Emission Intensity - Estimating Emissions

Estimating Emissions

Emission factors assume a linear relation between the intensity of the activity and the emission resulting from this activity:

Emissionpollutant = Activity * Emission Factorpollutant

Intensities are also used in projecting possible future scenarios such as those used in the IPCC assessments, along with projected future changes in population, economic activity and energy technologies. The interrelations of these variables is treated under the so-called Kaya identity.

The level of uncertainty of the resulting estimates depends significantly on the source category and the pollutant. Some examples:

  • Carbon dioxide (CO2) emissions from the combustion of fuel can be estimated with a high degree of certainty regardless of how the fuel is used as these emissions depend almost exclusively on the carbon content of the fuel, which is generally known with a high degree of precision. The same is true for sulphur dioxide (SO2), since also sulphur contents of fuels are generally well known. Both carbon and sulphur are almost completey oxidized during combustion and all carbon and sulphur atoms in the fuel will be present in the flue gases as CO2 and SO2 respectively.
  • In contrast, the levels of other air pollutants and non-CO2 greenhouse gas emissions from combustion depend on the precise technology applied when fuel is combusted. These emissions are basically caused by either incomplete combustion of a small fraction of the fuel (carbon monoxide, methane, non-methane volatile organic compounds) or by complicated chemical and physical processes during the combustion and in the smoke stack or tailpipe. Examples of these are particulates, NOx, a mixture of nitric oxide, NO, and nitrogen dioxide, NO2).
  • Nitrous oxide (N2O) emissions from agricultural soils are highly uncertain because they depend very much on both the exact conditions of the soil, the application of fertilizers and meteorological conditions.
Emission factors of common fuels
Fuel/
Resource
Thermal
g(CO2-eq)/MJth
Energy Intensity (min & max estimate)
W·hth/W·he
Electric (min & max estimate)
g(CO2-eq)/kW·he
Coal 7001925100000000000B:91.50–91.72
Br:94.33
88
7000299000000000000B:2.62–2.85
Br:3.46
3.01
7002994000000000000B:863–941
Br:1,175
955
Oil 700173000000000000073 70003400000000000003.40 7002893000000000000893
Natural gas 7001683000000000000cc:68.20
oc:68.40
51
7000270000000000000cc:2.35 (2.20 – 2.57)
oc:3.05 (2.81 – 3.46)
7002664000000000000cc:577 (491 – 655)
oc:751 (627 – 891)
599
Geothermal
Power
70003000000000000003~ 7001400000000000000TL0–1
TH91–122
Uranium
Nuclear power
6999190000000000000WL0.18 (0.16~0.40)
WH0.20 (0.18~0.35)
7001625000000000000WL60 (10~130)
WH65 (10~120)
Hydroelectricity 69984600000000000000.046 (0.020 – 0.137) 700115000000000000015 (6.5 – 44)
Conc. Solar Pwr 700140000000000000040±15#
Photovoltaics 69993300000000000000.33 (0.16 – 0.67) 7002106000000000000106 (53 – 217)
Wind power 69986600000000000000.066 (0.041 – 0.12) 700121000000000000021 (13 – 40)

Note: 3.6 MJ = megajoule(s) == 1 kW·h = kilowatt-hour(s), thus 1 g/MJ = 3.6 g/kW·h.
Legend: B = Black coal (supercritical)–(new subcritical), Br = Brown coal (new subcritical), cc = combined cycle, oc = open cycle, TL = low-temperature/closed-circuit (geothermal doublet), TH = high-temperature/open-circuit, WL = Light Water Reactors, WH = Heavy Water Reactors, #Educated estimate.

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