energy-system-modelling

PyPSA: Python for Power System Analysis

PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System

A highly adaptable modelling framework for multi-energy systems

OSeMOSYS Tools for Energy

IRENA FlexTool is an energy and power systems model for understanding the role of variable power generation in future energy systems.

Carbon Budget Scenarios for Ireland's Energy System, 2021-50

Provincial capacity expansion and hourly dispatch optimization model for China's power system (31 provinces, 8760h, 11 gen + 6 storage tech, 3 scenarios, dual-carbon pathway 2025-2060)

PyLESA: A Python modelling tool for planning-level Local, integrated, and smart Energy Systems Analysis. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711021000443

Python-based district energy system model for simulation and optimisation of heat, electricity, and storage at district scale.

Tessif as it was developed during the lead developer's time at the Hamburg University of Technology

Scripts to conduct myopic runs with OSeMOSYS models

Local interpretable explanations for energy system design models

PyPSA-Eur-IAM: Coupling PyPSA-Eur with Integrated Assessment Models

Techno-economic PyPSA model for post-subsidy operation strategies of an agricultural PV system.

package for plotting pypsa network topologies by carrier

PyPSA-Eur's data-retrieval layer as an FFL workflow — 1,631 lines and 73 Snakemake rules become one catalogue-driven foreach

OpenStreetMap power infrastructure → model-ready grid CSV/GeoJSON — the Facetwork/FFL equivalent of PyPSA grid-builder (Snakemake)

Processing pypsa-output to IAMC-Variables, compatible for validation workflow