Database
CML-IA Characterisation Factors
CML-IA is a database that contains characterisation factors for life cycle impact assessment (LCIA) and is easily read by the CMLCA software program.
- Auteur
- CML - Department of Industrial Ecology
- Datum
- 05 september 2016
Features
- Contains the characterisation factors for all baseline characterisation methods mentioned in the Handbook on LCA, such as GWP100, POCP, HTPinf and AP.
- Contains additional characterisation factors for non-baseline characterisation methods, such as GWP20, HTP100 and MSETP.
- Contains additional characterisation methods, such as Eco-indicator 99 and EPS.
- Contains normalization data for all interventions and impact categories at different spatial and temporal levels.
- Contains easy connection with CMLCA.
- Can be downloaded free of charge.
- Last update: August 2016.
Getting and using the database
- The CML-IA database is available in two formats:
- Excel format (zipped): cmlia.zip (18.7 Mb)
- CMLCA format: cmlia_august_2016.lca (1.4Mb); most suitable for the import of characterisation factors in CMLCA
- Instructions for the use of the Excel file:
- Download the file from the Downloads section.
- The Excel has been compressed with WinZip. Decompressed, the file is approximately 75 MB. It can be opened with MS-Excel; this program may warn you that the file contains macros. These macros are needed to navigate through the file, and, as far as we know, harmless.
- The zip file also contains a small update information file.
- The second tabsheet contains a table of contents.
- To export characterisation factors and/or normalization data in a form that CMLCA can access, use the export buttons in the table of contents.
- If needed the Excel file can be imported into CMLCA
- Instructions for the use of the LCA file:
- Download the file from the Downloads section.
- CMLCA can be obtained from our CMLCA website.
- Start CMLCA and open the LCA file using ctrl-o
Feedback
You may communicate errors or problems to Lauran van Oers.
Downloads
- cmlia.zip (18.7 Mb)
- cmlia_august_2016.lca (1.4Mb)