PyPSA Demo: Energy Modelling Made Simple with Convexity
Overview
PyPSA has become the gold standard for open energy systems modelling, offering powerful capabilities for energy system analysis and optimisation. However, getting started with PyPSA can be challenging, especially if you don't have a strong coding background.
At Bayesian Energy, we're building Convexity because we want to make energy systems modelling easier than ever before - whether you're a beginner or an expert. Our platform bridges the gap between complex coding requirements and practical energy modelling needs.
See Convexity in Action
In the demo below, Aman Majid (Co-founder, Bayesian) shows you how you can utilise PyPSA cross-compatibility directly within Convexity, in just a few clicks. Watch how easy it is to get started with energy systems modelling without needing to write complex code.
Demo: PyPSA Integration in Convexity
This demonstration showcases how Convexity simplifies the energy modelling process while maintaining the power and flexibility of PyPSA's underlying algorithms.
The model featured in this demo was created by Andrew Lyden at The University of Edinburgh. View the PyPSA-GB repository on GitHub.
Key Features Highlighted
The demo showcases several key features that make Convexity the ideal platform for energy systems modelling:
- No-Code Interface - Access PyPSA's capabilities without writing a single line of code
- Cross-Platform Compatibility - Seamlessly work with PyPSA models and data
- Rapid Prototyping - Build and test energy models in minutes, not hours
- Professional Results - Generate publication-ready visualisations and reports
Whether you're a researcher, consultant, or energy professional, Convexity provides the tools you need to succeed in energy systems modelling.