Uncertainties in the Finnish 2001 Greenhouse Gas Emission Inventory

Suvi Monni, Sanna Syri

Research output: Book/ReportReportProfessional

Abstract

This study is a part of Finland's Greenhouse Gas Emission Inventory work to the United Nations Framework Convention on Climate Change (UNFCCC). Reliable uncertainty estimates are required by the UNFCCC, and they also function as a tool for increasing the quality of national emission inventories. Uncertainty in emission estimates can arise from inaccuracy in emission monitoring, lack of knowledge involving the emission factor and activity data estimates, or, for example, biased expert judgement. The quality of emission inventories for the most important greenhouse gas, CO2, depends mainly on the accuracy of fuel use statistics. Some other sources of CO2, and the other greenhouse gases of the Kyoto Protocol, CH4, N2O, HFCs, PFCs and SF6, are usually rather poorly known. This is the first time Tier 2 uncertainty assessment is used for the Finnish Greenhouse Gas Emission Inventory. For the purpose of this report it was performed concerning the years 1990 and 2001. This report presents the basis of each input parameter uncertainty estimate which were mainly based on available measurement data, domestic and international literature, expert judgement and the recommendations of the Intergovernmental Panel on Climate Change (IPCC). Uncertainty estimates of different sources were combined using Monte Carlo simulation, which allows the use of asymmetrical distributions and flexible handling of correlations. The resulting total uncertainty in the 2001 emissions was -5...+6%. The asymmetry results from highly uncertain emission sources that have asymmetrical distributions. The trend uncertainty (change between 1990 and 2001) was assessed to ±5%-points. The most significant sources contributing to the total uncertainty were identified with sensitivity analysis and key source identification. The most important emission sources affecting the total uncertainty are CO2 emissions from arable peatlands and peat production areas, and N2O emissions from agricultural soils.
Original languageEnglish
Place of PublicationEspoo
PublisherVTT Technical Research Centre of Finland
Number of pages132
ISBN (Electronic)951-38-6174-0
ISBN (Print)951-38-6173-2
Publication statusPublished - 2003
MoE publication typeNot Eligible

Publication series

NameVTT Tiedotteita - Research Notes
PublisherVTT
No.2209
ISSN (Print)1235-0605
ISSN (Electronic)1455-0865

Fingerprint

emission inventory
greenhouse gas
United Nations Framework Convention on Climate Change
hydrofluorocarbon
Intergovernmental Panel on Climate Change
Kyoto Protocol
peatland
agricultural soil
sensitivity analysis
peat
asymmetry
monitoring
simulation
distribution
emission source

Keywords

  • greenhouse gases
  • emissions
  • Finland
  • uncertainly
  • Monte Carlo simulation
  • Kyoto protocol
  • UNFCCC
  • energy production
  • manufacturing industry
  • fuels

Cite this

Monni, S., & Syri, S. (2003). Uncertainties in the Finnish 2001 Greenhouse Gas Emission Inventory. Espoo: VTT Technical Research Centre of Finland. VTT Tiedotteita - Meddelanden - Research Notes, No. 2209
Monni, Suvi ; Syri, Sanna. / Uncertainties in the Finnish 2001 Greenhouse Gas Emission Inventory. Espoo : VTT Technical Research Centre of Finland, 2003. 132 p. (VTT Tiedotteita - Meddelanden - Research Notes; No. 2209).
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Monni, S & Syri, S 2003, Uncertainties in the Finnish 2001 Greenhouse Gas Emission Inventory. VTT Tiedotteita - Meddelanden - Research Notes, no. 2209, VTT Technical Research Centre of Finland, Espoo.

Uncertainties in the Finnish 2001 Greenhouse Gas Emission Inventory. / Monni, Suvi; Syri, Sanna.

Espoo : VTT Technical Research Centre of Finland, 2003. 132 p. (VTT Tiedotteita - Meddelanden - Research Notes; No. 2209).

Research output: Book/ReportReportProfessional

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N2 - This study is a part of Finland's Greenhouse Gas Emission Inventory work to the United Nations Framework Convention on Climate Change (UNFCCC). Reliable uncertainty estimates are required by the UNFCCC, and they also function as a tool for increasing the quality of national emission inventories. Uncertainty in emission estimates can arise from inaccuracy in emission monitoring, lack of knowledge involving the emission factor and activity data estimates, or, for example, biased expert judgement. The quality of emission inventories for the most important greenhouse gas, CO2, depends mainly on the accuracy of fuel use statistics. Some other sources of CO2, and the other greenhouse gases of the Kyoto Protocol, CH4, N2O, HFCs, PFCs and SF6, are usually rather poorly known. This is the first time Tier 2 uncertainty assessment is used for the Finnish Greenhouse Gas Emission Inventory. For the purpose of this report it was performed concerning the years 1990 and 2001. This report presents the basis of each input parameter uncertainty estimate which were mainly based on available measurement data, domestic and international literature, expert judgement and the recommendations of the Intergovernmental Panel on Climate Change (IPCC). Uncertainty estimates of different sources were combined using Monte Carlo simulation, which allows the use of asymmetrical distributions and flexible handling of correlations. The resulting total uncertainty in the 2001 emissions was -5...+6%. The asymmetry results from highly uncertain emission sources that have asymmetrical distributions. The trend uncertainty (change between 1990 and 2001) was assessed to ±5%-points. The most significant sources contributing to the total uncertainty were identified with sensitivity analysis and key source identification. The most important emission sources affecting the total uncertainty are CO2 emissions from arable peatlands and peat production areas, and N2O emissions from agricultural soils.

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KW - fuels

M3 - Report

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T3 - VTT Tiedotteita - Research Notes

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ER -

Monni S, Syri S. Uncertainties in the Finnish 2001 Greenhouse Gas Emission Inventory. Espoo: VTT Technical Research Centre of Finland, 2003. 132 p. (VTT Tiedotteita - Meddelanden - Research Notes; No. 2209).