Emission factors for burning processes: Difference between revisions

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{{variable|moderator=Pauliina}}
<noinclude>{{method|moderator=Pauliina}}
[[Category: BIOHER]]
[[Category:BIOHER]]
[[Category:Emission factors]]
[[Category:Energy]]
[[Category:Emission]]
[[Category:Contains R code]]
</noinclude>


Buildings need to be heated in winter so Combined Heat and Power (CHP) plants are placed to cities close to humans. Emissions have health impacts locally and globally.
== Question  ==


== Keywords ==
What are the emission factors for burning processes and how to estimate emissions based on them? The focus is on the situation in Finland.


== Scope ==
== Answer ==
 
[[File:Emissions from heating in Helsinki.png|thumb|centre|600px|Example of the use of emission factors: CO<sub>2</sub> and fine particle emissions in Helsinki. Scenarios are based on [[Helsinki energy decision 2015]].]]
 
An example code for downloading and using the variable.
 
<rcode embed=1>
## This code is Op_en2719/ on page [[Emission factors for burning processes]].
 
library(OpasnetUtils)
library(ggplot2)
 
objects.latest("Op_en2791", code_name = "emissionstest")
objects.latest("Op_en2791", code_name = "emissionFactors")
 
oprint(summary(EvalOutput(emissionFactors)))
 
</rcode>


=== Question  ===
== Rationale ==


What are the emission factors for burning processes in Finland?
=== HSY emission factors ===
{{disclink|EF for burning processes or EF by fuel types}}


=== Boundaries ===
''This section describes the use of HSY emission factors used for CO2 emission estimates. This should be merged with the other data, but it is first described as such.


Emission factors are estimated in Finland and kettle/plant types used in Finland only.
These emission factors are derived from the Helsinki Region Environmental Services (HSY) climate data [https://www.hsy.fi/fi/asiantuntijalle/ilmastonmuutos/hillinta/seuranta/Sivut/Paastot.aspx] on 27th Nov 2018. Emission factors were initially calculated for every entry in the data file (4180 rows in total). Then, emission sectors were compared along timeline for each city separately. We noticed that several sectors shared practically the same emission factors with few differences, which are not plausible as real differences (Table ''Sector classification''). So, we took a mean of the values to represent all sectors in the same EFclass group.
 
Then, we compared results from different cities. There were minor changes that may be due to some real differences in data, and also a some changes that looked like artefact. However, there were two sectors, namely ''district heating'' and ''fuels'' that clearly differed between cities in a plausible way. Therefore, we used city-specific emission factors for these two sectors and those of Helsinki for all other sectors (because Helsinki seemed to have the least amount of artefact in the data).
 
<t2b name="Sector classification" index="Sector,Sektori,EFclass,PKluokka" obs=dummy unit="-">
metro|metrot|electricity|sähkö|1
trams|raitiovaunut|electricity|sähkö|1
local trains|lähijunat|electricity|sähkö|1
consumer electricity|kulutussähkö|electricity|sähkö|1
passenger ships|matkustajalaivat|ships|laivat|1
cargo ships|rahtilaivat|ships|laivat|1
buses|linja-autot|diesel machines|dieselkoneet|1
vans|pakettiautot|diesel machines|dieselkoneet|1
machinery|työkoneet|diesel machines|dieselkoneet|1
trucks|kuorma-autot|diesel machines|dieselkoneet|1
leasure boats|huviveneet|boats|veneet|1
professional boats|ammattiveneet|boats|veneet|1
district heating|kaukolämpö|district heating|kaukolämpö|1
oil heating|öljylämmitys|oil heating|öljylämmitys|1
electric heating|sähkölämmitys|electric heating|sähkölämmitys|1
geothermal heating|maalämpö|geothermal heating|maalämpö|1
fuels|polttoaineet|fuels|polttoaineet|1
processes|prosessit|processes|prosessit|1
private cars|henkilöautot|private cars|henkilöautot|1
motor cycles|moottoripyörät|motor cycles|moottoripyörät|1
</t2b>


=== Definitions ===
<t2b name="Sector hierarchy" index="Class,Subclass,Luokka,Alaluokka" obs="dummy" unit="-">
heating|district heating|lämmitys|kaukolämpö|1
heating|oil heating|lämmitys|öljylämmitys|1
heating|electric heating|lämmitys|sähkölämmitys|1
heating|geothermal heating|lämmitys|maalämpö|1
electricity|consumer electricity|sähkö|kulutussähkö|1
transport|road transport|liikenne|tieliikenne|1
transport|rail transport|liikenne|raideliikenne|1
transport|shipping|liikenne|laivaliikenne|1
industry and machinery|machinery|teollisuus ja työkoneet|työkoneet|1
industry and machinary|fuels|teollisuus ja työkoneet|polttoaineet|1
industry and machinery|processes|teollisuus ja työkoneet|prosessit|1
waste management|landfill|jätteiden käsittely|kaatopaikka|1
waste management|biowaste composting|jätteiden käsittely|biojätteen kompostointi|1
waste management|waste water treatment|jätteiden käsittely|jäteveden käsittely|1
waste management|waste water sludge composting|jätteiden käsittely|jätevesilietteen kompostointi|1
agriculture|fields|maatalous|pellot|1
agriculture|farm animals|maatalous|kotieläimet|1
road transport|private cars|tieliikenne|henkilöautot|1
road transport|motor cycles|tieliikenne|moottoripyörät|1
road transport|vans|tieliikenne|pakettiautot|1
road transport|trucks|tieliikenne|kuorma-autot|1
road transport|buses|tieliikenne|linja-autot|1
rail transport|local trains|raideliikenne|lähijunat|1
rail transport|metro|raideliikenne|metrot|1
rail transport|trams|raideliikenne|raitiovaunut|1
shipping|leasure boats|laivaliikenne|huviveneet|1
shipping|professional boats|laivaliikenne|ammattiveneet|1
shipping|passenger ships|laivaliikenne|matkustajalaivat|1
shipping|cargo ships|laivaliikenne|rahtilaivat|1
</t2b>


Emission factors for burning processes is an impact assessment that take a wide perspective over environmental issues that can dealt with on a city level
<rcode name="HSYdata" label="Initiate ovariable HSYdata" embed=1>
# This is code Op_en2791/HSYdata on page [[Emission factors for burning processes]]
library(OpasnetUtils)


See discussions with the statements in the discussion page.{{disclink|Discussions of emission factors}}
HSYdata <- Ovariable("HSYdata",ddata="Op_en2791",subset="HSY CO2 emission and energy consumption")


== Answer ==
EFclass <- Ovariable("EFclass", ddata="Op_en2791", subset="Sector classification")


Table 1.  
objects.store(HSYdata, EFclass)
Describing emission types in different kind of plants and kettles with differen fuels and fuel power
cat("Ovariables HSYdata, EFclass stored.\n")
<t2b index="Type of plant or kettle,Fuel power (MW),Fuel,Emission type,PM separator,Observation" locations="Unit,Result,Description" unit="kg /MWh or mg /MJ
</rcode>
">
-|-|Heavy oil|CO2|-|kg /MWh|279|-
Poltinpoltto|<5|Heavy oil|PM|partly syklone|mg /MJ|20-90|Number of plants: 300
Poltinpoltto|5-15|Heavy oil|PM|partly syklone|mg /MJ|10-70|200
Poltinpoltto|15-50|Heavy oil|PM|partly syklone|mg /MJ|5-40|100
-|>50|Heavy oil|TSP|-|mg /MJ|15 (5-30)|Savolahti M., Personal communication
-|>50|Heavy oil|PM2.5|-|mg /MJ|5|Savolahti M., Personal communication
-|-|Light oil|CO2|-|kg /MWh|267|-
Poltinpoltto|<5|Light oil|PM|-|mg /MJ|0-10|20
Poltinpoltto|5-15|Light oil|PM|-|mg /MJ|0-10|20
Poltinpoltto|15-50|Light oil|PM|-|mg /MJ|0-10|10
Diesel/kaasumoottori|20-40|Heavy oil|PM|-|mg /MJ|30-60|2
-|-|Wood|CO2|-|kg /MWh|0|-
Kerrosleijukattila|5-10|Wood|PM|electric|mg /MJ|10-70|8
Kerrosleijukattila|10-50|Wood|PM|electric|mg /MJ|5-30|10
Kiertoleijukattila|5-10|Wood|PM|electric|mg /MJ|5-30|4
Puuarinakattila|<5|Wood|PM|syklone/electric|mg /MJ|20-150|120
Puuarinakattila|5-10|Wood|PM|syklone/electric|mg /MJ|20-150|50
Puuarinakattila|10-50|Wood|PM|syklone/electric|mg /MJ|10-150|35
Kaasutuskattila|2-7|Wood|PM|syklone|mg /MJ|50-150|5
Leijupoltto|20-100|Wood|PM2.5|(multisyklone+) electric|mg /MJ|2-20|Reference: VTT 2005
Leijupoltto|20-100|Biomass|PM2.5|(multisyklone+) electric|mg /MJ|2-20|Reference: VTT 2005;wood > biomass
Leijupoltto|100-300|Wood|PM2.5|(multisyklone+) electric|mg /MJ|1-15|VTT 2005
-|-|Peat|CO2|-|kg /MWh|382|-
Leijupoltto|5-20|Peat|PM2.5|(multisyklone+) electric|mg /MJ|5-25|VTT 2005
Leijupoltto|20-100|Peat|PM2.5|(multisyklone+) electric|mg /MJ|4-23|VTT 2005
Leijupoltto|100-300|Peat|PM2.5|(multisyklone+) electric|mg /MJ|2-20|VTT 2005
Leijupoltto|300-500|Peat|PM2.5|electric|mg /MJ|2-15|VTT 2005
Leijupoltto|>500|Peat|PM2.5|electric|mg /MJ|2|VTT 2005
|5-20|Heavy oil|PM2.5|-|mg /MJ|4-38|VTT 2005
|20-100|Heavy oil|PM2.5|-|mg /MJ|8-53|VTT 2005
|20-100|Heavy oil|PM2.5|cyclone/multicyclone|mg /MJ|5-24|VTT 2005
|100-300|Heavy oil|PM2.5|-|mg /MJ|8-22|VTT 2005
|100-300|Heavy oil|PM2.5|cyclone/multicyclone|mg /MJ|4-13|VTT 2005
</t2b>


VTT 2005 <ref>http://www.vtt.fi/inf/pdf/tiedotteet/2005/T2300.pdf</ref>
<rcode name="emfactor" label="Initiate ovariable emfactor" embed=1>
# This code is Op_en2791/emfactor on page [[Emission factors for burning processes]]
library(OpasnetUtils)


emfactor <- Ovariable(
  "emfactor",
  dependencies=data.frame(
    Name=c("HSYdata","EFclass"),
    Ident=c("Op_en2791/HSYdata","Op_en2791/HSYdata")
  ),
  formula=function(...) {
   
    dat <- HSYdata
    dat$Year <- as.numeric(as.character(dat$Year))
    dat$CO2 <- as.numeric(as.character(dat$CO2))
    result(dat) <- dat$CO2 / result(dat)
    levels(dat$Sector) <- tolower(levels(dat$Sector))
    levels(dat$Consumer) <- tolower(levels(dat$Consumer))
   
    ### Combine sectors that have essentially the same emission factor.
   
    colnames(dat@output)[colnames(dat@output)=="Sector"] <- "Sektori" # The data is in Finnish but titles in English
   
    dat <- dat * EFclass
   
    dat <- dat[!(is.infinite(result(dat)) | is.nan(result(dat)) | result(dat)<0.01),]
   
    dat2 <- dat[dat$City == "Helsinki" | dat$Sector %in% c("district heating","fuels") , ]
    dat2 <- oapply(dat2,INDEX=c("City","Year","EFclass"),FUN=mean)
   
    if(FALSE) {
     
      # The figures illustrate the reasons for merging some sectors under the same emission factor. 
      print(ggplot(dat@output,
                  aes(x=Year, y=result(dat),colour=City,group=paste(City,Sector)))+geom_line()+
              facet_wrap(~ EFclass, scales="free_y")+geom_point(aes(shape=City))+
              labs(y="CO2 emission factor (kg/kWh)")
      )
     
      print(ggplot(dat2@output,
                  aes(x=Year, y=result(dat2),colour=City,group=City))+geom_line()+
              facet_wrap(~ EFclass, scales="free_y")+geom_point(aes(shape=City))+
              labs(y="CO2 emission factor (kg/kWh)")
      )
    }
   
    #### Fill other EFclasses than district heating and fuels with city-unspecific values
   
    dat2$City <- as.factor(ifelse(dat2$EFclass %in% c("district heating","fuels"), as.character(dat2$City),NA))
    dat2@output <- fillna(dat2@output, "City")
   
    #### Make geothermal energy and electric heating dependent on consumer electricity by factors 0.5 and 1.5, respectively.
   
    elfact <- Ovariable(output=data.frame(
      EFclass=c("consumer electricity","geothermal heating","electric heating"),
      Result=c(1,0.5,1.5)),
      marginal=c(TRUE,FALSE)
    )
   
    dat3 <- dat2[!dat2$EFclass %in% c("geothermal heating","electric heating"),]
    tmp <-  dat2[dat2$EFclass %in% c("electricity"),]
    tmp$EFclass <- NULL
    dat3 <- combine(dat3, elfact*tmp) * EFclass
   
    return(dat3)
  }
)


=== Conclusion ===
objects.store(emfactor)
 
cat("Ovariable emfactor stored.\n")
Emission factors vary greatly depending on kettle or plant type, fuel type and fuel power. Type of emission and
</rcode>
possible PM separator also affect to EF number.
 
