The notebooks in this repository are recipes for energy and climate modelers. They require open source software and they can run locally or online (Google Colab).
The notebooks have been used as training material for the Next Generation Challenges in Energy-Climate Modelling Workshop
Main contributors: Ekaterina Fedotova (EF), James Fallon, Matteo De Felice
Notebook authors: Ekaterina Fedotova (EF), Hanna Bloomfield (HB), Matteo De Felice (MDF)
Here you can find a list of education material from the Next Generation Energy Climate Modelling workshop.
- C.001: Load climate data and subset (HB)
- C.002: Extract and average data (HB)
- C.003: Converting from wind speed to wind power (HB)
- C.004: Creating more complex maps
- C.005: How to apply a country mask (land mask, weighted mask):
- C.006: Computing NAO EOF using
eofs(MDF) - C.007: Computing NAO EOF using
xeofs(MDF) - C.008: wind speed time-series data compared with ENTSO-E wind power production (MDF)
- E.001: Creating your first power system model (MDF)
- E.002: Extending E.001 with some additional demand flexibility (MDF)
- E.003: Extending this model to include two countries (MDF)
- E.004: Investigation of a simplified model for Uruguay (EF)
The notebooks use open-source tools only. The file requirements.md provides a list of the Python modules needed and some instructions to run them on Google Colab.
The data files used in the notebooks can be downloaded running the notebook download.ipynb in the data folder.
AGPL and CC-BY-4.0