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FOULING AND CONTAMINATION OF SENSORS
MMEA 2.4.1
Veijo Sutinen (Cemis-Oulu), Markus Riihimäki (UOulu),
Timo J Manninen (Valmet)
1
Faculty of Technology / Environmental and Chemical Engineering research group / Markus Riihimäki 9/17/2015
INTRODUCTION
Fouling and contamination of sensors
• Unwanted deposition or contamination from the fluid contact
with sensor element that causes signal noise, drift or delays
leading to error in measurement
• Classification on mechanism: crystallization, solidification,
particle deposition, microbial growth etc. on surface or
contamination of electrolyte in ISE electrodes.
• Classification on type of sensor: optical window, metal
electrode, membrane fouling or contamination in ISE electrodes
17.9.2015Faculty of Technology / Environmental and Chemical Engineering group
Markus Riihimäki
2
MITIGATION OF FOULING
Maintenance and cleaning interval, is this acceptable?
• Discrete or continuous measurement
• Manual or automatic cleaning and calibration
• Sensor installation position
Mitigation and cleaning techniques
• Mechanical: brushers, water or air jets
• Chemical: cleaning solutions
• Physical energy: magnetic, radiation, ultra sound
• Material and coating selection
Compensation of signal drift due to fouling and contamination
• Calibration
• Compensation
17.9.2015Faculty of Technology / Environmental and Chemical Engineering group
Markus Riihimäki
3
TEST CASE IN TASKILA
• Surface material and ultra sound tests at Taskila waste water plant in Oulu
• Reject water from sludge centrifuges
• 10 coatings: 9 for metals, 1 optical for sapphire glass
• Test with and without ultrasound
• Measurement of fouling after a test period c.a. 2,5h: visual, microscopy,
and absorbance measurement for fouling detection
• Chemical analysis from deposited material: SEM-EDS (microanalysis for
elements), IR-DRIFT (chemical identification)
17.9.2015Faculty of Technology / Environmental and Chemical Engineering group
Markus Riihimäki
4
TASKILA SET-UP
17.9.2015Faculty of Technology / Environmental and Chemical Engineering group
Markus Riihimäki
5
Cell A with
ultra sound
Cell B
TASKILA VISUAL OBSERVATIONS
17.9.2015Faculty of Technology / Environmental and Chemical Engineering group
Markus Riihimäki
6
A)

Ultra sound
B)

Referece
• All material fouled
• More fouling with ultra sound (A)
• YO safir fouled more than ref
• YO metal fouled more than ref
• ATV fouled equally to ref
• AR226 and 229 fouled the least
and cannot make difference
• All CVD coatings fouled markedly
particle or growth crystals observed
• Deposited material consist of
pale transparent deposit containing
dark particles
CHEMICAL ANALYSIS OF DEPOSITED MATERIAL
• Particles, X-ray microanalysis  Iron oxides
• Transparent deposit, IR-FTIR  waxes and fatty acids
17.9.2015Faculty of Technology / Environmental and Chemical Engineering group
Markus Riihimäki
7
Element Weight
%
Atomic%
O K 8.82 71.76
Al K 0.41 2.00
P K 0.34 1.44
S K 0.12 0.48
Ca K 0.27 0.87
Fe K 10.07 23.45
Totals 20.03
Kajaani, Peuraniemi plant
Oulu, Taskila plant
TRANSMITTANCE
17.9.2015Faculty of Technology / Environmental and Chemical Engineering group
Markus Riihimäki
8
• With ultrasound transmittance
dropped more than in ref
• With optical coating
transmittance dropped less
both with ref and ultrasound
9%
15%
22%
27%
TASKILA OUTCOME
• Optical windows and metal pieces were tested in reject water of sludge
centrifuges
• Fouling was mainly due to fat/wax and oxidized iron particles depositing on
sample surfaces
• Aim was to make difference between
(1) coatings on fouling susceptibility
(2) effectiveness of ultrasound
• In the tests, all surface fouled in 2,5 h
• Deposited material was found to be mostly fatty acids/wax with iron oxide
particles
• Ultrasound did not mitigate fouling, probably induced fat droplet coalescence
leading to heavier fouling
• Fouling was mitigated by some coating, marked benefit was found with AR
226 and 229 coatings (fluoropolymer coatings)
17.9.2015Faculty of Technology / Environmental and Chemical Engineering group
Markus Riihimäki
9
TEST CASE IN PEURANIEMI
Optical measurements at Peuraniemi waste water plant in Kajaani
• Waste water after biological filtration, treated plant effluent
• 3 optical cells with quartz windows:
(1) air jet (top position),
(2) spectrum measurement as reference (middle),
(3) continuous UV-light (bottom)
• Fouling detection from spectrum through optical cell trough tap
water
• Chemical analysis from deposited material:
SEM-EDS (microanalysis for elements),
IR-DRIFT (chemical identification)
17.9.2015Faculty of Technology / Environmental and Chemical Engineering group
Markus Riihimäki
