Overview of workflow

The diagram below outlines the process for preparing and entering input data, running the model, and performing post-analysis along with visualisation. The following sections provide additional details and guidance for each step.

Info

If you are considering using this model builder, please reach out to us at modelling@agora-thinktanks.org. We would be happy to help you get started. If you encounter a bug, please create a new issue. For new ideas or feature requests, you can start a conversation in the discussions section of the repository.

1. Build skeleton: This is the initial step where you define the scope and resolution of the model and run a script to generate empty data files. At this stage, it is important to specify the regions must be included in the model

2. Fill data: Use the generated empty CSV files to input your custom data. You can also create multiple scenarios with distinct data and conditions. We recommend maintaining a separate repository for storing and modifying your input data.

3. Run model: Execute the model with your defined scenarios via the command line.

4. Analyse results: Evaluate the model output using either Jupyter Notebook or locally run interactive app we provide - PyPSA-SPICE-Vis.