awast progress meeting rennes 28–30 nov 2001 wp 5 biological treatment lqars cemagref tratolixo
TRANSCRIPT
AWAST PROGRESS MEETINGAWAST PROGRESS MEETINGRENNES 2RENNES 288––3030 NOV 2001 NOV 2001
WP 5WP 5BIOLOGICAL TREATMENTBIOLOGICAL TREATMENT
LQARS CEMAGREF TRATOLIXOLQARS CEMAGREF TRATOLIXO
LQARSCEMAGREFTRATOLIXO
1. EVALUATION OF BT (BIOLOGICAL 1. EVALUATION OF BT (BIOLOGICAL TREATMENT) PLANTSTREATMENT) PLANTS
Two levels:Two levels: A. GlobalA. Global
B. Composting processB. Composting process
__________________________________________________________________________________________________
CASE STUDYCASE STUDY: : Tratolixo MSW (MT) mechanical Tratolixo MSW (MT) mechanical
treatment and (C) composting planttreatment and (C) composting plant
LQARSCEMAGREFTRATOLIXO
TRATOLIXO PLANT:TRATOLIXO PLANT:
MSWMSW MTMT CC PTPT
MSW 2 TROMMEL SIEVES 120 mm
2 TROMMEL SIEVES 80 mm
1
4 (>120 mm)
3 (<120 mm)
ELECTROMAGNETIC SEPARATION (2 OVERBANDS)
8 (80 mm to 120 mm)
7 (Ferrous Metals)
10 (<80 mm)
6
LANDFILL
5 (Cardboard)
MANNUAL SORT
RECYCLING
9 (> 80 mm)
2 (Monsters) LANDFILL
FRACTION FOR COMPOSTING
LQARSCEMAGREFTRATOLIXO
COMPOSTING PARK 10 + 1 weeks
out TROMMEL SIEVE in (20 x 40 mm) (8 x 20 mm)
DENSIMETRIC TABLE 1
FINE COMPOST
14 (> 20 x 40 mm) (Light refuse)
16 (Heavy refuse)
12 (20x40 to 8x20 mm)
15
11 (Composted material)
LANDFILL
DENSIMETRIC TABLES 2 & 3
13 (<8x20 mm)
LANDFILL
Air
Water
Off gas
Leachate BIOFILTERS
WWTP
Sewer
Atmosphere
17 (Coarse compost)
FRACTION FOR COMPOSTING LQARS
CEMAGREFTRATOLIXO
LQARSCEMAGREFTRATOLIXO
MSW 2 TROMMEL SIEVES 120 mm
2 TROMMEL SIEVES 80 mm
1
4 (>120 mm)
3 (<120 mm)
ELECTROMAGNETIC SEPARATION (2 OVERBANDS)
COMPOSTING PARK 10 + 1 weeks
out TROMMEL SIEVE in (20 x 40 mm) (8 x 20 mm)
DENSIMETRIC TABLE 1
FINE COMPOST
8 (80 mm to 120 mm)
7 (Ferrous Metals)
14 (> 20 x 40 mm) (Light refuse)
16 (Heavy refuse)
12 (20x40 to 8x20 mm)
15
10 (<80 mm)
11 (Composted material)
6
LANDFILL
LANDFILL
DENSIMETRIC TABLES 2 & 3
13 (<8x20 mm)
LANDFILL
5 (Cardboard)
MANNUAL SORT
RECYCLING
Air
Water
Off gas
Leachate
BIOFILTERS
WWTP
Sewer
Atmosphere
9 (> 80 mm)
17 (Coarse compost)
2 (Monsters) LANDFILL
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A. GLOBAL LEVELA. GLOBAL LEVEL
Procedure developed by Bernard MorvanProcedure developed by Bernard Morvan
(Cemagref)(Cemagref)
7 STEPS7 STEPS
LQARSCEMAGREFTRATOLIXO1. Quantification of flows1. Quantification of flows
•• Number of flowsNumber of flows
•• Time scaleTime scale i) Year, monthsi) Year, months
ii) Dayii) Day
iii) Minutes, secondsiii) Minutes, seconds
Tratolixo: 9 out of 17 fluxes were quantifiedTratolixo: 9 out of 17 fluxes were quantified
LQARSCEMAGREFTRATOLIXO
MSW 2 TROMMEL SIEVES 120 mm
2 TROMMEL SIEVES 80 mm
1
4 (>120 mm)
3 (<120 mm)
ELECTROMAGNETIC SEPARATION (2 OVERBANDS)
COMPOSTING PARK 10 + 1 weeks
out TROMMEL SIEVE in (20 x 40 mm) (8 x 20 mm)
DENSIMETRIC TABLE 1
FINE COMPOST
8 (80 mm to 120 mm)
7 (Ferrous Metals)
14 (> 20 x 40 mm) (Light refuse)
16 (Heavy refuse)
12 (20x40 to 8x20 mm)
15
10 (<80 mm)
11 (Composted material)
6
LANDFILL
LANDFILL
DENSIMETRIC TABLES 2 & 3
13 (<8x20 mm)
LANDFILL
5 (Cardboard)
MANNUAL SORT
RECYCLING
Air
Water
Off gas
Leachate
BIOFILTERS
WWTP
Sewer
Atmosphere
9 (> 80 mm)
17 (Coarse compost)
2 (Monsters) LANDFILL
LQARSCEMAGREFTRATOLIXO
2. Sampling of flows2. Sampling of flows