10
PEURANIEMI TEST SET-UP
9/17/2015Faculty of Technology / Environmental and Chemical Engineering group
Markus Riihimäki
11
Continuous measurement
24/7 (190…1000nm)
UV-light (270nm))
Reference channel
UV quartz glass
Tap water
Sample fluid out
Sample fluid in
Cyclic air jet
2s 3,5h interval
TEST 1 PEURANIEMI PLANT IN KAJAANI
17.9.2015Faculty of Technology / Environmental and Chemical Engineering group
Markus Riihimäki
12
• Top (air-jet) and bottom position (UV light) have small drop in transmittance
• Reference has marked drop especially after 3 weeks
TEST 2 PEURANIEMI PLANT IN KAJAANI
17.9.2015Faculty of Technology / Environmental and Chemical Engineering group
Markus Riihimäki
13
• During test period 2 fouling was weak and difference between UV, air-jet and
reference could not be made
• Test period 2 was during spring having flood waters: high flow and low P
PEURANIEMI OUTCOME
• Aim was to find optical window fouling in plant effluent
conditions
• Mitigation of fouling was tested using (1) UV light and (2) air jet
• Test periods (2) were during the spring 2015
• In the first test period UV light and air jet was found to
mitigate fouling
• In the second test fouling was slow and no clear differences
• Further testing of UV light could be beneficial because in
normal operation of waste water plant it was found to mitigate
fouling effectively
17.9.2015Faculty of Technology / Environmental and Chemical Engineering group
Markus Riihimäki
14
CONCLUSIONS
• Ultrasound seem not to be option in fouling mitigation
• Not effective in waste water application
• Expensive structure if integrated to a sensor
• Coatings and especially UV light are promising techniques to
mitigate fouling in optical measurements
• UV led gives low-cost source of radiation to be used in connection
with optical measurements
• Optical coatings are demanding to find, most existing ones are
anti-reflection coatings and are not optimized for non-fouling
• Photo catalytic coatings (non-fouling) for windows are known but
was not unfortunately tested yet in this work
• In further studies, combination of photo catalytic coating and
UV-light would be beneficial to be studied
17.9.2015Faculty of Technology / Environmental and Chemical Engineering group
Markus Riihimäki
15

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Fouling and contamination of sensors

  • 1. FOULING AND CONTAMINATION OF SENSORS MMEA 2.4.1 Veijo Sutinen (Cemis-Oulu), Markus Riihimäki (UOulu), Timo J Manninen (Valmet) 1 Faculty of Technology / Environmental and Chemical Engineering research group / Markus Riihimäki 9/17/2015
  • 2. INTRODUCTION Fouling and contamination of sensors • Unwanted deposition or contamination from the fluid contact with sensor element that causes signal noise, drift or delays leading to error in measurement • Classification on mechanism: crystallization, solidification, particle deposition, microbial growth etc. on surface or contamination of electrolyte in ISE electrodes. • Classification on type of sensor: optical window, metal electrode, membrane fouling or contamination in ISE electrodes 17.9.2015Faculty of Technology / Environmental and Chemical Engineering group Markus Riihimäki 2
  • 3. MITIGATION OF FOULING Maintenance and cleaning interval, is this acceptable? • Discrete or continuous measurement • Manual or automatic cleaning and calibration • Sensor installation position Mitigation and cleaning techniques • Mechanical: brushers, water or air jets • Chemical: cleaning solutions • Physical energy: magnetic, radiation, ultra sound • Material and coating selection Compensation of signal drift due to fouling and contamination • Calibration • Compensation 17.9.2015Faculty of Technology / Environmental and Chemical Engineering group Markus Riihimäki 3
  • 4. TEST CASE IN TASKILA • Surface material and ultra sound tests at Taskila waste water plant in Oulu • Reject water from sludge centrifuges • 10 coatings: 9 for metals, 1 optical for sapphire glass • Test with and without ultrasound • Measurement of fouling after a test period c.a. 2,5h: visual, microscopy, and absorbance measurement for fouling detection • Chemical analysis from deposited material: SEM-EDS (microanalysis for elements), IR-DRIFT (chemical identification) 17.9.2015Faculty of Technology / Environmental and Chemical Engineering group Markus Riihimäki 4
  • 5. TASKILA SET-UP 17.9.2015Faculty of Technology / Environmental and Chemical Engineering group Markus Riihimäki 5 Cell A with ultra sound Cell B
