Emission intensity explained

See also: Life-cycle greenhouse gas emissions of energy sources.

An emission intensity (also carbon intensity or C.I.) is the emission rate of a given pollutant relative to the intensity of a specific activity, or an industrial production process; for example grams of carbon dioxide released per megajoule of energy produced, or the ratio of greenhouse gas emissions produced to gross domestic product (GDP). Emission intensities are used to derive estimates of air pollutant or greenhouse gas emissions based on the amount of fuel combusted, the number of animals in animal husbandry, on industrial production levels, distances traveled or similar activity data. Emission intensities may also be used to compare the environmental impact of different fuels or activities. In some case the related terms emission factor and carbon intensity are used interchangeably. The jargon used can be different, for different fields/industrial sectors; normally the term "carbon" excludes other pollutants, such as particulate emissions. One commonly used figure is carbon intensity per kilowatt-hour (CIPK), which is used to compare emissions from different sources of electrical power.

Methodologies

Different methodologies can be used to assess the carbon intensity of a process. Among the most used methodologies there are:

Different calculation methods can lead to different results. The results can largely vary also for different geographic regions and timeframes (see, in example, how C.I. of electricity varies, for different European countries, and how varied in a few years: from 2009 to 2013 the C.I. of electricity in the European Union fell on average by 20%,[3] So while comparing different values of Carbon Intensity it is important to correctly consider all the boundary conditions (or initial hypotheses) considered for the calculations. For example, Chinese oil fields emit between 1.5 and more than 40 g of CO2e per MJ with about 90% of all fields emitting 1.5–13.5 g CO2e.[4] Such highly skewed carbon intensity patterns necessitate disaggregation of seemingly homogeneous emission activities and proper consideration of many factors for understanding.[5]

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:

Electric generation

See main article: Life-cycle greenhouse gas emissions of energy sources. A literature review of numerous total life cycle energy sources emissions per unit of electricity generated, conducted by the Intergovernmental Panel on Climate Change in 2011, found that the emission value, that fell within the 50th percentile of all total life cycle emissions studies were as follows.[6]

Lifecycle greenhouse gas emissions by electricity source
Technology Description 50th percentile
(g -eq/kWhe)
reservoir 4
12
various generation II reactor types 16
various 230
22
45
46
various combined cycle turbines without scrubbing 469
various generator types without scrubbing 1001
Emission factors of common fuels! Fuel/
Resource! Thermal
g(CO2e)/MJth! Energy Intensity (min & max estimate)
W·hth/W·he! Electric (min & max estimate)
g(CO2)/kW·he
wood[7]
Peat[8]
CoalB:91.50–91.72
Br:94.33
88
B:2.62–2.85[9]
Br:3.46
3.01
B:863–941
Br:1,175
955[10]
Oil
Natural gascc:68.20
oc:68.40
51
cc:2.35 (2.20 – 2.57)
oc:3.05 (2.81 – 3.46)
cc:577 (491–655)
oc:751 (627–891)
599
Geothermal
Power
~TL0–1
TH91–122
Uranium
Nuclear power
WL0.18 (0.16~0.40)
WH0.20 (0.18~0.35)
WL60 (10~130)
WH65 (10~120)
Hydroelectricity (0.020 – 0.137) (6.5 – 44)
Conc. Solar Pwr±15#
Photovoltaics (0.16 – 0.67) (53–217)
Wind power (0.041 – 0.12) (13–40)
Note: 3.6 MJ = megajoule(s)

1 kW·h = kilowatt-hour(s), thus 1 g/MJ = 3.6 g/kW·h.

Legend:,,,,,,,, .

Carbon intensity of regions

See also: List of countries by carbon intensity of GDP.