•• Number of flowsNumber of flows
•• Time scale: 1 dayTime scale: 1 day
Tratolixo: 11 out of 17 fluxes were Tratolixo: 11 out of 17 fluxes were sampledsampled
LQARSCEMAGREFTRATOLIXO
MSW 2 TROMMEL SIEVES 120 mm
2 TROMMEL SIEVES 80 mm
1
4 (>120 mm)
3 (<120 mm)
ELECTROMAGNETIC SEPARATION (2 OVERBANDS)
COMPOSTING PARK 10 + 1 weeks
out TROMMEL SIEVE in (20 x 40 mm) (8 x 20 mm)
DENSIMETRIC TABLE 1
FINE COMPOST
8 (80 mm to 120 mm)
7 (Ferrous Metals)
14 (> 20 x 40 mm) (Light refuse)
16 (Heavy refuse)
12 (20x40 to 8x20 mm)
15
10 (<80 mm)
11 (Composted material)
6
LANDFILL
LANDFILL
DENSIMETRIC TABLES 2 & 3
13 (<8x20 mm)
LANDFILL
5 (Cardboard)
MANNUAL SORT
RECYCLING
Air
Water
Off gas
Leachate
BIOFILTERS
WWTP
Sewer
Atmosphere
9 (> 80 mm)
17 (Coarse compost)
2 (Monsters) LANDFILL
LQARSCEMAGREFTRATOLIXO3. 3. Drying and cDrying and characterisation of the haracterisation of the
drydry samples samples
Modecom categories:Modecom categories:
1. Biodegradable matter 9. Non classified combustibles1. Biodegradable matter 9. Non classified combustibles
2. Paper2. Paper 10. Glass 10. Glass
3. Cardboard3. Cardboard 11. Iron metals 11. Iron metals
4. Complex materials4. Complex materials 12. Other metals 12. Other metals
5. Textiles5. Textiles 13. Non classified incombustibles 13. Non classified incombustibles
6. Sanitary textiles6. Sanitary textiles 14. Special waste 14. Special waste
7. Films7. Films 15. Fraction < 8 mm 15. Fraction < 8 mm
8. Other plastics8. Other plastics
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a) Dryinga) Drying
b) Sieving at 100, 20 and 8 mmb) Sieving at 100, 20 and 8 mm
- a > 100 mm- a > 100 mm
- 20 mm < b < 100 mm- 20 mm < b < 100 mm
- 8 mm < c < 20 mm- 8 mm < c < 20 mm
- - d < 8 mmd < 8 mm
c) Sorting on Modecom categories for the fractions:c) Sorting on Modecom categories for the fractions:
a, b and ca, b and c
d) Quantification of inert materials on the fraction d) Quantification of inert materials on the fraction
dd
LQARSCEMAGREFTRATOLIXO
4. 4. Element quantificationElement quantification
((Pb, Cd, Hg, Cu, Ni, Cr, Zn, etc) Pb, Cd, Hg, Cu, Ni, Cr, Zn, etc)
•• Data for the balances of the elementsData for the balances of the elements
•• Each Modecom categoryEach Modecom category
a) Grindinga) Grinding
b) Analysisb) Analysis
LQARSCEMAGREFTRATOLIXO
5. Determination of the 5. Determination of the loss on ignitionloss on ignition for for Modecom categories Modecom categories and inert materials and inert materials for fractionfor fractionss < 8 mm < 8 mm
• • Data for the balances of organic matterData for the balances of organic matter
• • EEach Modecom categoryach Modecom category
a) Grindinga) Grindingb) Analysisb) Analysis
LQARSCEMAGREFTRATOLIXO
6. Data reconciliation6. Data reconciliation
Data:Data:a) Flow ratesa) Flow ratesb) Composition of flows according to the b) Composition of flows according to the
Modecom categories and inerts for fractionModecom categories and inerts for fractionss < 8 mm< 8 mm
c) Concentration of the analysed elements (Pb, c) Concentration of the analysed elements (Pb, Cd, Hg, Cu, Ni, Cr, Zn, etc) for each Modecom Cd, Hg, Cu, Ni, Cr, Zn, etc) for each Modecom categorycategory
d) Loss on ignition d) Loss on ignition for Modecom categories for Modecom categories along along the composting processthe composting process
Software BILCO (BRGM developed)Software BILCO (BRGM developed)
LQARSCEMAGREFTRATOLIXO
7. Data treatment7. Data treatment
Calculation of the following Calculation of the following balancesbalances::
a) Each of the Modecom categoriesa) Each of the Modecom categories
b) Fresh matterb) Fresh matter
c) Non synthetic organic matterc) Non synthetic organic matter
d) Dry matterd) Dry matter
e) Heavy metalse) Heavy metals
WET MATTER BALANCE - COEFFICIENTS
MSW MWS C PT Compost
Rejected materials Rejected materials
Water
CO2 + Water
Fraction for composting
Leachate + water Water Water
0,994
0,018 0,046 0,20 0,0040
0,0064
0,051 0,17 0,41
0,57 0,11
Composted material
LQARSCEMAGREFTRATOLIXO
WET MATTER BALANCE - SUMMARY(values relative to total input of MSW)
FRACTION FLUX (%)
Refuse 67
0,90 Recovery of material
22 Total leachate + water loss
4,6 Loss in respiration
Recovery
Composting
Compost
33
5,2 Compost
TOTAL 100
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ORGANIC NON SYNTHETIC MATTER BALANCE - COEFFICIENTS
MSW MWS C PT Compost
Rejected materials Rejected materials CO2 + Water
Fraction for composting
1,0
0,19
0,096 0,18 0,37
0,63 0,089
Composted material
LQARSCEMAGREFTRATOLIXO
NON SYNTHETIC ORGANIC MATTER BALANCE - SUMMARY
LQARSCEMAGREFTRATOLIXO
FRACTION FLUX (%)
Refuse 71
0,74 Recovery of material
19 Loss in respiration
Recovery
Composting
Compost
29
9,6 Compost
TOTAL 100
LQARSCEMAGREFTRATOLIXO
Process or equipment efficiencyProcess or equipment efficiency::
a) Loss of non synthetic organic matter, in the sorting a) Loss of non synthetic organic matter, in the sorting processesprocesses
- global loss- global loss
- equipment loss (example, 1st sieve)- equipment loss (example, 1st sieve)
b) Extraction of man made inert materialsb) Extraction of man made inert materials- global loss- global loss- equipment loss (example, densimetric table)- equipment loss (example, densimetric table)
c) Extraction of materials for recoveryc) Extraction of materials for recovery- iron metals- iron metals- cardboard- cardboard
LQARSCEMAGREFTRATOLIXO
Examples:Examples:
71% NSOM was lost as refuse in the separation 71% NSOM was lost as refuse in the separation processesprocesses
50,2% NSOM that entered the composting park 50,2% NSOM that entered the composting park was lostwas lost as COas CO22 and H and H22O, due to respiration O, due to respiration
49% NSOM of the composted material was lost in 49% NSOM of the composted material was lost in the post-treatmentthe post-treatment
The overbands had an iron metals’ extraction The overbands had an iron metals’ extraction efficiency of 47%efficiency of 47%
LQARSCEMAGREFTRATOLIXO
Work done for the Work done for the global level evaluationglobal level evaluation::
1. Tratolixo plant (Portugal)1. Tratolixo plant (Portugal)
MSWMSW MT MT C (Koch) C (Koch) PT PT COMPOSTCOMPOST
2. Kirchheim plant (Germany)2. Kirchheim plant (Germany)
BIOWASTEBIOWASTE MT MT C (Koch) C (Koch) PT PT COMPOSTCOMPOST
3. Bamberg plant (Germany)3. Bamberg plant (Germany)
BIOWASTE BIOWASTE C (Biodegma) C (Biodegma) PT PT COMPOST COMPOST
LQARSCEMAGREFTRATOLIXO
BB. . BIOLOGICAL TREATMENT BIOLOGICAL TREATMENT PROCESSPROCESS LEVEL LEVEL
Composting Composting Microbiological Process Microbiological Process
-- Substrate availability Substrate availability-- Temperature Temperature
