PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
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Updated
Apr 1, 2025 - Python
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.
PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System
Compiles assumptions on energy system technologies (e.g. costs and efficiencies) for various years.
A model that optimises investment and operation, and incorporates flexibility domestic demand flexibility to model scenarios for Great Britain's future energy system.
PyPSATopo is a tool that allows generating the topographical representation of any arbitrary PyPSA-based network
An open-source energy system model for Brandenburg/Berlin.
Site level energy system optimization model toolbox for investigations of EV fleet integration and management strategies
Stochastic linear program for investments in the European power system. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001424
Open and Compact model for the German Energy Transition (OCGModel)
GeoHeat-GB: A geospatial power systems planning model for heat electrification in Britain
Modeling-to-generate-alternatives with oemof.solph.
Model of the Piedmont (Italian region) energy system from 2011 to 2050, based on the TEMOA modeling framework and developed by MAHTEP Group.
This is the code repository for AECOM's energy system simulator, the Battery, Renewable Energy, and Demand Simulator (BREaDS).
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