Publications
456789107 of 28
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Use of ETS data in the GHG inventory
SCB.
Responsible organisation
2008 (English)Report (Other academic)
Abstract [en]

The main objective of Sweden’s yearly submissions to UNFCCC, EU Monitoring Mechanism and CLRTAP is to produce as accurate data as possible on the total emissions on national level. For fuel combustion, the reported emissions are calculated from activity data on fuel consumption and fuel specific emission factors and thermal values.

The objective of this project is to compile information on data sources used today for those sectors that are covered by the EU Emission Trading Scheme (ETS) for carbon dioxide (CO2), and to identify any advantages or disadvantages with applying ETS data in the Swedish GHG inventory to a greater extent than today. The information is primarily assembled from earlier SMED reports on this subject. The issue of separating trading and non-trading plants is also addressed. 

Today, the main source of activity data is Statistics Sweden’s quarterly fuel survey (QS), which includes about 1100 plants. Mostly, national standard emission factor and thermal values are used to calculate the emissions. About 700 plants are part of the ETS. Every year, these plants report their emissions of CO2 and in most cases the underlying consumption of fuels and raw materials to the Swedish Environmental Protection Agency. 

The greatest benefits from an increased use of ETS data would be achieved for those CRF sectors where the QS data is of questionable quality and/or the emissions are large and thus considerably contributes to the national totals. The prerequisites are, of course, different for different sectors. If ETS data should be used to the greatest extent possible for every sector, this would imply an additional cost of approx. SEK 200 000 per year.

This study shows that the CRF categories where it would be most beneficial to use ETS data to the greatest possible extent are 1A1b – oil refineries, 1A2d – pulp, paper and print, and CRF2 ingeneral, that is, process-related emissions. 

For a number of other CRF categories, it cannot be concluded that the data quality would be improved, and thus it would not be cost effective to use ETS data for these sectors, e.g. 1A1a, 1A2c, 1A2e and 1A2f. 

For a couple of categories, 1A1c and 1A2a, it is currently not possible to use ETS data for those plants that have the greatest emissions due to insufficient allocation of the emissions in the reporting to the ETS.

Place, publisher, year, edition, pages
Norrköping: Sveriges Meteorologiska och Hydrologiska Institut , 2008. , p. 41
Series
SMED Rapport, ISSN 1653-8102 ; 2008:83
National Category
Environmental Sciences
Research subject
SMED (Svenska MiljöEmissionsData), Air and climate
Identifiers
URN: urn:nbn:se:naturvardsverket:diva-11283OAI: oai:DiVA.org:naturvardsverket-11283DiVA, id: diva2:1962493
Available from: 2025-05-30 Created: 2025-05-30 Last updated: 2025-05-30Bibliographically approved

Open Access in DiVA

Use of ETS data in the GHG inventory(285 kB)19 downloads
File information
File name FULLTEXT01.pdfFile size 285 kBChecksum SHA-512
ad510ed7fd087e68a5bc133cf387d6c4080743cba508126aa90ef1365c1680b2aebb11f652d4f5ad3f7ff41d93c2b7f518ec253654451aed2e3375513917ee20
Type fulltextMimetype application/pdf

Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 21 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 43 hits
456789107 of 28
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf