EcoDynElec: Open Python package to create historical profiles of environmental impacts from regional electricity mixes
François Lédée,
Pierryves Padey,
Kyriaki Goulouti,
Sébastien Lasvaux,
Didier Beloin-Saint-Pierre
Affiliations
François Lédée
Institute for Integrated Energy Systems, University of Victoria, Canada
Pierryves Padey
Solar Energy and Building Physics Laboratory, Institute of Thermal Engineering, University of Applied Sciences of Western Switzerland (HES-SO), Avenue de Sports 20, 1401, Yverdon-les-Bains, Switzerland
Kyriaki Goulouti
Solar Energy and Building Physics Laboratory, Institute of Thermal Engineering, University of Applied Sciences of Western Switzerland (HES-SO), Avenue de Sports 20, 1401, Yverdon-les-Bains, Switzerland
Sébastien Lasvaux
Solar Energy and Building Physics Laboratory, Institute of Thermal Engineering, University of Applied Sciences of Western Switzerland (HES-SO), Avenue de Sports 20, 1401, Yverdon-les-Bains, Switzerland
Didier Beloin-Saint-Pierre
EMPA – Swiss Federal Laboratories for Material Science and Technology, Technology and Society Laboratory, Lerchenfeldstrasse 5, 9014, St. Gallen, Switzerland; Corresponding author.
This article presents the EcoDynElec python package that creates temporal historical profiles of various potential environmental impacts for electricity mixes in different regions. The profiles are evaluated with the same electricity modeling structure that is used in life cycle assessment databases, simplifying their consistent combination in studies. The open access information from the ENTSO-E platform is used as an input that enables the creation of profiles that can reach temporal precision of 15 min for the last five years. EcoDynElec is shared to open its use in environmental studies that can be substantially affected by the temporal variability of electricity uses.