Index
The introduction chapter provides context for the Google-GO project and explains how to reproduce its results.
Background
The Google-GO project investigates how annual and hourly Guarantees of Origin (GOs) procurement can act as an investment signal for the energy transition. Further details are on Background.
Installation
For instructions on setting up your environment, cloning the repository, and installing necessary dependencies and solvers, please refer to the Installation guide. This section provides detailed steps for both preferred (pixi) and legacy (conda) Python dependency management methods, as well as guidance on installing external solvers crucial for the PyPSA-Eur network optimization.
Running Scenarios
The Run Scenarios section explains how to utilize the run_scenarios.py script to manage and execute different project scenarios. This command-line utility simplifies the process of selecting base configurations, specific scenarios, and execution profiles (e.g., local CPU usage or computer clusters), enabling dynamic updates to configuration files and automated snakemake command execution.
Assumptions
The Google-GO project introduces key modeling assumptions that differentiate it from the standard PyPSA-Eur model to align with the project's scope. Further details are on Assumptions.