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Comparative Life Cycle Assessment and Cost Analysis of Bath Wastewater Treatment
Plant Upgrades
Ben Morelli 1, Sarah Cashman 1, Xin (Cissy) Ma 2,*, Jay Garland 3, Jason Turgeon 4, Lauren Fillmore 5, Diana Bless 2 Michael Nye 3
Northeast Residuals & Biosolids Conference 2017 October 25-27, 2017 Burlington, VT
1 Eastern Research Group 2 United States Environmental Protection Agency, National Risk Management
Research Laboratory 3 United States Environmental Protection Agency, National Exposure
Research Laboratory 4 United States Environmental Protection Agency, Region 1
5Water Environment & Reuse Foundation
1
A system is more than the sum of its parts. - Aristotle (384-322 BC)
New concepts • Fit for purpose
– Water reuse
• Source separation and resource recovery – Nutrient recovery – Energy recovery
• Decentralization
2
3
4
• Population: 5,600
• Flow Capacity: 1 MGD
• Legacy WWTP: CAS
• Upgraded WWTP: MLE
biological treatment
MGD – Million gallons per day WWTP – Wastewater Treatment Plant CAS – Conventional Activated Sludge MLE – Modified Ludzack-Ettinger
Bath NY Community & Wastewater Treatment
5
Bath NY Community & Wastewater Treatment
– Bath wwtp – Food manufacturers – Beverage manufacturers
• Population: 5,600
• Flow Capacity: 1 MGD
• Legacy WWTP: CAS
• Upgraded WWTP: MLE
biological treatment
MGD – Million gallons per day WWTP – Wastewater Treatment Plant CAS – Conventional Activated Sludge MLE – Modified Ludzack-Ettinger
Legacy System Diagram
Primary Treatment
CAS
Secondary Treatment
Effluent Release
Solids
Thickening
Landfill
Aerobic Digestion
Dewatering
Plant Infrastructure Disposal, Sewer Maintenance, Electrical and Mechanical System Material
T T Septage & HSOW
Chemical Addition
Process GHG Emission Foreground Energy T Transport Background
Upgraded System Diagram
7
Chemically Enhanced Primary Treatment
Chemical Addition
Aerobic
Process GHG Emission
Advanced Secondary Treatment Effluent
Release
Solids
Gravity Belt Thickening
Composting & Land
Application Dewatering
Foreground Energy
Plant Infrastructure Disposal, Sewer Maintenance, Electrical and Mechanical System Material
T T Septage & HSOW
T Transport
Anoxic
Anaerobic Digestion
T
Background
8
• Comparative analysis of legacy and upgraded WWTPs • Energy recovery potential and avoided product benefits of Anaerobic Digestion (AD) and land application of compost – Effect of adding High Strength Organic Waste (HSOW)
• Calculate life cycle costs of upgraded system
Bath NY Community & Wastewater
9
* SPDES – State Pollutant Discharge Elimination System
Influent & Effluent Characteristics
Characteristic Influent
Effluent Legacy Upgraded
(mg/L) Suspended Solids 437 7.9 5 Biological Oxygen Demand 323 8.5 2.3 Total Kjeldahl Nitrogen 56 16 4.4
Ammonia 32 6.7 3.6 Total Phosphorus 8 0.7 0.6 Nitrite <1 2.8 0.8
Nitrate <1 13 14
Organic Nitrogen 29 9 0.8
Total Nitrogen 61 31 20
Select LCI Calculations • Electricity: calculated using a record of equipment use, horsepower, and run time • Chemicals: via provided dosage rates • Process GHGs
– N2O: based on TKN influent to secondary (Chandran 2012)
– Methane: based on BOD influent to secondary (IPCC 2006) • Assigns methane correction factor for specific treatment units
(Legacy – Czepiel 1993, Upgraded – Daelman et al. 2013)
10
Select LCI Calculations continued… • Biogas Production (Upgraded Plant)
– Based on Volatile Solids (VS) destruction assumption (ft3/day)
• Landfill Emissions (Legacy Plant) – Regional and national average gas capture
performance – Degradation via a first-order decay model
• Composting Emissions (Upgraded Plant) – Methane (0.11%, 0.82%, 2.5% of C) – Nitrous Oxide (0.34%, 2.68%, 4.65% of N) – Ammonia (1.2%, 6.7%, 12.74% of N) – Carbon Monoxide (0.04% of C) 11
