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Finnish BC emission inventory, and national characteristics and user practice influence on domestic wood combustion
emissions
Kaarle J. Kupiainen 1,2, Mikko Savolahti 1, Niko Karvosenoja 1, Zbigniew Klimont 2
1 Finnish Environment Institute (SYKE)2 International Institute for Applied Systems Analysis (IIASA)
Project “Mitigation of Arctic warming by controlling European black carbon emissions (MACEB)”
LIFE+ 09 Environment Policy and Governance
Content
• National BC emission inventory (FRES model) • Some model results and comparisons with
global and regional models• Effect of national characteristics on domestic
wood combustion emissions• User practice influence on domestic wood
combustion emissions – sensitivity study• Conclusions
18.0
4.23
Finnish Regional Emission Scenario (FRES) modelwww.environment.fi/syke/pm-modeling
Finnish national IAM, the national tool under UNECE CLRTAP
Anthropogenic emissions 1990, 2000, 2005, 2010, 2020, 2030, 2050 (several activity scenarios)
Comprehensive and congruent calculation for primary and secondary PM gases•primary PM (TSP, PM10 - 2.5 - 1 - 0.1, chemical composition in size classes)•SO2, NOx, NH3, NMVOC•GHGs
Abatement technologies and costs
8 main sectors, more than 100 subsectors GAINS model compatible
Large point sources (approx. 250), area emissions (1 1km2)
Several emission heights Source: Kupiainen et al. 2006. EMISSIONS OF PRIMARY CARBONACEOUS PARTICLES, THEIR UNCERTAINTIES AND SPATIAL ALLOCATION IN FINLAND. Proceedings of the IUAPPA Regional Conference, Lille and Paris, 5-8 September 2006
BC OC
18.0
4.23
Finnish Regional Emission Scenario (FRES) modelwww.environment.fi/syke/pm-modeling
Domestic wood comb., boilers
Road traffic
Domestic wood comb., stoves
Machinery and off-road
OC
Finnish BC and OC emissions by sector
• Transport and domestic wood combustion are key sectors
• BC emission reductions happen mainly in the transport sector (Euro-standards)
• The national climate strategy (2008) scenario assumed increasing fuel wood use and some improvements in combustion technology in the domestic sector
• The additional emission reduction scenario (2020red) assumes further reduction potential (-25% BC, -19% OC)
– Domestic sector: All masonry heaters are modern (except in recreational buildings), boilers are equipped with ESPs (-8% BC, -7% OC reduction)
– Transport sector: All vehicles have Euro5 or Euro6 abatement (-16% BC, -9% OC reduction)
– Power generation & Industry: Fabric filters in large combustion plants, ESPs in small combustion plants (<50MW) (-1% BC, -3% OC reduction)
0
1
2
3
4
5
6
7
8
2005 2020 2020red
Base year Scenarios
Blac
k ca
rbon
Gg
a-1
Other (e.g. non combustion sources)
Machinery, off-road, air & marine traffic
Road traffic
Industrial processes
Domestic combustion
Power plants and industrial combustion
0
1
2
3
4
5
6
2005 2020 2020red
Base year Scenarios
Org
anic
carb
on G
g a-1
Other (e.g. non combustion sources)
Machinery, off-road, air & marine traffic
Road traffic
Industrial processes
Domestic combustion
Power plants and industrial combustion
Comparison with other BC emission inventories
• Comparison with Bond et al. (2007)* BC inventory and the GAINS model** (http://gains.iiasa.ac.at) BC results shows rather good agreement
• Key sectors are the same in all assessments, but there are differences in total emissions as well as sectoral distribution
0
1
2
3
4
5
6
7
8
9
FRES Bond et al. 2004 GAINS nat GAINS IEA
Blac
k ca
rbon
in
2000
(Gg
a-1)
Open burning
Other sources
Off-road
Road transport
Domestic combustion
Power plants and industry
* National data for Arctic Council countries presented in Sarofim et al. 2009. Current Policies, Emission Trends and Mitigation Options for Black Carbon in the Arctic Region.
0
1
2
3
4
5
6
7
8
9
2000 2010 2020 2030
Blac
k ca
rbon
(G
g a-1
)
FRES
Bond et al. 2007
GAINS nat
GAINS IEA REF
GAINS IEA 450
**GAINS model projections:• ’nat’ activities according to the national submissions
within the Gothenburg protocol revision • ’IEA REF’ and ’IEA 450’ according to the International
Energy Agency 2009 databases
BC and OC emission factors – national characteristics have to be reflected in emission inventories
• Dataset in 2005 (Kupiainen et al. 2006) was compiled based on international measurement literature on stoves (national BC/OC measurement were not available at the time)
• National measurements (field and lab) on Finnish devices became available in 2007-2009 (Tissari et al., 2007) and showed important differences compared with the old dataset :
– Masonry heaters and sauna stoves are most common device types in Finland (see pie chart). They are operated for a short time and with a high combustion rate.