- O- O22 and CO and CO22 concentrations concentrations
- Water content- Water content- Nutrient balance- Nutrient balance- pH- pH- Particle size- Particle size
LQARSCEMAGREFTRATOLIXO
Process monitoring:Process monitoring:
i) Along the processi) Along the process
- - Substrate availability (vSubstrate availability (volatile solidsolatile solids))
- [- [ SOUR (specific oxygen uptake rate)SOUR (specific oxygen uptake rate) ]]
- Granulometry- Granulometry
ii) Final productii) Final product
- Self-heating test- Self-heating test
LQARSCEMAGREFTRATOLIXO
Parameters to be measured:Parameters to be measured:
1.1. Temperature Temperature
2.2. O O22 and CO and CO22 concentrations concentrations
3.3. Water content Water content
4. Particle size (g4. Particle size (granulometryranulometry))
5.5. Substrate availability (vSubstrate availability (volatile solidsolatile solids))
6.6. Self-heating test (final product) Self-heating test (final product)
LQARSCEMAGREFTRATOLIXO
1. Temperature1. Temperature
Process speed Process speed 45 – 60ºC 45 – 60ºC Sanitation Sanitation > 55ºC > 55ºC Process speed + sanitation Process speed + sanitation 55 – 60ºC 55 – 60ºC
Measurement:Measurement:- 10 zones along the process- 10 zones along the process- 3 points per zone- 3 points per zone- 2 depths per point- 2 depths per point
TOTAL: 10x3x2 = 60 measurementsTOTAL: 10x3x2 = 60 measurementsRepeat the procedure X? daysRepeat the procedure X? days
LQARSCEMAGREFTRATOLIXO
TratolixoTratolixo
Temperature (ºC) - Composting park 1Temperature (ºC) - Composting park 1
LQARSCEMAGREFTRATOLIXO
TratolixoTratolixoTemperature (ºC) - Composting park 2Temperature (ºC) - Composting park 2
LQARSCEMAGREFTRATOLIXO
2.2. O O22 and CO and CO22 concentrations concentrations
Aerobic Aerobic versusversus anaerobic conditions anaerobic conditions
Odours, polluting gasesOdours, polluting gases
[ [ OO22 ]: Ideally > 15%; not < 10%]: Ideally > 15%; not < 10%
Measurement:Measurement:
- ? zones along the process- ? zones along the process
- ? points per zone- ? points per zone
- ? depths per point- ? depths per point
Repeat the procedure X? daysRepeat the procedure X? days
LQARSCEMAGREFTRATOLIXO
3, 4 & 5. Water content, granulometry, 3, 4 & 5. Water content, granulometry,
and volatile solids contentand volatile solids content
Water content:Water content:
Most of the decomposition occurs in thin Most of the decomposition occurs in thin liquid films on the surfaces of particlesliquid films on the surfaces of particles
Theoretically, ideal moisture content Theoretically, ideal moisture content 100% 100%
Moisture levels and aerationMoisture levels and aeration
Biowaste, organic fraction MSW: Biowaste, organic fraction MSW:
50% < [H50% < [H22O] < 60%O] < 60%
Compost post-treatment: [HCompost post-treatment: [H22O] < 25 - 35%O] < 25 - 35%
LQARSCEMAGREFTRATOLIXO
Granulometry (particle size):Granulometry (particle size):
Mechanical and biological actionMechanical and biological action
Size reduction along the composting process Size reduction along the composting process
Use as a process monitoring parameterUse as a process monitoring parameter
LQARSCEMAGREFTRATOLIXO
Volatile solids (VS) content:Volatile solids (VS) content:
Experimentally LOI (loss on ignition):Experimentally LOI (loss on ignition):weight loss after burning at 550ºC weight loss after burning at 550ºC tt