Life Cycle Costing
12
Total Costs = Ʃ (Annual Costs) + Ʃ (Amortized Capital Costs) Total Capital Costs = Purchased Equipment Costs + Direct Costs + Indirect Costs Total Annual Costs = Operation Costs + Replacement Labor Costs + Materials Costs + Chemical Costs + Energy Costs Net Present Value=Σ(Costx/(1+i)x)
Anaerobic Digestion – Feedstock Scenarios
• 3 feedstock scenarios analyzed to determine variation in environmental and cost performance (300,000 gal tanks)
13
Waste Type Base
(gal/day) Medium (gal/day) High (gal/day)
Primary Sludge 17,654 17,654 17,654
Waste Activated Sludge 75,557 75,557 75,557
Septic Waste 14,000 14,000 14,000 Slaughterhouse Waste - 1,000 4,000 Cheese Waste - 2,000 3,000
Winery Waste - 1,000 1,000
Portable Toilet Waste 2,000 2,000 2,000
Loading (lb VS/1000 ft3/day) 130 158 205
Anaerobic Digestion Operational Scenarios
14
Parameter Name
Low Yield Base Yield High Yield
UnitsValue Value Value
Percent Volatile Solids Reduction 40 50 60 %
Biogas YieldBase 12.0 15.0 24.5 ft3/lb VS destroyed
Medium 13.8 18.5 25.1 ft3/lb VS destroyed
High 15.7 22.2 27.3 ft3/lb VS destroyed
Methane Content of Biogas 55 60 65 % w/w
Biogas Heat Content (MJ/ft3) 0.59 0.64 0.68 MJ/ft3
Electrical Efficiency 33 36 40 %
Thermal Efficiency 46 51 56 %
Reactor Heat Loss Northern US Northern US Southern US n.a.
Anaerobic Digestion – Performance Scenarios
15
Compost Emission Scenarios
Emission Scenario
Emission Species Element
Loss of Incoming Element to GHGsUnits
Low CH4 C 0.11% incoming C lost as CH4
Low N2O N 0.34% incoming N lost as N2O
Base CH4 C 0.48% incoming C lost as CH4
Base N2O N 2.68% incoming N lost as N2O
High CH4 C 1.70% incoming C lost as CH4
High N2O N 4.65% incoming N lost as N2O
Eutrophication Scenarios Percent of Legacy System Impact
16
0%10%20%30%40%50%60%70%80%90%100%
Percen
tofLegacySystem
Impact
Scenario Name: Feedstock – AD, i.e., base feedstock – base AD performance
Chart Reading Example
Eutrophication Potential Process Contribution
17
2.4E-2
1.5E-2 1.4E-2
1.9E-2
0
5.0E-3
1.0E-2
1.5E-2
2.0E-2
2.5E-2
3.0E-2
Legacy (Base)
Upgraded (Base)
Upgraded (Optimized)
Upgraded (Worst Case)
kg N
-eq/
m3
was
tew
ater
trea
ted
Effluent Release
Sludge Disposal
Sludge Handling and Treatment Facilities
Biological Treatment
Preliminary/Primary
Global Climate Change Potential Scenarios
18
-100%-50%0%
50%100%150%200%250%300%350%400%
RelaAvePe
rcen
tofLegacySystem
LowEmissions BaseEmissions HighEmissions
Scenario Name: Feedstock - AD
Bar height below this line indicates reduced impact relative to Legacy System
Global Climate Change Potential Process Contribution
19
0.78 0.97
-0.73
3.10
-2
-1
0
1
2
3
4
5
Legacy (Base)
Upgraded (Base)
Upgraded (Optimized)
Upgraded (Worst Case)
kg C
O2-
eq/m
3 w
aste
wat
er
Effluent Release
Sludge Disposal
Sludge Handling and Treatment Facilities
Biological Treatment
Preliminary/Primary
Total
Cumulative Energy Demand Scenarios Percent of Legacy System Impact
20
-150%
-100%
-50%
0%
50%
100%
150%
200%
RelaAvePe
rcen
tofLegacySystem
LowEmissions BaseEmissions HighEmissions
Scenario Name: Feedstock - AD
Bar height below this line indicates reduced impact relative to Legacy System
Cost Analysis Upgraded System
21
$29
$34
$46
$28
$33
$46
$26
$32
$44
$25
$31
$44
$23
$30
$42
$20
$28
$40
-$10
$0
$10
$20
$30
$40
$50
LowCost
BaseCost
HighCost
LowCost
BaseCost
HighCost
LowCost
BaseCost
HighCost
LowCost
BaseCost
HighCost
LowCost
BaseCost
HighCost
LowCost
BaseCost
HighCost
MillionDo
llars
ConstrucAon($) OperaAon($/yr) Maintenance($/yr) Material($/yr) Chemical($/yr) Energy($/yr) TotalNPV
AD and Compost Payback
• Difficult to achieve with low acceptance of high strength organic waste.
