This is a repository for the publication "Regionalized sourcing strategies of lignocellulose residues for a net-zero chemical industry" (https://doi.org/10.1021/acs.est.4c03005). It allows the calculation of the availability of lignocellulosic residues in from 2000 to 2050 under two RCP scenarios (RCP1.9 and RCP6.5) at a resolution of 200 km x 200 km. It further allows to quantify the prospective environmental impacts of these lignocellulosic residues on the country level with life-cycle assessment (LCA).
The analysis is based on the Global Biosphere Management Model (GLOBIOM). The LCA part is based on the Brightway2 framework and the premise tool.
The repository contains the following files:
README.md: This fileLICENSE: The license fileenvironment.yml: The conda environment filemain.py: The Python script for running the analysisdata/: The folder containing the data used for the analysissrc/: The folder containing the source code of the analysisfigures/: The folder containing the figures generated by the analysis
Jing Huo, ETH Zurich, [email protected]
The analysis requires the following external data (in the data/external/ folder):
Agrifootprint6_economic.csv: Agri-footprint 6, economic allocation database, exported as csv file with Simapro 9.4.0.2. https://simapro.com/products/agri-footprint-database/AWARE_water_CF.xlsx: Water scarcity characterization factors on the country level based on AWARE method, downloaded from https://wulca-waterlca.org/wordpress/wp-content/uploads/AWARE_country_regions_Corrected_online_20230113-1.xlsxbiodiversity_CF_country_domain.csv: Land-use related biodiversity loss characterization factors on the country level, provided by Laura Scherer. Related publication: https://pubs.acs.org/doi/10.1021/acs.est.3c04191FAOSTAT_crop_harvest_area.csv: Crops and livestock products data from FAOSTAT, for ALL COUNTRIES, ITEMS="Crops, primary>(List)", ELEMENTS="Area harvested", YEARS=2019-2021, downloaded from https://www.fao.org/faostat/en/#data/QCLFAOSTAT_fertilizer_product.csv: Fertilizer by Product data from FAOSTAT, for ALL COUNTRIES, ALL ITEMS, ELEMENTS="Production Quantity", YEARS=2018-2020, downloaded from https://www.fao.org/faostat/en/#data/RFBFRA_biomass_stock.xlsx: Biomass stock data from FRA 2020, for ALL Countries, ALL FRA Variables (Above-ground biomass, Below-ground biomass, Dead wood), Year=2020, downloaded from https://fra-data.fao.org/assessments/fra/2020/WO/sections/biomassStockFUBC_1_to_9_data.xlsx: NPK fertilizer data by crop and country, downloaded from https://zenodo.org/records/6547091. Only the 9th FUBC report was used.GLAM_land_intensity_5min.tif: Land use map used for biodiversity loss characterization factors, provided by Laura Scherer.Pfister_blue_water_by_crop_country.xlsx: Blue water consumption data by crop and country, downloaded from https://pubs.acs.org/doi/full/10.1021/es1041755Siegrist_climate_soil_by_country.xlsx: Climate and soil data by country, provided by Armin Siegrist.Scherer_land_use_match.csv: Table to match land use inventories (ecoinvent) and biodiversity impact assessment methods: downloaded from https://doi.org/10.1007/s11367-021-02003-y
It further requires data from GLOBIOM (in the data/globiom/ folder).
For data requests, please contact the authors.
The data/ folder contains the following subfolders:
external/: External data required for the analysisinterim/: Intermediate data generated during the analysisprocessed/: Processed data generated during the analysisraw_data/: Raw data used for the analysisglobiom/: Data from GLOBIOM
To run the analysis, install conda environment using the environment.yml file. Then, run the script main.py in the root folder of the repository.
This publication was created as part of NCCR Catalysis (grant number 180544), a National Centre of Competence in Research funded by the Swiss National Science Foundation.