== Rationale ==
 
=== Data  ===
 
In Finland there are about 700 kettles that has under 5MW fuel power. Same amount is between 5 to 50 MW kettles and over 50 MW kettles there are 200 in Finland. One heating power plant can have several kettles. Many 5-50 MW power plants has also less than 5 MW kettle. <ref>http://www.ymparisto.fi/download.asp?contentid=3706
</ref>  


<t2b name="Emission factors in Helsinki" index="Sector,Year" locations="2015,2030,2035" unit="ton/GWh">
Consumer electricity|121.5|70.6|45
Electric heating|234.2|138.5|88.3
District heating|189.7|128.8|49.1
Natural gas|198|198|198
Light fuel oil|261|261|261
Coal|341|341|341
</t2b>


<u>Emission factors from Matti's conceptual model</u>
The data above comes from Gaia report [http://www.stadinilmasto.fi/2018/06/19/hiilineutraali-helsinki-2035-toimenpideohjelma/].


This data comes from [[:File:UrgencheConceptualModel.xlsx]].
=== Inputs and calculations ===


Table 2.
{| {{prettytable}}
{| {{prettytable}}
|+ '''Emission factors (t/TJt)
|+'''Variables needed for calculating emissions.
! Dependencies || Measure || Indices || Missing data
|----
|----
! || ||CO2 (+CO)|| CH4|| BC|| Fine PM|| SO2|| NO
| fuelUse (from [[Energy balance]] or other relevant source)
| Amount of fuel used per timepoint.
| Required indices: Fuel. Typical indices: Plant
|
|----
|----
|| Power plant/industry scale|| Coal|| 101|| 0.001|| 0.02|| 5|| 0.7|| 0.3
| emissionsLocations (case-specific knowledge from e.g. [[Helsinki energy production]])
| Tells how where emissions occur and from how high a stack.
| Required indices: - . Typical indices: Plant
|
|----
|----
|| Power plant/industry scale|| Oil (residual)|| 82|| 0.003|| 0.02|| 0.01|| 0.5|| 0.1
| emissionFactors (generic information, but may be cultural differences. E.g. [[Emission factors for burning processes]] ##
| emissions per unit of energy produced (g / J or similar unit)
| Required indices: Pollutant, Fuel. Typical indices:  Burner.
|
|----
|----
|| Power plant/industry scale|| NatGas|| 59|| 0.001|| 0.005|| 0|| 0|| 0.06
|}
|----
 
|| Power plant/industry scale|| Biomass (ww+agr)|| 130|| 0.025|| 0.05|| 1|| 0|| 0.2
<rcode name='emissionstest' label='Initiate emissions (only for developers)' embed=1 store=1>
|----
###This code is Op_en2791/emissionstest on page [[Emission factors for burning processes]].
|| Power plant/industry scale|| Municipal waste|| 100|| 0.029|| 0.05|| 1|| 0|| 0.2
 
|----
library(OpasnetUtils)
|| Local heating|| Coal|| 103|| 0.301|| 14|| 8|| 1|| 0.1
 
|----
####### Calculate emissions
|| Local heating|| Oil (distillate)|| 78|| 0.010|| 0.2|| 0|| 0.5|| 0.04
 
|----
emissions <- Ovariable("emissions",
|| Local heating|| NatGas|| 59|| 0.005|| 0.01|| 0|| 0|| 0.02
dependencies = data.frame(
|----
Name = c(
|| Local heating|| Biomass (wood)|| 148|| 0.253|| 10|| 1|| 0|| 0.7
"fuelUse", # Use of fuels (in MJ)
|----
"emissionFactors", # Emissions of different pollutants per energy (mg /MJ)
|| Transport|| Petrol|| 67|| 0.001|| || 0.01|| ||
"emissionLocations" # Locations where the emissions are emitted, indexed by City_area or Plant
|----
),
|| Transport|| Diesel|| 69|| 0.001|| || 0.028|| EURO-III (CRT traps)||
Ident = c(
|----
NA, # typically from [[Energy balance]] but there are other ways to calculate
|| Transport|| LNG|| 70|| 0.001|| || 0.007|| ||
"Op_en2791/emissionFactors", # [[Emission factors for burning processes]]
|----
NA # Case-specific data on locations of emissions.
|| Transport|| Liq biofuel|| 64|| 0.010|| || 0.03|| ||
)
|----
),
|}
formula = function(...) {
 
# convert from mg to ton emitted.
out <- fuelUse * emissionFactors * 1E-9
 
if(!"City_area" %in% colnames(out@output)) {
out <- out * Ovariable(
output = data.frame(City_area = "Not known", Result = 1),
marginal = c(TRUE, FALSE)
)
}
out <- unkeep(out * emissionLocations, sources = TRUE, prevresults = TRUE)
out@output$Emission_site <- as.factor(ifelse(
out@output$Emission_site == "At site of consumption",
as.character(out@output$City_area),
as.character(out@output$Emission_site)
))
 
out <- oapply(
out,
cols = c("Burner", "City_area"),
FUN = sum
)
return(out)
}
)
 
objects.store(emissions)
cat("Ovariable emissions stored.\n")
 
</rcode>
 
===Emission factors for heating===


Table 3.
<t2b name='Emission factors of energy production' index='Burner,Fuel,Pollutant' locations='PM2.5,CO2direct,CO2trade,CO2eq' desc='Description' unit='mg /MJ'>
{| {{prettytable}}
Household|Wood|140 (65.8-263)|74200|0|8333|Other stoves and ovens. Karvosenoja et al. 2008
|+ '''Energy contents
Household|Biofuel|140 (65.8-263)|74200|0|8333|Other stoves and ovens. Karvosenoja et al. 2008
Household|Light oil|0-10|74200-87222|74200|87222|Light oil <5 MW Emission factors for burning processes. Light oil 267 kg /MWh
Household|Oil|0-10|74200-87222|74200|87222|Light oil <5 MW Emission factors for burning processes. Light oil 267 kg /MWh
Household|Other sources|0-10|74200|74200|74200|Same as oil.
Household|Coal|0-10|74200-87222|74200|87222|
Household|Geothermal|0-10|74200-87222|74200|87222|
Household|Gas|0-3|55650|55650|55650|For PM2.5: one third of that of oil. For CO2: 3/4 of that of oil.
Household|Fuel oil|0-10|74200-87222|74200|87222|Light oil <5 MW Emission factors for burning processes. Light oil 267 kg /MWh
Domestic|Wood|140 (65.8-263)|74200|0|8333|Other stoves and ovens. Karvosenoja et al. 2008 Just repeat the previous rows to match different wording of burners.
Domestic|Biofuel|140 (65.8-263)|74200|0|8333|Other stoves and ovens. Karvosenoja et al. 2008
Domestic|Light oil|0-10|74200-87222|74200|87222|Light oil <5 MW Emission factors for burning processes. Light oil 267 kg /MWh
Domestic|Oil|0-10|74200-87222|74200|87222|Light oil <5 MW Emission factors for burning processes. Light oil 267 kg /MWh
Domestic|Other sources|0-10|74200|74200|74200|Same as oil.
Domestic|Coal|0-10|74200-87222|74200|87222|
Domestic|Geothermal|0-10|74200-87222|74200|87222|
Domestic|Gas|0-3|55650|55650|55650|For PM2.5: one third of that of oil. For CO2: 3/4 of that of oil.
Domestic|Fuel oil|0-10|74200-87222|74200|87222|Light oil <5 MW Emission factors for burning processes. Light oil 267 kg /MWh
Diesel engine|Fuel oil|0-10|74200-87222|74200|87222|Light oil <5 MW Emission factors for burning processes. Light oil 267 kg /MWh
Diesel engine|Light oil|0-10|74200-87222|74200|87222|
Diesel engine|Biofuel|0-10|74200-87222|74200|87222|
Large fluidized bed|Gas|0-3|55650|55650|55650|For PM2.5: one third of that of oil. For CO2: 3/4 of that of oil.
Large fluidized bed|Coal|2-20|106000|106000|106000|Same as peat.
Large fluidized bed|Wood|2-20|74200|0|74200|Leijupoltto 100-300 MW Emission factors for burning processes. Karvosenoja et al., 2008
Large fluidized bed|Biofuel|2-20|74200|0|74200|Leijupoltto 100-300 MW Emission factors for burning processes. Karvosenoja et al., 2008
Large fluidized bed|Waste|2-20|74200|0|-50000|CO2trade same as wood. CO2eq is guesswork but it is negative because without burning it would produce methane in landfill
Large fluidized bed|Peat|2-20|106000|106000|107500|Leijupoltto 100-300 MW Emission factors for burning processes. Peat 382 kg /MWh
Large fluidized bed|Heavy oil|8-22|91111-106000|106000|91111|Leijupoltto 100-300 MW Emission factors for burning processes. Peat 382 kg /MWh
Large fluidized bed|Fuel oil|8-22|91111-106000|106000|91111|Leijupoltto 100-300 MW Emission factors for burning processes. Peat 382 kg /MWh
Grid|Electricity|1-10|53000|212000|53000|50 % of large-scale burning (because of nuclear and hydro). Heavy oil 279 kg /MWh. Officially, electricity is not CHP but requires a double amount of coal to produce it.
None|Electricity_taxed|1-10|53000|212000|53000|50 % of large-scale burning (because of nuclear and hydro). Heavy oil 279 kg /MWh. Officially, electricity is not CHP but requires a double amount of coal to produce it. These emissions are assumed when power plants buy electricity from the grid.
None|Electricity|0|0|0|0|We might want to keep these locations in the model, but we assume that emissions are zero.
None|Heat|0|0|0|0|We might want to keep these locations in the model, but we assume that emissions are zero.
None|Cooling|0|0|0|0|We might want to keep these locations in the model, but we assume that emissions are zero.
</t2b>
 
*Large fluidized bed (Peat) CO<sub>2</sub>-eq value from Väisänen, Sanni: Greenhouse gas emissions from peat and biomass-derived fuels, electricity and heat — Estimation of various production chains by using LCA methodology<ref name="SVäisänen">Väisänen S: Greenhouse gas emissions from peat and biomass-derived fuels, electricity and heat - Estimation of various production chains by using LCA methodology. Lappeenranta University of Technology. 2014. http://www.doria.fi/bitstream/handle/10024/94404/isbn9789522655578.pdf?sequence=2</ref>
*Other CO<sub>2</sub>-eq values from [http://www.tut.fi/ee/Materiaali/Ekorem/EKOREM_LP_ja_sahko_raportti_051128.pdf EKOREM]: Sähkölämmitys ja lämpöpumput sähkönkäyttäjinä ja päästöjen aiheuttajina Suomessa.
* Classes of climate emissions:
*; CO2direct: Direct CO<sub>2</sub> emissions from the stack
*; CO2trade: CO<sub>2</sub> emissions as they are defined in the emission trade. Non-trade sectors have emission 0.
*; CO2eq: CO<sub>2</sub> emissions as equivalents (i.e. includes methane, N<sub>2</sub>O and other climate emissions based on life cycle impacts.
 