The following tables show carbon intensity of GDP in market exchange rates (MER) and purchasing power parities (PPP). Units are metric tons of carbon dioxide per thousand year 2005 US dollars. Data are taken from the US Energy Information Administration.[11] Annual data between 1980 and 2009 are averaged over three decades: 1980–89, 1990–99, and 2000–09.
Carbon intensity of GDP, measured in MER
1980–89 1990–99 2000–09
Africa1.131491.207021.03995
Asia & Oceania0.862560.830150.91721
Central & South America0.558400.572780.56015
EurasiaNA3.317862.36849
Europe0.368400.372450.30975
Middle East0.987791.214751.22310
North America0.693810.586810.48160
World0.621700.661200.60725
Carbon intensity of GDP, measured in PPP
1980–89 1990–99 2000–09
Africa0.488440.502150.43067
Asia & Oceania0.661870.592490.57356
Central & South America0.300950.307400.30185
EurasiaNA1.431611.02797
Europe0.404130.388970.32077
Middle East0.516410.656900.65723
North America0.667430.566340.46509
World0.544950.548680.48058

In 2009 CO2 intensity of GDP in the OECD countries reduced by 2.9% and amounted to 0.33 kCO2/$05p in the OECD countries.[12] ("$05p" = 2005 US dollars, using purchasing power parities). The USA posted a higher ratio of 0.41 kCO2/$05p while Europe showed the largest drop in CO2 intensity compared to the previous year (−3.7%). CO2 intensity continued to be roughly higher in non-OECD countries. Despite a slight improvement, China continued to post a high CO2 intensity (0.81 kCO2/$05p). CO2 intensity in Asia rose by 2% during 2009 since energy consumption continued to develop at a strong pace. Important ratios were also observed in countries in CIS and the Middle East.

Carbon intensity in Europe

Total CO2 emissions from energy use were 5% below their 1990 level in 2007.[13] Over the period 1990–2007, CO2 emissions from energy use have decreased on average by 0.3%/year although the economic activity (GDP) increased by 2.3%/year. After dropping until 1994 (−1.6%/year), the CO2 emissions have increased steadily (0.4%/year on average) until 2003 and decreased slowly again since (on average by 0.6%/year). Total CO2 emissions per capita decreased from 8.7 t in 1990 to 7.8 t in 2007, that is to say a decrease by 10%.Almost 40% of the reduction in CO2 intensity is due to increased use of energy carriers with lower emission factors.Total CO2 emissions per unit of GDP, the “CO2 intensity”, decreased more rapidly than energy intensity: by 2.3%/year and 1.4%/year, respectively, on average between 1990 and 2007.[14]

However, while the reports from 2007 suggest that the CO2 emissions are going down recent studies find that the global emissions are rapidly escalating. According to the Climate Change 2022 Mitigation of Climate Change report, conducted by the IPCC, it states that it 2019 the world emissions output was 59 gigatonnes.[15] This shows that global emissions has grown rapidly, increasing by about 2.1% each year compared from the previous decade.[15]

The Commodity Exchange Bratislava (CEB) has calculated carbon intensity for Voluntary Emissions Reduction projects carbon intensity in 2012 to be 0.343 tn/MWh.[16]

According to data from the European Commission, in order to achieve the EU goal of decreasing greenhouse gas emissions by at least 55% by 2030 compared to 1990, EU-based energy investment has to double from the previous decade to more than €400 billion annually this decade. This includes the roughly €300 billion in yearly investment required for energy efficiency and the roughly €120 billion required for power networks and renewable energy facilities.[17] [18]

Emission factors for greenhouse gas inventory reporting

One of the most important uses of emission factors is for the reporting of national greenhouse gas inventories under the United Nations Framework Convention on Climate Change (UNFCCC). The so-called Annex I Parties to the UNFCCC have to annually report their national total emissions of greenhouse gases in a formalized reporting format, defining the source categories and fuels that must be included.

The UNFCCC has accepted the Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories,[19] developed and published by the Intergovernmental Panel on Climate Change (IPCC) as the emission estimation methods that must be used by the parties to the convention to ensure transparency, completeness, consistency, comparability and accuracy of the national greenhouse gas inventories.[20] These IPCC Guidelines are the primary source for default emission factors. Recently IPCC has published the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. These and many more greenhouse gas emission factors can be found on IPCC's Emission Factor Database.[21] Commercially applicable organisational greenhouse gas emission factors can be found on the search engine, EmissionFactors.com.[22]

Particularly for non-CO2e emissions, there is often a high degree of uncertainty associated with these emission factors when applied to individual countries. In general, the use of country-specific emission factors would provide more accurate estimates of emissions than the use of the default emission factors. According to the IPCC, if an activity is a major source of emissions for a country ('key source'), it is 'good practice' to develop a country-specific emission factor for that activity.

