PREDICTION OF EMISSIONS AND EXPOSURE TO MICRO- AND … · 2016-11-23 · Impact on particle number...
Transcript of PREDICTION OF EMISSIONS AND EXPOSURE TO MICRO- AND … · 2016-11-23 · Impact on particle number...
PREDICTION OF EMISSIONS AND EXPOSURE
TO MICRO- AND NANOPARTICLES IN
INDUSTRIAL ENVIRONMENTS
1 C. Ribalta, 1 A. Salmatonidis, 2 A.S. Fonseca, 1 M.Viana, 1 M.C. Minguillón, 3 A. López-Lilao, 3 S. Estupiñá, 3 M.J. Ibáñez, 3 E.Monfort
1IDAEA-CSIC, Jordi Girona 18, 08034 Barcelona, Spain2NRCWE, Lersø Parkallé 105, 2100 Copenhagen, Denmark
3ITC, Av. Vicent Sos Baynat s/n, 12006 Castellón, Spain
CASE STUDY IN THE CERAMIC
INDUSTRY
Carla Ribalta | IDAEA-CSIC [email protected]
OUTLINE
Scope
Methodology
Results: - Spatial variability
- Exposure assessment as a function of:
- Material
- Operating conditions
- Air extraction system
Conclusions
1/16Carla Ribalta | IDAEA-CSIC [email protected]
SCOPE
Ceramic industry
Milling: mechanic process to reduce materials particle size
GOAL To quantify how particle emissions and workplace exposure are affected
by material properties and process conditions during a mechanic process (milling)
Impacts on workers exposure
Motivation: also potential impact on nanoparticle exposure
(process-generated nanoparticles)
Coarse particles
Dry powders different
nature Respiratory related disease
Used in traditional ceramic production processes and
ceramic pigments manufacturing. Dry process for mixing
and material preparation. Frequent process!
2/16Carla Ribalta | IDAEA-CSIC [email protected]
Materials Shape Uses d50 (µm)
Silica sand Spherical Ceramics production 120
Quartz 1 Spherical Materials preparation, forming,
glazing or firing.
14
Quartz 2 Spherical Pigment production for the
colouration of glazes.
3.8
Quartz 3 Spherical Used in rubber compounds. 2.7
Kaolin Laminar Traditional ceramics production.
Cement and metallurgical
industries
5.8
um
0 10 20 120
kaolin
Quartz 3
Quartz 2
Quartz 1
Silica sand
METHODOLOGY
Process conditions (aspiration, milling speed, particle separation):
High energy conditions Low energy conditions
3/16
Frequently used!
Carla Ribalta | IDAEA-CSIC [email protected]
Device Information Range Image
CPC butanol Number concentration 4-1500 nm
NanoScan Number
concentration/Size
10-420 nm
DiSCmini Number
concentration/Size
10-700 nm
Grimm Mass 0.25-32 µm
Cassette (Au TEM
grids)
Particles image <10µm
METHODOLOGY
4/16Carla Ribalta | IDAEA-CSIC [email protected]
Outdoor
Breathing Zone
IndoorMilling
-Grimm
-DiSCmini
-Grimm
-DiSCmini
-Cassette
-Grimm
-DiSCmini
-Cassette
-CPC
-NanoScan
Breathing Zone :1m
from the floor and 50
cm from the
emission source
METHODOLOGY
5/16
Milling
Devices
Pilot Plant
Carla Ribalta | IDAEA-CSIC [email protected]
0,0
50,0
100,0
150,0
200,0
250,0O
utd
oo
r
Ind
oo
r
Bre
ath
ing
zon
e
Ou
tdo
or
Ind
oo
r
Bre
ath
ing
zon
e
Ou
tdo
or
Ind
oo
r
Bre
ath
ing
zon
e
Ou
tdo
or
Ind
oo
r
Bre
ath
ing
zon
e
Ou
tdo
or
Ind
oo
r
Bre
ath
ing
zon
e
µg/
m3
PM10 Mass Silica sand Breathing zone Quartz 1 Breathing zone
Quartz 2 Breathing zone Quartz 3 Breathing zone
Kaolin Breathing zone
RESULTSSpatial variability
0,0
10,0
20,0
30,0
40,0
50,0
Ou
tdo
or
Ind
oo
r
Bre
ath
ing
zon
e
Ou
tdo
or
