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Pan-European Dataset for Energy System Planning in Spine Tools This dataset contains information about the following sectors in Europe: Variable Renewable Energy Hydro, reservoirs, run-of-river and pumped-hydro storage Biomass Energy conversion and storage Electricity transmission (cross-border) Methane and hydrogen Cargo transport, biomass, hydrocarbon liquids and methanol Industry, chemicals, glass, fertilisers, refineries, wood, food, paper, non-ferrous metals, non-ceramic minerals, ceramics, machinery, transport equipment, textile, aluminium, cement and steel Buildings, non-residential and residential, heating and cooling Transport, road, rail, aviation and shipping Residual electricity demand The dataset must be opened through SpineToolbox (from v0.10.5, spine-tools/Spine-Toolbox: Spine Toolbox is an open source Python package to manage data, scenarios and workflows for modelling and simulation. You can have your local workflow, but work as a team through version control and SQL databases.). The main folder contains and configurable file (userconfig.yml) to develop the target model. The target model is formatted through an interoperable energy system specification (INES, ines-tools/ines-spec: Interoperable energy system data specification). This dataset includes data of EU27 plus UK, CH and NO. Key details: Sectoral spatial resolution Possibility to run your model for 5 weather years: 1995, 2008, 2009, 2012, and 2015. More than 40 years of climate data for residual electricity demand, VRE, and hydro. 2025 as baseline 3 planning years available: 2030, 2040 and 2050 Bronwfield scenario Learn more about this framework: Data content - Data Description | Pan-European Energy Planning Use this dataset - Getting Started | Pan-European Energy Planning Setup your mode - Set Up Your Framework | Pan-European Energy Planning Changelogs: V0.3 Scalability to new units Fixing, industry, hydro and biomass data pipelines. INES builder fix V0.2 New data, sector: Energy conversion, hydro and industry. New features, different spatial resolution per sector and cross-border exchanges for country-level models.