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.

The Integrated MARKAL-EFOM System (TIMES) - a bottom-up optimization model for energy-environment systems

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.

Balmorel Model

A model that optimises investment and operation, and incorporates flexibility domestic demand flexibility to model scenarios for Great Britain's future energy system.

🔋 Represent energy systems as Python data classes for improved modularity and readability

PyPSATopo is a tool that allows generating the topographical representation of any arbitrary PyPSA-based network

IESopt (Integrated Energy System Optimization) is a modeling and optimization framework for integrated energy systems.

TIMES Demo Model

TIMES-Ireland Model (TIM)

An open-source energy system model for Brandenburg/Berlin.

Full documentation of ETSAP-TIMES model

Model of the Italian energy system from 2006 to 2050, based on the TEMOA modeling framework and developed by MAHTEP Group.

Imported from gitlab.windenergy.dtu.dk/esy/times-dk_comets

Veda2.0 is a data handling system for The Integrated MARKAL-EFOM System (TIMES) - a bottom-up optimization model for energy-environment systems

Multi-vector dispatch and investment model of the whole energy sector with endogenous representation of energy sources, carriers, storage options and end-use demand possibilities.

Stochastic linear program for investments in the European power system. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001424

MAHTEP version of the TEMOA (Tools for Energy Model Optimization and Analysis) energy system modeling tool