The code and data provided in this repository are at the basis of the paper "Representative Life Cycle Assessment modelling of prospective trajectories: A parametric approach applied to the French heating sector" co-authored by Mélanie Douziech, Romain Besseau, Raphaël Jolivet, Bianka Shoai-Tehrani, Jean-Yves Bourmaud, Guillaume Busato, Mathilde Gresset-Bourgeois and Paula Pérez-López. This paper shows how parameterized foreground and background inventories can be combined using the lca_algebraic library to flexibly estimate the environmental impacts occurring over the life cycle of a system of interest. This methodology was illustrated by estimating the environmental impacts of the planned evolution of the French heating sector until 2050. The setup and instructions provided below allow to generate the environmental impacts of the French heating sector as presented in the paper. The results can be found in the data/out folder. In addition, the script electricity.ipynb suggests ways to investigate the energy scenarios analysed. Input and output data of this script can be found under data/{in/out}/elec. The scripts located in the lib folder define all parameterized models developed to represent, on the one hand, the energy production scenarios and, on the other hand, the heat production scenarios. They can be reused and adapted in other contexts if wished. The parameters used to feed into the energy models can be found in the data/in/params folder, the ones for the heat models in data/{in/out}/heat. This is a snapshot of the public Gitlab repository : https://git.sophia.mines-paristech.fr/oie/energy-2050 Requirements To run this code, you will need : A setup of Conda A copy of ecoinvent 3.6 Content The repository is organised as follow : lib : contains the code of the models param_models : code for the electricity inventories heat : code for the inventories of heat production data : in : input data elec : input data for electricity inventories : electricity inventories scenarios : scenarios of evolution of the electricity mix heat : input data for heat inventories out : output data, as produced by the notebooks elec : output of eletricity notebook graphs environmental impacts, as graphs tables environmental impacts, as CSV files heat : output of heat notebook {LOW, REF, SOBR} : results for 3 separate scenarios of consumption (low, reference and sobriety) {BR50_MO_CC1, BR50_NO3_CC1, FR_STATIC} : results for 3 scenarios of evolution of electricity mix {residential, tertiary} separate results for residential and tertiary buildings literature : Dataset of environmental impacts found in the litterature. Setup Dependencies Create a new conda environment energy2050 with all dependencies, by typing this command into a Conda console : > conda env create -f environment.yml Alternatively, you may import the environement via the user interface of Anaconda (for Windows) Ecoinvent Unzip Ecoinvent (ecospold 7z archive) within this project, into a folder named ecoinvent3.6. It should contain a sub folder datasets. Usage ⚠️ The following commands should be executed at the root of this project. The following commands require to use the conda environment created above. Run this command once : > conda activate energy2050 First you should import ecoinvent and setup all parametric models & scenarios with : > python setup.py Then, you can run the Notebooks (command : jupyter-notebook) electricity.ipynb : Calculation of the environmental impacts of the electricity mix and its future evolution according to several scenarios. This notebook generates the graphs and dataset in data/out/elec. heat.ipynb : Calculation of the environmental impacts of heat generation and its future evolution according to several scenarios. This notebook generates the datasets in data/out/heat figures.ipynb : Generates the figures found in the article. Translation & Glossary We tried to translate most of the code from French to English. There are still some variables names and input data that remain in French. We provide the following glossary to translate remaining French words and acronyms. Electricity French English Autre thermique Others thermal Autre-fioul Other-fuel Autre-gaz Other-gas Autres (profilés) Other (profiled) Batteries (charge) Battery (charge) Batteries (décharge) Battery (discharge) Bioénergies Bioenergies Biogaz (profilé) Biogas (profiled) Biomasse (pilotable) Biomass (dispatchable) CCG équilibrage CCG grid-balancing Centrale équilibrage (total) Balancing plant (total) Charbon Coal Cogé-fioul Co-generation-fuel Cogé-gaz Co-generation-gas Cogénérations Co-generation Consommation Consumption Cycles combinés au gaz Gas combined cycles plant Déchets (part non renouvelable, profilés) Waste (non renewable share profiled) Déchets (part renouvelable, profilés) Waste (renewable share profiled) Déchets (total) Waste (total) Demande totale Total demand Effacements Reduction # maybe not the best Energie déversée Energy discharged Energie non distribuée Energy non distributed Energies marines Marine energies Energies renouvelables Renewables energies Eolien Wind Eolien en mer Offshore wind Eolien terrestre Onshore wind Exportations Exports Fil de l'eau run-of-river Fioul (total) Fuel (total) Fioul lourd Heavy fuel Gaz (total) Gas (total) Gaz conventionnel Conventional gas Géothermie (profilée) Geothermal (profiled) Houlomotrice (profilée) Wave energy (profiled) Hydraulique Hydroelectricity Hydrolienne (profilée) Hydrokinetic power (profiled) Importations Imports Lignite Lignite Mobilité pilotée Piloted mobility Nucléaire Nuclear Offre totale Total offer Petite biomasse (profilée) Small scale biomass (profiled) Pompage Pumping Production totale Total production Réservoir dam Solaire Solar TAC équilibrage Thermal fuel grid-balancing TAC-fioul Thermal fuel TAC-gaz Thermal gas Thermique dispatchable Thermal dispatchable Turbinage STEP hydrostorage turbining Turbines à combustion Combustion engine Heat French English Ancien old Biomasse dont bois biomass including wood BU = bureau office C = Commerce trade CHR = Cafés-hôtels-restaurants bar-hotels-restaurants CU = Consommation unitaire unitary consumption Electricité electricity ER = Enseignement-recherche teaching-research Fioul fuel Gaz gas HC = Habitat communautaire community housing IC = Immeuble collectif collective building MI = Maison individuelle individual housing Neuf new Récent recent Réseau de chaleur district heating Residentiel residential S = Santé health SLC = Sport, Loisirs, Culture sport, leisure, culture Solaire thermique solar heating Tertiaire tertiary TR = transport transport License Both the code and the data are distributed under the licence Creative Common - CC-by-SA 4.0

This is a snapshot of the public Gitlab repository : https://git.sophia.mines-paristech.fr/oie/energy-2050