In Finland there are about 700 kettles that have under 5MW fuel power. Same amount is between 5 to 50 MW kettles and over 50 MW kettles there are 200 in Finland. One heating power plant can have several kettles. Many 5-50 MW power plants have also less than 5 MW a kettle. <ref> http://www.ymparisto.fi/download.asp?contentid=3706 {{attack|# |Link broken. I simply don't know what this is supposed to be.|--~~~~}}</ref>
 
:''See further discussions about emission factors of wood burning and other topics on the discussion page.{{disclink|Discussions of emission factors}}
 
<rcode name='emissionFactors' embed=1 label='Initiate emissionFactors (only for developers)'>
 
# This is code Op_en2791/emissionFactors on page [[Emission factors for burning processes]].
library(OpasnetUtils)
 
emissionFactors <- Ovariable(
name = 'emissionFactors',
ddata = 'Op_en2791', # [[Emission factors for burning processes]]
subset = 'Emission factors of energy production'
)
 
objects.store(emissionFactors)
cat("Objects emissionFactors initiated!\n")
 
</rcode>
<noinclude>
 
===Other data===
 
This is other important data that wasn't in the end used in the model's calculations. These include for example emission factors for wood heating, emission types for different kinds of plants, kettles and fuels, and energy and sulphur contents of different fuels.
 
{| class="wikitable collapsible collapsed"
! Show details
|----
|----
|| C2H5OH|| 29.700|| MJ/kg
|
|----
 
|| C2|| 24.000|| molecular weight
These data are used in [[Urgenche]].
|----
 
|| H6|| 6.000|| molecular weight
<t2b name='Emission factors for wood heating' index="Type,Observation" locations="Activity in Finland,PM2.5 emission factor" desc="Description" unit="PJ /a; mg /MJ">
|----
Residential buildings|34.2 (30.8-37.6)||Karvosenoja et al. 2008
|| O|| 16.000|| molecular weight
Primary wood-heated residential buildings|20.2 (16.6-23.9)||Karvosenoja et al. 2008
|----
Manual feed boilers with accumulator tank|5.42 (3.89-7.22)|80.0 (37.6-150)|Karvosenoja et al. 2008
|| Petrol || 45|| MJ/kg
Manual feed boilers without accumulator tank|2.67 (1.67-3.87)|700 (329-1310)|Karvosenoja et al. 2008
|----
Automatic feed wood chip boilers|1.46 (1.01-2)|50.0 (23.5-93.9)|Karvosenoja et al. 2008
|| Diesel|| 45|| MJ/kg
Automatic feed pellet boilers|0.102 (0.0693-0.142)|30.0 (14.1-56.3)|Karvosenoja et al. 2008
|----
Iron stoves|0.142 (0.0976-0.196)|700 (329-1310)|Karvosenoja et al. 2008
|| LNG|| 56|| MJ/kg
Other stoves and ovens|10.2 (7.86-12.8)|140 (65.8-263)|Karvosenoja et al. 2008
|----
Low-emission stoves|0|80 (37.6-150)|Karvosenoja et al. 2008
|| 1 kg ethanol = || 0.522|| kg C
Open fireplaces|0.163 (0.111-0.224)|800 (376-1500)|Karvosenoja et al. 2008
|----
Supplementary wood-heated residential buildings|14.0 (10.7-17.4)||Karvosenoja et al. 2008
|| produces|| 1.913|| kg CO2
Iron stoves|0.212 (0.135-0.316)|700 (329-1310)|Karvosenoja et al. 2008
|----
Other stoves and ovens|13.6 (10.4-16.9)|140 (65.8-263)|Karvosenoja et al. 2008
|| 1MJ ethanol produces || 0.064|| kg CO2
Low-emission stoves|0|80 (37.6-150)|Karvosenoja et al. 2008
|----
Open fireplaces|0.222 (0.14-0.332)|800 (376-1500)|Karvosenoja et al. 2008
|}
Recreational buildings|5.00 (4.50-5.50)||Karvosenoja et al. 2008
Iron stoves|0.782 (0.372-1.37)|700 (329-1310)|Karvosenoja et al. 2008
Other stoves and ovens|3.96 (3.19-4.59)|140 (65.8-263)|Karvosenoja et al. 2008
Open fireplaces|0.262 (0.118-0.477)|800 (376-1500)|Karvosenoja et al. 2008
</t2b>
 
Karvosenoja et al. 2008 <ref>Karvosenoja et al. 2008 [http://www.researchgate.net/publication/235763046_Evaluation_of_the_emissions_and_uncertainties_of_PM2.5_originated_from_vehicular_traffic_and_domestic_wood_combustion_in_Finland]</ref>


Table 4.
'''Table 1. Describing emission types in different kind of plants and kettles with different fuels and fuel power.
{| {{prettytable}}
|+ '''Sulphur contents
|----
! ||%
|----
|| Coal S|| 1
|----
|| Residual oil S|| 2.5
|----
|| Distillate oil S|| 0.5
|----
|| Diesel S|| 0.1
|----
|| Petrol S|| 0.05
|----
|}


Table 5.
<t2b index="Type of plant or kettle,Fuel power (MW),Fuel,Emission type,PM separator,Observation" locations="Unit,Result,Description" unit="kg /MWh or mg /MJ
{| {{prettytable}}
">
|+ '''Removal rates
-|-|Heavy oil|CO2|-|kg /MWh|279|-
|----
Poltinpoltto|<5|Heavy oil|PM|partly syklone|mg /MJ|20-90|Number of plants: 300
! ||%
Poltinpoltto|5-15|Heavy oil|PM|partly syklone|mg /MJ|10-70|200
|----
Poltinpoltto|15-50|Heavy oil|PM|partly syklone|mg /MJ|5-40|100
|| Power generation fly ash removal|| 99.5
-|>50|Heavy oil|TSP|-|mg /MJ|15 (5-30)|Savolahti M., Personal communication
|----
-|>50|Heavy oil|PM2.5|-|mg /MJ|5 (1.5-9)|Savolahti M., Personal communication
|| Heat/power fly ash removal|| 99
-|-|Light oil|CO2|-|kg /MWh|267|-
|----
Poltinpoltto|<5|Light oil|PM|-|mg /MJ|0-10|20
|| District heating fly ash removal|| 95
Poltinpoltto|5-15|Light oil|PM|-|mg /MJ|0-10|20
|----
Poltinpoltto|15-50|Light oil|PM|-|mg /MJ|0-10|10
|| Power generation SO2 removal|| 80
Diesel/kaasumoottori|20-40|Heavy oil|PM|-|mg /MJ|30-60|2
|----
-|-|Wood|CO2|-|kg /MWh|0|-
|| Heat/power SO2 removal|| 0
Kerrosleijukattila|5-10|Wood|PM|electric|mg /MJ|10-70|8
|----
Kerrosleijukattila|10-50|Wood|PM|electric|mg /MJ|5-30|10
|| District heating SO2 removal|| 0
Kiertoleijukattila|5-10|Wood|PM|electric|mg /MJ|5-30|4
|----
Puuarinakattila|<5|Wood|PM|syklone/electric|mg /MJ|20-150|120
|| Power generation NOx removal|| 0
Puuarinakattila|5-10|Wood|PM|syklone/electric|mg /MJ|20-150|50
|----
Puuarinakattila|10-50|Wood|PM|syklone/electric|mg /MJ|10-150|35
|| Heat/power NOx removal|| 0
Kaasutuskattila|2-7|Wood|PM|syklone|mg /MJ|50-150|5
|----
Leijupoltto|20-100|Wood|PM2.5|(multisyklone+) electric|mg /MJ|2-20|Reference: VTT 2005
|| District heating NOx removal|| 0
Leijupoltto|20-100|Biomass|PM2.5|(multisyklone+) electric|mg /MJ|2-20|Reference: VTT 2005;wood > biomass
|----
Leijupoltto|100-300|Wood|PM2.5|(multisyklone+) electric|mg /MJ|1-15|VTT 2005
|}
-|-|Peat|CO2|-|kg /MWh|382|-
 
Leijupoltto|5-20|Peat|PM2.5|(multisyklone+) electric|mg /MJ|5-25|VTT 2005
Table 6.
Leijupoltto|20-100|Peat|PM2.5|(multisyklone+) electric|mg /MJ|4-23|VTT 2005
Leijupoltto|100-300|Peat|PM2.5|(multisyklone+) electric|mg /MJ|2-20|VTT 2005
Leijupoltto|300-500|Peat|PM2.5|electric|mg /MJ|2-15|VTT 2005
Leijupoltto|>500|Peat|PM2.5|electric|mg /MJ|2|VTT 2005
|5-20|Heavy oil|PM2.5|-|mg /MJ|4-38|VTT 2005
|20-100|Heavy oil|PM2.5|-|mg /MJ|8-53|VTT 2005
|20-100|Heavy oil|PM2.5|cyclone/multicyclone|mg /MJ|5-24|VTT 2005
|100-300|Heavy oil|PM2.5|-|mg /MJ|8-22|VTT 2005
|100-300|Heavy oil|PM2.5|cyclone/multicyclone|mg /MJ|4-13|VTT 2005
</t2b>
 
VTT 2005 <ref>http://www.vtt.fi/inf/pdf/tiedotteet/2005/T2300.pdf</ref>
 
Emission factors vary greatly depending on kettle or plant type, fuel type and fuel power. Type of emission and
possible PM separator also affect to EF number.
 
Data been used in this page is from many different study and sources to get wide data base for EF caculations.
 
<u>Emission factors from Matti's conceptual model</u>
 
This data comes from [[:File:UrgencheConceptualModel.xlsx]].
 