22
Scenario (Feedstock Scenario-Anaerobic Digester Scenario)
Low Cost Scenario Base Cost Scenario High Cost Scenario
Anaerobic Digester
Composting Facility
Anaerobic Digester
Composting Facility
Anaerobic Digester
Composting Facility
Base Feed-Low AD None None None None None None Base Feed-Base AD None None None None None None Base Feed-High AD 72 None None None None None
Medium Feed-Low AD None 39 None None None None Medium Feed-Base AD 271 82 None None None None
Medium Feed-High AD 32 440 177 None None None High Feed-Low AD 219 11 None None None None High Feed-Base AD 40 13 251 None None None High Feed-High AD 16 18 41 None 45 None
Summary of Relative Scenario Impacts
23
EOL Low
B
ase
Hig
h Lo
w
Bas
e H
igh
Low
B
ase
Hig
h Lo
w
Bas
e H
igh
Low
B
ase
Hig
h Lo
w
Bas
e H
igh
Low
B
ase
Hig
h Lo
w
Bas
e H
igh
Low
B
ase
Hig
h Lo
w
Bas
e H
igh
Feed-AD Lega
cy
Lega
cy
Lega
cy
Bas
e-B
ase
Bas
e-B
ase
Bas
e-B
ase
Bas
e-H
igh
Bas
e-H
igh
Bas
e-H
igh
Bas
e-Lo
w
Bas
e-Lo
w
Bas
e-Lo
w
Med
ium
-Bas
e M
ediu
m-B
ase
Med
ium
-Bas
e M
ediu
m-H
igh
Med
ium
-Hig
h M
ediu
m-H
igh
Med
ium
-Low
M
ediu
m-L
ow
Med
ium
-Low
H
igh-
Bas
e H
igh-
Bas
e H
igh-
Bas
e H
igh-
Hig
h H
igh-
Hig
h H
igh-
Hig
h H
igh-
Low
H
igh-
Low
H
igh-
Low
GCCP -41% - 44% -57% 25% 141% -105% -28% 79% -32% 57% 183% -112% 2% 163% -139% -32% 119% -63% 61% 236% -158% 0% 222% -194% -49% 155% -117% 57% 299%
EP 0% - 0% -38% -37% -36% -42% -41% -40% -35% -34% -33% -36% -35% -33% -41% -40% -39% -32% -31% -29% -34% -32% -30% -42% -40% -38% -28% -26% -24%
PMFP 2% - -2% 7% 11% 15% -100% -96% -92% 38% 42% 46% -34% -29% -23% -161% -156% -151% 22% 28% 34% -113% -106% -98% -287% -280% -273% -9% 0% 8%
SFP 2% - -2% 7% 7% 7% -101% -101% -101% 37% 37% 38% -35% -35% -35% -163% -163% -163% 21% 21% 22% -116% -116% -116% -290% -290% -290% -11% -11% -11%
AP 2% - -2% 16% 31% 46% -90% -77% -62% 47% 63% 79% -20% -1% 21% -145% -127% -107% 37% 58% 82% -93% -65% -35% -264% -239% -212% 13% 43% 76%
WU 0% - 0% -104% -103% -103% -108% -108% -107% -111% -111% -110% -139% -138% -137% -142% -142% -141% -148% -147% -147% -187% -187% -186% -189% -189% -188% -201% -200% -199%
FDP 1% - -1% 9% 9% 9% -98% -98% -98% 68% 68% 69% -63% -63% -62% -133% -132% -132% 48% 49% 49% -112% -112% -111% -207% -207% -206% -4% -3% -2%
CED 2% - -1% 5% 5% 6% -98% -97% -97% 57% 57% 58% -60% -59% -59% -136% -135% -135% 38% 38% 39% -113% -112% -112% -216% -215% -215% -10% -9% -8%
Legacy Baseline -38% Impact Reduction 25% Increase in Impact
+/- 10% of Legacy -103%
Net Negative Impact 141% Impact More Than
Doubled
Conclusions • Clear Environmental Benefit of HSOW Acceptance
– Maximize use of AD capacity
– Low AD performance (avoidable), can lead to increases in environmental impact
• Benefit to Climate Change Potential depends strongly on composting system selection and management
• Simple payback of AD is challenging to achieve at small-scale, but the trend is towards decreasing cost
• Many impact categories positively influenced by avoided electricity and natural gas consumption
