biological nutrient removal leads to energy savings · biological nutrient removal leads to energy...
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![Page 1: Biological Nutrient Removal Leads to Energy Savings · Biological Nutrient Removal Leads to Energy Savings Greg Droessler, P.E. Diane Thoune, P.E. October 8, 2015 . Today’s Agenda](https://reader034.vdocuments.us/reader034/viewer/2022042420/5f377f9e3d759a65fc329e15/html5/thumbnails/1.jpg)
Biological Nutrient Removal Leads to Energy Savings
Greg Droessler, P.E.
Diane Thoune, P.E.
October 8, 2015
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Today’s Agenda
1. Introduction
2. Aeration design and BNR modeling
3. Process design
4. System calibration and results
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LCPWD NCT Plant
Facility Design
► 6.0 MGD average daily flow
► 18.0 MGD peak daily flow
Current Operation
► 3.1 MGD average daily flow
► 10.2 MGD peak daily flow
Original Scope
► Design of a new blower to optimize aeration
► Look at the feasibility of BNR
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LCPWD NCT Plant
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Blower Addition / Biological Nutrient Removal Analysis
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Aeration Analysis
Existing centrifugal blowers ► Constant speed ► 6,500 cfm capacity ► 7.3 mg/L average DO ► Average monthly electrical cost = $21,000
New turbo blower with variable speed drive
Calculation of optimum supply air ► Based on BNR and conventional activated
sludge options ► Sampling performed at plant ► Results entered into BioWin model
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Aeration System Modeling
Model input parameters ► Flow
► BOD
► TSS
► Nitrogen
► Phosphorus
► pH
► Tank Dimensions
► Average DO
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Aeration System Modeling
Model predicted
► Actual oxygen demand
► System air demand
► BOD & NH4-N removal
► Sludge production
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Biological Nutrient Removal Analysis
Developed and calibrated a BioWIN model
Extra plant sampling required
► VSS
► COD
► TKN
► Alkalinity
2-1 2-2 2-3 2-4
4-1 4-2 4-3 4-4
5-1 5-2 5-3 5-4
6-1 6-2 6-3 6-4
Secondary Clarifier Effluent
Influent
To DigestionDigester Decant
Dewatering Filtrate
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Biological Nutrient Removal Analysis
Calibrated model
Evaluated various types of BNR systems
► AO ► MLE ► Bardenpho ► UCT ► A2O ► 3 vs 6 aeration tanks
Model predicted various parameters
► Nitrogen and phosphorus removal
► Air requirement ► Effluent BOD ► Solids retention time
0
500
1000
1500
2000
2500
3000
3500
4000
12/28/10 2/16/11 4/7/11 5/27/11 7/16/11 9/4/11 10/24/11 12/13/11
Co
nce
ntr
ati
on
, m
g/l
Aeration Basin 2 MLSS
Aeration Basin 2 MLSS (Model) Aeration Basin MLSS 2 (Measured)
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BNR System Schematics
A2O
MLE
2-1 An 2-2 Anx 2-3 2-4
4-1 An 4-2 Anx 4-3 4-4
5-1 An 5-2 Anx 5-3 5-4
6-1 An 6-2 Anx 6-3 6-4
Secondary Clarifier EffluentInfluent
To Digestion
Digester Decant
Dewatering Filtrate
2-5
4-5
5-5
6-5
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Predicted Nutrient Removals
Alternative
Influent Effluent
% Removal,
TN
% Removal,
TP
TN, mg/l
TP, mg/l
TN, mg/l
TP, mg/l
Alternative 1 – Existing ASP with DO Control 28 4.5 20 2.5 29% 45%
Alternative 2 – A/O Process 28 4.5 11 0.4 60% 90%
Alternative 3 – MLE Process 28 4.5 4 2.5 85% 46%
Alternative 4 – Bardenpho Process 28 4.5 3 2.4 88% 48%
Alternative 5 – A2/O Process 28 4.5 6 0.5 80% 88%
Alternative 6 – UCT Process 28 4.5 5 0.7 81% 84%
Alternative 7– Two-Pass A2/O Process 28 4.5 7.5 0.4 73% 91%
Alternative 8 – Two-Pass Modified Bardenpho Process 28 4.5 5 0.4 83% 91%
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Selected Method – Two-Pass A2O
► Process schematic – two basins
► Advanced nitrogen and phosphorus removal
► Nitrate recycle
► Anaerobic and anoxic basins with mixers
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BNR Design
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Plant Modifications
Blower replacement
Aeration basin modifications ► Basin structural changes
► Extension of piping to flip basins
► Mixer installations
► Recycle pumps and piping addition
► Flow meters, sensors, and air valves added
Chemical feed system (backup system)
Building modifications
SCADA system, sensors, and controls
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Aeration Basin Layout
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BNR System Operation
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Current Operation
QRAS Anoxic Anaerobic Anoxic
Qo
QIR = Qo
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Process Flexibility
1. Modulating air valves with individual DO sensors
2. Ammonia and nitrogen sensors
3. Aerobic/anaerobic and swing cells
4. Mixers regulated by both ORP probes and timers
5. Nitrate recycle pumps/piping with VFDs
6. Effluent phosphorus analyzer
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Process Control
► New Master Control Center
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Treatment Results
Average Concentration June 2015
Phosphorus, mg/L Total Nitrogen, mg/L
Influent 4.414 19.7
Effluent 0.086 7.1
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Predicted Energy Savings
Power Use and Cost Estimates
Existing BNR
Connected Blower Hp 1 300 200
Operating Blower Hp 2 300 100
Mixer Hp -- 30
Recycle Pump Hp -- 15
Total Operating Hp 300 145
Daily Operating Hours 24 24
Daily Energy Use, kW-hr/day 5,371 2,596
Annual Energy Use, kW-hr 1,960,488 947,569
Annual Energy Saved, kW-hr 1,012,919
Power Cost (Actual), $/kW-hr 0.07 0.07
Power Cost (DCEO), $/kW-hr 0.12 0.12
Annual Energy Cost (Actual) $137,200 $66,300
Annual Energy Cost (DCEO) $235,300 $113,700
Annual Energy Savings (Actual) $70,900
Notes:
(1) One blower is in operation in each aeration scenario. The new blower was sized to meet the current peak day demand.
(2) It was assumed that the VFD on the new turbo blower will be turned down to 50 percent of capacity to meet average day aeration demands.
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Actual Energy Use
0
2,000
4,000
6,000
8,000
10,000
12,000
December January February March April May June July
Ave
rage
Dai
ly P
ow
er U
se, k
W-h
r
Month
Total Plant Power Use, 2014 - 2015
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Energy Savings Grants
► DCEO Grant - $121,600
► Illinois Clean Energy Grant - $231,550 – Based on units of energy saved
► Wisconsin energy savings grants available through Focus on Energy
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Final Thoughts
1. Energy savings are available in your plant
2. Advanced nutrient removal might be possible, too
3. Detailed analysis and modeling required
4. Perform an energy audit
5. Check funding availability