Table 2.
{| {{prettytable}}
|+ '''Emission factors (t/TJt)
|----
! || ||CO2 (+CO)|| CH4|| BC|| Fine PM|| SO2|| NO
|----
|| Power plant/industry scale|| Coal|| 101|| 0.001|| 0.02|| 5|| 0.7|| 0.3
|----
|| Power plant/industry scale|| Oil (residual)|| 82|| 0.003|| 0.02|| 0.01|| 0.5|| 0.1
|----
|| Power plant/industry scale|| NatGas|| 59|| 0.001|| 0.005|| 0|| 0|| 0.06
|----
|| Power plant/industry scale|| Biomass (ww+agr)|| 130|| 0.025|| 0.05|| 1|| 0|| 0.2
|----
|| Power plant/industry scale|| Municipal waste|| 100|| 0.029|| 0.05|| 1|| 0|| 0.2
|----
|| Local heating|| Coal|| 103|| 0.301|| 14|| 8|| 1|| 0.1
|----
|| Local heating|| Oil (distillate)|| 78|| 0.010|| 0.2|| 0|| 0.5|| 0.04
|----
|| Local heating|| NatGas|| 59|| 0.005|| 0.01|| 0|| 0|| 0.02
|----
|| Local heating|| Biomass (wood)|| 148|| 0.253|| 10|| 1|| 0|| 0.7
|----
|| Transport|| Petrol|| 67|| 0.001|| || 0.01|| ||
|----
|| Transport|| Diesel|| 69|| 0.001|| || 0.028|| EURO-III (CRT traps)||
|----
|| Transport|| LNG|| 70|| 0.001|| || 0.007|| ||
|----
|| Transport|| Liq biofuel|| 64|| 0.010|| || 0.03|| ||
|----
|}
 
Table 3.
{| {{prettytable}}
|+ '''Energy contents
|----
|| C2H5OH|| 29.700|| MJ/kg
|----
|| C2|| 24.000|| molecular weight
|----
|| H6|| 6.000|| molecular weight
|----
|| O|| 16.000|| molecular weight
|----
|| Petrol || 43 || MJ/kg
|----
|| Diesel|| 45|| MJ/kg
|----
|| Liquefied natural gas (LNG) || 56|| MJ/kg
|---
|| Gas || 49,00 || MJ/kg
|---
|| Solid biofuel || 7,00 || MJ/kg
|---
|| Liquid biofuel || 29,00 || MJ/kg
|---
|| Coal || 25,60 || MJ/kg
|---
|| Crude oil || 43,0 || MJ/kg
|----
|| 1 kg ethanol = || 0.522|| kg C
|----
|| produces|| 1.913|| kg CO2
|----
|| 1MJ ethanol produces || 0.064|| kg CO2
|----
|}
 
Table 4.
{| {{prettytable}}
|+ '''Sulphur contents
|----
! ||%
|----
|| Coal S|| 1
|----
|| Residual oil S|| 2.5
|----
|| Distillate oil S|| 0.5
|----
|| Diesel S|| 0.1
|----
|| Petrol S|| 0.05
|----
|}
 
Table x
 
This data comes from [[File:Energy supply in Europe.xls]].
 
{| {{prettytable}}
|+ '''Fuel ash and sulfur contents of fuels (%)
! Fuel !! Ash !! Sulfur
|---
| Coal and peat || 11,0 || 1,1
|---
| Crude oil || 0,4 || 2,5
|---
| Petrochem products || 0,04 || 1,5
|---
| Biofuel and waste || 0,5 || -
|}
 
Table 5.
 
This data comes from [[File:Energy supply in Europe.xls]].
 
{| {{prettytable}}
|+ '''Removal rates (%)
|----
! !! Coal and peat !! Petrochem products !! Biofuel and waste
|----
|| Power generation fly ash removal || 99,5 || 90,0 || 99,0
|----
|| Heat/power fly ash removal|| 99,5 || 90,0 || 95,0
|----
|| District heating fly ash removal|| 95 || 90 || 90
|----
|| Power generation SO2 removal|| 45 || 45 ||
|----
|| Heat/power SO2 removal|| 0 || ||
|----
|| District heating SO2 removal|| 0 || ||
|----
|| Power generation NOx removal|| 0 || ||
|----
|| Heat/power NOx removal|| 0 || ||
|----
|| District heating NOx removal|| 0 || ||
|----
|}
 
Table X
 
This data comes from [[File:Energy supply in Europe.xls]].
 
{| {{prettytable}}
|+ '''CO<sub>2</sub> emissions from combustion (MtCO<sub>2</sub>/Mtoe)
!Coal & peat !! Crude oil !! Oil !! Gas !! Biofuels & waste
|---
| 3,86 || 3,13 || 3,13 || 2,27 || 4,79
|}
 
Table X
 
This data comes from [[File:Energy supply in Europe.xls]].
 
{| {{prettytable}}
|+ '''EC+OC emission factor (t/Mtoe)
! Type of plant !! Coal & peat !! Crude oil !! Petrochem products !! Gas !! Biofuels & waste
|---
|Electricity plants || 260 || || 300 || 170 || 300
|---
| CHP Plants || 610 || || 400 || 240 || 800
|---
| Heat plants || 1000|| || 600 || 400 || 3000
|---
| Blast furnaces || 3000 || || || ||
|---
| Gas works || 3000 || 1000 || || 100 ||
|---
| Oil refineries || || 400 || 200 || 100 ||
|---
| Petrochemical plants || 1000 || 300 || || ||
|---
| Coke/pat. fuel/BKB plants || 600 || || || ||
|---
| Liquefication plants || 600 || || || ||
|}
 
Table 6.
{| {{prettytable}}
|+ '''Energy efficiencies
|----
! Fuel|| Power only|| CHP Power|| CHP Heat|| Heat only
|----
|| Nuclear|| 0.37|| 0.32|| 0.50|| 1.00
|----
|| Hydro|| || || ||
|----
|| Wind, solar, geothermal|| || || ||
|----
|| Coal/peat|| 0.45|| 0.35|| 0.55|| 0.90
|----
|| Crude oil|| 0.50|| 0.40|| 0.50|| 0.90
|----
|| Natural gas|| 0.53|| 0.40|| 0.50|| 0.90
|----
|| Biomass|| 0.40|| 0.33|| 0.55|| 0.90
|----
|| Municipal waste|| 0.40|| 0.33|| 0.55|| 0.90
|----
|}
 
Table 7.
{| {{prettytable}}
|+ '''Relative GHG potency
|----
! Time|| CO2|| CH4
|----
|| 20 a.|| 1|| 72
|----
|| 100 a.|| 1|| 25
|----
|}
 
 
<u>Emission factors for PM</u>
 
Table 8.
Emission factors for small power plants in Finland.<ref>http://www.ymparisto.fi/download.asp?contentid=3706
</ref>
{| {{prettytable}}
{| {{prettytable}}
|+ '''Energy efficiencies
| Type of plant or kettle
| Fuel power (MW)
| Fuel
| PM separator
| Emission factor (mg/MJ)
| Number of plants
|----
|----
! Fuel|| Power only|| CHP Power|| CHP Heat|| Heat only
| Poltinpoltto
| &lt;5
| Heavy oil
| partly syklone
| 20-90
| 300
|----
|----
|| Nuclear|| 0.37|| 0.32|| 0.50|| 1.00
| Poltinpoltto
| 5-15
| Heavy oil
| partly syklone
| 10-70
| 200
|----
|----
|| Hydro|| || || ||  
| Poltinpoltto
| 15-50
| Heavy oil
| partly syklone
| 5-40
| 100
|----
|----
|| Wind, solar, geothermal|| || || ||  
| Poltinpoltto
| &lt;5
| Light oil
| -
| &lt;10
| 20
|----
|----
|| Coal/peat|| 0.45|| 0.35|| 0.55|| 0.90
| Poltinpoltto
| 5-15
| Light oil
| -
| &lt;10
| 20
|----
|----
|| Crude oil|| 0.50|| 0.40|| 0.50|| 0.90
| Poltinpoltto
| 15-50
| Light oil
| -
| &lt;10
| 10
|----
|----
|| Natural gas|| 0.53|| 0.40|| 0.50|| 0.90
| Diesel/kaasumoottori
| 20-40
| Heavy oil
| -
| 30-60
| 2
|----
|----
|| Biomass|| 0.40|| 0.33|| 0.55|| 0.90
| Kerrosleijukattila
| 5-10
| Wood
| electric
| 10-70
| 8
|----
|----
|| Municipal waste|| 0.40|| 0.33|| 0.55|| 0.90
| Kerrosleijukattila
| 10-50
| Wood
| electric
| 5-30
| 10
|----
|----
|}
| Kiertoleijukattila
 
| 20-40
Table 7.
| Wood
{| {{prettytable}}
| electric
|+ '''Relative GHG potency
| 5-30
| 4
|----
|----
! Time|| CO2|| CH4
| Puuarinakattila
| &lt;5
| Wood
| syklone/electric
| 20-150
| 120
|----
|----
|| 20 a.|| 1|| 72
| Puuarinakattila
| 5-10
| Wood
| syklone/electric
| 20-150
| 50
|----
|----
|| 100 a.|| 1|| 25
| Puuarinakattila
| 10-50
| Wood
| syklone/electric
| 10-150
| 35
|----
|----
|}
| Kaasutuskattila
 
| 2-7
| Wood
| syklone
| 50-150
| 5
|----
|}
("Taulukoissa esitetyt ominaispäästökertoimet edustavat vaihteluväliä, joiden
sisällä suurin osa yksittäisten laitosten arvoista on. Vaihteluvälit perustuvat käytettävissä
olevien laitostietokantojen arvoihin (VAHTI-tiedot) ja pienten polttolaitosten
päästömittaustuloksiin.")
 
{{attack|# |Using two languages is not suitable.
|--[[User:Sami Rissanen|Sami Rissanen]] 11:37, 4 February 2013 (EET)}}


<u>Emission factors for PM</u>


Table 8.
Table 9.
Emission factors for small power plants in Finland.<ref>http://www.ymparisto.fi/download.asp?contentid=3706
Emission factors for wood burning in small scale heating (e.g. secondary heating at houses) can be found from [http://wanda.uef.fi/pupo/index.html PUPO emission and toxicity database]
</ref>
{| {{prettytable}}
{| {{prettytable}}
| Type of plant or kettle
|+'''Table. Emissions of wood burning in different fireplaces.[http://wanda.uef.fi/pupo/index.html]
| Fuel power (MW)
| Fire place
| Fuel
| Number of measurements
| PM separator
| Mean (mg/MJ)
| Emission factor (mg/MJ)
| Min (mg/MJ)
| Number of plants
| Max (mg/MJ)
|----
|----
| Poltinpoltto
| Panospoltto
| &lt;5
| 32
| Heavy oil
| 76
| partly syklone
| 14.15
| 20-90
| 224.27
| 300
|----
|----
| Poltinpoltto
| Varaava tulisija
| 5-15
| 22
| Heavy oil
| 80
| partly syklone
| 27.97
| 10-70
| 224.27
| 200
|----
|----
| Poltinpoltto
| -Perinteinen
| 15-50
| 18
| Heavy oil
| 91
| partly syklone
| 30.75
| 5-40
| 224.27
| 100
|----
| -Moderni
| 3
| 32
| 27.97
| 36.52
|----
| Kamiinat ja muut
| 5
| 54
| 45.8
| 74.2
|----
|----
| Poltinpoltto
| Kiukaat
| &lt;5
| 1
| Light oil
| 168
|  -
|  -  
|  -  
| &lt;10
| 20
|----
|----
| Poltinpoltto
| Klapikattilat
| 5-15
| 4
| Light oil
| 59
| -
| 14.15
| &lt;10
| 106.14
| 20
|----
|----
| Poltinpoltto
| -Perinteinen
| 15-50
| 2
| Light oil
| 102
| -
| 98.59
| &lt;10
| 106.14
| 10
|----
|----
| Diesel/kaasumoottori
| -Moderni
| 20-40
| Heavy oil
|  -
| 30-60
| 2
| 2
| 16
| 14.15
| 17.58
|----
|----
| Kerrosleijukattila
| Poltinpoltto
| 5-10
| 49
| Wood
| 20
| electric
| 5.21
| 10-70
| 89.2
| 8
|----
| Kerrosleijukattila
| 10-50
| Wood
| electric
| 5-30
| 10
|----
|----
| Kiertoleijukattila
| Pellettipoltin
| 20-40
| 21
| Wood
| 21
| electric
| 5.21
| 5-30
| 89.2
| 4
|----
|----
| Puuarinakattila
| Stokeripoltin
| &lt;5
| 5
| Wood
| 15
| syklone/electric
| 12.21
| 20-150
| 18.71
| 120
|----
|----
| Puuarinakattila
|}
| 5-10
 
| Wood
<u>Emission factors for greenhousegases</u>
| syklone/electric
 
| 20-150
 
| 50
'''EFs by fuel based classification
|----
 
| Puuarinakattila
Heljo & Laineen selvityksessä on päädytty seuraaviin kasvihuonekaasupäästökertoimiin
| 10-50
(kgCO2/MWh) laskettuna rakennuksen bruttotasolla (rakennukseen hankittu energia)[http://webhotel2.tut.fi/ee/Materiaali/Ekorem/EKOREM_LP_ja_sahko_raportti_051128.pdf]
| Wood
 
| syklone/electric
Table 10.
| 10-150
{| {{prettytable}}
| 35
| kgCO2/MWh)
|----
| Puu
| 18
|----
|----
| Kaasutuskattila
| Kevyt polttoöljy
| 2-7
| 265
| Wood
| syklone
| 50-150
| 5
|----
|----
|}
| Raskas polttoöljy
("Taulukoissa esitetyt ominaispäästökertoimet edustavat vaihteluväliä, joiden
| 179
sisällä suurin osa yksittäisten laitosten arvoista on. Vaihteluvälit perustuvat käytettävissä
olevien laitostietokantojen arvoihin (VAHTI-tiedot) ja pienten polttolaitosten
päästömittaustuloksiin.")
 