Emission factors for air pollutant inventory reporting

The United Nations Economic Commission for Europe and the EU National Emission Ceilings Directive (2016) require countries to produce annual National Air Pollution Emission Inventories under the provisions of the Convention on Long-Range Transboundary Air Pollution (CLRTAP).

The European Monitoring and Evaluation Programme (EMEP) Task Force of the European Environment Agency has developed methods to estimate emissions and the associated emission factors for air pollutants, which have been published in the EMEP/CORINAIR Emission Inventory Guidebook[23] [24] on Emission Inventories and Projections TFEIP.[25]

Intensity targets

Coal, being mostly carbon, emits a lot of when burnt: it has a high emission intensity. Natural gas, being methane, has 4 hydrogen atoms to burn for each one of carbon and thus has medium emission intensity.

Sources of emission factors

Greenhouse gases

Air pollutants

Well-to-refinery carbon intensity (CI) of all major active oil fields globally

In an August 31, 2018 article by Masnadi et al. which was published by Science, the authors used "open-source oil-sector CI modeling tools" to "model well-to-refinery carbon intensity (CI) of all major active oil fields globally—and to identify major drivers of these emissions."[26] They compared 90 countries with the highest crude oil footprint.[26] [27] The Science study, which was conducted by Stanford University found that Canadian crude oil is the "fourth-most greenhouse gas (GHG) intensive in the world" behind Algeria, Venezuela and Cameroon.[28] [29]