• Appropriate use of AD has the potential to reduce environmental impacts of achieving increased nutrient removal
24
Acknowledgements This research was part of the U.S. Environmental Protection Agency (U.S. EPA) Office of Research and Development’s Safe and Sustainable Water Resources (SSWR) Program. The research was supported by U.S. EPA contracts EP-C-12-021 and EP-C-16-0015. Kim Miller and Guy Hallgren provided primary data on the Bath, NY wastewater treatment plant operations and infrastructure for both the legacy and upgraded systems investigated. Engineering design of treatment plant upgrades was performed by personnel from Conestoga-Rovers & Associates, now a division of GHD Inc. Lauren Fillmore and Lori Stone of Water Environment & Reuse Foundation (WE&RF) as well as Pradeep Jangbari of New York State Department of Environmental Conservation provided technical review comments. Jason Turgeon and Michael Nye of U.S. EPA helped develop the initial project scope. Janet Mosely and Jessica Gray of Eastern Research Group provided technical input and review of the life cycle inventory and cost analysis.
25
The views expressed in this presentation are those of the author[s] and do not necessarily represent the views or policies of the U.S. Environmental Protection Agency. Mention of trade names or commercial products does not constitute endorsement or recommendation for use. This presentation has been reviewed in accordance with U.S. Environmental Protection Agency policy and approved for publication.
Disclaimer
26
Contact Information
Xin (Cissy) Ma Ph.D, P.E. [email protected]
Ben Morelli [email protected]
27
Sarah Cashman [email protected]
Chandran, K. 2012. Greenhouse Nitrogen Emissions from Wastewater Treatment Operation: Phase I, Final Report. Water Environment Research Foundation. U4R07.
Czepiel, P.M., P.M. Crill, and R.C. Harriss. 1993. Methane Emissions from Municipal Wastewater Treatment Processes. Environmental Science and Technology. 27: 2472-2477.
Czepiel, P., P. Crill, and R. Harriss. 1995. Nitrous Oxide Emissions from Municipal Wastewater Treatment. Environmental Science and Technology. 29: 2352-2356.
Daelman, M.R.J., E.M. Voorthuizen, L.G.J.M. van Dongen, E.I.P. Volcke, and M.C.M van Loosdrecht. 2013. Methane and Nitrous Oxide Emissions from Municipal Wastewater Treatment–Results from a Long-Term Study. Water Science and Technology. 67(10): 2350-2355.
IPCC. 2006. 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme, Eggleston H.S., Buendia L., Miwa K., Ngara T. and Tanabe K. (eds). Published: IGES, Japan
ISO-NE (Independent System Operators New England). 2016. 2014 ISO New England Electric Generator Air Emissions Report. http://www.iso-ne.com/static-assets/documents/2016/01/2014_emissions_report.pdf Accessed 30 August, 2016.
U.S. EPA (U.S. Environmental Protection Agency). 2016. Power Profiler Tool. https://www.epa.gov/energy/power-profiler Accessed 30 August, 2016.
References Cited
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