 
 
 
Table 9.
Emission factors for wood burning in small scale heating (e.g. secondary heating at houses) can be found from [http://wanda.uef.fi/pupo/index.html PUPO emission and toxicity database]
{| {{prettytable}}
|+'''Table. Emissions of wood burning in different fireplaces.[http://wanda.uef.fi/pupo/index.html]
| Fire place
| Number of measurements
| Mean (mg/MJ)
| Min (mg/MJ)
| Max (mg/MJ)
|----
|----
| Panospoltto
| Kaukolämpö, erillistuotanto
| 32
| 231
| 76
| 14.15
| 224.27
|----
|----
| Varaava tulisija
| Kaukolämpö, yhteistuotanto
| 22
| 224
| 80
| 27.97
| 224.27
|----
|----
| -Perinteinen
| Kaukolämpö keskimäärin (yhteistuotantoa 73 %)
| 18
| 226
| 91
| 30.75
| 224.27
|----
|----
| -Moderni
| Sähkö keskimäärin
| 3
| 204
| 32
| 27.97
| 36.52
|----
|----
| Kamiinat ja muut
| Sähkön marginaalikulutus
| 5
| 714
| 54
| 45.8
| 74.2
|----
|----
| Kiukaat
| Sähkön perustehoalueen kulutus
| 1
| 112
| 168
|  -
|  -
|----
|----
| Klapikattilat
| Sähkön välitehoalueen kulutus
| 4
| 459
| 59
| 14.15
| 106.14
|----
|----
| -Perinteinen
| Sähkön huipputehoalueen kulutus
| 2
| 867
| 102
| 98.59
| 106.14
|----
|----
| -Moderni
| Sähkölämmityksen lämmitysenergia (esimerkkiarvo)
| 2
| 400
| 16
| 14.15
| 17.58
|----
|----
| Poltinpoltto
|}
| 49
 
| 20
 
| 5.21
Table 11.
| 89.2
Fuel classification and emission factors in Finland 2010.  <ref>[http://www.stat.fi/tup/khkinv/khkaasut_polttoaineluokitus.html]</ref> <ref>http://tilastokeskus.fi/tup/khkinv/fi_nir_150110.pdf</ref>. Definitions for classification of fuels and energy sources can be found  [http://www.stat.fi/tup/khkinv/khkaasut_maaritykset_2010_en.html here].
{| {{prettytable}}
| Code Heading
|
| Fuel-specific unit
| CO<sub>2</sub> default emission factor [t/TJ]
|
| Default net calorific value (as fired) [GJ/unit]
|
| NB
|----
|----
| Pellettipoltin
| 1
| 21
| Fossil fuels
| 21
|  
| 5.21
|  
| 89.2
|  
|
|
|----
|----
| Stokeripoltin
| 11
| 5
| Petroleum products
| 15
|
| 12.21
|
| 18.71
|
|
|
|
|----
| 111
| Petroleum gases
|
|
|  
|  
|  
|  
|----
|----
|}
| 1111
 
| Refinery gas
<u>Emission factors for greenhousegases</u>
| t
 
| 54.2
 
| *
'''EFs by fuel based classification
| 49.7
 
| *
Heljo & Laineen selvityksessä on päädytty seuraaviin kasvihuonekaasupäästökertoimiin
|  
(kgCO2/MWh) laskettuna rakennuksen bruttotasolla (rakennukseen hankittu energia)[http://webhotel2.tut.fi/ee/Materiaali/Ekorem/EKOREM_LP_ja_sahko_raportti_051128.pdf]
 
Table 10.
{| {{prettytable}}
| kgCO2/MWh)
|----
|----
| Puu
| 1112
| 18
| LPG (Liquefied petroleum gas)
| t
| 65.0
|
| 46.2
|
|  
|----
|----
| Kevyt polttoöljy
| 112
| 265
| Light distillates
|----
|
| Raskas polttoöljy
|
| 179
|  
|  
|  
|  
|----
|----
| Kaukolämpö, erillistuotanto
| 1121
| 231
| Naphtha
| t
| 72.7
|
| 44.3
|
|  
|----
|----
| Kaukolämpö, yhteistuotanto
| 1122
| 224
| Motor gasoline
| t
| 72.9
|
| 43.0
|
|  
|----
|----
| Kaukolämpö keskimäärin (yhteistuotantoa 73 %)
| 1123
| 226
| Aviation gasoline
| t
| 71.3
|
| 43.7
|  
|----
|----
| Sähkö keskimäärin
| 113
| 204
| Medium distillates
|
|
|
|
|
|  
|----
|----
| Sähkön marginaalikulutus
| 1131
| 714
| Kerosene (jet fuel)
| t
| 73.2
|
| 43.3
|
|  
|----
|----
| Sähkön perustehoalueen kulutus
| 1132
| 112
| Other kerosenes
| t
| 71.5
| *
| 43.1
|
|  
|----
|----
| Sähkön välitehoalueen kulutus
| 1133
| 459
| Diesel oil
| t
| 73.6
|
| 42.8
|
|  
|----
|----
| Sähkön huipputehoalueen kulutus
| 1134
| 867
| Light fuel oil (heating fuel oil)
|----
| t
| Sähkölämmityksen lämmitysenergia (esimerkkiarvo)
| 74.1
| 400
|  
|----
| 42.7
|}
 
