PyPSA: Python for Power System Analysis
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Updated
Dec 19, 2025 - Python
PyPSA: Python for Power System Analysis
An open-source nuclear reactor analysis automation framework that helps design teams increase efficiency and quality
Using electric vehicle charging data, I explore when drivers are likely to plug in their cars, and how much additional electricity demand that will create when the number of electric cars increases.
DIF3D plugin to the ARMI nuclear reactor analysis framework
Simple example of an application built with the Advanced Reactor Modeling Interface
Savvy Raghuvanshi's Summer 2017 CEP Data Consolidation Project
The AEM API provides researchers and developers with a way to interact programmatically with the Advanced Electrolyte Model software developed by Idaho National Laboratory (INL). The API facilitates the integration of AEM’s capabilities into other software solutions, enabling seamless automation and data analysis workflows.
# Polymer Fusion Framework
Electrification Futures Insight (EF-Insight)
Sustainable waste-to-biogas platform built with Django. Manages waste collection, accruals, and metered clean cooking gas distribution.
This program is a command line interface application (CLI app), developed in Python to automate data wrangling transformations by cleaning and structuring energy demand (load) data from electricity agencies in 10 Southern African countries. The CLI app supports the data analytics and data pipeline development for the UC Santa Barbara CETlab
This project provides a real-time 3D simulation of a Solar Tower power plant, demonstrating how solar mirrors dynamically reflect sunlight onto a central receiver, supporting clean, renewable energy.
The 5000 Hydrogen Vehicle Challenge was a project where we developed an interactive game using Python to promote awareness and engagement with hydrogen-powered vehicles.
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