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Institut für Abfall- und Abwasserwirtschaft e. V. Beckumer Str. 36 59229 Ahlen www.infa.de
QUOVADIS WP 2 - A holistic approach towards quality
management and classification
Prof. Dr.-Ing. Sabine Flamme
14. December 2006, Ispra
2
Tasks
Development of an European database on SRF production according to the classification system
Validation of CEN/TS on SRF classification and QM specifica-tion and classification including recommendations to TC 343 for the eventual revision of the TS before its upgrade to an European Standard (EN)
3
Reply: 90 replies towards SRFs produced in 78 plants (from 11
nations)Austria (6), Belgium (9), Denmark (1), Finland (4), Germany (21), Italy (27), The Netherlands (8), Norway (3), Sweden (7), United Kingdom (4)(in brackets: Number of replies towards SRF per nation))France: Only one statement towards used tyres was given
very different quality:„best case“: questionnaire filled in completely, no requests necessary„worst case“: only analysis data or technical data available
Examination of European SRF-data according to the classification system (relates to CEN TC 343 WG 2)
4
Check of the returns (examination of plausibility) and update of the questionnaires (including the results of analyses from external data bases f. e. ERFO)
Data examination with view on plausibility
Carry out calculations (if necessary, conversion from units)
Categorisation of the data quality with respect to the classification parameters (single data, n > = 40; single data, N >= 10 and < 40; single data, n < 10; no examination possible)
Examination of the classification and the classification parameters
Examination for the class distribution(class code e. g. "NCV 3, Cl 2, Hg 2")
Previous activities
5
Summary of evaluable data
Number of SRFs per parameter
NCV Chlorine Mercury
No evaluation possible, thereof 15 17% 28 31% 31 34%
Number of assays < 10 10 11% 10 11% 12 13%
no data given 5 6% 18 20% 19 21%
Evaluation possible, thereof 75 83% 62 69% 59 66%
Mean given (statistical evaluation of NCV and Cl possible)
20 22% 3 3%
Number of assays >= 10(statistical evaluation possible), thereof
55 61% 59 66% 59 66%
Number of assays >= 40 (additional evaluation via RND possible)
25 28% 29 32% 32 36%
Total 90*) 100% 90*) 100% 90*) 100%
*) not considered: one general statement towards used tyres
Possibility of evaluation according to feedback of data
6
Class code is established using median and 80th percentile based on
at least the last ten validated measurements or
at least ten validated measurements per annum taken at random
Prediction method for first classification: Using the 50 % rule in case of more than ten data
assays are available or Using a random generator in case of more than 40
data assays are available
50 % rule: classification is determined by comparing the measurements results of 50 % of the class limits (median and/or 80th percentile)
Mercury: Compliance rules for classification
7
In most cases insufficient database for comparison per annum
INFA evaluated the median and the 80th percentile of all given assays per SRF – for the first classification
Statistical evaluation when ten or more assays were given (comparison with the half limit values) – 50 %-Rule
Furthermore evaluation via RND when 40 or more assays were given (comparison with the whole limit values)
Mercury: Proceeding of classification
8
Results classification Mercury (via statistic)
Statistical evaluation according to the whole database per SRF and parameter
Classes
Unit 1 2 3 4 5
Statistical measure (Median)
<= 0,02 <= 0,03 <= 0,08 <= 0,15 <= 0,50
Statistical measure
(80th percentile)<= 0,04 <= 0,06 <= 0,16 <= 0,30 <= 1,00
Examination 19 11 15 8 6
Classi-ficationproperty
Mercury (Hg)
[mg/MJ ar]
9
Comparison results classification Mercury (statistic vs. RND)
Statistical evaluation
according to the
whole database per
SRF and parameter