 
Table 11.
Fuel classification and emission factors in Finland 2010.  <ref>[http://www.stat.fi/tup/khkinv/khkaasut_polttoaineluokitus.html]</ref> <ref>http://tilastokeskus.fi/tup/khkinv/fi_nir_150110.pdf</ref>. Definitions for classification of fuels and energy sources can be found  [http://www.stat.fi/tup/khkinv/khkaasut_maaritykset_2010_en.html here].
{| {{prettytable}}
| Code Heading
|
| Fuel-specific unit
| CO<sub>2</sub> default emission factor [t/TJ]
|  
|  
| Default net calorific value (as fired) [GJ/unit]
|  
|  
| NB
|----
|----
| 1
| 1135
| Fossil fuels
| Gasoil (for non-road use)
| t
| 73.6
| *
| 42.8
|  
|  
|  
|  
|
|
|
|----
|----
| 11
| 1139
| Petroleum products
| Other medium distillates
| t
| 74.1
|  
|  
| 42.7
|  
|  
|  
|  
|----
| 114
| Heavy distillates
|  
|  
|  
|  
|  
|  
|----
| 111
| Petroleum gases
|  
|  
|  
|  
|  
|  
|----
| 1141
| Heavy fuel oil, sulphur content &lt; 1%
| t
| 78.8
|  
|  
| 41.1
|  
|  
|  
|  
|----
|----
| 1111
| 1142
| Refinery gas
| Heavy fuel oil, sulphur content ≥ 1%
| t
| t
| 54.2
| 78.8
| *
|  
| 49.7
| 40.5
| *
|  
|  
|  
|----
|----
| 1112
| 1143
| LPG (Liquefied petroleum gas)
| Other heavy distillates
| t
| t
| 65.0
| 79.2
|  
| *
| 46.2
| 40.2
|  
|  
|  
|  
|----
|----
| 112
| 115
| Light distillates
| Petroleum coke
| t
| 97.0
|  
|  
| 33.5
|  
|  
|  
|  
|----
| 116
| Recycled and waste oils
| t
| 78.8
|  
|  
| 41.0
|  
|  
|  
|  
|----
|----
| 1121
| 119
| Naphtha
| Other petroleum products
| t
| t
| 72.7
| 78.8
|  
|  
| 44.3
| 30.0
|  
|  
|  
|  
|----
|----
| 1122
| 12
| Motor gasoline
| Coal
| t
| 72.9
|  
|  
| 43.0
|  
|  
|  
|  
|----
| 1123
| Aviation gasoline
| t
| 71.3
|  
|  
| 43.7
|  
|  
|
|----
|----
| 113
| 121
| Medium distillates
| Hard coal
|  
|  
|  
|  
|  
Line 580: Line 1,117:
|  
|  
|  
|  
|----
|----
| 1131
| 1211
| Kerosene (jet fuel)
| Anthracite
| t
| t
| 73.2
| 98.3
|  
| *
| 43.3
| 33.5
|  
|  
|  
|  
|----
|----
| 1132
| 1212
| Other kerosenes
| Hard coal, bituminous
| t
| t
| 71.5
| 94.6
|
| 24.6
| *
| *
| 43.1
|  
|----
| 122
| Other coal
|  
|  
|  
|  
|----
|
| 1133
| Diesel oil
| t
| 73.6
|  
|  
| 42.8
|  
|  
|  
|  
|----
|----
| 1134
| 1221
| Light fuel oil (heating fuel oil)
| Semi-bituminous coal, brown coal, lignite
| t
| t
| 74.1
| 108.0
|  
|  
| 42.7
| 20.0
|  
|  
|  
|  
|----
|----
| 1135
| 1222
| Gasoil (for non-road use)
| Coal briquettes
| t
| t
| 73.6
| 94.6
| *
| *
| 42.8
| 30.0
|  
|  
|  
|  
|----
|----
| 1139
| 1228
| Other medium distillates
| Coal tar
| t
| t
| 74.1
| 90.6
|  
| *
| 42.7
| 37.0
|  
|  
|  
|  
|----
|----
| 114
| 1229
| Heavy distillates
| Other non-specified coal
|  
| t
|  
| 108.0
|  
|  
|  
| 10.0
|  
|  
|  
|  
|----
|----
| 1141
| 123
| Heavy fuel oil, sulphur content &lt; 1%
| Coke
| t
| t
| 78.8
| 108.0
|  
|  
| 41.1
| 29.3
|  
|  
|  
|  
|----
|----
| 1142
| 124
| Heavy fuel oil, sulphur content ≥ 1%
| Coke oven gas
| t
| 1000 m3
| 78.8
| 41.5
|  
|  
| 40.5
| 16.7
|  
|  
|  
|  
|----
|----
| 1143
| 125
| Other heavy distillates
| Blast furnace gas
| t
| 1000 m3
| 79.2
| 263.7
| *
|  
| 40.2
| 3.8
|  
|  
|  
|  
|----
|----
| 115
| 13
| Petroleum coke
| Natural gas
| t
| 97.0
|  
|  
| 33.5
|  
|  
|  
|  
|----
| 116
| Recycled and waste oils
| t
| 78.8
|  
|  
| 41.0
|  
|  
|  
|  
|----
|----
| 119
| 131
| Other petroleum products
| Natural gas
| t
| 1000 m3
| 78.8
| 55.04
|  
|  
| 30.0
| 36.0
|  
|  
|  
|  
|----
|----
| 12
| 2
| Coal
| Peat
|  
|  
|  
|  
|  
Line 705: Line 1,235:
|  
|  
|  
|  
|
|----
|----
| 121
| 21
| Hard coal
| Peat
|  
|  
|  
|  
|  
Line 714: Line 1,244:
|  
|  
|  
|  
|----
|----
| 1211
| 211
| Anthracite
| Milled peat
| t
| t
| 98.3
| 105.9
| *
|  
| 33.5
| 10.1
|  
|  
|  
|  
|----
|----
| 1212
| 212
| Hard coal, bituminous
| Sod peat
| t
| t
| 94.6
| 102.0
|
| 12.3
|  
|  
| 24.6
| *
|  
|  
|----
|----
| 122
| 213
| Other coal
| Peat pellets and briquettes
| t
| 97.0
|  
|  
| 18.0
| *
|  
|  
|
|----
| 3
| Renewable and mixed fuels
|  
|  
|  
|  
|  
|  
|----
| 1221
| Semi-bituminous coal, brown coal, lignite
| t
| 108.0
|  
|  
| 20.0
|  
|  
|  
|  
|----
|----
| 1222
| 31
| Coal briquettes
| Biomass
| t
| 94.6
| *
| 30.0
|  
|  
|  
|----
| 1228
| Coal tar
| t
| 90.6
| *
| 37.0
|  
|  
|  
|  
|----
| 1229
| Other non-specified coal
| t
| 108.0
|  
|  
| 10.0
|  
|  
|  
|  
|----
|----
| 123
| 311
| Coke
| Forest fuelwood
| t
| 108.0
|  
|  
| 29.3
|  
|  
|  
|  
|----
| 124
| Coke oven gas
| 1000 m3
| 41.5
|
| 16.7
|  
|  
|  
|  
|----
|----
| 125
| 3111
| Blast furnace gas
| Firewood (stems and split firewood)
| 1000 m3
| t
| 263.7
| 109,6
|
| 3.8
|  
|  
|  
| 14.0
| *
|  BIO
|----
|----
| 13
| 3112
| Natural gas
| Chips from roundwood
| t
| 109,6
|  
|  
| 9.5
| *
|  BIO
|----
| 3113
| Forest residue chips
| t
| 109,6
|  
|  
| 9.0
| *
|  BIO
|----
| 312
| Industrial wood residue
|  
|  
|  
|  
|  
|  
|  
|  
|
|  BIO
|----
|----
| 131
| 3121
| Natural gas
| Bark
| 1000 m3
| t
| 55.04
| 109,6
|
| 36.0
|
|
|----
| 2
| Peat
|
|
|  
|  
|  
|  
|  
| 7.5
| *
|  BIO
|----
|----
| 21
| 3122
| Peat
| Sawdust, cutter shavings etc.
|
| t
|
| 109,6
|  
|  
|  
|  
|  
| 8.0
| *
|  BIO
|----
|----
| 211
| 3123
| Milled peat
| Wood residue chips
| t
| t
| 105.9
| 109,6
|
| 10.1
|
|  
|  
| 9.5
| *
|  BIO
|----
|----
| 212
| 3128
| Sod peat
| Unspecified industrial wood residue
| t
| t
| 102.0
| 109,6
|
| 12.3
|
|  
|  
| 7.5
| *
|  BIO
|----
|----
| 213
| 3129
| Peat pellets and briquettes
| Other industrial wood residue
| t
| t
| 97.0
| 109,6
|
| 18.0
| *
| *
| 8.8
| *
|  BIO
|----
| 313
| Black liquor and other concentrated liquors
| tka
| 109,6
|  
|  
| 11.5
| *
|  BIO
|----
|----
| 3
| 314
| Renewable and mixed fuels
| Other by-products from wood processing
|  
| TJ
|  
| 109,6
|  
|  
|  
|  
|  
|  
|  BIO
|----
| industry
|  
|  
|----
| 31
| Biomass
|  
|  
|  
|  
Line 887: Line 1,406:
|  
|  
|----
|----
| 311
| 315
| Forest fuelwood
| Recovered wood
|
|
|
|
|
|----
| 3111
| Firewood (stems and split firewood)
| t
| t
| 109,6
| 109,6
|  
|  
| 14.0
| 12.0
| *
| *
|  BIO
|  BIO
|----
|----
| 3112
| 316
| Chips from roundwood
| Wood pellets and briquettes
| t
| t
| 109,6
| 109,6
|  
|  
| 9.5
| 16.0
| *
|  
|  BIO
|  BIO
|----
|----
| 3113
| 317
| Forest residue chips
| Vegetable-based fuels
| t
| 109,6
|  
|  
| 9.0
| *
|  BIO
|----
| 312
| Industrial wood residue
|  
|  
|  
|  
Line 929: Line 1,432:
|  
|  
|
|
|  BIO
|----
|----
| 3121
| 3171
| Bark
| NEW!!Reed canary grass
| t
| t
| 109,6
| 100.0
|
| 14.6
|  
|  
| 7.5
| *
|  BIO
|  BIO
|----
|----
| 3122
| 3172
| Sawdust, cutter shavings etc.
| NEW!!Cereal crops and straw parts
| t
| t
| 109,6
| 109,6
|  
|  
| 8.0
| 13.5
| *
|  
|  BIO
|  BIO
|----
|----
| 3123
| 3179
| Wood residue chips
| NEW!! Other vegetable-based fuels
| t
| t
| 109,6
| 109,6
|  
|  
| 9.5
| 15.0
| *
|  
|  BIO
|  BIO
|----
|----
| 3128
| 318
| Unspecified industrial wood residue
| Animal-based fuels
| t
| t
| 109,6
| 109.6
|  
|  
| 7.5
| 30.0
| *
| *
|  BIO
|  BIO
|----
|----
| 3129
| 32
| Other industrial wood residue
| Other biofuels and mixed fuels
| t
|  
| 109,6
|  
| *
| 8.8
| *
|  BIO
|----
| 313
| Black liquor and other concentrated liquors
| tka
| 109,6
|  
|  
| 11.5
| *
|  BIO
|----
| 314
| Other by-products from wood processing
| TJ
| 109,6
|  
|  
|  
|  
|  
|  
|  BIO
|----
|----
| industry
| 321
|  
| Biogas
|  
|  
|  
|  
Line 1,003: Line 1,487:
|  
|  
|----
|----
| 315
| 3211
| Recovered wood
| Landfill gas
| t
| 1000 m3
| 109,6
| 56,1
|  
|  
| 12.0
| 17.0
| *
| *
|  BIO
|  BIO
|----
|----
| 316
| 3212
| Wood pellets and briquettes
| Biogas from wastewater treatment
| t
| 1000 m3
| 109,6
| 56.1
|  
|  
| 16.0
| 23.0
| *
|  BIO
|----
| 3213
| Industrial biogas
| 1000 m3
| 56.1
|  
|  
| 20.0
| *
|  BIO
|  BIO
|----
|----
| 317
| 3219
| Vegetable-based fuels
| Other biogas
| 1000 m3
| 56.1
|  
|  
|  
| 20.0
|  
| *
|  
|   BIO
|
|
|----
|----
| 3171
| 322
| NEW!!Reed canary grass
| Liquid biofuels
| t
| t
| 100.0
| 77.4
|
| 14.6
|  
|  
| 30..40
|
|  BIO
|  BIO
|----
|----
| 3172
| 323
| NEW!!Cereal crops and straw parts
| Mixed fuels (fossil and non-fossil)
| t
|  
| 109,6
|  
|  
|  
| 13.5
|  
|  
|  BIO
|----
| 3179
| NEW!! Other vegetable-based fuels
| t
| 109,6
|  
|  
| 15.0
|  
|  
|  BIO
|----
|----
| 318
| 3231
| Animal-based fuels
| Recovered fuels
| t
| t
| 109.6
| 31.8
|
| 20.0
|  
|  
| 30.0
1)
| *
BIO
|----
|----
| 32
| 3232
| Other biofuels and mixed fuels
| Demolition wood
|  
| t
|  
| 17.0
|  
|  
| 15.0
|  
|  
|  1)
|----
| 3233
| Impregnated wood (chemically treated)
| t
| 11.4
|  
|  
| 12.0
|  
|  
|  1)
|----
|----
| 321
| 3234
| Biogas
| NEW!! Deinking sludge
| t
| 60.0
|
| 4.0
|  
|  
|  1)
|----
| 3238
|  NEW!!Municipal waste (unsorted)
| t
| 40.0
|  
|  
| 10.0
|  
|  
|  1)
|----
| 3239
| Other mixed fuels
| t
| 110.0
|  
|  
| 10.0
|  
|  
|  
|  
|----
|----
| 3211
| 324
| Landfill gas
| Gasified waste (Product gas)
| 1000 m3
| 1000 m3
| 56,1
| ..
|  
|  
| 17.0
| ..
| *
|  
BIO
2)
|----
|----
| 3212
| 325
| Biogas from wastewater treatment
| NEW!!Biosludge
| 1000 m3
| t
| 56.1
| 109.6
|
| 2.5
|  
|  
| 23.0
| *
|  BIO
|  BIO
|----
|----
| 3213
| 4
| Industrial biogas
| Other energy sources
| 1000 m3
|  
| 56.1
|  
|  
| 20.0
| *
|  BIO
|----
| 3219
| Other biogas
| 1000 m3
| 56.1
|  
|  
| 20.0
| *
|  BIO
|----
| 322
| Liquid biofuels
| t
| 77.4
|  
|  
| 30..40
|
|  BIO
|----
| 323
| Mixed fuels (fossil and non-fossil)
|  
|  
|  
|  
|----
| 41
| Nuclear energy
|  
|  
|  
|  
|  
|  
|  
|  
|----
| 3231
| Recovered fuels
| t
| 31.8
|  
|  
| 20.0
|  
|  
|  1)
|----
|----
| 3232
| 411
| Demolition wood
| Nuclear energy
| t
| TJ
| 17.0
| –
|  
|  
|  
|  
| 15.0
|  
|  
|  1)
|----
|----
| 3233
| 49
| Impregnated wood (chemically treated)
| Others
| t
| 11.4
|  
|  
| 12.0
|  
|  
|  1)
|----
| 3234
|  NEW!! Deinking sludge
| t
| 60.0
|  
|  
| 4.0
|  
|  
|  1)
|----
| 3238
|  NEW!!Municipal waste (unsorted)
| t
| 40.0
|  
|  
| 10.0
|  
|  
|  1)
|----
|----
| 3239
| 491
| Other mixed fuels
| Other by-products and wastes used as fuels
| t
|  
| 110.0
|  
|  
| 10.0
|  
|  
|  
|  
|----
| 324
| Gasified waste (Product gas)
| 1000 m3
| ..
|  
|  
| ..
|  
|  
|  2)
|----
|----
| 325
| 4911
| NEW!!Biosludge
| Plastics waste
| t
| t
| 109.6
| 74.1
|
| 33.0
|  
|  
| 2.5
|  
|  
|  BIO
|----
|----
| 4
| 4912
| Other energy sources
| Rubber waste
| t
| 90.0
|  
|  
| 33.0
|  
|  
|  
|  
|----
| 4913
| Hazardous waste
| t
| 117.0
| *
| 10.0
| *
|  
|  
|----
| 4919
| Other waste
| t
| 75.0
|  
|  
| 15.0
| *
|  
|  
|----
|----
| 41
| 492
| Nuclear energy
| Exothermic heat from industry
|  
| TJ
|  
|
|  
|  
|  
|  
Line 1,228: Line 1,703:
|  
|  
|----
|----
| 411
| 493
| Nuclear energy
| Secondary heat from industry
| TJ
| TJ
| –
| –
Line 1,237: Line 1,712:
|  
|  
|----
|----
| 49
| 494
| Others
| Electricity
|  
| MWh
|  
|
|  
|  
|  
|  
Line 1,246: Line 1,721:
|  
|  
|----
|----
| 491
| 495
| Other by-products and wastes used as fuels
| Steam
|  
| MWh
|  
|
|  
|  
|  
|  
Line 1,255: Line 1,730:
|  
|  
|----
|----
| 4911
| 497
| Plastics waste
| NEW!!Sulphur
| t
| t
| 74.1
| 0.0
|  
|  
| 33.0
| 10.5
|  
|  
|  
|  
|----
|----
| 4912
| 498
| Rubber waste
| Hydrogen
| t
| 1000 m3
| 90.0
| 0.0
|  
|  
| 33.0
| 10.8
|  
|  
|  
|  
|----
|----
| 4913
| 499
| Hazardous waste
| Other non-specified energy sources
| t
| TJ
| 117.0
| ..
| *
|  
| 10.0
| *
|  
|  
|----
| 4919
| Other waste
| t
| 75.0
|  
|  
| 15.0
| *
|  
|  
|----
|----
| 492
|}
| Exothermic heat from industry
 
| TJ
NB
| –
 
|
BIO = biofuel, whose carbon dioxide emissions are not counted in the total emission amounts of Finland's greenhouse gases, nor are they taken into account in emissions trading.
|
 
|
1) CO<sub>2</sub> factor of mixed fuels is an estimate taking into account only the share of fossil carbon.
|
 
|----
2) Gasified waste (Product gas) is reported in the fuel categories of the source materials of gasification.
| 493
 
| Secondary heat from industry
Calorific values and emission coefficients describe the properties of fuel as fired,
| TJ
inclusive of moisture content (except for 313, where the measurement unit is tonnes of dry matter).
| –
Calorific value of natural gas has been specified in normal conditions (0 °C and 1.013 bar).
|
 
|  
Emission factors are updated when necessary.
|  
 
|  
(* Revised values.
 
