Benchmarking of Municipal Wastewater Treatment Plants · Benchmarking of Municipal Wastewater...
Embed Size (px)
Transcript of Benchmarking of Municipal Wastewater Treatment Plants · Benchmarking of Municipal Wastewater...

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Benchmarking of Municipal Wastewater Treatment Plants
LWWTP LWWTP -- PraguePrague 20032003
Stefan LindtnerStefan Lindtner, , Helmut KroissHelmut Kroiss & & Otto NowakOtto NowakInstitute Institute forfor WaterWater QualityQuality and and WasteWaste MangementMangement
ViennaVienna University of TechnologyUniversity of Technology

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
What is “Benchmarking” ?
• Benchmarking is the process of identifying and understanding practices from other organisations to help your organisation improve its performance.
• Benchmarking is not only a comparison of actual costs with “benchmarks”,
• but also a comparison of “business processes” with the aim ofthe implementation of enhancements.

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Learning from the best

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Benchmarking in wastewater business
• Within the wastewater businessthere are processes which do not exist elsewhere (sewer operation, wastewater treatment),
• some exist in other branches too (administration, management, ...).
This presentation will focus on wastewater treatment related processes with a prevailing engineering aspect.

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Benchmark Actual value
“Savingspotential”
Influences on costs due tosite-specific particularities

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Process definition for comparisons
wastewater treatment plant ae
ratio
n
biog
as u
tilis
atio
n
P p
reci
pita
tion
……
……
.
mechanical-biological wastewater treatment
mechanicalpretreatment(screening, degritting)
sludge thickening & stabilisation
enhancedsludge
treatment(dewatering,
reuse/disposal)
process 1 process 2 process 4process 3

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Development of Performance IndicatorsAcquisition of Technical Data
( collection / survey of data)consultants
Process Indicators
Sludge thickening & stabilisation
Enhanced sludge treatment (& disposal)
Mechanical-biological treatment
Mechanical Pretreatment
Capital and operating costs
Data Quality Assessment
Cost accounting
Process Performance Indicators
university

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Data Quality Assessment by means of Mass BalancesAngegeben wurden 146 kWh/d 96 kWh/d Steuerung / Regelung Simultanfällung
Berechnet wurden 49 kWh/d Zeit-Pause (variabel)Denitrifikation Fe-II-sulfat
intermittierend 77000 (kg/a)
CSB= 1857 kg/d
Nachklärbecken CSB= 124 kg/d668 m³ A= 1413 m²
V= 4525 m³CSB-Entfernung 28%
Flächenbelüftung (4794 m³)
CSB= 587 kg/d
Angegeben wurden 52 kWh/d CSB= 679 kg/dBerechnet wurden 88 kWh/d
Konditionierungsmittel(1000kg/a)
CSB= 483 kg/d CSB= 68 kg/d
CSB= 552 kg/dCSB= 679 kg/d
CSB= 576 kg/dbeheizter Faulbehälter
CSB= ???
CSB= 577 kg/d
V= 97 m³ V= 2356 m³
Eindicker
O2-Sonde
t-TS= 31,8 d
CSB= 679 kg/d
TS= 4,4 kg/m³V= 4794 m³
Vorklärbecken
MÜSE
FackelHeizung
1283 kWh/dAngegeben wurde
Berechnet wurd156 kWh/d
2696 (m³/a)
668 m³0 (m³/a)
CSB-Entfernung 28%
Rechenbelüfteter
Längssandfang
CSB= 2096 kg/dkeine
Rechengutwäschekeine
Sandfangutwäsche CSB= 50 kg/d
Fettanfall (23 m³/a)
Fettübernahme (10m³/a)
CSB= 5
AngRechnegutanfall (62m³/a) Sandfangräumgut (55m³/a) Be
97 kWh/d
CSB= 577 kg/d
Polymer 3,7 h/d CSB= 577 kg/d2000 (kg/a)
Siebbandpresse19m³/h bei 3% TS 161m³
keine Kanalräumgutübernahmestation
Übernahmestation (Fäkalien/Senkgruben)
Nacheindicker
V= 97 m³
740 kgTS/d landwirtsch. Verwertung entwässerter Schlamm,
Schlammverwertung und Entsorgung
Eindicker
Vorklärbecken
Q TS CSB N P
Probenahme

