⚡ pypsa_dispatch_app

A simple Streamlit web app for interactive visualisation and analysis of electricity dispatch scenarios using PyPSA.

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Features

• Load and explore energy dispatch scenarios from NetCDF and CSV files
• Interactive Plotly visualisations
• Region and date selection

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Demo

You can deploy your own version using Streamlit Community Cloud.

Live Demo Tip: Right-click or Cmd/Ctrl+Click to open in a new tab.

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Installation

1. Clone this repository

   git clone https://github.com/chalg/pypsa_dispatch_app.git
   cd pypsa_dispatch_app

2. Install dependencies

   It’s recommended to use a virtual environment:

   python -m venv .venv
   source .venv/bin/activate     # On Windows: .venv\Scripts\activate
   pip install -r requirements.txt

3. Run the app

   streamlit run streamlit_app.py

   The app will open at http://localhost:8501.

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Directory Structure

pypsa_dispatch_app/
│
├── streamlit_app.py # Main Streamlit app
├── plot_dispatch.py # Plotting functions
├── requirements.txt # Python dependencies
├── results/ # Results directory (contains scenario files)
│ └── scenarios/ # Scenario files organized by resolution
│     ├── 30mins/ # Put your 30-minute resolution .nc and .csv files here
│     └── 60mins/ # Put your hourly resolution .nc and .csv files here
└── .streamlit/
    └── config.toml # Streamlit settings (default to light theme)

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Theme

The app defaults to light mode for all users via .streamlit/config.toml:

[theme]
base="light"

Author: Grant Chalmers

Made with Streamlit & PyPSA.