– This is in contrast to e.g. iron stove or fireplace (abundant in Central Europe, US) where the need is to generate heat for a long time at low power
Fireplace1%
Iron stove2%
Kitchen range11%
Conventional masonry heater
17%
Sauna stove17%Masonry
oven12%Modern
masonry heater2%
Boiler, manual feed,
accumulator15%
Boiler, manual feed, no
accumulator5%
Boiler, automatic feed,
wood pellets1% Boiler, grate
burning, wood chips17%
Domestic sector activity shares for wood fuels, 2005
Fig : Tissari et al. 2007. Atm Env 41, 8330-8344
FRES model
BC and OC emission factors – national characteristics have to be reflected in emission inventories
0102030405060708090
100
Kitchen range
Conventional masonry heater
Sauna stove Masonry oven
Modern masonry heater
BC e
mis
sion
fac
tors
(m
g M
J-1) old
new
0
1
2
3
4
5
6
7
8
BC with old emission factors
BC with current emission factors
Gg BC a-1Domestic wood combustion
Other sources
+12% in total BC emissions, +39% in domestic wood sector BC
-19% in total OC emissions, -44% in domestic wood sector OC
0
1
2
3
4
5
6
7
8
OC with old emission factors
OC with current emission factors
Gg OC a-1Domestic wood combustion
Other sources
0102030405060708090
100
Kitchen range
Conventional masonry heater
Sauna stove Masonry oven
Modern masonry heater
OC
emis
sion
fac
tors
(m
g M
J-1) old
new
Sensitivity study on the influence of combustion practices on small scale wood burning emissions
• Emissions in domestic sector are influenced by combustion devices, fuel properties and user practices
• Studies indicate drastic increases in PM emissions from wood heaters and stoves with poor user practices
• No exact knowledge of the share of users with bad practices -> sensitivity study
• Three emission profiles were designed for input to the model to study the effect of common user mistakes in operation of residential heaters
0
100
200
300
400
500
600
700
mg/MJ mg/MJ mg/MJ
Best practice -emission profile
Common user mistakes -
emission profile
Current - emission profile
PM2.
5 em
issio
n fa
ctor
(m
g M
J-1)
ash
POM-OC
OC
BC
1) Emissions with best operational practice of a heater
2) Emissions with common user mistakes (not fuel related)
3) Current emission profile was treated as average practice (composite of several devices and measurements)
1) and 2) based on Tissari et al. 2008 (Atm Env 42, 7862-7873) and Frey et al. 2009 (Boreal Env Res. Vol 14, 255-271)
(1)
(2)
(3)
Sensitivity study on the influence of combustion practices on small scale wood burning emissions
• Assumed ‘Poor combustion practice’ situation:
– 50% of users make the common mistakes, 5% burn according to the best operational practice of the heaters
• Assumed effect of education campaign:
– 90% of poor practice switched to best and average practice
– 20% of average practice is switched to best practice
• After the campaign– 5% of users make common mistakes,
35% burn according to best operational practice
• Emission reductions-30% in domestic wood BC
-15% in total BC
-47% in domestic wood OC
-30% in total OC
0%
10%
20%
30%
40%
50%
60%
70%
Good combustion practice Poor combustion practice
% o
f use
rs
Poor combustion practice
Best practice of the heater
Average practice
0123456789
Before After Before After
Domestic wood combustion Total emissions
Gg a-1
BC emissions before and after
0123456789
10
Before After Before After
Domestic wood combustion Total emissions
Gg a-1
OC emissions before and after
Assumed effect of an educational campaign
Conclusions
• Finnish BC emission inventory in good agreement with the GAINS model
• Small scale combustion in the domestic sector is a major source of BC (and OC) and it is projected to become the biggest emitter in the future.
• National characteristics of domestic wood combustion (e.g. influence of stove types and use patterns) should be reflected in BC inventories
• Emissions in domestic sector are influenced by combustion devices, fuel properties and user practices
• Common mistakes in user practices can lead to significantly higher PM emissions than during optimal operation
• Share of users making common mistakes in operating their stoves can be significant
• Emission reductions could be reached through non-technical measures, e.g. informing and educating people. The benefit of such measures is that the effect could be rather immediate compared to technical measures