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Process Indicators for Operating Costsp.e.(COD110) ⇔ p.e.(Ntot11) ?
B etr iebsko s ten
R2 = 0.87
Mio
5 Mio
10 Mio
15 Mio
20 Mio
25 Mio
30 Mio
0 20,000 40,000 60,000 80,000 100,000 120,000
EW -Nges11
Nges. gemessen und
P lausibilität gut bzw . mittel
St ichprobe=40
B etr iebsko s ten
R2 = 0.85
Mio
5 Mio
10 Mio
15 Mio
20 Mio
25 Mio
30 Mio
0 20,000 40,000 60,000 80,000 100,000 120,000
EW -C S B 110
operating costs operating costs
p.e.(Ntot11)p.e.(COD110)
decided: p.e.(COD110) as Mean Yearly Load ⇒ MYL-COD

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Process Indicators
Capital costs Operating costs Yearly costs
Total Standard designload (SDL-COD) MYL-COD
Process 1
Process 2
Process 3
Process 4RDL-COD
Mean yearly load (MYL-COD)
Real design load(RDL-COD)
SDL-COD

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Criteria for “Benchmark Plant” (“best practice”)
Criteria regarding operating & total yearly costs:
• In compliance with current treatmentefficiency requirements (emission standard)
• Sufficient data quality
• Typical municipal wastewater characteristic as COD/N ratio
These criteria are not relevant for capital costs !

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Definition of Benchmarks
The Benchmarks are represented by the plants- with the lowest specific costs - that meet the “criteria” for benchmarks.
Benchmarks have been defined- for the “yearly costs” (capital & operating)
- for the capital costs
- for the operating costs and- for the operating costs of each
of the four processes (1 … 4).

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Specific operating costs [Euro/(pe(COD110).a)]
10
20
30
40
Euro
/ [p
e-CO
D11
0*a]
N/COD = strong industrial influence 22
19 16
13 10
No compliance Plants with simultaneous stabilisation
70
60
50
BM = Benchmark
0
BMBM BM
N/C
OD
BM BM
N/C
OD
BM
Group 1 Group 2 Group 3 Group 4 Group 5
< 5,000 < 12,000 < 25,000 < 50,000 > 50,000 p.e.(COD110)

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
“Benchmark-Band” for operating and total yearly costs
p.e.(COD110)
10.00
20.00
30.00
40.00
50.00
60.00
70.00
80.00Euro/(p.e.(COD110)*a)
Benchmark-Band total yearly costsBenchmark-Band operating costs
2219
16 1310
50,0005,000 12,000 25,000Group 1 2 3 4 5
150,000
263535
66
71

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Operating costs related to the defined processes
wastewater treatment plant ae
ratio
n
biog
as u
tilis
atio
n
P p
reci
pita
tion
mechanical-biological wastewater treatment
mechanicalpretreatment(screening, degritting)
sludge thickening & stabilisation
enhancedsludge
treatment(dewatering,
reuse/disposal)
≈ 10 % ≈ 45 %operation costs (percentage)
≈ 45 %
……
……
.

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
0,0
0,5
1,0
1,5
kWh/kg-CODin
Group 1 Group 2 Group 3 Group 4 Group 5 Median aeration
No compliance
46 plants with fine bubble aeration
Median: 0.54 kWh/kg-CODin
17 plants with surface aerationMedian: 0.61 kWh/kg-CODin
Specific Energy Consumption for Process 2

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Representativeness of the Project for all Austrian municipal WWTP
Austria totalmio. p.e.-design 1.0 6.1 4.6 3.2 4.5fraction of p.e.-design 5 % 31 % 24 % 17% 23 %
included in this project:0,7 % 24 % 43 % 27% 0 %
25,000
50,000
p.e.
-des
ign
Group 1 Group 2 Group 3 Group 4 Group 5
5,000 ÷ 50,000 50,000 ÷ 200,000≤ 5,000
200,000 ÷
500,000
200,000
175,000
150,000
125,000
100,000
75,000
>500,000

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Summary and ConclusionsThe Benchmarking method developed is universally applicable to municipal WWTP from 5,000 to 500,000 p.e.( Final Report on the Internet: www.oewav.at )
“Benchmark-Band” for the total operating costs ranges between 10 €/(p.e.(COD110).a) for group 5 (> 50.000 p.e.)
and 22 €/(p.e.(COD110).a) for group 1 (< 5.000 p.e.)Operating costs related to processes: for Mech.-biol. treatment & Sludge stabilisation ≈ 45 %,for Mech. pretreatm. & Enhanced sludge treatment ≈ 55 %No correlation was found between operating costs and treatment efficiency

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
Questions ?

Vienna University of TechnologyINSTITUTE FOR WATER QUALITY AND WASTE MANAGEMENT
ProspectsThe project presented was only the starting point for the cost reduction process and needs further effort Adaptation of the method to smaller and larger plants
Internet platform - data collection
- data evaluation- comparison of performance indicators (PIs)
Discussion of the results in further workshops