  • 6. TASKILA VISUAL OBSERVATIONS 17.9.2015Faculty of Technology / Environmental and Chemical Engineering group Markus Riihimäki 6 A)  Ultra sound B)  Referece • All material fouled • More fouling with ultra sound (A) • YO safir fouled more than ref • YO metal fouled more than ref • ATV fouled equally to ref • AR226 and 229 fouled the least and cannot make difference • All CVD coatings fouled markedly particle or growth crystals observed • Deposited material consist of pale transparent deposit containing dark particles
  • 7. CHEMICAL ANALYSIS OF DEPOSITED MATERIAL • Particles, X-ray microanalysis  Iron oxides • Transparent deposit, IR-FTIR  waxes and fatty acids 17.9.2015Faculty of Technology / Environmental and Chemical Engineering group Markus Riihimäki 7 Element Weight % Atomic% O K 8.82 71.76 Al K 0.41 2.00 P K 0.34 1.44 S K 0.12 0.48 Ca K 0.27 0.87 Fe K 10.07 23.45 Totals 20.03 Kajaani, Peuraniemi plant Oulu, Taskila plant
  • 8. TRANSMITTANCE 17.9.2015Faculty of Technology / Environmental and Chemical Engineering group Markus Riihimäki 8 • With ultrasound transmittance dropped more than in ref • With optical coating transmittance dropped less both with ref and ultrasound 9% 15% 22% 27%
  • 9. TASKILA OUTCOME • Optical windows and metal pieces were tested in reject water of sludge centrifuges • Fouling was mainly due to fat/wax and oxidized iron particles depositing on sample surfaces • Aim was to make difference between (1) coatings on fouling susceptibility (2) effectiveness of ultrasound • In the tests, all surface fouled in 2,5 h • Deposited material was found to be mostly fatty acids/wax with iron oxide particles • Ultrasound did not mitigate fouling, probably induced fat droplet coalescence leading to heavier fouling • Fouling was mitigated by some coating, marked benefit was found with AR 226 and 229 coatings (fluoropolymer coatings) 17.9.2015Faculty of Technology / Environmental and Chemical Engineering group Markus Riihimäki 9
  • 10. TEST CASE IN PEURANIEMI Optical measurements at Peuraniemi waste water plant in Kajaani • Waste water after biological filtration, treated plant effluent • 3 optical cells with quartz windows: (1) air jet (top position), (2) spectrum measurement as reference (middle), (3) continuous UV-light (bottom) • Fouling detection from spectrum through optical cell trough tap water • Chemical analysis from deposited material: SEM-EDS (microanalysis for elements), IR-DRIFT (chemical identification) 17.9.2015Faculty of Technology / Environmental and Chemical Engineering group Markus Riihimäki 10
  • 11. PEURANIEMI TEST SET-UP 9/17/2015Faculty of Technology / Environmental and Chemical Engineering group Markus Riihimäki 11 Continuous measurement 24/7 (190…1000nm) UV-light (270nm)) Reference channel UV quartz glass Tap water Sample fluid out Sample fluid in Cyclic air jet 2s 3,5h interval
  • 12. TEST 1 PEURANIEMI PLANT IN KAJAANI 17.9.2015Faculty of Technology / Environmental and Chemical Engineering group Markus Riihimäki 12 • Top (air-jet) and bottom position (UV light) have small drop in transmittance • Reference has marked drop especially after 3 weeks
  • 13. TEST 2 PEURANIEMI PLANT IN KAJAANI 17.9.2015Faculty of Technology / Environmental and Chemical Engineering group Markus Riihimäki 13 • During test period 2 fouling was weak and difference between UV, air-jet and reference could not be made • Test period 2 was during spring having flood waters: high flow and low P
  • 14. PEURANIEMI OUTCOME • Aim was to find optical window fouling in plant effluent conditions • Mitigation of fouling was tested using (1) UV light and (2) air jet • Test periods (2) were during the spring 2015 • In the first test period UV light and air jet was found to mitigate fouling • In the second test fouling was slow and no clear differences • Further testing of UV light could be beneficial because in normal operation of waste water plant it was found to mitigate fouling effectively 17.9.2015Faculty of Technology / Environmental and Chemical Engineering group Markus Riihimäki 14
  • 15. CONCLUSIONS • Ultrasound seem not to be option in fouling mitigation • Not effective in waste water application • Expensive structure if integrated to a sensor • Coatings and especially UV light are promising techniques to mitigate fouling in optical measurements • UV led gives low-cost source of radiation to be used in connection with optical measurements • Optical coatings are demanding to find, most existing ones are anti-reflection coatings and are not optimized for non-fouling • Photo catalytic coatings (non-fouling) for windows are known but was not unfortunately tested yet in this work • In further studies, combination of photo catalytic coating and UV-light would be beneficial to be studied 17.9.2015Faculty of Technology / Environmental and Chemical Engineering group Markus Riihimäki 15