Jupyter Notebooks

This document briefly describes the Jupyter notebooks in the notebooks/ folder and gives quick usage notes so you can reproduce the figures and tables used in the PyPSA-ASEAN analysis.

To use this notebook, you need a PyPSA version of at least 1.0. To create a separate conda environment from an existing one:

$ conda create --name pypsa-earth-lab --clone pypsa-earth
$ conda activate pypsa-earth-lab
$ conda update -c conda-forge pypsa>=1.0

Then, activate jupyter lab:

$ jupyter lab

The analysis_helper.py contains dictionary and functions that are used across all notebooks mentioned below. To save the figure results, set savefig = True in the respective notebooks.

Preparation Analysis

The preparation_analysis.ipynb generates plots of networks prior to the solving process. This includes visualizing renewable energy potentials and displaying existing energy network in the region.

Validation Analysis

The validation_analysis.ipynb compares the baseline scenario for the year 2025 with historical results based on EMBER. Before using this script, you must have at least one network that has been solved beforehand.

Postnetwork Analysis

The postnetwork_analysis.ipynb generates an overview of the network after optimization. These scripts use features from PyPSA v1.0 to create KPI tables, energy network maps, and figures showing the total energy mix and system cost.

Regional Analysis

The regional_analysis.ipynb focuses on the regional dimension of the scenario results by disaggregating the energy mix by country and subregion. Additionally, there is an unused script for regional marginal prices.

Sensitivity Analysis

The sensitivity_analysis.ipynb compares the results of sensitivity scenarios with those of a selected benchmark scenario in terms of total energy mix and system cost.