 
 
Emission factors for district heating is calculated in [http://www.motiva.fi/en/ Motiva] CO<sub>2</sub> emission calculation introductions<ref>http://motiva.fi/files/209/Laskentaohje_CO2_kohde_040622.pdf</ref>.
For district heating joint production emission factor is 220 kg CO<sub>2</sub>/MWh. In this view other GHGs (CH<sub>4</sub> or N<sub>2</sub>O) are not taken account as CO<sub>2</sub>-ekv!
Emission factors by fuel based on [http://www.motiva.fi/en/ Motiva] knowledge is in table 2.
 
Table 12.
Emission factors of CO<sub>2</sub> by fuel<ref>http://motiva.fi/files/209/Laskentaohje_CO2_kohde_040622.pdf</ref>.
{| {{prettytable}}
| Fuels
| kg CO<sub>2</sub>/MWh
|----
|----
| 494
| Heavy oil
| Electricity
| 279
| MWh
| –
|
|
|
|  
|----
|----
| 495
| Light oil
| Steam
| 267
| MWh
| –
|
|
|
|  
|----
|----
| 497
| Gas
|  NEW!!Sulphur
| 202
| t
| 0.0
|
| 10.5
|
|  
|----
|----
| 498
| Fluid gas
| Hydrogen
| 227
| 1000 m3
|----
| 0.0
| Peat
|  
| 382
| 10.8
|----
|  
| Coal
|  
| 341
|----
| Coke
| 389
|----
|----
| 499
| Wood
| Other non-specified energy sources
| 0
| TJ
| ..
|
|
|
|  
|----
|----
|}
|}


NB


BIO = biofuel, whose carbon dioxide emissions are not counted in the total emission amounts of Finland's greenhouse gases, nor are they taken into account in emissions trading.
CO2 EF for electricity can be classified in two categories: purchase electricity and own production. EF for purchase electricity is the same as own electricity vendor has informed or average Finnish electricity procurement CO2 EF (= 200 kg CO2/MWh). EF for own electricity production can be used EF from table 2 (fuel based EFs). If electricity is produced in combined electricity, heating production EFs are calculated with “benefit division method”. Method is explained in Motiva introduction<ref>http://motiva.fi/files/209/Laskentaohje_CO2_kohde_040622.pdf</ref> (attachment 2).


1) CO<sub>2</sub> factor of mixed fuels is an estimate taking into account only the share of fossil carbon.


2) Gasified waste (Product gas) is reported in the fuel categories of the source materials of gasification.
Table 13.
 
Average emission factors measured with differed gas analyzator (kk) and FTIR analyzator <ref>http://www.uku.fi/fine/src/raportit/PUPOloppuraportti2007.pdf</ref>.
Calorific values and emission coefficients describe the properties of fuel as fired,
inclusive of moisture content (except for 313, where the measurement unit is tonnes of dry matter).
Calorific value of natural gas has been specified in normal conditions (0 °C and 1.013 bar).
 
Emission factors are updated when necessary.
 
(* Revised values.
 
 
 
Emission factors for district heating is calculated in [http://www.motiva.fi/en/ Motiva] CO<sub>2</sub> emission calculation introductions<ref>http://motiva.fi/files/209/Laskentaohje_CO2_kohde_040622.pdf</ref>.
For district heating joint production emission factor is 220 kg CO<sub>2</sub>/MWh. In this view other GHGs (CH<sub>4</sub> or N<sub>2</sub>O) are not taken account as CO<sub>2</sub>-ekv!
Emission factors by fuel based on [http://www.motiva.fi/en/ Motiva] knowledge is in table 2.
 
Table 12.
Emission factors of CO<sub>2</sub> by fuel<ref>http://motiva.fi/files/209/Laskentaohje_CO2_kohde_040622.pdf</ref>.
{| {{prettytable}}
{| {{prettytable}}
| Fuels
|
| kg CO<sub>2</sub>/MWh
| Ordinary combustion
|----
| Distribution (%)
| Heavy oil
| 279
|----
| Light oil
| 267
|----
| Gas
| 202
|----
| Fluid gas
| 227
|----
| Peat
| 382
|----
| Coal
| 341
|----
| Coke
| 389
|----
| Wood
| 0
|----
|}
 
 
CO2 EF for electricity can be classified in two categories: purchase electricity and own production. EF for purchase electricity is the same as own electricity vendor has informed or average Finnish electricity procurement CO2 EF (= 200 kg CO2/MWh). EF for own electricity production can be used EF from table 2 (fuel based EFs). If electricity is produced in combined electricity, heating production EFs are calculated with “benefit division method”. Method is explained in Motiva introduction<ref>http://motiva.fi/files/209/Laskentaohje_CO2_kohde_040622.pdf</ref> (attachment 2).
 
 
Table 13.
Average emission factors measured with differed gas analyzator (kk) and FTIR analyzator <ref>http://www.uku.fi/fine/src/raportit/PUPOloppuraportti2007.pdf</ref>.
{| {{prettytable}}
|
| Ordinary combustion
| Distribution (%)
| Bad combustion
| Bad combustion
| Distribution (%)
| Distribution (%)
Line 1,678: Line 2,081:
|}
|}


=== Calculations ===
|}


=== Dependencies ===
=== Dependencies ===


-Plant/kettle type
*Plant/kettle type
-Power output
*Power output
-Efficiency
*Efficiency


Data that have another unit than mg/MJ should be changed.
Data that have another unit than mg/MJ should be changed.


e.g. t/TJ -> mg/MJ
e.g. t/TJ -> mg/MJ
 
 
<rcode>
== See also ==
library(OpasnetUtils)
 
library(xtable)
* SMALL-SCALE PELLET BOILER EMISSIONS – CHARACTERIZATION AND COMPARISON TO OTHER COMBUSTION UNITS
 
HEIKKI LAMBERG. REPORT SERIES IN AEROSOL SCIENCE N:o 156 (2014). [http://www.atm.helsinki.fi/faar/reportseries/rs-156.pdf]
data <- tidy(op_baseGetData("opasnet_base", "Op_en2791"), objname = "emission.factor")
* USEPA emission factor information web site [http://cfpub.epa.gov/oarweb/index.cfm?action=fire.main]
 
*Tissari et al 2009 [http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V22-4TVR26G-1&_user=953170&_rdoc=1&_fmt=&_orig=search&_sort=d&_docanchor=&view=c&_acct=C000049246&_version=1&_urlVersion=0&_userid=953170&md5=0e3d0594c133bc8066aad60fc16ee88c]
emission.factor <- new("ovariable",
* PUPO loppuraportti [http://www.uku.fi/fine/src/raportit/PUPOloppuraportti2007.pdf]
name = "emission.factor",
* Heljo et al. 2005 Rakennusten energiankulutus ja CO2-ekv päästöt Suomessa [http://www.tut.fi/units/rak/rtt/tutkimus/ekorem/EKOREM_Loppuraportti_051214.pdf]
data = data)
*Motiva 2004. Yksittäisen kohteen CO2-päästöjen laskentaohjeistus sekä käytettävät CO2-päästökertoimet [http://motiva.fi/files/209/Laskentaohje_CO2_kohde_040622.pdf]
 
*Palosuo T. 09 [http://www.mm.helsinki.fi/mmtek/opiskelu/kurssit/y92/Taru_Palosuo_puuketjut_elinkaarianalyysi_230109.pdf]
print(xtable(emission.factor@data), type = 'html')
* [[:Category:Emission factors|Emission factors]]
 
** [[AP42: Compilation of Air Pollutant Emission Factors. Volume I: Stationary Point and Area Sources]]
objects.put(emission.factor)
** [[CEPMEIP Database - Emission Factors]]
cat("Ovariable initiated. Save the page key for further use.\n")
** [[Emission Factors Database]]
</rcode>
** [[Material Emission Database for 90 Target VOCS]]
 
** [[RAINS emission factors]]
Default run: QEq4AnzY04LXx3gX
** [[WebFIRE]]
 
* [https://www.nilu.no/airquis/models_emission.htm NILU emission models]
{{attack|# |How to use this default run?|--[[User:Sami Rissanen|Sami Rissanen]] 10:32, 24 January 2013 (EET)}}
 
 
{{attack|# |Links 7-10 (From Tissari to Motiva) say the page doesn't exist.|--[[User:Heta|Heta]] ([[User talk:Heta|talk]]) 15:45, 31 August 2015 (UTC)}}
 
{{Urgenche}}
 
 
== See also ==
== References ==
* USEPA emission factor information web site [http://cfpub.epa.gov/oarweb/index.cfm?action=fire.main]
 
*Tissari et al 2009 [http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V22-4TVR26G-1&_user=953170&_rdoc=1&_fmt=&_orig=search&_sort=d&_docanchor=&view=c&_acct=C000049246&_version=1&_urlVersion=0&_userid=953170&md5=0e3d0594c133bc8066aad60fc16ee88c]
 
* PUPO loppuraportti [http://www.uku.fi/fine/src/raportit/PUPOloppuraportti2007.pdf]
 
* Heljo et al. 2005 Rakennusten energiankulutus ja CO2-ekv päästöt Suomessa [http://www.tut.fi/units/rak/rtt/tutkimus/ekorem/EKOREM_Loppuraportti_051214.pdf]
 
*Motiva 2004. Yksittäisen kohteen CO2-päästöjen laskentaohjeistus sekä käytettävät CO2-päästökertoimet [http://motiva.fi/files/209/Laskentaohje_CO2_kohde_040622.pdf]
 
*Palosuo T. 09 [http://www.mm.helsinki.fi/mmtek/opiskelu/kurssit/y92/Taru_Palosuo_puuketjut_elinkaarianalyysi_230109.pdf]


{{Urgenche}}
== References ==
*[http://www.stat.fi/tup/khkinv/khkaasut_polttoaineluokitus.html]
*[http://www.stat.fi/tup/khkinv/khkaasut_polttoaineluokitus.html]


<references />
<references />


== Related files ==
</noinclude>

Latest revision as of 10:17, 6 December 2018


Question

What are the emission factors for burning processes and how to estimate emissions based on them? The focus is on the situation in Finland.

Answer

Example of the use of emission factors: CO2 and fine particle emissions in Helsinki. Scenarios are based on Helsinki energy decision 2015.

An example code for downloading and using the variable.

+ Show code

Rationale

HSY emission factors

This section describes the use of HSY emission factors used for CO2 emission estimates. This should be merged with the other data, but it is first described as such.

These emission factors are derived from the Helsinki Region Environmental Services (HSY) climate data [3] on 27th Nov 2018. Emission factors were initially calculated for every entry in the data file (4180 rows in total). Then, emission sectors were compared along timeline for each city separately. We noticed that several sectors shared practically the same emission factors with few differences, which are not plausible as real differences (Table Sector classification). So, we took a mean of the values to represent all sectors in the same EFclass group.