Quick and simple estimate of the amount of Quick and simple estimate of the amount of organic matter in a sampleorganic matter in a sample
Organic matter degradation Organic matter degradation VS reduction VS reduction
Use as a process monitoring parameterUse as a process monitoring parameter
LQARSCEMAGREFTRATOLIXO
Procedure for determination of water Procedure for determination of water
content, granulometry, content, granulometry,
and volatile solids contentand volatile solids content
i) Collection of samplesi) Collection of samples
ii) Sieving at 20 mmii) Sieving at 20 mm
iii) Homogenisation of the fraction < 20 mm, iii) Homogenisation of the fraction < 20 mm, and and sub-samplingsub-sampling
iv) Drying at 105ºCiv) Drying at 105ºC
v) Loss on ignition at 550ºCv) Loss on ignition at 550ºC
granulometrygranulometry
moisture contentmoisture content volatile solids contentvolatile solids content
LQARSCEMAGREFTRATOLIXO
Tratolixo – Moisture contentTratolixo – Moisture content
0
10
20
30
40
50
60
1 2 3 4 5 6 7 8 9 10 11
Zone
Wate
r co
nte
nt
(%)
Real Ideal
LQARSCEMAGREFTRATOLIXO
22. . MODELLINGMODELLING
One existing model for the composting One existing model for the composting
plant of Mont-de-Marsanplant of Mont-de-Marsan
Developed by BRGM and CemagrefDeveloped by BRGM and Cemagref
LQARSCEMAGREFTRATOLIXOModel for the Mont-de-Marsan Model for the Mont-de-Marsan
plant:plant:
1. MILLING – decrease in granulometry 1. MILLING – decrease in granulometry
2. BIOLOGICAL SPLITTING – loss on 2. BIOLOGICAL SPLITTING – loss on organic matterorganic matter
3. PHYSICAL SPLITTING – sieves, 3. PHYSICAL SPLITTING – sieves, overband, densimetric separationoverband, densimetric separation
LQARSCEMAGREFTRATOLIXO
WP5:WP5:
• • Use the existing model as the basisUse the existing model as the basis
• • Add one new factor - TEMPERATUREAdd one new factor - TEMPERATURE
LQARSCEMAGREFTRATOLIXO
TEMPERATURETEMPERATURE
HEAT PRODUCTION(microbial respiration)
HEAT LOSS(conduction, convection
and radiation)
HEATER COOLER
Conduction Convection Radiation
LQARSCEMAGREFTRATOLIXO
MODEL COMPONENTSMODEL COMPONENTS
MILL Granulometry
PHYSICALSPLITTERS
Size, densimetric and magnetic separation processes
LQARSCEMAGREFTRATOLIXO
MODEL COMPONENTS MODEL COMPONENTS (cont)(cont)
HEATER
COOLER
BIOLOGICALSPLITTER
Organic matter content
Temperature
LQARSCEMAGREFTRATOLIXOMODELMODEL
MILL
BIOLOGICALSPLITTER
HEATER
COOLER
PHYSICALSPLITTERS
LQARSCEMAGREFTRATOLIXO
Data from the global Data from the global level evaluationlevel evaluation
PHYSICALSPLITTERS
LQARSCEMAGREFTRATOLIXO
Data from composting Data from composting process evaluation process evaluation
MILL
BIOLOGICALSPLITTER
HEATER
COOLER
LQARSCEMAGREFTRATOLIXOREACTION RATE (SPLITTER):REACTION RATE (SPLITTER):
Rate of degradation of volatile solidsRate of degradation of volatile solids
(Eq. 1)
r – reaction rate – reaction rate
[VS]t – concentration of volatile solids at time t – concentration of volatile solids at time t
k – reation rate constant – reation rate constant
tVSk
dtVSd
r ].[][
LQARSCEMAGREFTRATOLIXOReaction rate constant k:Reaction rate constant k:
(Eq. 1)
k depends on temperature (HEATER + COOLER) k depends on temperature (HEATER + COOLER) according the according the Arrhenius equationArrhenius equation::
(Eq. 2)
(Eq. 3)
2.
