xxx xxx xxx xxx xxx xxx
Mg as CaCO3 xxx xxx xxx xxx xxx xxx xxx xxx
SiO2 xxx xxx xxx xxx xxx xxx xxx xxx
CaCO3 xxx xxx xxx xxx xxx xxx xxx xxx
NH3 xxx xxx xxx xxx xxx xxx xxx xxx
TIC xxx xxx xxx xxx xxx xxx xxx xxx
TOC xxx xxx xxx xxx xxx xxx xxx xxx
TSS(rz) xxx xxx xxx xxx xxx xxx xxx xxx
Example: FC_Chem Output
LIME DEMAND format: mg/l as CaCO3
Calculated-Influent Values & Chem Eqns. calc. 675
Lime Demand Titration calc. 666
analysis 685
Lime Demand on Clarifiers calc analysis
clarifier 1 698 667
clarifier 2 700 650
clarifier 3 705 668
clarifier 4 668 705
clarifier 5 650 700
clarifier 6 667 698
average 681 681
Report Format
• Results calculated using:
– influent data
– jar test data
– clarifier data
• Lab data presented with calculations
Feedback Loops
• Calculational methods may be compared for
insights into system
• Lab analysis confirms calculated value
(and vice versa) or signals need to
investigate
Benefits
• Uses systems approach
• Makes fine-tuning easier
• Potential for huge chemical savings $$$$$$
$$$$$$$$$$$$$$$$$$$$$$$$$$$
Accomplishments
When I left APS after 3 years as Tertiary
Team Chemist, I had
– 1) achieved clean digestions
– 2) resolved phosphate problem
– 3) systematized plant chemical additions
Thank You!
• Thank you for viewing my presentation
• Thanks to the members of WRF Tertiary
Treatment Team for their invaluable help
and to APS for a wonderful job
Peter Charles Bierly

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Solving a Winter-Time Phosphate Removal Problem

  • 1. Examples of Work (1) Problem Solving PCBWORKS This presentation highlights work done as Tertiary Plant Team Chemist at the APS Water Reclamation Facility at Palo Verde (examples contain no real plant data; values left out or altered) . . . . This presentation highlights work done as Tertiary Plant Team Chemist at the APS Water Reclamation Facility at Palo Verde (examples contain no real plant data; values left out or altered) . . . .
  • 2. •The Water Reclamation Facility provides water for the Palo Verde Nuclear Generating Station – domestic & ultra pure water made from site deep-well water – ‘process’ water made from City of Phoenix sewage treatment effluent at Tertiary Plant
  • 3. Goals Major tasks as tertiary plant team chemist: – 1) Improve sludge acid digestions – 2) Explain phosphate removal problems – 3) Systematize chemical additions
  • 4. Problem (1) Acid digests of plant solids contained a gel that could not be removed. Such a gel could interfere with analyses.
  • 5. •(FYI) Solids in 1st Stage Clarifier Reaction zone solids (RZ) Recycle solids / sludge(SL) Effluent flow slaked lime influent effluent Launderers gather effluent Sludge out udge out rake Slaked lime Launderers gather effluent influent effluent
  • 6. Approach • Ran tests, consulted with chemists, lab techs • Did a literature search of digestion methods • Wrote program ‘Dgstcalc’ to do calculations
  • 7. Scope • Ran 22 digestions in 7 months • Accounted for up to 99% of plant sludge
  • 8. Mechanics of DGSTCALC • Input: sample mass/volume, ions • Output: assumed compounds, groups, ions • Feedback/ QA: standard deviation, spike%, blank, digestion & analysis replicates, separations checks
  • 9. Example: DGSTCALC Output REACTION ZONE SUSPENDED SOLIDS DIGEST Sample: FC3SL Temp: 22.00 Date: 1/30 Type: grab Time: 08:00 Analysis: "limestone analysis" average mass % rel std dev blank % rep(1)% rep(2)% spike % (assumed species) CaCO3 xxxxxxx 62.83 3.58 0.01 5.88 3.09 103.00 Mg(OH)2 xxxxxxx 19.86 0.52 0.01 1.64 0.90 100.00 SiO2 xxxxx 5.25 13.08 0.52 26.16 13.08 (ions) PO4 xxxx 3.85 0.87 0.00 3.15 1.55 101.00 Fe xxxx 0.11 0.43 0.64 3.13 0.67 102.00 SO4 xxxx 0.77 2.07 0.00 1.47 4.19 103.00 GROUPINGS ppm % QA ppm % TSS xxxxxx Cmpds xxxxxxx 87.85 volatiles xxxxxx 12.36 Ions xxxxxxx 4.73 Ca/Mg 1.84 Na Check 3.30 Ca+Mg 82.68 SiO2 after 26.50 spike % transfer 100.72
  • 10. Feedback Loops Procedure checked four ways: – digestion by digest replicate (rep1) – analysis by analytical replicate (rep2) – separations by Na and SiO2 checks – matrix interference by spike recovery
  • 11. Results and Benefits • Coworker mentioned silicates often cause problems • Found method that makes silicates acid insoluble • Filtered out silica, solving ‘gel’ problem and ensuring better digestion numbers
  • 12. Problem (2) • The plant had had difficulty for some time (> ten years) controlling phosphate to specifications during the winter months. While many theories were advanced, what variables were involved was not known.