Then, we compared results from different cities. There were minor changes that may be due to some real differences in data, and also a some changes that looked like artefact. However, there were two sectors, namely district heating and fuels that clearly differed between cities in a plausible way. Therefore, we used city-specific emission factors for these two sectors and those of Helsinki for all other sectors (because Helsinki seemed to have the least amount of artefact in the data).

Sector classification(-)
ObsSectorSektoriEFclassPKluokkadummy
1metrometrotelectricitysähkö1
2tramsraitiovaunutelectricitysähkö1
3local trainslähijunatelectricitysähkö1
4consumer electricitykulutussähköelectricitysähkö1
5passenger shipsmatkustajalaivatshipslaivat1
6cargo shipsrahtilaivatshipslaivat1
7buseslinja-autotdiesel machinesdieselkoneet1
8vanspakettiautotdiesel machinesdieselkoneet1
9machinerytyökoneetdiesel machinesdieselkoneet1
10truckskuorma-autotdiesel machinesdieselkoneet1
11leasure boatshuviveneetboatsveneet1
12professional boatsammattiveneetboatsveneet1
13district heatingkaukolämpödistrict heatingkaukolämpö1
14oil heatingöljylämmitysoil heatingöljylämmitys1
15electric heatingsähkölämmityselectric heatingsähkölämmitys1
16geothermal heatingmaalämpögeothermal heatingmaalämpö1
17fuelspolttoaineetfuelspolttoaineet1
18processesprosessitprocessesprosessit1
19private carshenkilöautotprivate carshenkilöautot1
20motor cyclesmoottoripyörätmotor cyclesmoottoripyörät1
Sector hierarchy(-)
ObsClassSubclassLuokkaAlaluokkadummy
1heatingdistrict heatinglämmityskaukolämpö1
2heatingoil heatinglämmitysöljylämmitys1
3heatingelectric heatinglämmityssähkölämmitys1
4heatinggeothermal heatinglämmitysmaalämpö1
5electricityconsumer electricitysähkökulutussähkö1
6transportroad transportliikennetieliikenne1
7transportrail transportliikenneraideliikenne1
8transportshippingliikennelaivaliikenne1
9industry and machinerymachineryteollisuus ja työkoneettyökoneet1
10industry and machinaryfuelsteollisuus ja työkoneetpolttoaineet1
11industry and machineryprocessesteollisuus ja työkoneetprosessit1
12waste managementlandfilljätteiden käsittelykaatopaikka1
13waste managementbiowaste compostingjätteiden käsittelybiojätteen kompostointi1
14waste managementwaste water treatmentjätteiden käsittelyjäteveden käsittely1
15waste managementwaste water sludge compostingjätteiden käsittelyjätevesilietteen kompostointi1
16agriculturefieldsmaatalouspellot1
17agriculturefarm animalsmaatalouskotieläimet1
18road transportprivate carstieliikennehenkilöautot1
19road transportmotor cyclestieliikennemoottoripyörät1
20road transportvanstieliikennepakettiautot1
21road transporttruckstieliikennekuorma-autot1
22road transportbusestieliikennelinja-autot1
23rail transportlocal trainsraideliikennelähijunat1
24rail transportmetroraideliikennemetrot1
25rail transporttramsraideliikenneraitiovaunut1
26shippingleasure boatslaivaliikennehuviveneet1
27shippingprofessional boatslaivaliikenneammattiveneet1
28shippingpassenger shipslaivaliikennematkustajalaivat1
29shippingcargo shipslaivaliikennerahtilaivat1

+ Show code

+ Show code

Emission factors in Helsinki(ton/GWh)
ObsSector201520302035
1Consumer electricity121.570.645
2Electric heating234.2138.588.3
3District heating189.7128.849.1
4Natural gas198198198
5Light fuel oil261261261
6Coal341341341

The data above comes from Gaia report [4].

Inputs and calculations

Variables needed for calculating emissions.
Dependencies Measure Indices Missing data
fuelUse (from Energy balance or other relevant source) Amount of fuel used per timepoint. Required indices: Fuel. Typical indices: Plant
emissionsLocations (case-specific knowledge from e.g. Helsinki energy production) Tells how where emissions occur and from how high a stack. Required indices: - . Typical indices: Plant
emissionFactors (generic information, but may be cultural differences. E.g. Emission factors for burning processes ## emissions per unit of energy produced (g / J or similar unit) Required indices: Pollutant, Fuel. Typical indices: Burner.

+ Show code

Emission factors for heating

Emission factors of energy production(mg /MJ)
ObsBurnerFuelPM2.5CO2directCO2tradeCO2eqDescription
1HouseholdWood140 (65.8-263)7420008333Other stoves and ovens. Karvosenoja et al. 2008
2HouseholdBiofuel140 (65.8-263)7420008333Other stoves and ovens. Karvosenoja et al. 2008
3HouseholdLight oil0-1074200-872227420087222Light oil <5 MW Emission factors for burning processes. Light oil 267 kg /MWh
4HouseholdOil0-1074200-872227420087222Light oil <5 MW Emission factors for burning processes. Light oil 267 kg /MWh
5HouseholdOther sources0-10742007420074200Same as oil.
6HouseholdCoal0-1074200-872227420087222
7HouseholdGeothermal0-1074200-872227420087222
8HouseholdGas0-3556505565055650For PM2.5: one third of that of oil. For CO2: 3/4 of that of oil.
9HouseholdFuel oil0-1074200-872227420087222Light oil <5 MW Emission factors for burning processes. Light oil 267 kg /MWh
10DomesticWood140 (65.8-263)7420008333Other stoves and ovens. Karvosenoja et al. 2008 Just repeat the previous rows to match different wording of burners.
11DomesticBiofuel140 (65.8-263)7420008333Other stoves and ovens. Karvosenoja et al. 2008
12DomesticLight oil0-1074200-872227420087222Light oil <5 MW Emission factors for burning processes. Light oil 267 kg /MWh
13DomesticOil0-1074200-872227420087222Light oil <5 MW Emission factors for burning processes. Light oil 267 kg /MWh
14DomesticOther sources0-10742007420074200Same as oil.
15DomesticCoal0-1074200-872227420087222
16DomesticGeothermal0-1074200-872227420087222
17DomesticGas0-3556505565055650For PM2.5: one third of that of oil. For CO2: 3/4 of that of oil.
18DomesticFuel oil0-1074200-872227420087222Light oil <5 MW Emission factors for burning processes. Light oil 267 kg /MWh
19Diesel engineFuel oil0-1074200-872227420087222Light oil <5 MW Emission factors for burning processes. Light oil 267 kg /MWh
20Diesel engineLight oil0-1074200-872227420087222
21Diesel engineBiofuel0-1074200-872227420087222
22Large fluidized bedGas0-3556505565055650For PM2.5: one third of that of oil. For CO2: 3/4 of that of oil.
23Large fluidized bedCoal2-20106000106000106000Same as peat.
24Large fluidized bedWood2-2074200074200Leijupoltto 100-300 MW Emission factors for burning processes. Karvosenoja et al., 2008
25Large fluidized bedBiofuel2-2074200074200Leijupoltto 100-300 MW Emission factors for burning processes. Karvosenoja et al., 2008
26Large fluidized bedWaste2-20742000-50000CO2trade same as wood. CO2eq is guesswork but it is negative because without burning it would produce methane in landfill
27Large fluidized bedPeat2-20106000106000107500Leijupoltto 100-300 MW Emission factors for burning processes. Peat 382 kg /MWh
28Large fluidized bedHeavy oil8-2291111-10600010600091111Leijupoltto 100-300 MW Emission factors for burning processes. Peat 382 kg /MWh
29Large fluidized bedFuel oil8-2291111-10600010600091111Leijupoltto 100-300 MW Emission factors for burning processes. Peat 382 kg /MWh
30GridElectricity1-10530002120005300050 % of large-scale burning (because of nuclear and hydro). Heavy oil 279 kg /MWh. Officially, electricity is not CHP but requires a double amount of coal to produce it.
31NoneElectricity_taxed1-10530002120005300050 % of large-scale burning (because of nuclear and hydro). Heavy oil 279 kg /MWh. Officially, electricity is not CHP but requires a double amount of coal to produce it. These emissions are assumed when power plants buy electricity from the grid.
32NoneElectricity0000We might want to keep these locations in the model, but we assume that emissions are zero.
33NoneHeat0000We might want to keep these locations in the model, but we assume that emissions are zero.
34NoneCooling0000We might want to keep these locations in the model, but we assume that emissions are zero.
  • Large fluidized bed (Peat) CO2-eq value from Väisänen, Sanni: Greenhouse gas emissions from peat and biomass-derived fuels, electricity and heat — Estimation of various production chains by using LCA methodology[1]
  • Other CO2-eq values from EKOREM: Sähkölämmitys ja lämpöpumput sähkönkäyttäjinä ja päästöjen aiheuttajina Suomessa.
  • Classes of climate emissions:
    CO2direct
    Direct CO2 emissions from the stack
    CO2trade
    CO2 emissions as they are defined in the emission trade. Non-trade sectors have emission 0.
    CO2eq
    CO2 emissions as equivalents (i.e. includes methane, N2O and other climate emissions based on life cycle impacts.

In Finland there are about 700 kettles that have under 5MW fuel power. Same amount is between 5 to 50 MW kettles and over 50 MW kettles there are 200 in Finland. One heating power plant can have several kettles. Many 5-50 MW power plants have also less than 5 MW a kettle. [2]

See further discussions about emission factors of wood burning and other topics on the discussion page.D↷

+ Show code


Other data

This is other important data that wasn't in the end used in the model's calculations. These include for example emission factors for wood heating, emission types for different kinds of plants, kettles and fuels, and energy and sulphur contents of different fuels.

Dependencies

  • Plant/kettle type
  • Power output
  • Efficiency

Data that have another unit than mg/MJ should be changed.

e.g. t/TJ -> mg/MJ

See also

  • SMALL-SCALE PELLET BOILER EMISSIONS – CHARACTERIZATION AND COMPARISON TO OTHER COMBUSTION UNITS

HEIKKI LAMBERG. REPORT SERIES IN AEROSOL SCIENCE N:o 156 (2014). [7]

⇤--#: . Links 7-10 (From Tissari to Motiva) say the page doesn't exist. --Heta (talk) 15:45, 31 August 2015 (UTC) (type: truth; paradigms: science: attack)

Urgenche research project 2011 - 2014: city-level climate change mitigation
Urgenche pages

Urgenche main page · Category:Urgenche · Urgenche project page (password-protected)

Relevant data
Building stock data in Urgenche‎ · Building regulations in Finland · Concentration-response to PM2.5 · Emission factors for burning processes · ERF of indoor dampness on respiratory health effects · ERF of several environmental pollutions · General criteria for land use · Indoor environment quality (IEQ) factors · Intake fractions of PM · Land use in Urgenche · Land use and boundary in Urgenche · Energy use of buildings

Relevant methods
Building model · Energy balance · Health impact assessment · Opasnet map · Help:Drawing graphs · OpasnetUtils‎ · Recommended R functions‎ · Using summary tables‎

City Kuopio
Climate change policies and health in Kuopio (assessment) · Climate change policies in Kuopio (plausible city-level climate policies) · Health impacts of energy consumption in Kuopio · Building stock in Kuopio · Cost curves for energy (prioritization of options) · Energy balance in Kuopio (energy data) · Energy consumption and GHG emissions in Kuopio by sector · Energy consumption classes (categorisation) · Energy consumption of heating of buildings in Kuopio · Energy transformations (energy production and use processes) · Fuels used by Haapaniemi energy plant · Greenhouse gas emissions in Kuopio · Haapaniemi energy plant in Kuopio · Land use in Kuopio · Building data availability in Kuopio · Password-protected pages: File:Heat use in Kuopio.csv · Kuopio housing

City Basel
Buildings in Basel (password-protected)

Energy balances
Energy balance in Basel · Energy balance in Kuopio · Energy balance in Stuttgart · Energy balance in Suzhou


References