Ind
oo
r
Bre
ath
ing
zon
e
Ou
tdo
or
Ind
oo
r
Bre
ath
ing
zon
e
Ou
tdo
or
Ind
oo
r
Bre
ath
ing
zon
e
Ou
tdo
or
Ind
oo
r
Bre
ath
ing
zon
eSilica sand Quartz 1 Quartz 2 Quartz 3 Kaolin
µg/
m3
PM2.5 Mass
Particle exposure
generally higher in the
breathing zone
Temporal background:
minimum 15-20 minutes
prior measurements
6/16Carla Ribalta | IDAEA-CSIC [email protected]
Exposure assessment
Time
14:00:00 15:00:00 16:00:00 17:00:00 18:00:00
N (
cm
-3)
0
20000
40000
60000
80000
ug/m
3
1
10
100
1000
10000
CPC Number concentration
Grimm PM10 mass
Temporal series for Quartz 2
Log scale
for mass!
7/16
RESULTS
Carla Ribalta | IDAEA-CSIC [email protected]
Cleaning
Milling
Extraction
Exposure assessment
Time
15:08:00 15:28:00 15:48:00 16:08:00 16:28:00 16:48:00
N (
cm
-3)
0
20000
40000
60000
80000
ug
/m3
1
10
100
1000
10000
Milling 1 Milling 2 Milling 3 Milling 4 Milling 5 Milling 6
Low energy
Milling increases coarser particles as expected (marked
cycles)
Lower impact on ultrafine particles, not negligible (seems to
suggest accumulation)
Low: increase and decrease
High: more constant levels
Material feeding!!
8/16
RESULTS
Carla Ribalta | IDAEA-CSIC [email protected]
Milling process
High energy
Influence of input material
PM10 (High energy)
Material
BG Silica Silica BG Q1 Q1 BG Q2 Q2 BG Q3 Q3 BG KaolinKaolin
ug/m
3
1
10
100
1000
10000
Significant if :
Exposure > 3σ+BG
Significant increase for all materials!
9/16
PM2.5 and PM1 only
significant for Silica
and kaolin!
RESULTS
Carla Ribalta | IDAEA-CSIC [email protected]
Influence of input material
Number concentration (High energy)
Material
BG Silica Silica BG Q1 Q1 BG Q2 Q2 BG Q3 Q3 BG KaolinKaolin
N (
cm
-3)
0
10000
20000
30000
40000
50000
60000
High increase of
nanoparticle
exposure for Silica
10/16
RESULTS
Carla Ribalta | IDAEA-CSIC [email protected]
Influence of operating conditions
PM10 (High energy)
Material
BG Silica Silica BG Q1 Q1 BG Q2 Q2 BG Q3 Q3 BG KaolinKaolin
ug/m
3
1
10
100
1000
10000
3.53.7 7.9 3.1
24.0
PM10 (Low energy)
Material
BG Silica Silica BG Q1 Q1 BG Q2 Q2 BG Q3 Q3 BG KaolinKaolinu
g/m
31
10
100
1000
10000
4.5
1.6
18.7
Higher particle emission with high energy conditions
11/16
Workers exposure can be reduced changing operating conditions
Mass concentrationsRESULTS
Carla Ribalta | IDAEA-CSIC [email protected]
Influence of input material
0
1000000
2000000
3000000
4000000
5000000
6000000
7000000
8000000
0 1 2 3 4 5 6 7 8 9 10
Nu
mb
er
µm
Number size distribution (0.4-10 um)
Silica sand Quartz 1 Quartz 2 Quartz 3 Kaolin
12/16
RESULTS
Carla Ribalta | IDAEA-CSIC [email protected]
75,8
43,4
55,653,4 53,4 54,6 54,2
47,2
62,9
55,0
46,450,1
47,044,1
0
10
20
30
40
50
60
70
80
BG
Low
en
ergy
Hig
h e
ner
gy BG
Low
en
ergy
Hig
h e
ner
gy BG
Low
en
ergy
Hig
h e
ner
gy BG
Low
en
ergy
Hig
h e
ner
gy BG
Low
en
ergy
Hig
h e
ner
gy
Silica sand Quartz 1 Quartz 2 Quartz 3 Kaolin
nm
Size
Influence of operating conditions
Impact on mean
nanoparticle
diameter
General reduction of mean particle size
(BG)
Silica and Kaolin the smallest values
Highest reductions for Silica and Q3
13/16
SizeRESULTS
Carla Ribalta | IDAEA-CSIC [email protected]
Increase of particles
between 20-50 nm
Extraction ON!
