This data repository is maintained by Boavizta and is complementary to Boavizta's environmental footprint evaluation methology. It aims to reference as much data as possible to help organizations to evaluate the environmental footprint of their information systems, applications and digital services.
Boavizta database is quite exclusively derived from PCF (Product Carbon Footprint) sheets provided by the manufacturers. Methodologies used by manufactureres are not transparent and have very large margins of error and the purpose of making these data available is mainly to give ideas of orders of magnitude and to compare different models from the same manufacturer.
Therefore WE RECOMMAND NOT USING THESE DATA TO MAKE ACCURATE IMPACTS EVALUATIONS or to compare the impacts of devices from different manufacturers.
In addition, most manufacturers rely on the PAIA evaluation method developed by MIT. This method is based on data from non-public studies and Boavizta was therefore unable to evaluate its relevance.
To browse data, you can use https://dataviz.boavizta.org.
This dataset is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/This data can be freely used for any purpose including without using Boavizta's methodology.
At this time, we provide two CSV files grouping together data collected from manufacturers (mainly Product Carbon Footprint reports) publicly avaiblable :
boavizta-data-fr.csv: French version (; used as a delimiter, comma as a decimal separator)boavizta-data-us.csv: English version (, used as a delimiter, dot as a decimal separator)We encourage all manufacturers to provide us with similar data or to correct potential errors in these files.
Boavizta working group works actively to enrich these files with new data :
Please refer to sources.md for a complete list of sources.
People are encouraged to contribute to these files.
You can easily contribute by :
If any manufacturers wish to share data with us, we will be happy to discuss with them how we can efficiently synchronize this data.
Download Chromedriver for your version of Chrome: https://chromedriver.chromium.org/downloads and move it to a folder that belongs to your path. For Mac you can also run
brew install chromedriverand restart Chrome.
Then create a python3.9 virtual environment, run
pip install -r tools/requirements.txtto install the required packages and follow the instructions on the spiders README.md to run a spider and parse the pdfs of the associated brand.
When developing a new parser you can also follow the instructions on the parsers README.md.
manufacturer: Manufacturer name, e.g. "Dell" or "HP"name: Product namecategory:
gwp_total: GHG emissions (estimated as CO2 equivalent, the unit is kgCO2eq) through the total lifecycle of the product (Manufacturing, Transportation, Use phase and Recycling)gwp_use_ratio: part of the GHG emissions coming from the use phase (the hypothesis for this use phase
are detailed in the other columns, especially the lifetime and the use_location)yearly_tec: Yearly estimated energy demand in kWhlifetime: Expected lifetime (in years)use_location: The region of the world in which the device usage footprint has been estimated.
report_date: the date at which the Product Carbon Footprint report of the device was publishedsources: the original URLs from which the data for this row was sourcedgwp_error_ratio: the datasheets commonly come with a diagram that shows the error margin for the footprintgwp_manufacturing_ratio part of the GHG emissions coming from the manufacturing phaseweight: product weight in kgassembly_location: The region of the world in which the device is assembled
screen_size: in inchesserver_type: the type of serverhard_drive: the hard drive of the device if anymemory: RAM in GBnumber_cpu: number of CPUsheight: the height of the device in a datacenter rack, in Uadded_date: the date at which this row was addedadd_method: how was the data for this row collectedBoavizta.org is a working group: