Modelling workflow

This section covers the path from a fresh copy of the code to solved models. The software is set up once; a single command then runs the pipeline, which picks representative days, builds an OSeMOSYS model for each storage formulation, solves them and saves the results. New scenarios only need changes to one configuration file. On a first run, the cards are best followed in order.

01 Set up the environment Python, the GLPK solver and all packages are installed with one make setup, then checked. 02 Quickstart Choosing a scenario, running python workflow/main.py and locating the results, in four short steps. 03 How the pipeline works What workflow/main.py does at each stage, from loading data to clustering, solving and plotting. 04 Configuration Every setting in config.yaml: number of days, hour grouping, storage limits and models to run.