0,0
50,0
100,0
150,0
200,0
250,0
300,0
350,0
400,0
450,0
Silica sand Quartz1 Quartz 2 Quartz 3 Kaolin
µg/
m3
PM10 for ProcessCleaning Feeding Milling Extraction
No reduction of nanoparticle
exposure!
Reduction of coarser
particle concentrations
14/16
Air extraction system
Extraction
Extraction
RESULTS
Carla Ribalta | IDAEA-CSIC [email protected]
Impact on mass concentrations, significant for all materials (PM10=69-226,
PM2.5=18-45, PM1=5-12 µg/m3)
CONCLUSIONS
15/16
Impact on particle number concentrations, significant for one material (30713-
49155 cm-3)
Operating conditions influence particle exposure and diameter
Mean diameters detected (<420 nm): 43-53 nm
Size distribution = trimodal (diameters 0.4-0.5/2/4 µm)
Extraction had a positive impact on particle mass concentrations reduction, but
negative on particle number concentration
Further studies:
o to compare with dustiness laboratory tests (ongoing)
o to see the potential impact on exposure of the increase in operating time due to the
use of lower energy conditions
Carla Ribalta | IDAEA-CSIC [email protected]
Thank you for your attention
Spanish Ministry of Science and Innovation CGL2015-66777-C2-1-R
SIINN ERA-NET and the European Commission
16/16
ACKNOWLEDGEMENTS
ITC technical staff
Carla Ribalta | IDAEA-CSIC [email protected]
Influence of input material
PM2.5 (High energy)
Material
BG Silica Silica BG Q1 Q1 BG Q2 Q2 BG Q3 Q3 BG KaolinKaolin
ug
/m3
1
10
100
1000
10000
17
RESULTS
Carla Ribalta | IDAEA-CSIC [email protected]
18
PM2.5
(Low energy)
Material
BG Q1 Q1 BG Q2 Q2 BG Q3 Q3 BG Kaolin Kaolin
ug/m
3
1
10
100
1000
10000
RESULTS
Carla Ribalta | IDAEA-CSIC [email protected]
Influence of input material
PM1 (High energy)
Material
BG Silica Silica BG Q1 Q1 BG Q2 Q2 BG Q3 Q3 BG KaolinKaolin
ug
/m3
1
10
100
19
RESULTS
Carla Ribalta | IDAEA-CSIC [email protected]
20
PM1 (Low energy)
Material
BG Q1 Q1 BG Q2 Q2 BG Q3 Q3 BG Kaolin Kaolin
ug/m
3
1
10
100
RESULTS
Carla Ribalta | IDAEA-CSIC [email protected]
Number concentration (High energy)
Material
BG Silica Silica BG Q1 Q1 BG Q2 Q2 BG Q3 Q3 BG KaolinKaolin
N (
cm
-3)
0
10000
20000
30000
40000
50000
60000
3.8
1.0
Number concentration (Low energy)
Material
BG Q1 Q1 BG Q2 Q2 BG Q3 Q3 BG KaolinKaolin
N (
cm
-3)
0
