Diapositive 1 - ERMES GROUP€¦ · Title: Diapositive 1 Author: Bessagnet Created Date: 11/14/2017...
Transcript of Diapositive 1 - ERMES GROUP€¦ · Title: Diapositive 1 Author: Bessagnet Created Date: 11/14/2017...
S/I-VOC issues from vehicle emissions for
Secondary Organic Aerosol modellingBertrand BESSAGNET – [email protected]
Florian COUVIDAT – [email protected]
INERIS – FR – National Institute for Industrial Environment & Risks
ERMES Plenary Meeting - November 14th, 2017
EMPA - Swiss Federal Laboratories for Materials Science and Technology
Ueberlandstrasse 129, 8600 Dubendorf (Switzerland)
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Simulation at the global scale (PM2.5) with
CHIMERE - March 2014
Important contribution of SOA to PM2.5
CHIMERE – the french national chemistry transport developped by CNRS & INERIS used
for the official air quality forecasting PREV’AIR: www.prevair.org
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➢ Organic matter (OM) represents 20 to 30% of the particulate matter in Europe, this fraction is
dominated by the secondary organic fraction produced by chemical reactions of organic precursors
(Freutel et al., 2013, Crippa et al., 2013)
➢ Official primary PM emissions decrease (e. g. use of filtering techniques for the case of diesel
vehicles, improvement of efficiency of wood stoves, etc…)
➢ Air quality models usually underestimate PM, and the lack of some emissions is considered as one of
the explanations (particularly in winter due to wood burning)
➢ The secondary fraction and/or the organic fraction are underestimated by models
➢ In smog chambers, the aging of diesel vs gasoline exhausts show the importance of SOA formation.
In some experiments, gasoline vehicles produce more aerosols than diesel vehicles after several
hours in the chambers → role of VOC and S/IVOC
➢ WG on emissions decided during the 2015 TFMM in Krakow
➢ Semi volatile Organic Compounds (SVOC) are partly included in emission inventories
▪ How to complement these emissions inventories?
The S/I-VOC issue
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➢ Denier Van der Gon et al. (2014) shows that PM emissions are underestimated by
a factor 2-3 due to the missing SVOC emissions
➢ Missing emissions from other sources? Road trafic? Maritime trafic?
Nussbaumer et al. (2008)
Total organic carbon emissions for selected
countries according to the EUCAARI and the
TNO-newRWC emission inventories.
The S/I-VOC issue
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Dilution profiles
➢ Most organic compounds are semi volatile
➢ Their partitioning between gas & particles
depends on:
▪ Temperature
▪ The organic mass loading
▪ Example: dilution profile obtained from a diesel
vehicle (Robinson et al., 2010)
Dilution curve
OA
SVOCg
Equilibribum
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➢ SVOC (Semi Volatile Organic compounds): compounds present in the
gas and particle phases with non negligible weights
➢ IVOC (Intermediate Volatility Organic Compounds) too volatile to be
SVOC but not enough volatile to be identified by GC-MS. Could be a
significant source of SOA.
Definitions
SOA formation from diesel emissions
Zhao et al., Environ. Sci. Technol., 2014,
2015
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Conceptual scheme of SOA formation
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PM EF measurements – focus on the organic fraction
Elemental
Carbon
Metals-dust
Inorganics
IVOC
Not adsorbedon filters
POA in dilution samplers +
Total SVOC without IVOC+ +
Adsorbedvapors on filters
12 16 20 24 28 32 36
2
4
6
8
10
12
14
Em
issio
n F
acto
r in
mg
km
-1
Ambient POA
Molecule Carbon number
VOC
Adapted from Robinson et al. (2010)
IVOC SVOC LVOC ELVOC
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IVOC emissions in recent literature
Gasoline
(IVOC between 3 to 19% of NMHCs)
Diesel
(IVOC = 60% of NMHCs)
IVOC vs VOC
IVOC vs POA
Zhao et al., Environ. Sci.
Technol., 2015
Zhao et al., Environ. Sci.
Technol., 2014
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POA : Primary Organic Aerosol
BC: Black Carbon
PF SOA: Potential formation factor (equilavent for EF for secondary compounds)
DOC : Diesel Oxidation Catalyst
FAP : Particle Filter
In the case of Diesel DOC+FAP, SOA may be underestimated. If there is no absorbing
mass, SOA may not form.
Synthesis of emission factors (EF) from
simulation chambers (in mg/kg of fuel)
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Contribution to SOA
GasolineDiesel
Zhao et al., Environ. Sci. Technol., 2015
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➢ Based on trafic fleet from COPERT and emission factors (with details on
the speciation of emissions) from EMEP guidebooks
➢ IVOC :
▪ 60% of IVOC in VOC for diesel vehicles
▪ 19% of IVOC in VOC for gasoline vehicles
▪ 50% of IVOC in VOC for Motorcycles
➢ SVOC estimated with equilibrium assumption to estimate the missing
SVOC gaseous part:
▪ By linking an emission factor to an organic aerosol loading (by using a dilution
factor, a fraction of POA in PM, engine size)
▪ By computing the gas/particle partitioning at a specified temperature (>39°C)
A first estimate of S/I-VOC emissions
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Estimation of IVOC/SVOC emissions for France
Vehicles emit less and less organic aerosol
Increase of gaseous SVOC
Contribution of gasoline emissions decreases
Increase of IVOC emissions
A SIGNIFICANT PART OF SVOC ARE IN THE GAS PHASE
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3D simulations with the CHIMERE model
IVOC = 30% of VOC
Assume that IVOC are linear
alcanes from C14 to C18
NL06445 :Cabauw Netherlands
SIRTA : Nearby Paris
Simulated SOA
composition
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More and and more papers on the
contribution SOA from gasoline versus diesel vehicles
Platt et al. 2017 (Nature)
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➢ IVOC can be a significant source of SOA but their emissions can be difficult to
estimate.
➢ Need to better estimate SVOC and IVOC emissions from traffic
▪ Missing VOC emissions? Problems of wall losses during sampling?
➢ Need to better understand the SOA formation from IVOC
➢ French project EVORA (PRIMEQUAL ADEME) with INERIS-IFSTTAR-CITEPA
to identify IVOC by volatility bin for modern EU vehicles (gasoline and diesel)
emissions based on Zhao’s work
Conclusions
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IFSTTAR / INERIS interested to participate in H2020 projects
➢ LC-MG-1-4-2018 - InCo flagship on reduction of transport impact on air quality
▪ A) Low-emission oriented driving, management and assistance
• Driving measurement campaigns to assess driver behavior and correlate real emissions
• Impact of poor maintenance and tampering
▪ B) From recently defined emissions indicators (RDE NOx and PN max values, WLTP CO2 emissions)
• Develop a holistic testing and scoring mechanism to assess all vehicles (green vehicle index)
▪ C) Sensing and monitoring emission in urban road…
• Remote sensing of road vehicle emissions
• Data infrastructure around vehicle registration databases, traffic management measures and air
quality monitoring
➢ LC-MG-1-9-2018: Hardening vehicle environmental protection systems against tampering
Possible contribution to H2020 projects