See also

External links

Notes and References

  1. Moro A. Helmers E. A new hybrid method for reducing the gap between WTW and LCA in the carbon footprint assessment of electric vehicles. Int J Life Cycle Assess . 22. 4–14. 10.1007/s11367-015-0954-z. 2017. free.
  2. This method is used by the International Energy Agency in the annual report: CO2 emissions from fuel combustion .
  3. Moro A. Lonza L. Electricity carbon intensity in European Member States: Impacts on GHG emissions of electric vehicles. Transportation Research Part D: Transport and Environment. 64. 5–14. 10.1016/j.trd.2017.07.012. 30740029. 2018. 6358150.
  4. Masnadi. M.. Well-to-refinery emissions and net-energy analysis of China's crude-oil supply. Nature Energy. 2018. 3. 3. 220–226. 10.1038/s41560-018-0090-7. 2018NatEn...3..220M. 134193903.
  5. Höök. M. Mapping Chinese supply. Nature Energy. 2018. 3. 3. 166–167. 10.1038/s41560-018-0103-6. 2018NatEn...3..166H. 169334867.
  6. Moomaw, W., P. Burgherr, G. Heath, M. Lenzen, J. Nyboer, A. Verbruggen, 2011: Annex II: Methodology. In IPCC: Special Report on Renewable Energy Sources and Climate Change Mitigation (ref. page 10)
  7. http://www.seai.ie/Archive1/Files_Misc/IEABioenergyAgreementTask38CaseStudy.pdf Hillebrand, K. 1993. The Greenhouse Effects of Peat Production and Use Compared with Coal, Natural Gas and Wood. Technical Research Centre of Finland
  8. http://www.imcg.net/imcgnl/nl0702/kap05.htm The CO2 emission factor of peat fuel 106 g CO2/MJ
  9. Bilek . Marcela . Hardy . Clarence . Lenzen . Manfred . Dey . Christopher . Life-cycle energy balance and greenhouse gas emissions of nuclear energy: A review . Energy Conversion & Management . August 2008 . 49 . 8 . 2178–2199 . dead . https://web.archive.org/web/20091025164626/http://www.isa.org.usyd.edu.au/publications/documents/ISA_Nuclear_Report.pdf . 2009-10-25 . 10.1016/j.enconman.2008.01.033 .
  10. Ingvar B. . Fridleifsson . Ruggero . Bertani . Ernst . Huenges . John W. . Lund . Arni . Ragnarsson . Ladislaus . Rybach . 2008-02-11 . The possible role and contribution of geothermal energy to the mitigation of climate change . IPCC Scoping Meeting on Renewable Energy Sources . O. Hohmeyer and T. Trittin . Luebeck, Germany . 59–80 . https://web.archive.org/web/20110722030340/http://iga.igg.cnr.it/documenti/IGA/Fridleifsson_et_al_IPCC_Geothermal_paper_2008.pdf . 2011-07-22 . 2009-04-06 . dead .
  11. . Archived page. Public-domain source: 'U.S. Government publications are in the public domain and are not subject to copyright protection. You may use and/or distribute any of our data, files, databases, reports, graphs, charts, and other information products that are on our website or that you receive through our email distribution service. However, if you use or reproduce any of our information products, you should use an acknowledgment, which includes the publication date, such as: "Source: U.S. Energy Information Administration (Oct 2008)."' http://www.eia.gov/about/copyrights_reuse.cfm and archived page.
  12. Web site: CO2 intensity – Map World CO2 Intensity by region – Enerdata. yearbook.enerdata.net.
  13. Web site: Energy Efficiency Trends & Policies – ODYSSEE-MURE. www.odyssee-indicators.org.
  14. This section deals with CO2 emissions from energy combustion published in official inventories from the European Environment Agency. The indicators are not expressed under normal climate conditions (i. e. with climate corrections) to comply with the official definition of CO2 inventories. CO2 emissions of final consumers include the emissions of auto producers.
  15. News: Dickie . Gloria . Gloria Dickie . 2022-04-04 . Factbox: Key takeaways from the IPCC report on climate change mitigation . en . Reuters . 2022-04-05.
  16. http://www.kbb.sk/files/calculation-of-cabon-intensity-2012.pdf Calculation of carbon intensity in 2012
  17. Bank . European Investment . 2023-02-02 . Energy Overview 2023 . EN.
  18. Web site: 2030 Climate Target Plan . 2023-03-09 . climate.ec.europa.eu . en.
  19. Web site: Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories . IPCC . Task Force on National Greenhouse Gas Inventories . 1996 . 19 August 2012.
  20. Web site: FCCC/SBSTA/2004/8 . 2018-08-20.
  21. Web site: Emission Factor Database – Main Page . IPCC . 2012 . 19 August 2012.
  22. Web site: Emission Factors . emissionfactors.com . 2012 . 19 August 2012.
  23. https://www.eea.europa.eu/themes/air/emep-eea-air-pollutant-emission-inventory-guidebook EMEP/CORINAIR Emission Inventory Guidebook
  24. Web site: EMEP Home. www.emep.int.
  25. https://web.archive.org/web/20080315073635/http://tfeip-secretariat.org/unece.htm TFEIP
  26. 10.1126/science.aar6859. 0036-8075. 361. 6405. 851–853. Masnadi. Mohammad S.. El-Houjeiri. Hassan M.. Schunack. Dominik. Li. Yunpo. Englander. Jacob G.. Badahdah. Alhassan. Monfort. Jean-Christophe. Anderson. James E.. Wallington. Timothy J.. Bergerson. Joule A.. Gordon. Deborah. Koomey. Jonathan. Przesmitzki. Steven. Azevedo. Inês L.. Bi. Xiaotao T.. Duffy. James E.. Heath. Garvin A.. Keoleian. Gregory A.. McGlade. Christophe. Meehan. D. Nathan. Yeh. Sonia. You. Fengqi. Wang. Michael. Brandt. Adam R.. Global carbon intensity of crude oil production. Science. August 31, 2018. 30166477. 2018Sci...361..851M. 1485127. 52131292.
  27. Web site: AB barrels are not below the global average. Twitter. October 23, 2019 . September 30, 2019 .
  28. News: MIL-OSI New Zealand: How (and where) Greenpeace is campaigning for a world beyond oil . Foreign Affairs via Multimedia Investments Ltd (MIL) Open Source Intelligence (OSI) . October 23, 2019. October 10, 2019 .
  29. Maclean's . Scrubbing the oil sands' record . Jason . Markusoff . October 16, 2019 . October 23, 2019 .