10000
20000
30000
40000
50000
60000
1.2
Influence of operating conditions
21
Particle numberRESULTS
Carla Ribalta | IDAEA-CSIC [email protected]
23
Silica sand
Time
11:00:00 13:00:00 15:00:00 17:00:00
N (
cm
-3)
0
10000
20000
30000
40000
50000
60000
ug/m
3
1e+0
1e+1
1e+2
1e+3
1e+4
1e+5
CPC Number concentration
Grimm PM10 mass
Quartz 1
Time
12:00:00 14:00:00 16:00:00 18:00:00
N (
cm
-3)
0
10000
20000
30000
40000
50000
60000
ug/m
3
10
100
1000
10000
CPC Number concentration
Grimm PM10 mass
Quartz 3
Time
09:00:00 11:00:00 13:00:00 15:00:00
N (
cm
-3)
10000
20000
30000
40000
50000
60000
70000ug/m
3
1e+0
1e+1
1e+2
1e+3
1e+4
1e+5
CPC Number concentration
Grimm PM10 mass
Kaolin
Time
09:00:00 10:00:00 11:00:00 12:00:00 13:00:00 14:00:00
N (
cm
-3)
0
2e+4
4e+4
6e+4
8e+4
1e+5
ug/m
3
1
10
100
1000
10000
CPC Number concentration
Grimm PM10 mass
68%
20%
12%
Quartz 1
73%
19%
8%
Quartz 2
70%
21%
9%
Quartz 3
60%
26%
14%
Quartz 1
73%
17%
10%
Quartz 2
62%17%
21%
Quartz 3
Low energy
80%
17%
3% Kaolin
79%
18%
3% Kaolin
Influence of operating conditions
BG values
influence!
23
Mass concentrationsRESULTS
Carla Ribalta | IDAEA-CSIC [email protected]
High energy
24
high energy Number PM10 PM2.5 PM1.0
Silica-1 2.9 1.9 2.8 1.3Silica-2 3.0 1.1 1.7 1.0Silica-3 2.5 1.1 1.8 1.0Silica-4 2.4 0.8 1.3 0.8Silica-TOT 2.7 1.3 1.9 1.0QS60-4 0.4 1.2 1.1 0.9
QS60-5 0.4 1.2 1.0 0.7QS60-6 0.4 1.0 0.8 0.6QS60-TOT 0.4 1.1 0.9 0.7QI01-4 0.5 2.6 0.3 0.3QI01-5 0.5 2.0 0.3 0.3QI01-6 0.4 2.8 0.4 0.3QI01-TOT 0.5 2.5 0.4 0.3QEL01-4 0.7 1.0 0.6 0.3
QEL01-5 0.7 0.7 0.5 0.3QEL01-6 0.8 3.0 1.7 0.4QEL01-TOT 0.7 1.6 0.9 0.3kolin-4 0.1 5.8 2.7 0.8kaolin-5 0.1 7.2 3.1 0.9kaolin-6 0.1 5.1 2.3 0.7kaolin-TOT 0.1 6.0 2.7 0.8
low energy Number PM10 PM2.5 PM1.0
Silica sand - - - -
QS60-1 0.98 0.55 0.66 0.88
QS60-2 0.98 0.45 0.58 0.97
QS60-3 0.84 0.40 0.52 0.97
QS60-TOT 0.93 0.47 0.58 0.94
QI01-1 0.23 2.00 0.21 0.37
QI01-2 0.26 1.14 0.19 0.38
QI01-3 0.41 1.04 0.21 0.44
QI01-TOT 0.30 1.39 0.21 0.40
QEL01-1 0.52 1.07 0.85 0.60
QEL01-2 0.43 0.69 0.56 0.45
QEL01-3 0.39 0.73 0.47 0.30
QEL01-TOT 0.45 0.83 0.63 0.45
kolin-1 0.28 14.61 9.00 2.93
kaolin-2 0.28 8.34 4.38 1.62
kaolin-3 0.54 7.57 4.73 1.65
kaolin-TOT 0.37 10.17 6.04 2.07
RESULTS
Carla Ribalta | IDAEA-CSIC [email protected]