A database for identifying and tracking renewable energy embodied in global trade

RE-FEA dataset This repository provides the Renewable energy featured final energy account (RE-FEA) and processing scripts supporting the Nature Sustainability publication "A database for identifying and tracking renewable energy embodied in global trade" (https://doi.org/10.1038/s41893-025-01614-9). RE-FEA is a high-resolution energy account with refined spatial, temporal, and sectoral details. It distinguishes 145 countries, 163 sectors, and spans the period from 2011 to 2022. RE-FEA provides final energy consumption data covering both renewable energy and fossil fuel (Unit: ktoe). For renewable energy, it includes hydropower, wind, solar, geothermal, tidal and biomass. To accommodate diverse research needs, we provide both renewable energy account aligned with IEA standards for tracking energy transition trends, and a carbon-free energy account (i.e. renewable energy excluding biomass products) for carbon-free footprint analyses. This dataset is used within a multi-regional input-output (MRIO) framework. For the MRIO table, our energy account is mapped to REX3 (Resolved EXIOBASE Version 3; https://doi.org/10.5281/zenodo.10354283). We also provide an energy account mapped to EORA MRIO tables (https://worldmrio.com/) from 2011 to 2021. Code Code for RE-FEA construction and MRIO analysis. Python: Scripts 01-04 is for energy account construction01_IEA_EEB_filter_V7_102_RegionMap_V7_103_SectorMap_V7_104_SplitEle_V7_1 Scripts 05 is used to classify countries into five roles05_RoleClassfication_V7_1 ---------------------------------------------------Matlab: For MRIO analysisX_format_01_V7_1: calculate X,A Leontif_02_V7_1: calculate LMRIO_02_V7_1: MRIO functionResultEmbRe_03_V7_1: MRIO analysis Mapping matrices Geographical and sectoral mapping matrices used to develop RE-FEA database.