PyPSA: Python for Power System Analysis

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

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

Export infrastructure data from OpenStreetMap using Python

Explore the impacts of 24/7 Carbon-Free Energy PPAs

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

🎓 Analysis of power grid failures caused by correlations in renewable production - 2019 thesis (BSc)

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

Code for paper "The Potential Role of a Hydrogen Network in Europe" based on PyPSA-Eur-Sec

Code for interactive dashboard for the paper "The Potential Role of a Hydrogen Network in Europe"

Code for the paper "Spatio-temporal load shifting for truly clean computing"

Personal Playground for Energy System Modelling with PyPSA

GeoHeat-GB: A geospatial power systems planning model for heat electrification in Britain

Aims to provide model predictive control for models with PyPSA backend.

A fork of some ideas on chaning the internals of the PyPSA modelling package internals. This is spesific to learning curves within the model.

Guidelines and code snippets for extracting and processing Elexon gross demand data on Databricks. Provides half-hourly GB demand at sectoral (Domestic, Non-domestic), GSP-area granularity, settlement demand, and embedded generation. Supports non-commodity cost calculations for CfD, RO, and FiT.

Interactive web application designed to simulate power systems

Analysis of a hybrid renewable energy network using PyPSA (Python for Power System Analysis