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Brake emission measurement -what we can mesure? Dekati Ltd

Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

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Page 1: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

Brake emission measurement-what we can mesure?Dekati Ltd

Page 2: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

Introduction

• “Road transport is one of the most important sources of urban pollutant emissions”

• “Given the more stringent legislation foreseen for exhaust emissions, brake and tyre emissions have been estimated to become the main contributor to PM road transport sector emissions”

– Brakes = 10x tailpipe emissions

• “At present, airborne PM generated from different brake systems is currently not regulated mainly owing to the lack of a standardized sampling procedure and measurement techniques.”

© Dekati Ltd.

Towards the ranking of airborne particle emissions from car brakes – a system approach. Perricone et al. Proc IMechE Part D: J Automobile Engineering 1–17, 2016

Page 3: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

PMP – Particle Measurement Program UNECE Informal Group Non-exhaust particle emissions

• PMP group is working on the development of a suggested common test procedure for sampling and assessing brake wear particles:

– The selection/development of a braking test cycle appropriate for the investigation of particle emissions from brake wear

– selection of an appropriate methodology for particles generation and sampling– selection of the appropriate instrumentation for the measurement and characterization of

brake wear particles

• JRC has established a Task Force focusing on the particle measurement related aspects comprising the experts in this specific field

© Dekati Ltd.

Page 4: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

What can we measure?

What we would like to measure?What we should measure?

Why we are measuring?

Page 5: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

Why? Oh Why?

Science

EmissionsR&D

© Dekati Ltd.

Aerosol science

Chemistry

Elemental analysis

Emission factors

Health effects

Future Regulation

Enviromental effects

Tribology

Braking process

Material science

Product development

Product testing Future compliance

Durability

Friction

Test development

Routine tests

Particle formation Modeling

Curiosity

Page 6: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

Why?

• There are multiple good reasons/needs

• We need harmonisation

• We cannot accommodate all needs

• We should think as extensively as possible

(but only as much as is needed)

© Dekati Ltd.

Page 7: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

What can we measure?

Page 8: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

What we can?

• Estimate, measure and model the losses and representativeness of sampling

• Minimize losses from 10 nm to 10 um• Measure total number (PN) in real time• Measure total cumulative mass (PM10/PM2.5/PM1)• Measure number size distribution 10 nm to 10 um in real time• Measure mass size distribution from 10 nm to 10 um• Collect particles for analysis (size fractionated)• Measure density of particles as function of particle size• Measure volatile particles (within limits)

© Dekati Ltd.

Page 9: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

What we cannot (or is too impractical)

• Measure above 10-15 um• Measure/handle all volatiles accurately• Measure all particles below 10 nm -> nucleation mode• Measure mass size distribution in real time• Avoid losses completely• Simulate the real world emission conditions

© Dekati Ltd.

Page 10: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

What should we measure?

Page 11: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

Aerosol Physics: particle formation

© Dekati Ltd.

Nucleation mode Accumulation mode Coarse mode

Mechanical processes

GravitationSedimentation, washout

Gas to particle formation

Diffusion

High temperature/Temperature drop

Primaryparticles

Coagulation/agglomeration

Condensation growth

Break-up, fragmentation

FAST!FAST!

FAST!

Page 12: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

© Dekati Ltd.

Page 13: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

What should we?

Questions NotesSize range of interest

Above 10 um Difficulties sampling (losses), environmental effectsBelow 23 nm? Difficulties sampling (losses), volatiles/nucleationSize Distribution Distribution vs. total

MeasurandParticle Number (PN) Dominated by ultrafinesParticle Mass (PM) Dominated by coarse fractionSurface area (LDSA) Health effect related

Size definition Aerodynamic or electrical mobility diameter?Volatile fraction Need to characterize? Sample conditioningTime resolution 1 Hz? Actual time response of system?

© Dekati Ltd.

Page 14: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

What should we?

Questions NotesSize range of interest

Diffusion Flow rate vs. sampling line diameter

Inertial losses Isokinetic sampling, length of sampling line

Thermophoretic/electric Conductive measurement lines

Sample collection

Full flow/partial Flow control, sample extraction

Sample analysis What analysis methods are used? Requirements

Dilution Concentration range

Conditioning Removal of the volatiles, thermodenuder?

Flow and enclosures Physical construction, representativeness

Volume of sampling system Time constant, memory effect

© Dekati Ltd.

Page 15: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

Beware: here be Dragons:

• Brake emission is not tailpipe emission– There are lot of coarse particles (by mass)– Nucleation mode has solid particles

• Underestimation of importance of isokinetics or diffusional losses• PM10/PM2.5 = Aerodynamical diameter• Electrical mobility to aerodynamical to optical particle size calculations or transformations (or

between any different size definitions)• Number size distribution to mass size distribution calculation• Instrument calibrations which are dependent on particle properties or size distribution• ”Black box” calculations• Concept of volatiles is tricky• Mass above 10 um is tricky too• Nucleation mode PN is very tricky below 23 nm (accuracy and sharpness of cut-off or

detection of instruments)

© Dekati Ltd.

Page 16: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

Existing setup for brake measurement

• ELPI+– High Resolution or High Temperature

options

• DLPI– Gravimetric & analysis

• Dilution or conditioning– Optional dilution/thermodenuder

• eFilter– Total cumulative mass concentration,

mass correlation together with ELPI+– Routine measurements (future)

© Dekati Ltd.

Page 17: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

Measurement solutions

• ELPI+ (HT/HR)– Real-time PN/LDSA/PM– Distribution

• DLPI+– Gravimetric mass– Distribution– Analysis

• eFilter– Real-time LDSA– Total mass

© Dekati Ltd.

More inform

ation

Lesscom

plex

Page 18: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

© Dekati Ltd.

Wide size distribution

Real-time signal

Gravimetric mass and analysis

Page 19: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

DLPI+ for gravimetric and analysis

© Dekati Ltd.

• Cascade low-pressure impactor• 14 size fractions• 16 nm – 10 µm• Ø25 mm• No filter stage• 10 lpm flow rate• 40 mbar low pressure• Max 50 °C• Can be upgraded into an ELPI+™

Page 20: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

eFilter™ mass comparison, diesel exhaust

• Standard gravimetric filter measurement• Real-time signal throughout the filter sampling• Real-time PM accumulation during different stages of the

measurement

0

20

40

60

80

100

120

140

160

180

0

200

400

600

800

1000

1200

0 10 20 30

PM M

ass[

µg/m

3 ]

eFilte

r™cu

rrent

[fA]

Test #

eFilter™ and gravimetric PM

eFilter

PM Mass

Niemelä et al. 26th CRC Real World Emissions WorkshopData courtesy by Ford Motor Company

Page 21: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

Brake Emission Measurements: Dekati® ELPI®+

© Dekati Ltd.

High Resolution ELPI®+Particle number concentration

Small particles < 300nm from brake wear

Large particles >1µmfrom brake wear

Braking pattern

Page 22: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

© Dekati Ltd.

High Resolution ELPI®+Particle mass concentration

Large particles >1µmfrom brake wear

Braking pattern

Page 23: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

Dekati measurement solutions

© Dekati Ltd.

ELPI+, real-time, distribution, PN, PM, LDSA

Cyclone, PM

DLPI+, PM, distribution

PM10/2.5/1 Impactor, distribution, PM

Sampling and dilution of sample up to 450C

eFilter, PM, LDSA real-time

Page 24: Brake emission measurement -what we can mesure? · 2019-05-20 · • Estimate, measure and model the losses and representativeness of sampling • Minimize losses from 10 nm to 10

Thank you for your attention!www.dekati.com