)(ln
TR
EadTkd
tVSk
dtVSd
r ].[][
)1
.(. TR
Ea
eAk
LQARSCEMAGREFTRATOLIXOArrhenius equationArrhenius equation::
(Eq. 3)
k – reaction rate constantA – constant (van’t Hoff – Arrhenius coefficient)Ea – activation energy (temperature independent)R – ideal gas constantT – absolute temperature
)1
.(. TR
Ea
eAk
LQARSCEMAGREFTRATOLIXO
Arrhenius equationArrhenius equation::
(Eq. 4)
Y = a + b.X
Y = ln(k) = ln(r / [VS]t)
X = 1 / T
a = C
b = - Ea / R
TRE
Cka 1
.)ln(
VS
Temperature
LQARSCEMAGREFTRATOLIXO
Temperature (real data)Temperature (real data)
Volatile solids content (invented data)Volatile solids content (invented data)
40
50
60
70
1 2 3 4 5 6 7 8 9 10
Zone
VS
(%)
30
40
50
60
Tem
pera
ture
(ºC
)
% VS Temp ºC
LQARSCEMAGREFTRATOLIXO
Temperature (real data)Temperature (real data)Volatile solids content (invented data)Volatile solids content (invented data)
r squared = 0,73r squared = 0,73
-6,0-5,5-5,0-4,5-4,0
0,003 0,00305 0,0031 0,00315 0,0032 0,00325
1/Temperature (1/ºK)
ln (
k)
ln(k) ln(k) adjusted
LQARSCEMAGREFTRATOLIXO
Reaction rateReaction rate
0,0
0,2
0,4
0,6
0,8
0 10 20 30 40 50 60
Time (day)
Rea
ctio
n r
ate
(%V
S/d
ay)
Experimental Adjusted
LQARSCEMAGREFTRATOLIXO
TemperatureTemperature
30
40
50
60
1 2 3 4 5 6 7 8 9 10Zone
Tem
pera
ture
(ºC
)
Experimental Aimed
LQARSCEMAGREFTRATOLIXO
Reaction rateReaction rateRate 1 – based on experimental temperature valuesRate 1 – based on experimental temperature values
Rate 2 – based on aimed temperature valuesRate 2 – based on aimed temperature values
0
0,2
0,4
0,6
0,8
0 20 40 60
Time (day)
Rea
ctio
n ra
te
(%V
S/d
ay)
Rate 1 Rate 2
LQARSCEMAGREFTRATOLIXO
Temperature (real data)Temperature (real data)
Volatile solids content (invented data)Volatile solids content (invented data)
40
50
60
70
1 2 3 4 5 6 7 8 9 10
Zone
VS
(%)
30
40
50
60
Tem
pera
ture
(ºC
)
% VS Temp ºC
LQARSCEMAGREFTRATOLIXOIn practice, will the calibration of In practice, will the calibration of
the model be successful?the model be successful?
Real dataReal data
Reaction rate (splitter) depends on:Reaction rate (splitter) depends on:
- - Substrate availability ([VS])Substrate availability ([VS])
- - TemperatureTemperature
- O- O22 and CO and CO22 concentrations concentrations
- Water content- Water content
- Nutrient balance- Nutrient balance
- pH- pH
- Particle size- Particle size
END