pz-max / pypsa-earth-lit

Streamlit module that works along a stable package version

PyPSA-Earth-Lit

Testing streamlit module that works along a stable pypsa-earth package version

Visit the hosted version of the application at https://tauritron.com/

Refer to the documentation for information about contributions and further understanding: https://docs.tauritron.com/

Folder Structure

pypsa-earth-lit is designed to seamlessly integrate with existing pypsa-earth projects. To set up, simply place the pypsa-earth-lit folder as a sibling directory to your solved pypsa-earth project. This smart integration enables pypsa-earth-lit to automatically extract the necessary files required for plotting purposes.

By following this straight forward setup, you can effortlessly leverage pypsa-earth-lit to generate insightful visualizations using the relevant data extracted from your pypsa-earth project.

Feel free to explore and contribute to pypsa-earth-lit as it enhances the plotting capabilities of your pypsa-earth endeavors.

note - the pypsa-earth folder path is defined in pypsa-earth-lit config.yaml file under data_dir and can be changed to any other path.

Getting Started

To begin using this application, we have precompiled a solved pypsa-earth project for your convenience. Follow the steps below to retrieve a sample pypsa-earth directory and set up the necessary environment to run pypsa-earth-lit.

Depending on what you need, recommended order.

- mkdir tauritron-project
- cd tauritron-project
- git clone https://github.com/pypsa-meets-earth/pypsa-earth-lit.git

- make -f ./pypsa-earth-lit/Makefile get_data
- conda env create -f ./pypsa-earth-lit/env.yaml
- conda activate pypsa-earth-lit
- cd pypsa-earth-lit
- pip install -e .
- make -f ./Makefile run_app

Result Preview

Here's a glimpse of the exciting results you can expect while using pypsa-earth-lit to enhance your pypsa-earth projects:

 

 

 

 

These visuals showcase just a fraction of the insightful plots and analyses you can generate using pypsa-earth-lit. Dive into your data and uncover valuable insights with ease.

Using Your Own PyPSA-Earth

If you are new to PyPSA-Earth, it is recommended to follow the tutorial before proceeding with the steps outlined below. Familiarity with PyPSA-Earth will enhance your understanding of the following instructions.

In contrast to the solve_all_networks command that uses the default configuration present in the PyPSA-Earth root directory, we will be employing a different command: snakemake -j1 run_all_scenarios. This command leverages multiple configurations located in pypsa-earth/configs/scenarios.

Custom Configurations for Scenarios
For each scenario, you have the flexibility to define a unique configuration file in the form config.scenario_name.yaml. These custom configurations allow you to tailor the parameters and settings specific to each scenario, optimizing the analysis for your project's requirements.

Executing the command snakemake -j1 run_all_scenarios triggers PyPSA-Earth to process the defined scenarios using their respective configurations. The output is a collection of folders inside the results directory, each corresponding to a scenario. These folders contain essential data and results produced by PyPSA-Earth.

The generated folders within the results directory, along with other relevant data from PyPSA-Earth, serve as the foundation for the PyPSA-Earth-Lit application. PyPSA-Earth-Lit seamlessly integrates this data, enabling you to visualize, analyze, and interact with scenario-specific insights through informative plots and visualizations.

Refer to the attached images and the solved PyPSA-Earth project in this repository for a clearer understanding of the structure and output.

Final Step: Connecting PyPSA-Earth-Lit to PyPSA-Earth

We are now at the threshold of unlocking the power of insightful visualizations using PyPSA-Earth-Lit. Before diving into the world of awesome graphs, there is one final step that bridges the gap between your PyPSA-Earth scenarios and the PyPSA-Earth-Lit application.

Adding Scenario Names to config.yaml

1. Navigate to the config.yaml file within the pypsa-earth-lit/pages/utils/ directory.

2. In the config.yaml file, locate the section under scenario_names. Here, you will find predefined test scenario names.

3. Add your resulting scenario names to this section, providing user-friendly names for each scenario. This crucial step establishes the connection between PyPSA-Earth-Lit and your PyPSA-Earth scenarios.

By adding scenario names and corresponding user-friendly names to the config.yaml file, you enable PyPSA-Earth-Lit to seamlessly access and visualize the data generated by your PyPSA-Earth project.

Visualizing Awesome Graphs

With the scenario names linked in the config.yaml file, you are now ready to immerse yourself in the world of awesome graphs and visualizations.Navigate to PyPSA-Earth-Lit application, launch it by executing the following commands in your terminal: console- make -f ./Makefile run_app

explore the insights offered by your PyPSA-Earth scenarios.

Your path to insights is complete. Congratulations on connecting the dots between PyPSA-Earth and PyPSA-Earth-Lit !!!