  • 13. Approach • Worked closely with engineers, mechanics, operators, and lab techs • Focused on entire system to include as man many variables as possible • Did calculations, ran jar tests, used histor- ical & current plant data & ran process tests to look at data from many points of view
  • 14. •(FYI) Schematic Tertiary Plant System Clarifier Feed Sump (FCIN) 1st Stage Clarifiers (FC1-6) 2nd Stage Clarifiers (FC7-12) Gravity Filters Trickling Filters (TF) (bacteria remove NH3, alkalinity,organics) To Reservoir & Nuclear Units Plant influent from Phoenix (WPIN) (lime removes Ca, Mg, SiO2, PO4) (CO2 & Soda Ash remove excess Ca) Lines back from rest of plant
  • 15. Scope Spent >1 year gathering and analyzing data: – Trickling Filter performance – 1st Stage sludge chemical/physical characteristics – 1st Stage effluents – Organics throughout plant
  • 16. Graphing • The following slides show different views of one graph: starting with the simplest, overall picture and adding details to expose the apparent causes of the problem . . .
  • 17. Phosphates out of Spec Simplest View of Problem 12/7 12/27 1/16 2/5 2/25 3/16 4/5 4/25 5/15 6/4 date various,scaledvalues phosphate in effluentvolatiles in reaction zone volatiles in sludge recycle change in plant solids phosphate spec
  • 18. Immediate Cause Volatiles (Organics in Suspended Solid form) in Reaction Zone 12/7 12/27 1/16 2/5 2/25 3/16 4/5 4/25 5/15 6/4 date various,scaledvalues phosphate in effluent volatiles in reaction zone volatiles in sludge recycle change in plant solids timeline: high (dissolved) organics in influent key point: organics only become a problem when they interact with plant solids to form volatiles
  • 19. Showing Data Points to Evaluate Goodness of Fit 12/7 12/27 1/16 2/5 2/25 3/16 4/5 4/25 5/15 6/4 date various,scaledvalues phosphate in effluent volatiles in reaction zone volatiles in sludge recycle change in plant solids - emphasis on fit of 1/16 to 3/16 period - see next graph for view of fit of volatiles curves
  • 20. Original, unsmoothed data (scaled to fit in same area of graph only) 12/7 12/27 1/16 2/5 2/25 3/16 4/5 4/25 5/15 6/4 date various,scaledvalues phosphate in effluentvolatiles in reaction zone volatiles in sludge recycle change in plant solids
  • 21. What "Change in Solids" Represents 12/7 12/27 1/16 2/5 2/25 3/16 4/5 4/25 5/15 6/4 date various,scaledvalues phosphate in effluent volatiles in reaction zone volatiles in sludge recycle change in plant solids (summarizes many sludge physical parameters -- plum colored lines)
  • 23. Change in Solids Due to a Larger Pattern, Temperature Induced Change in Density of Water 9/8 10/28 12/17 2/5 3/26 5/15 reaction zone temperature phosphate in effluent volatiles in reaction zone volatiles in sludge recycle change in plant solids
  • 24. HYPOTHESIS Phosphate removal problems caused by interaction of organics with plant solids to form volatiles during temperature induced change in density.