Detection limits not always given
10
Compliance rules:
Comparison with the limit values of the classes has to be made by the mean of the values of
at least the last ten validated measurements or at least ten validated measurements per annum taken at
random
Proceeding of classification:
In most cases insufficient database for comparison per annum INFA evaluated the mean of all given assays per SRF
Statistical evaluation when ten or more assays were given (comparison with the whole limit values)
Additional evaluation via RND when 40 or more assays were given (comparison with the whole limit values)
NCV and Chlorine: Compliance rules for classification and proceeding
11
Results classification NCV and Chlorine (via statistic)
Statistical evaluation according to the whole database per SRF and parameter
Classes
Unit 1 2 3 4 5
Statistical measure (Mean)
>= 25 >= 20 >= 15 >= 10 >= 3 -
Examination 5 14 26 20 8 2 *)
Statistical measure (Mean)
<= 0,2 <= 0,6 <= 1,0 <= 1,5 <= 3 -
Examination 9 27 23 2 1 -
*) = SRF made from sewage sludge
No class
[MJ/kg ar]
[% dm]
Classi-ficationproperty
Chlorine (Cl)
NCV
12
Comparison results classification NCV (statistic vs. RND)
Statistical evaluation
according to the
whole database per
SRF and parameter
13
Comparison results classification Chlorine (statistic vs. RND)
Statistical evaluation
according to the
whole database per
SRF and parameter
14
Mercury subject to quality management system
Statistical evaluation according to the whole database per SRF and parameter
Number of SRFs in class (via statistic)
1 2 3 4 5
Class limits [mg/MJ ar]
Median < 0,02 < 0,03 < 0,08 < 0,15 < 0,50
80th percentile < 0,04 < 0,06 < 0,16 < 0,30 < 1,00
YES - 12 7 5 3 16 43 2,0
NO - 1 2 1 1 12 17 2,6
n.s. - 6 2 9 5 5 3 30 3,0
Total - 19 11 15 8 6 31 90 -
QMSexisting
Classificationnot possible(less data)
TotalWeighted
mean
Statisticalmeasure
n. s. = not specified
15
Number of SRFs in class (via statistic)
1 2 3 4 5
Class limits [mg/MJ ar]
Median < 0,02 < 0,03 < 0,08 < 0,15 < 0,50
80th percentile < 0,04 < 0,06 < 0,16 < 0,30 < 1,00
mono-streams - 3 1 1 1 6 2,0
mixed industrial/commercial waste
- 2 1 2 5 3,3
municipal solid waste - 2 7 1 1 10 21 2,9
mixed waste - 9 9 3 3 17 41 2,0
parties of wood - 3 3 -
sewage sludge - 2 4 6 4,7
n. s. - 2 2 2 1 1 8 2,4
Total - 19 11 15 8 6 31 90 -
Weightedmean
Origin of waste
Statisticalmeasure Classification
not possible(less data)
Total
Mercury subject to origin of waste, the SRF were made from
Statistical evaluation according to the whole database per SRF and parameter
n. s. = not specified
16
Mercury subject to use
Statistical evaluation according to the whole database per SRF and parameter
n. s. = not specified
co-incineration: only co-incineration, co-incineration / incineration: co-incineration as well as incineration
Number of SRFs in class (via statistic)
1 2 3 4 5
Class limits [mg/MJ ar]
Median < 0,02 < 0,03 < 0,08 < 0,15 < 0,50
80th percentile < 0,04 < 0,06 < 0,16 < 0,30 < 1,00
co-incineration - 11 8 8 6 2 18 53 2,4
co-incineration / incineration
- 1 1 1 4 7 2,7
incineration - 1 1 1 3 2,0
only further processing - 2 2 -
only landfill - 1 1 -
n.s. - 6 2 6 2 3 5 24 2,7
Total - 19 11 15 8 6 31 90 -
Weightedmean
Use
Statisticalmeasure Classification
not possible(less data)
Total
17
Necessity for analytical modification:Analytical methods for the parameters have
to be harmonised (necessary for standardised estimation)
Mercury: maximum detection limits should be givend
actual state:for each type of SRF is an adequate class
available
Conclusions (I)
18
Necessity to work prCEN/TS 15359 over (have to work out for deliverable 2.5), e. g.:
Textual modification:for NCV and Chlorine addition of a specified reference to the consideration of the 95% confidence interval; in contrast to prCEN/TR 15508 a note is missing here)
…
Further validation of the TS after its revision and after the analytical modification should be done
Conclusions (II)