  • 25. Towards a Practical Solution • Substituting individual clarifier effluent data for average clarifer effluent phosphate shows that all clarifiers did not react the same way
  • 26. Individual Clarifier Effluent Phosphates 12/7 12/27 1/16 2/5 2/25 3/16 4/5 4/25 5/15 6/4 date various,scaledvalues key point: clarifier 3 adjusted to volatiles more quickly than other clarifiers clarifier 3 phosphate
  • 27. What made clarifier 3 different? – 1) on recal lime feed rather than purchased, pebble lime – 2) higher viscosity of recycled solids – 3) higher cycling (ratio recycle to reaction zone solids)
  • 28. Clarifier 3 Compared to other Clarifiers 12/7 12/27 1/16 2/5 2/25 3/16 4/5 4/25 5/15 6/4 date various,scaledvalues clarifier 3 cycling and viscosity other clarifiers improved when they began to 'look more like' 3 average of all clarifiers (including 3)
  • 29. TESTING • With the aid of plant operators, a number of “process tests” were run to determine if other clarifiers could be made to “look like” clarifier 3
  • 30. Testing on Clarifier 4 (Also on recal lime) 6/24 7/14 8/3 8/23 9/12 10/2 10/22 date process test run by plant operator: 9/13 X clarifier 3 cycling and viscosity clarifier 4 cycling and viscosity
  • 31. QUALIFICATIONS • tests were not run during the winter season • other tests run on clarifiers on pebble lime were not so successful • “process tests” are tests without real controls, still . . .
  • 32. Solution and Benefits • The results suggest that solids control is the key to phosphate control in winter • My friends at Palo Verde assure me that they no longer have a winter phosphate problem • Benefit: extending the life of Nuclear Power Plant water systems $$$$$$$$$$$
  • 33. •Problem (3) • Chemical additions were determined largely by effluent quality.
  • 34. Approach • Focused on head of plant to eliminate variables, but later included rest of plant for completeness • Wrote program, FC_Chem, to do calculations
  • 35. Scope • Ran program 67 times over 6 months • Accounts for up to 95% of 1st stage solids
  • 36. Mechanics of FC_CHEM • Inputs: • plant flows and chemical additions • lab data: influent, jar test, clarifier effluents • Outputs: • lime demand, CO2 & soda ash demand • excess calcium, free carbonate & total solids
  • 37. format: INPUT/analysis INPUT/computer/data STUFFED NUMBER date: (hypothetical example) PLANT FLOWS LIME ADDITION flow:kgpm 60 LIME CONCENTRATION pumpstroke (count) time: 1 min A- mls 4.4 sta A 0.22 8 vol/liters 227 B- mls 4 sta B 0.24 8 C- mls 4.3 sta C 0.29 9 clarifier flows sta D 0.29 9 fc1 10 normality 1.0123 sta E 0.27 10 fc2 10 sta F 0.55 18 fc3 10 A- spg 1.1100 fc4 10 B- spg 1.1100 variance 0.1 fc5 10 C- spg 1.1200 fc6 10 FINFG/C LDT FC1EFF FC2EFF FC3EFF FC4EFF FC5EFF FC6EFF pH xxx xxx xxx xxx xxx xxx xxx xxx p-alk/CaCO3 xxx xxx xxx xxx xxx xxx xxx xxx m-alk/CaCO3 xxx xxx xxx xxx xxx xxx xxx xxx PO4 xxx xxx xxx xxx xxx xxx xxx xxx Mg as CaCO3 xxx xxx xxx xxx xxx xxx xxx xxx SiO2 xxx xxx xxx xxx xxx xxx xxx xxx CaCO3 xxx xxx xxx xxx xxx xxx xxx xxx NH3 xxx xxx xxx xxx xxx xxx xxx xxx TIC xxx xxx xxx xxx xxx xxx xxx xxx TOC xxx xxx xxx xxx xxx xxx xxx xxx TSS(rz) xxx xxx xxx xxx xxx xxx xxx xxx
  • 38. Example: FC_Chem Output LIME DEMAND format: mg/l as CaCO3 Calculated-Influent Values & Chem Eqns. calc. 675 Lime Demand Titration calc. 666 analysis 685 Lime Demand on Clarifiers calc analysis clarifier 1 698 667 clarifier 2 700 650 clarifier 3 705 668 clarifier 4 668 705 clarifier 5 650 700 clarifier 6 667 698 average 681 681
  • 39. Report Format • Results calculated using: – influent data – jar test data – clarifier data • Lab data presented with calculations
  • 40. Feedback Loops • Calculational methods may be compared for insights into system • Lab analysis confirms calculated value (and vice versa) or signals need to investigate
  • 41. Benefits • Uses systems approach • Makes fine-tuning easier • Potential for huge chemical savings $$$$$$ $$$$$$$$$$$$$$$$$$$$$$$$$$$
  • 42. Accomplishments When I left APS after 3 years as Tertiary Team Chemist, I had – 1) achieved clean digestions – 2) resolved phosphate problem – 3) systematized plant chemical additions
  • 43. Thank You! • Thank you for viewing my presentation • Thanks to the members of WRF Tertiary Treatment Team for their invaluable help and to APS for a wonderful job Peter Charles Bierly